Prompt Engineering Course | Prompt Engineering Fundamentals

ITIL 4® Foundation Certification Training

Generative AIPrompt Engineering Course

Prompt Engineering Course in Benin

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Master the Art of AI Communication with Prompt Engineering Course. Prompt Engineering Course empowers you to craft effective prompts for generating desired AI outputs like text or code. Our Prompt Engineering Training covers Prompt Engineering Fundamentals, how to optimize prompts for specific AI models and Improve response quality. Prompt engineering jobs are projected to grow by 30% in the next 5 years. Become an AI innovator, shaping the future.

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Real-World Case Studies

Hands-On Project Experience

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Overview Benefits Curriculum Corporate Trainings Trainers FAQs Reviews

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Course Overview

Prompt Engineering Course Overview

Prompt Engineering Course equips you to harness the power of Generative AI, transforming your interaction with AI models. Through hands-on exploration of fundamental concepts, Deep Learning, and advanced Generative Models, you will gain the ability to craft precise, effective prompts that unlock AI's full potential.

You will navigate the intricacies of Prompt Engineering, Large Language Models (LLMs), LangChain, and RAG, gaining practical experience in customizing AI to specific applications. This Prompt Engineering Course syllabus covers performance evaluation, and essential tools like Hugging Face Transformers and the OpenAI GPT3 API, culminating in a capstone project showcasing your newfound expertise. Whether you're an AI enthusiast or a seasoned professional, this course offers a direct path to AI mastery.

Simpliaxis's Prompt Engineering Training provides the structured learning environment needed to excel in AI model customization. Master the art of crafting precise prompts, optimizing model performance, and leveraging cutting-edge tools. Propel your career in AI, unlock new possibilities, and stay ahead in this rapidly evolving field.

Prompt Engineering Skills Covered

Prompt Engineering
Leveraging Generative AI
Large Language Models
LLM Application Development
Working with ChatGPT
Working with Popular GenAI Tools

Prompt Engineering Tools Covered

ChatGPT
Bard
Python
TensorFlow
Keras
Jupyter
VS Code
DALL-E 2
Midjourney
Hugging Face
Open AI
Amazon Bedrock
Amazon Code Whisperer

Prompt Engineering Course Training Highlights

Prompt Engineering Course - Key Features

30 Hours weekend Live Instructor Online Training

Unlimited Access to Course Content

Resolve Doubts in Real-time

Hands-on Projects Project-Based Learning

Global Recognition

Interactive Workshops

Comprehensive Curriculum

24/7 Support and Learning Assistance

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Career upliftment

Reasons to Enroll on this Prompt Engineering Course

Prompt Engineering Course Learning Opportunities

Understand the fundamental principles of Prompt Engineering and its role in AI communication.
Craft effective prompts to elicit desired responses from various AI models.
Apply Prompt Engineering techniques to improve the performance of large language models (LLMs).
Utilize advanced Prompt Engineering strategies like chain-of-thought prompting and few-shot learning.
Evaluate and fine-tune AI model outputs for accuracy, relevance, and safety.
Identify and mitigate potential biases and ethical concerns in AI-generated content.
Adapt Prompt Engineering techniques for different applications like chatbots, content generation, and translation.
Produce captivating AI-generated art and imagery through refined prompts.
Craft compelling narratives and generate diverse content with creative writing prompts.
Streamline code generation and debugging processes using precise prompt engineering.
Design engaging and informative chatbot interactions through effective prompt crafting.

After completion of this Prompt Engineering course, learners will be able to:

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Prompt Engineering Course Practice Test Series

Immediate Result
Sample Papers
Time-Limited
Comprehensive Explanation
Previous Exam

Benefits focused on Individuals and corporate

Individual & Organizational Benefits

Individual

Improved problem-solving by breaking down complex tasks into manageable steps for AI models
Boosted creativity through crafting prompts that spark innovative and unexpected AI outputs
Master AI communication to guide models in generating precise, relevant, and insightful responses
Optimize AI efficiency by designing prompts that minimize errors, saving time and resources
Future-proof your skills with expertise in a rapidly evolving field, opening new career doors

Organizational

Improved productivity by empowering teams to leverage AI tools for faster, better results
Cost savings from reducing reliance on expensive external AI expertise and optimizing resource use
Enhanced AI adoption by fostering a culture of AI proficiency and innovative technology use
Streamlined workflows with standardized prompt templates for consistent and efficient AI interactions
Competitive advantage through harnessing AI’s full potential to drive business growth

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Common attendees

Who usually attend Prompt Engineering Course Training

AI professionals
Developers
Data scientists
Business professionals
Anyone interested in AI

Prerequisites for Prompt Engineering Course certification training

Prerequisites and Eligibility

Prompt Engineering Course Eligibility

There are no prerequisites required for this Prompt Engineering course.

However, you will get the most out of it if you have:

Some familiarity with machine learning concepts: This helps you understand the 'why' behind the 'how'.

A basic grasp of Python: You will be interacting with code and APIs.
Strong problem-solving skills: Prompt engineering is all about creative solutions.

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Curriculum

Generative AI and its Industry Applications

Topics

Generative AI Principles
Types of Generative Models
Applications of Generative Models
Machine Learning Algorithms with GenAI
Applications of Generative AI
Generative AI Advantages and Disadvantages
Ethical Considerations

Hands-on Projects

Implementing Generative AI Use Cases
Implementing Machine Learning with GenAI

Skills You Will Learn

Generative AI Fundamentals
Generative AI for Problem Solving
Ethical Insights into Generative AI

NLP and Deep Learning

Topics

Natural Language Processing (NLP) Essentials
Text Classification
Text Preprocessing
Basic NLP Tasks
Deep Learning for NLP
Neural Networks
Backpropagation
RNN
LSTM
Deep Learning Applications in NLP

Hands-on Projects

Simple Text Classification Task
Implementing Core NLP Tasks
Working with Deep Learning for NLP

Skills You Will Learn

Text Classification
Text Pre-processing
Deep Learning Applications for NLP
Neural Network Architectures

Autoencoders and GANs

Topics

Basic Autoencoders
Variational Autoencoders (VAEs)
Applications in Data Compression and Generation
Basic GAN Architecture
Training GANs
Variants of GANs
DCGAN
CycleGAN

Hands-on Projects

Working with GANs
Data Compression with Autoencoders
Training Variants of GANs

Skills You Will Learn

Working with Autoencoders and VAEs
GAN Architecture
GAN Training Techniques

Language Models and Transformer-based Generative Models

Topics

Exploring Language Models
Types of Language Models
Applications of Language Models
The Transformer Architecture Attention Mechanism
Advanced Transformer Models
GPT
BERT
Applications of Transformer-based Models

Hands-on Projects

Working with GPT
Implementing BERT
Applying Advanced Transformer Models

Skills You Will Learn

Working with Language Models
Transformer Architectures
Implementing Transformer-based Models

Prompt Engineering

Topics

Prompt Engineering Principles
What is Prompt Engineering?
Importance and Applications
Prompt Design Strategies
Types of Prompting
Crafting Effective Prompts
Parameter Tuning

Hands-on Projects

Designing Precise Prompts
Experimenting with Various Prompt Design Strategies
Advanced Parameter Tuning for Prompt Engineering

Skills You Will Learn

Prompt Engineering Principles
Crafting Effective Prompts
Advanced Parameter Tuning for Prompts

Module 1: Introduction to Large Language Models

In this module, participants will be introduced to the world of Large Language Models, laying the foundation for understanding their architecture and functionalities.

Lessons:

Overview of Large Language Models.
Introduction to the OpenAI API.
Understanding the Significance of Large Language Models in AI.

Lab:

Hands-on session: Exploring various Large Language Models.
Interactive exercises: Working with the OpenAI API.

After completing this module, students will be able to:

Understand the basic concepts of Large Language Models.
Gain insights into the architecture and functionalities of various models.

Module 2: Guidelines for Prompting

This module will delve into the prompting world, offering participants a comprehensive understanding of their functionality and application.

Lessons:

Introduction to Guidelines for Prompting.
Exploring the Principles of Writing Clear and Specific Instructions.
Understanding Model Limitations: Hallucinations.

Lab:

Hands-on workshop: Working with effective prompting.
Interactive exercises: Identifying and mitigating model limitations.

After completing this module, students will be able to:

Understand the concept and application of effective prompting.
Gain hands-on experience with writing clear and specific instructions.

Module 3: Iterative Prompt Development

In this module, participants will learn the techniques for iterative prompt development and how to address various issues that may arise.

Lessons:

Introduction to Iterative Prompt Development.
Handling Issues: Text Length, Focus Details, and Table of Dimensions.

Lab:

Hands-on workshop: Developing and refining prompts iteratively.
Interactive exercises: Addressing issues in prompt development.

After completing this module, students will be able to:

Understand and apply iterative prompt development techniques.
Efficiently handle and resolve issues in prompt development.

Module 4: Summarizing Techniques

This module will explore various summarizing techniques, focusing on different aspects such as shipping, delivery, price, and value.

Lessons:

Techniques for Effective Text Summarization.
Summarization with a Focus on Specific Aspects.

Lab:

Hands-on session: Practicing summarization techniques.
Interactive exercises: Focusing summarization on specific aspects.

After completing this module, students will be able to:

Master various text summarization techniques.
Effectively summarize text with a focus on specific aspects.

Module 5: Inferring Topics

Participants will delve into the techniques for inferring topics and creating news alerts for certain topics in this module.

Lessons:

Introduction to Topic Inferring.
Creating News Alerts for Specific Topics.

Lab:

Hands-on workshop: Working with topic inferring.
Interactive exercises: Creating and customizing news alerts.

After completing this module, students will be able to:

Understand and apply topic inferring techniques.
Create customized news alerts for specific topics.

Module 6: Text Transformation

This module will cover various text transformation techniques including translation, tone transformation, and format conversion.

Lessons:

Exploring Various Text Transformation Techniques.
Deep Dive into Translation, Tone Transformation, and Format Conversion.

Lab:

Hands-on session: Practicing text transformation techniques.
Interactive exercises: Working with translation, tone transformation, and format conversion.

After completing this module, students will be able to:

Master various text transformation techniques.
Efficiently translate, transform tone, and convert formats of texts.

Module 7: Expanding Text

In this module, participants will learn techniques for effectively expanding text and customizing automated replies to customer emails.

Lessons:

Techniques for Effective Text Expansion.
Customizing Automated Replies to Customer Emails.

Lab:

Hands-on session: Practicing text expansion techniques.
Interactive exercises: Customizing automated email replies.

After completing this module, students will be able to:

Master various text expansion techniques.
Customize automated replies effectively.

Module 8: Exploring OpenAI Embeddings

In this module, participants will delve into the world of OpenAI embeddings, understanding their significance and application in various tasks.

Lessons:

Introduction to OpenAI Embeddings.
Understanding the Applications and Use Cases of OpenAI Embeddings.

Lab:

Hands-on session: Working with OpenAI Embeddings.
Interactive exercises: Experimenting with various embedding techniques.

After completing this module, students will be able to:

Understand the concept and application of OpenAI Embeddings.
Gain hands-on experience with OpenAI Embeddings.

Module 9: Function Calling in ChatGPT

This module will introduce participants to function calling in ChatGPT, enhancing their understanding and skills.

Lessons:

Overview of Function Calling in ChatGPT.
Practical Applications of Function Calling.

Lab:

Hands-on session: Exploring function calling in ChatGPT.
Interactive exercises: Implementing function calling in tasks.

After completing this module, students will be able to:

Understand the concept of function calling in ChatGPT.
Apply function calling effectively in various tasks.

Module 10: Exploring Custom Instructions in ChatGPT

Participants will explore custom instructions in ChatGPT in this module, gaining insights into their utilization for enhanced task performance.

Lessons:

Introduction to Custom Instructions in ChatGPT.
Utilizing Custom Instructions for Task Enhancement.

Lab:

Hands-on workshop: Working with custom instructions in ChatGPT.
Interactive exercises: Enhancing tasks using custom instructions.

After completing this module, students will be able to:

Understand the use of custom instructions in ChatGPT.
Effectively utilize custom instructions for various tasks.

Module 11: Fine-Tuning in ChatGPT

In this module, participants will delve into the world of fine-tuning in ChatGPT, enhancing their models for optimal performance.

Lessons:

Overview of Fine-Tuning in ChatGPT.
Techniques for Effective Fine-Tuning.

Lab:

Hands-on session: Practicing fine-tuning techniques in ChatGPT.
Interactive exercises: Enhancing model performance through fine-tuning.

After completing this module, students will be able to:

Understand the concept of fine-tuning in ChatGPT.
Apply effective fine-tuning techniques for optimal model performance.

Module 12: Exploring ChatGPT with JavaScript

In this module, participants will delve into the integration of ChatGPT using JavaScript. This module will enhance their skills in integrating ChatGPT into web projects and applications, ensuring seamless interaction and functionality.

Lessons:

Introduction to ChatGPT Integration in JavaScript.
Working with ChatGPT: Sending Requests and Handling Responses in JavaScript.
Best Practices for ChatGPT Integration in JavaScript.

Lab:

Hands-on session: Setting up and integrating ChatGPT in a JavaScript environment.
Interactive exercises: Crafting and sending requests to ChatGPT and handling the responses effectively in JavaScript.

After completing this module, students will be able to:

Successfully integrate ChatGPT into web projects using JavaScript.
Understand the intricacies of working with ChatGPT in a JavaScript environment.
Apply best practices for efficient and effective ChatGPT integration in JavaScript projects.

Module 13: Exploring the OpenAI Playground

Participants will explore the OpenAI Playground in this module to understand its features and benefits.

Lessons:

Overview of the OpenAI Playground.
Benefits and Features of Using the OpenAI Playground.

Lab:

Hands-on session: Navigating the OpenAI Playground.
Interactive exercises: Working with features of the OpenAI Playground.

After completing this module, students will be able to:

Understand the OpenAI Playground and its functionalities.
Effectively use the OpenAI Playground for various tasks.

Module 14: Understanding Data Privacy

This module will focus on the critical aspect of data privacy in working with ChatGPT and other language models.

Lessons:

Overview of Data Privacy Concerns in Language Models.
Best Practices for Ensuring Data Privacy.

Lab:

Interactive session: Discussing real-world scenarios and solutions for data privacy.
Hands-on exercises: Implementing data privacy best practices.

After completing this module, students will be able to:

Understand the importance of data privacy.
Implement best practices for ensuring data privacy in their projects.

Module 15: Exploring Chatbot Creation

In this module, participants will explore the process of creating a chatbot, focusing on the ChatGPT platform.

Lessons:

Overview of Chatbot Creation.
Steps and Best Practices in Creating a Chatbot with ChatGPT.

Lab:

Hands-on session: Building a basic chatbot using ChatGPT.
Interactive exercises: Experimenting with chatbot features and functionalities.

After completing this module, students will be able to:

Understand the process of chatbot creation.
Build a basic chatbot using ChatGPT.

Module 16: Advanced Chatbot Creation: OrderBot

This module will delve deeper into the chatbot creation, focusing on creating a specific type of chatbot - OrderBot.

Lessons:

Understanding Advanced Features of Chatbots.
Detailed Steps in Creating OrderBot.

Lab:

Hands-on workshop: Creating OrderBot with advanced features.
Interactive exercises: Working with OrderBot and understanding its advanced functionalities.

After completing this module, students will be able to:

Understand advanced features of chatbots.
Create and work with an advanced OrderBot.

Module 17: Conclusion and Future Exploration

This concluding module will summarize the key learnings from the course and discuss potential future explorations in the field of ChatGPT and prompt engineering.

Lessons:

Summary of Key Learnings from the Course.
Discussion on Future Explorations in ChatGPT and Prompt Engineering.

Lab:

Interactive session: Review and reflection on the course learnings.
Group discussions: Sharing insights and future aspirations in the field.

After completing this module, students will be able to:

Summarize the key learnings from the course.
Discuss potential future explorations in ChatGPT and prompt engineering.

COURSE Curriculum

Prompt Engineering Course curriculum in Benin

Download Curriculum

Topics

Generative AI Principles
Types of Generative Models
Applications of Generative Models
Machine Learning Algorithms with GenAI
Applications of Generative AI
Generative AI Advantages and Disadvantages
Ethical Considerations

Hands-on Projects

Implementing Generative AI Use Cases
Implementing Machine Learning with GenAI

Skills You Will Learn

Generative AI Fundamentals
Generative AI for Problem Solving
Ethical Insights into Generative AI

Topics

Natural Language Processing (NLP) Essentials
Text Classification
Text Preprocessing
Basic NLP Tasks
Deep Learning for NLP
Neural Networks
Backpropagation
RNN
LSTM
Deep Learning Applications in NLP

Hands-on Projects

Simple Text Classification Task
Implementing Core NLP Tasks
Working with Deep Learning for NLP

Skills You Will Learn

Text Classification
Text Pre-processing
Deep Learning Applications for NLP
Neural Network Architectures

Topics

Basic Autoencoders
Variational Autoencoders (VAEs)
Applications in Data Compression and Generation
Basic GAN Architecture
Training GANs
Variants of GANs
DCGAN
CycleGAN

Hands-on Projects

Working with GANs
Data Compression with Autoencoders
Training Variants of GANs

Skills You Will Learn

Working with Autoencoders and VAEs
GAN Architecture
GAN Training Techniques

Topics

Exploring Language Models
Types of Language Models
Applications of Language Models
The Transformer Architecture Attention Mechanism
Advanced Transformer Models
GPT
BERT
Applications of Transformer-based Models

Hands-on Projects

Working with GPT
Implementing BERT
Applying Advanced Transformer Models

Skills You Will Learn

Working with Language Models
Transformer Architectures
Implementing Transformer-based Models

Topics

Prompt Engineering Principles
What is Prompt Engineering?
Importance and Applications
Prompt Design Strategies
Types of Prompting
Crafting Effective Prompts
Parameter Tuning

Hands-on Projects

Designing Precise Prompts
Experimenting with Various Prompt Design Strategies
Advanced Parameter Tuning for Prompt Engineering

Skills You Will Learn

Prompt Engineering Principles
Crafting Effective Prompts
Advanced Parameter Tuning for Prompts

In this module, participants will be introduced to the world of Large Language Models, laying the foundation for understanding their architecture and functionalities.

Lessons:

Overview of Large Language Models.
Introduction to the OpenAI API.
Understanding the Significance of Large Language Models in AI.

Lab:

Hands-on session: Exploring various Large Language Models.
Interactive exercises: Working with the OpenAI API.

After completing this module, students will be able to:

Understand the basic concepts of Large Language Models.
Gain insights into the architecture and functionalities of various models.

This module will delve into the prompting world, offering participants a comprehensive understanding of their functionality and application.

Lessons:

Introduction to Guidelines for Prompting.
Exploring the Principles of Writing Clear and Specific Instructions.
Understanding Model Limitations: Hallucinations.

Lab:

Hands-on workshop: Working with effective prompting.
Interactive exercises: Identifying and mitigating model limitations.

After completing this module, students will be able to:

Understand the concept and application of effective prompting.
Gain hands-on experience with writing clear and specific instructions.

In this module, participants will learn the techniques for iterative prompt development and how to address various issues that may arise.

Lessons:

Introduction to Iterative Prompt Development.
Handling Issues: Text Length, Focus Details, and Table of Dimensions.

Lab:

Hands-on workshop: Developing and refining prompts iteratively.
Interactive exercises: Addressing issues in prompt development.

After completing this module, students will be able to:

Understand and apply iterative prompt development techniques.
Efficiently handle and resolve issues in prompt development.

This module will explore various summarizing techniques, focusing on different aspects such as shipping, delivery, price, and value.

Lessons:

Techniques for Effective Text Summarization.
Summarization with a Focus on Specific Aspects.

Lab:

Hands-on session: Practicing summarization techniques.
Interactive exercises: Focusing summarization on specific aspects.

After completing this module, students will be able to:

Master various text summarization techniques.
Effectively summarize text with a focus on specific aspects.

Participants will delve into the techniques for inferring topics and creating news alerts for certain topics in this module.

Lessons:

Introduction to Topic Inferring.
Creating News Alerts for Specific Topics.

Lab:

Hands-on workshop: Working with topic inferring.
Interactive exercises: Creating and customizing news alerts.

After completing this module, students will be able to:

Understand and apply topic inferring techniques.
Create customized news alerts for specific topics.

This module will cover various text transformation techniques including translation, tone transformation, and format conversion.

Lessons:

Exploring Various Text Transformation Techniques.
Deep Dive into Translation, Tone Transformation, and Format Conversion.

Lab:

Hands-on session: Practicing text transformation techniques.
Interactive exercises: Working with translation, tone transformation, and format conversion.

After completing this module, students will be able to:

Master various text transformation techniques.
Efficiently translate, transform tone, and convert formats of texts.

In this module, participants will learn techniques for effectively expanding text and customizing automated replies to customer emails.

Lessons:

Techniques for Effective Text Expansion.
Customizing Automated Replies to Customer Emails.

Lab:

Hands-on session: Practicing text expansion techniques.
Interactive exercises: Customizing automated email replies.

After completing this module, students will be able to:

Master various text expansion techniques.
Customize automated replies effectively.

In this module, participants will delve into the world of OpenAI embeddings, understanding their significance and application in various tasks.

Lessons:

Introduction to OpenAI Embeddings.
Understanding the Applications and Use Cases of OpenAI Embeddings.

Lab:

Hands-on session: Working with OpenAI Embeddings.
Interactive exercises: Experimenting with various embedding techniques.

After completing this module, students will be able to:

Understand the concept and application of OpenAI Embeddings.
Gain hands-on experience with OpenAI Embeddings.

This module will introduce participants to function calling in ChatGPT, enhancing their understanding and skills.

Lessons:

Overview of Function Calling in ChatGPT.
Practical Applications of Function Calling.

Lab:

Hands-on session: Exploring function calling in ChatGPT.
Interactive exercises: Implementing function calling in tasks.

After completing this module, students will be able to:

Understand the concept of function calling in ChatGPT.
Apply function calling effectively in various tasks.

Participants will explore custom instructions in ChatGPT in this module, gaining insights into their utilization for enhanced task performance.

Lessons:

Introduction to Custom Instructions in ChatGPT.
Utilizing Custom Instructions for Task Enhancement.

Lab:

Hands-on workshop: Working with custom instructions in ChatGPT.
Interactive exercises: Enhancing tasks using custom instructions.

After completing this module, students will be able to:

Understand the use of custom instructions in ChatGPT.
Effectively utilize custom instructions for various tasks.

In this module, participants will delve into the world of fine-tuning in ChatGPT, enhancing their models for optimal performance.

Lessons:

Overview of Fine-Tuning in ChatGPT.
Techniques for Effective Fine-Tuning.

Lab:

Hands-on session: Practicing fine-tuning techniques in ChatGPT.
Interactive exercises: Enhancing model performance through fine-tuning.

After completing this module, students will be able to:

Understand the concept of fine-tuning in ChatGPT.
Apply effective fine-tuning techniques for optimal model performance.

Lessons:

Introduction to ChatGPT Integration in JavaScript.
Working with ChatGPT: Sending Requests and Handling Responses in JavaScript.
Best Practices for ChatGPT Integration in JavaScript.

Lab:

Hands-on session: Setting up and integrating ChatGPT in a JavaScript environment.
Interactive exercises: Crafting and sending requests to ChatGPT and handling the responses effectively in JavaScript.

After completing this module, students will be able to:

Successfully integrate ChatGPT into web projects using JavaScript.
Understand the intricacies of working with ChatGPT in a JavaScript environment.
Apply best practices for efficient and effective ChatGPT integration in JavaScript projects.

Participants will explore the OpenAI Playground in this module to understand its features and benefits.

Lessons:

Overview of the OpenAI Playground.
Benefits and Features of Using the OpenAI Playground.

Lab:

Hands-on session: Navigating the OpenAI Playground.
Interactive exercises: Working with features of the OpenAI Playground.

After completing this module, students will be able to:

Understand the OpenAI Playground and its functionalities.
Effectively use the OpenAI Playground for various tasks.

This module will focus on the critical aspect of data privacy in working with ChatGPT and other language models.

Lessons:

Overview of Data Privacy Concerns in Language Models.
Best Practices for Ensuring Data Privacy.

Lab:

Interactive session: Discussing real-world scenarios and solutions for data privacy.
Hands-on exercises: Implementing data privacy best practices.

After completing this module, students will be able to:

Understand the importance of data privacy.
Implement best practices for ensuring data privacy in their projects.

In this module, participants will explore the process of creating a chatbot, focusing on the ChatGPT platform.

Lessons:

Overview of Chatbot Creation.
Steps and Best Practices in Creating a Chatbot with ChatGPT.

Lab:

Hands-on session: Building a basic chatbot using ChatGPT.
Interactive exercises: Experimenting with chatbot features and functionalities.

After completing this module, students will be able to:

Understand the process of chatbot creation.
Build a basic chatbot using ChatGPT.

This module will delve deeper into the chatbot creation, focusing on creating a specific type of chatbot - OrderBot.

Lessons:

Understanding Advanced Features of Chatbots.
Detailed Steps in Creating OrderBot.

Lab:

Hands-on workshop: Creating OrderBot with advanced features.
Interactive exercises: Working with OrderBot and understanding its advanced functionalities.

After completing this module, students will be able to:

Understand advanced features of chatbots.
Create and work with an advanced OrderBot.

This concluding module will summarize the key learnings from the course and discuss potential future explorations in the field of ChatGPT and prompt engineering.

Lessons:

Summary of Key Learnings from the Course.
Discussion on Future Explorations in ChatGPT and Prompt Engineering.

Lab:

Interactive session: Review and reflection on the course learnings.
Group discussions: Sharing insights and future aspirations in the field.

After completing this module, students will be able to:

Summarize the key learnings from the course.
Discuss potential future explorations in ChatGPT and prompt engineering.

Download Curriculum

Need More information?

Have more questions or need personalized guidance?

Contact Learning Advisor

What you will learn in this Prompt Engineering Course workshop

Learning Objectives

Prompt Engineering Principles

Master the foundational concepts of prompt engineering and their versatile applications across various LLM-driven solutions.

Crafting Effective Prompts

Acquire the skills to design prompts that yield precise and meaningful responses from large language models.

Advanced Parameter Tuning for Prompts

Delve into advanced techniques for fine-tuning parameters to optimize prompt effectiveness and achieve desired results.

LLM Scaling and Pre-training

Explore strategies for scaling and pre-training LLMs to improve their capabilities and efficiency.

LLM Application in NLP Tasks

Discover how to leverage LLMs effectively in various NLP tasks, including text generation, translation, and summarization.

Working with Amazon EC2 Inf2 Instances

Gain practical knowledge in utilizing Amazon EC2 Inf2 instances for seamless deployment and management of LLM solutions.

Document Management with Loading and Splitting

Learn effective methods for loading and splitting documents to efficiently manage large volumes of data in LLM applications.

Chatbot-Based Question and Answering

Develop expertise in building chatbot-based question-answering systems that offer automated and intelligent responses to user inquiries.

Programming with ChatGPT

Unleash the potential of ChatGPT in programming scenarios like code generation, assistance, and optimization.

ChatGPT for Code Debugging and Documentation

Utilize ChatGPT's capabilities to streamline code debugging processes and generate comprehensive code documentation.

Prompt Engineering Course Certification COURSE For Corporates

Why SimpliAxis Is The First Choice For Corporates?

Simpliaxis provides In person and live virtual instructor- led corporate training program customized for enterprise teams who wish to train their employees on specific aspects of their job processes or responsibilities. The corporate training by our expert certified trainers will enhance your learning curve and enable your teams to utilize their skills to meet the industry standards

The tool-based learning, guiding, tracking, and grading Customized curriculum as per the team's and company's needs.
Customized curriculum as per the team's and company's needs
A pool of consultants catering to the work experience across industries.
Flexibility in learning- Online, Offline, and Self paced learning
The global presence and can train the teams across the geographies.

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Our Prompt Engineering Course Trainers

Instructors

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Aakash Srinivasan, CST
Certified Scrum Master (CSM®), Certified Scrum Product Owner (CSPO®)
Aakash Srinivasan is an experienced Agile transformation leader and a co-founder of SimpliAxis Inc., an Agile training and coaching service company (www.simpliaxis.com) based in Seattle, Washington.
Experience: 15+ Years
Michel Goldenberg, CST
Certified Scrum Master (CSM®), Advanced Certified Scrum Master (ACSM®)...
Michel Started working with Agile in 2001 when he first used eXtreme Programming as a team member in a very complex project in Brazil, since that project Michel decided to focus his career in coaching and training in Agile. Some people like to call him a nomad because he is always working world wide and moving from country to country to always find the most challenging market so he can always improve in Agile by helping people learn and apply it. During his journey Michel became Certified Scrum Trainer (2009), a TAC member (2017) and Path to CSP educator (2019), and now his main focus is to deliver Certified Training under Scrum Alliance brand.
Experience: 21+ Years
Raj Kasturi, CST
CSM
Raj is an experienced Scrum Trainer, Scrum Master, Agile Coach helping organizations transition to Scrum
Experience: 28+ Years
Abid Quereshi, CST
Certified Scrum Master (CSM®), Advanced Certified Scrum Master (ACSM®)...
"Learn Scrum and Agile Software Development from an actual software developer. Abid has been developing real software products for over 26 years, from inception to design, coding, testing and maintaining legacy systems. Abid holds a Bachelor's degree in Education and a Bachelor's degree in Mechatronics Engineering. As a professional teacher and engineer you an count on an experience which is both immersive and relevant to todays workplace challenges."
Experience: 25+ Years
Vivek Angiras, CST
Certified Scrum Master (CSM®), Certified Scrum Product Owner (CSPO®)...
Vivek Angiras is an Agile coach and trainer. He is a Certified Scrum Trainer (CST) who started his career in scientific research more than a decade ago. Vivek is a co-founder of SimpliAxis Inc.
Experience: 15+ Years
Bill Li
CSM, CSPO and A-CSM
Bill Li, CST (Certified Scrum Trainer) and Agile Coach, based out in Shanghai & Vancouver, and active in China, Asia and Canada, Managing Principal of UPerform Consulting Group. With over 25 years of cross-functional experiences in IT and consulting sectors, Bill is among the pioneers who promoted Scrum and Agile since 2007 in Asia, and is active contributor and speaker at agile community, including major Scrum and Agile conferences. Bill enjoys developing people and organizations through high quality Scrum and Agile training, coaching and consulting services. His passion lies in helping clients’ product development organizations and teams to become more effective, having less waste and fewer impediments in their processes, less pressure, higher enjoyment, and producing better product and services, in an open, transparent, creative, and self-organized environment. Bill translated Agile Project Management with Scrum by Ken Schwaber into simplified Chinese and published it in 2007. He also co-translated Ken's next book on Scrum & Enterprise and Mike Cohn’s User Stories Applied, together with other 2 titles in Project Management area. Bill is MBA from Schulich School of Business, York University, and Bachelor of Engineering from South China University of Technology. He lives in Shanghai, China and seasonally in North Vancouver, BC, Canada.
Experience: 23+ Years

Aakash Srinivasan, CST
Certified Scrum Master (CSM®), Certified Scrum Product Owner (CSPO®)
15+ Years of experience
Aakash Srinivasan is an experienced Agile transformation leader and a co-founder of SimpliAxis Inc., an Agile training and coaching service company (www.simpliaxis.com) based in Seattle, Washington.
Linkedin Profile
1/6
Michel Goldenberg, CST
Certified Scrum Master (CSM®), Advanced Certified Scrum Master (ACSM®)
21+ Years of experience
Michel Started working with Agile in 2001 when he first used eXtreme Programming as a team member in a very complex project in Brazil, since that project Michel decided to focus his career in coaching and training in Agile. Some people like to call him a nomad because he is always working world wide and moving from country to country to always find the most challenging market so he can always improve in Agile by helping people learn and apply it. During his journey Michel became Certified Scrum Trainer (2009), a TAC member (2017) and Path to CSP educator (2019), and now his main focus is to deliver Certified Training under Scrum Alliance brand.
Linkedin Profile
2/6
Raj Kasturi, CST
CSM
28+ Years of experience
Raj is an experienced Scrum Trainer, Scrum Master, Agile Coach helping organizations transition to Scrum
Linkedin Profile
3/6
Abid Quereshi, CST
Certified Scrum Master (CSM®), Advanced Certified Scrum Master (ACSM®)
25+ Years of experience
"Learn Scrum and Agile Software Development from an actual software developer. Abid has been developing real software products for over 26 years, from inception to design, coding, testing and maintaining legacy systems. Abid holds a Bachelor's degree in Education and a Bachelor's degree in Mechatronics Engineering. As a professional teacher and engineer you an count on an experience which is both immersive and relevant to todays workplace challenges."
Linkedin Profile
4/6
Vivek Angiras, CST
Certified Scrum Master (CSM®), Certified Scrum Product Owner (CSPO®)
15+ Years of experience
Vivek Angiras is an Agile coach and trainer. He is a Certified Scrum Trainer (CST) who started his career in scientific research more than a decade ago. Vivek is a co-founder of SimpliAxis Inc.
Linkedin Profile
5/6
Bill Li
CSM, CSPO and A-CSM
23+ Years of experience
Bill Li, CST (Certified Scrum Trainer) and Agile Coach, based out in Shanghai & Vancouver, and active in China, Asia and Canada, Managing Principal of UPerform Consulting Group. With over 25 years of cross-functional experiences in IT and consulting sectors, Bill is among the pioneers who promoted Scrum and Agile since 2007 in Asia, and is active contributor and speaker at agile community, including major Scrum and Agile conferences. Bill enjoys developing people and organizations through high quality Scrum and Agile training, coaching and consulting services. His passion lies in helping clients’ product development organizations and teams to become more effective, having less waste and fewer impediments in their processes, less pressure, higher enjoyment, and producing better product and services, in an open, transparent, creative, and self-organized environment. Bill translated Agile Project Management with Scrum by Ken Schwaber into simplified Chinese and published it in 2007. He also co-translated Ken's next book on Scrum & Enterprise and Mike Cohn’s User Stories Applied, together with other 2 titles in Project Management area. Bill is MBA from Schulich School of Business, York University, and Bachelor of Engineering from South China University of Technology. He lives in Shanghai, China and seasonally in North Vancouver, BC, Canada.
Linkedin Profile
6/6

What job roles can you pursue after getting a Prompt Engineering certification?

With a Prompt Engineering certification, you can pursue roles like Prompt Engineer, NLP Engineer, Chatbot Developer, Data Scientist, AI Engineer, and even explore opportunities in content creation and social media influencing, showcasing your AI expertise.

What’s the benefit of a Prompt Engineering Certification Course?

Prompt Engineering certification validates your expertise, making you a more attractive candidate to employers seeking skilled AI professionals. It demonstrates your dedication to the field and opens doors to diverse career opportunities, leading to potential salary increases and career advancement.

Is coding required for Prompt Engineering?

While deep coding expertise isn't mandatory, a basic understanding of programming, especially Python, is highly beneficial. It aids in understanding language models, implementing prompts, and integrating AI into applications.

Can a beginner become a Prompt Engineer?

Yes, freshers can certainly become prompt engineers. While experience is valuable, a passion for learning, practical skills, and a basic understanding of AI are crucial. Starting with internships or entry-level roles can provide valuable experience.

Will Prompt Engineering be important in the future?

Absolutely, prompt engineering has a bright future. As AI and language models advance, the demand for skilled prompt engineers will increase. Their ability to craft effective inputs for optimal AI responses is vital across various industries, ensuring AI's full potential is realized.

Does Simpliaxis Provide a Prompt Engineering Course near me?

Yes, Simpliaxis offers the Prompt Engineering Course online, making it accessible from anywhere in the world. You can enroll and learn from the comfort of your home or any location with an internet connection.

What are Large Language Models?

Large Language Models (LLMs) are powerful AI models trained on massive datasets, enabling them to understand and generate human-like text. They excel in tasks such as content creation, chatbots, data analysis, and customer support.

What are the basic skills of a Prompt Engineer?

A Prompt Engineer, especially when working with generative AI, requires diverse skills including:

Understanding of AI Fundamentals
Programming Proficiency
Data Handling
NLP Expertise
Model Customization
Problem-Solving
Domain Knowledge
Ethical Considerations

These skills enable Prompt Engineers to effectively harness the power of AI models and generate desired outcomes.

Is it worth learning Prompt Engineering?

Yes, due to high demand, lucrative salaries (₹39L in India, $145K in the USA), and future-proof skills. Prompt Engineering is versatile, impactful, and accessible to learners of all backgrounds, making it a valuable investment for career growth in the expanding field of AI.

How much can a Prompt Engineer generally earn?

Prompt Engineer salaries in the USA typically range from $70,000 to $335,000 per year, with an average of around $145,000. Factors such as experience, location, company size, and specific skills can significantly impact the salary.

Does ChatGPT use Prompt Engineering?

Yes, Prompt Engineering is fundamental to effectively interacting with ChatGPT. It involves crafting clear and specific instructions or questions to guide the language model towards generating the desired responses, ensuring optimal utilization of its capabilities.

How will Prompt Engineering benefit your career?

Prompt Engineering empowers you to precisely tailor AI models for specific tasks. This valuable skillset is in high demand across various fields like content generation, data analysis, and automation, where customized AI solutions offer a significant competitive advantage.

How can I learn prompt engineering?

To learn prompt engineering, grasp fundamentals like LLMs and prompt design. Acquire Python programming, NLP, and machine learning skills. Practice with LLMs, work on real-world projects and contribute to open-source initiatives. Stay updated on research and engage with communities. Start with simple prompts, iterate, and be mindful of context and bias. Consider taking a structured course like Simpliaxis's offering, and explore books, articles, and online forums to deepen your understanding.

Who are the instructors for the Prompt Engineering Course Online?

All Simpliaxis instructors are industry practitioners with at least 10-12 years of relevant IT experience. They're subject matter experts who have also undergone Simpliaxis training to ensure an excellent learning experience for participants.

What is the Prompt Engineering Course syllabus?‎

The Prompt Engineering Course covers a comprehensive range of topics designed to equip you with the skills and knowledge to excel in this field:

Natural Language Processing (NLP)
Machine Learning
Deep Learning
Generative Models
AI Ethics and Bias
Language Models
Data Preprocessing and Feature Engineering:
Reinforcement Learning
Human-Computer Interaction
Automation and Scripting
Semantic Web and Linked Data
Industry Application

This comprehensive syllabus ensures you gain a deep understanding of prompt engineering principles and their practical applications, enabling you to leverage the full power of AI language models.

What kinds of jobs can you get with Prompt Engineering skills?

Prompt engineering skills can open doors to various exciting career paths, including:

Machine Learning Engineer
Data Scientist
Natural Language Processing (NLP) Engineer
AI Research Scientist
Software Engineer (AI/ML)
Data Engineer
Conversational AI Developer
AI Product Manager
AI Ethicist

Prompt engineering is a valuable skill set that can be applied across a wide range of industries and domains. With the continued advancement of AI technology, the demand for professionals with prompt engineering expertise is expected to grow significantly in the coming years.

How will I execute the practicals in this Prompt Engineering Course Online?

You will use Python, VS Code, and Jupyter Notebook for hands-on practice. The Learning Management System (LMS) provides comprehensive installation instructions. If you encounter any issues, our 24/7 support team is readily available to help.

How much does the Prompt Engineering Course cost?

The Prompt Engineering Course is priced at INR 18,999.

What do you need to know before taking this Prompt Engineering course?

There are no strict prerequisites, making this course accessible to all. However, a basic understanding of Python programming, problem-solving skills, and fundamental machine-learning concepts will enhance your learning experience.

Who is this Prompt Engineering Course for?

This course is designed for:

AI professionals seeking to refine their prompt engineering skills.
Developers aiming to enhance AI integration in their applications.
Data scientists looking to optimize AI model performance.
Business professionals interested in leveraging AI for strategic advantage.
Anyone curious about exploring the possibilities of AI communication.

What are the benefits of enrolling in the Online Prompt Engineering Course?

This course provides a structured learning path to master AI model customization. You'll acquire the expertise to effectively craft prompts, unlocking the full potential of AI technology for your unique projects and goals.

What skills and knowledge will you gain from completing this Prompt Engineering Course?

The learning outcomes of this Prompt Engineering Course online are as follows:

Prompt Engineering
Leveraging Generative AI
Large Language Models
LLM Application Development
Working with ChatGPT
Working with Popular GenAI Tools

What is Prompt Engineering?‎

Prompt engineering is the art of crafting clear and specific instructions (prompts) for AI models to get the best possible responses. It involves careful wording, providing context, and using examples to guide the AI's understanding and output. It's like giving detailed directions to ensure the AI understands and fulfils your request effectively.

Should I enrol in the ChatGPT Prompt Engineering Course?

Yes, the course is suitable for professionals or developers willing to excel in their career. Acquire skills required to use ChatGPT for code generation, data science workflow, boosting productivity, debugging, and development of websites. Enrol in the course today to stand out in the competitive tech landscape.

Are there any prerequisites for the course?

No, this course doesn’t have any strict prerequisites. However, having a basic knowledge of Python Programming coupled with problem solving skills is beneficial.

Who should register for this ChatGPT Prompt Engineering Course?

The course is a right fit for the following individuals:

Developers
AI professionals
Business professionals
Anyone eager to learn AI
Data scientists

Is it possible to attend the course without any geographical barriers?

Yes, you can attend the instructor-led, virtual training remotely, from the comfort of your home.

Are there any system requirements for attending this program?

Yes, you must have a desktop or laptop with an Intel Core-i3 processor accompanied by 8 GB RAM. This helps you run machine learning and NLP models seamlessly. A high-speed internet connection is also required to access videos, software, and online course materials.

What are the benefits of learning Generative AI?

Earlier, it was impossible for machines to replicate human responses or behavior. Generative AI is successful in putting an end to it. The use of Generative AI in the competitive world can boost productivity, enhance operations and consistency.

What is Generative AI?

Generative AI aims to understand similar structures and patterns of data. This branch of AI leverages these patterns to generate more data.

What do you understand by ‘Prompt Engineering’?

Prompt Engineering is the technique of writing clear and concise prompts. Next, this input is entered into Large Language Models to generate high-quality outputs.

What are the roles and responsibilities of a Prompt Engineer?

A Prompt Engineer is responsible for generating desired outputs with the help of Generative AI tools. It is done by leveraging prompt engineering techniques.

Can I polish my practical skills through this ChatGPT Prompt Engineering course?

Yes, you will get an opportunity to leverage the practical skills taught during this course. You can implement them with the help of VS Code, Jupyter Notebook, & Python.

What are the benefits of enrolling in this training program?

This course imparts an in-depth understanding of ChatGPT algorithms and their applications in real-world scenarios. It is an excellent options for professionals who are willing to implement ChatGPT to come up with iT solutions. Individuals can learn how to input effective prompts to get the desired output.

What is the duration of the ChatGPT Prompt Engineering for Developers training course?

The course lasts for up to 24 hours.

Are there assessments in the ChatGPT Prompt Engineering for Developers course?

Yes, the candidates have to complete assessments after completing each module. It helps to gauge their level of understanding.

Is there a preferred currency for payment, especially for international students?

While we accept payments in various currencies, we recommend using the currency from where you want to attend the course.

Can payments be made online through your website, or do I need to visit a physical location?

Payments can be made conveniently through our secure online payment portal on our website. We do not require visiting a physical location for payment.

Do you offer any discounts or promotions for early payment?

Yes, we offer discounts and promotions for early payments or certain corporate Training. Keep an eye on our website or contact us to get exciting offers.

Can I pay for the course in installments, or is full payment required upfront?

You have the flexibility to pay for the course either in full upfront or in installments, depending on your preference. To know more details about it contact us.

Will I get a refund if I cancel my enrollment?

No, refund is not possible. You can reschedule your course. To know more about refunds, visit our Refund Policy.

Where will I get my payment receipt?

Upon successful completion of payment, you will receive a confirmation email of your payment along with payment invoices.

Is there any transaction or processing fee?

No, there is no transaction processing fee.

What cards do you accept?

We accept payments from VISA, Master, Maestro, AMEX, and Discover.

What payment options are available?

All types of payment methods are available. You can pay Online through Credit Cards, Debit Cards and Net Banking, Direct Bank Transfer/Wire Transfer/Wallet to our account and many more.Other payment options available are stripe, Splitit, PayPal for US & CA regions.

What if I miss a class? Are there any money back options?

No, you won't get your money back. But, as per your convenience, we can reschedule your training without any extra charges.

If I want to know more about Training, whom should I connect with?

If you want to know more about the course you can connect us in mail hello@simpliaxis.com or you can call us.

Is there any option to complete the Training in the native language if a participant chooses to?

English is the preferred language for training delivery. For corporate Training, any language other than English will have to be requested as a custom service. However, this will be subject to additional costs and the availability of a native language trainer. Please note that only official languages will be considered for this request.

Can I receive personalized Training at my convenience?

Yes, we’ll be posting multiple schedules every week for all the courses. Based on your convenience, you can select the training schedule. Also, we’ve E-Learning programs for popular courses, you can enroll and watch the training modules whenever you want.

Where do I find the upcoming schedules of my course?

Select the course of your interest from the website and view all the upcoming workshop schedules. You can select your course from the website https://www.simpliaxis.com/

After enrollment, can I change the date of my training class?

Yes, you can change the date, but you have to inform it 3-4 days before the Scheduled date.

Do I get any certificate upon completion of the course?

Yes, you will receive a certificate after successful completion of the training course.

How do I enroll in the training course?

Choose the course of your interest, schedule it at your convenience from our upcoming schedule list, and register for the training by submitting your details. Proceed to make a payment and you will receive a confirmation email of your course enrolment. Or you can connect our career advisors to consult & choose your course.

What are the different courses offered by Simpliaxis?

At Simpliaxis we provide training for courses of all the in-demand technologies. One can choose a course from Project Management, Agile, IT, DevOps, Business, IT Service Management, Quality Management, etc based on their choice of interest. To know more, please visit https://www.simpliaxis.com/

What are the different modes of Training available for Simpliaxis courses?

We provide different modes of Training: virtual Online Training, Live Virtual Training, Corporate Training & also E-learning.

Do you offer online Training?

Yes, For every course, online Training is available.

Do you offer corporate Training?

Yes, we do provide corporate Training. We customize Training based on our clients' needs.

Who are the instructors of my course?

All our trainers are highly qualified and certified, having numerous years of experience in the training industry. You can choose your instructors for your course.

Is there any discount available for the Simpliaxis courses?

Yes, we do provide discounts on multiple courses. Please visit the schedules page to view the available discounts.

Whom do I contact if I have more queries regarding my course?

You can reach out to our experienced career counselor
or email us on support@simpliaxis.com
or contact any of our phone numbers
or you can chat with us anytime
or visit our contact us page https://www.simpliaxis.com/contact-us

Are your courses affordable?

Yes, course fees for all technologies are affordable. Along with that, we do provide discounts on various courses.

Why should I choose Simpliaxis?

Simpliaxis offers personalized corporate training programs designed for enterprise teams seeking to refine their employees' skills in various job processes or roles, whether through in-person sessions or live virtual instruction. Led by our skilled and certified trainers, these certification programs not only elevate learning curves but also empower teams to effectively apply their newfound skills to meet industry benchmarks. With over 40 certification programs available, the impact is profound, evident in a remarkable 45% improvement in employee retention rates. On average, there's been a notable 30% enhancement in both work satisfaction and capabilities, showcasing the tangible benefits of our training initiatives.

What is the object of Simpliaxis?

To provide high-quality training and help our professional participants & clients to build a high-performing workforce.

How much discount will I get if I enroll for the Training?

It totally depends upon the course. Please check our website regularly for new offers and discounts throughout the year. You can also chat with one of our career consultants to see if any discounts are available.

Prompt Engineering Course Course FAQs

Prompt Engineering Course FAQs

A Prompt Engineer, especially when working with generative AI, requires diverse skills including:

Understanding of AI Fundamentals
Programming Proficiency
Data Handling
NLP Expertise
Model Customization
Problem-Solving
Domain Knowledge
Ethical Considerations

These skills enable Prompt Engineers to effectively harness the power of AI models and generate desired outcomes.

The Prompt Engineering Course covers a comprehensive range of topics designed to equip you with the skills and knowledge to excel in this field:

Natural Language Processing (NLP)
Machine Learning
Deep Learning
Generative Models
AI Ethics and Bias
Language Models
Data Preprocessing and Feature Engineering:
Reinforcement Learning
Human-Computer Interaction
Automation and Scripting
Semantic Web and Linked Data
Industry Application

This comprehensive syllabus ensures you gain a deep understanding of prompt engineering principles and their practical applications, enabling you to leverage the full power of AI language models.

Prompt engineering skills can open doors to various exciting career paths, including:

Machine Learning Engineer
Data Scientist
Natural Language Processing (NLP) Engineer
AI Research Scientist
Software Engineer (AI/ML)
Data Engineer
Conversational AI Developer
AI Product Manager
AI Ethicist

The Prompt Engineering Course is priced at INR 18,999.

This course is designed for:

AI professionals seeking to refine their prompt engineering skills.
Developers aiming to enhance AI integration in their applications.
Data scientists looking to optimize AI model performance.
Business professionals interested in leveraging AI for strategic advantage.
Anyone curious about exploring the possibilities of AI communication.

The learning outcomes of this Prompt Engineering Course online are as follows:

Prompt Engineering
Leveraging Generative AI
Large Language Models
LLM Application Development
Working with ChatGPT
Working with Popular GenAI Tools

No, this course doesn’t have any strict prerequisites. However, having a basic knowledge of Python Programming coupled with problem solving skills is beneficial.

The course is a right fit for the following individuals:

Developers
AI professionals
Business professionals
Anyone eager to learn AI
Data scientists

Yes, you can attend the instructor-led, virtual training remotely, from the comfort of your home.

Generative AI aims to understand similar structures and patterns of data. This branch of AI leverages these patterns to generate more data.

Prompt Engineering is the technique of writing clear and concise prompts. Next, this input is entered into Large Language Models to generate high-quality outputs.

A Prompt Engineer is responsible for generating desired outputs with the help of Generative AI tools. It is done by leveraging prompt engineering techniques.

Yes, you will get an opportunity to leverage the practical skills taught during this course. You can implement them with the help of VS Code, Jupyter Notebook, & Python.

The course lasts for up to 24 hours.

Yes, the candidates have to complete assessments after completing each module. It helps to gauge their level of understanding.

While we accept payments in various currencies, we recommend using the currency from where you want to attend the course.

Payments can be made conveniently through our secure online payment portal on our website. We do not require visiting a physical location for payment.

Yes, we offer discounts and promotions for early payments or certain corporate Training. Keep an eye on our website or contact us to get exciting offers.

You have the flexibility to pay for the course either in full upfront or in installments, depending on your preference. To know more details about it contact us.

No, refund is not possible. You can reschedule your course. To know more about refunds, visit our Refund Policy.

Upon successful completion of payment, you will receive a confirmation email of your payment along with payment invoices.

No, there is no transaction processing fee.

We accept payments from VISA, Master, Maestro, AMEX, and Discover.

No, you won't get your money back. But, as per your convenience, we can reschedule your training without any extra charges.

If you want to know more about the course you can connect us in mail hello@simpliaxis.com or you can call us.

Select the course of your interest from the website and view all the upcoming workshop schedules. You can select your course from the website https://www.simpliaxis.com/

Yes, you can change the date, but you have to inform it 3-4 days before the Scheduled date.

Yes, you will receive a certificate after successful completion of the training course.

We provide different modes of Training: virtual Online Training, Live Virtual Training, Corporate Training & also E-learning.

Yes, For every course, online Training is available.

Yes, we do provide corporate Training. We customize Training based on our clients' needs.

All our trainers are highly qualified and certified, having numerous years of experience in the training industry. You can choose your instructors for your course.

Yes, we do provide discounts on multiple courses. Please visit the schedules page to view the available discounts.

Yes, course fees for all technologies are affordable. Along with that, we do provide discounts on various courses.

To provide high-quality training and help our professional participants & clients to build a high-performing workforce.

Find out why 1,000+ professionals love SimpliAxis

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I wanted to take a moment to express my sincerest gratitude for your invaluable assistance throughout my journey to complete the Prince2 certification via Simpliaxis Institute.Your support and guidance have truly made a significant difference in my learning experience, and I am deeply appreciative of your efforts. Your patience and dedication have not gone unnoticed, and I am incredibly grateful for your unwavering support. Please accept my heartfelt thanks once again for your generosity and commitment to my success. I am truly fortunate to have had the opportunity to work with someone as supportive as you.
Francis P J
Project Engineer
Kinly
I am thrilled to get certified as a Scrum Product Owner. This training and certification were great to sharpen my skills as a Product Manager and better understanding of how to set a product vision, personas, product roadmap, release planning, backlog refinement, and other Agile and Scrum concepts and techniques.#agile #scrum #planning #cspo #productmanagement #projectmanagement #scrumalliance
Klaus Chen
NOBAL Technologies Inc
Technology Manager
I am excited to share that I am now a Certified Scrum Master. I'd like to say a big thank you to Mário Melo for the intensive 3-day classes on the scrum framework, its use cases and linkage with the Agile methodology values and principles.#scrum #agile #agileprojectmanagement #agilesoftwaredevelopment
Adegbemi Onakoya
Project Manager
KPMG Nigeria
The more you know, the further you can go!Proud to share a happy milestone in my life. I am now a Certified Scrum Product Owner® (CSPO®)
Miad Khezri
Product Owner
The Dufresne Group
Proud to share that I am now officially a Certified ScrumMaster® (CSM®) #csm #certifiedscrummaster .Thank you Manjit Singh and SimpliAxis for the excellent course. Thank you Scrum Alliance.
Rutu Shah
Senior QA Analyst/QA Lead
Tech Mahindra
Happy to share my Certified Scrum Product Owner® certification from SCRUM ALLIANCE®.Big thanks to Aakash Srinivasan for the Informative and Interesting Workshop.Thank you KDR Technology Solutions for the support.
Robin James
Systems Analyst
Department of Mines, Industry Regulation and Safety, Western Australia

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Disclaimer : Certified Scrum Master(CSM®),Advanced Certified Scrum Master(A-CSM®), Certified Scrum Professional ScrumMaster(CSP-SM®), Certified Scrum Product Owner (CSPO®), Advanced Certified Scrum Product Owner (A-CSPO®), Certified Scrum Professional Product Owner(CSP-PO®), Certified Scrum Developer (CSD®), Certified Scrum Professional(CSP®), Certified Agile Leadership(CAL-I®,CAL-II®), Scrum Education Units(SEU®),Certified Scrum Trainer (CST®),Certified Enterprise Coach(CEC®), and Certified Team Coach(CTC®), are registered trademarks of Scrum Alliance®. SimpliAxis INC is a Registered Education Provider (REP) of Scrum Alliance®.

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Certified Business Analysis Professional (CBAP®), Certification of Capability in Business Analysis(CCBA®), Entry Certificate in Business Analysis(ECBA®), Agile Analysis Certification(AAC®), Certification in Business Data Analytics(CBDA®), Certificate in Cybersecurity Analysis(CCA®), Certificate in Product Ownership Analysis(CPOA®) are registered trademarks of International Institute of Business Analysis(IIBA®). SimpliAxis INC is an Premier Level Endorsed Education Provider of IIBA®.

SAFe Agilist Certification (SA®), SAFe Program Consultant Certification (SPC®),SAFe Program Consultant Trainer Certification (SPCT®),SAFe Practitioner Certification(SP®),SAFe Release Train Engineer Certification (RTE®),SAFe Scrum Master Certification (SSM®),SAFe Advanced Scrum Master Certification (SASM®),SAFe DevOps Practitioner Certification(SDP®),Agile Product Manager Certification (APM®),Lean Portfolio Manager Certification (LPM®),Product Owner / Product Manager Certification (POPM®),SAFe Architect Certification (ARCH®),Agile Software Engineer Certification (ASE®) and SAFe Government Practitioner Certification (SGP®), Scaled Agile Framework® and SAFe® are registered trademarks of Scaled Agile, Inc.®. SimpliAxis INC is a Silver Partner of Scaled Agile, Inc®.

DevOps Foundation®, DevOps Leader®, SRE Foundation℠, SRE Practitioner℠, DevSecOps Foundation℠, Continuous Testing Foundation℠, Certified Agile Service Manager®, Continuous Delivery Ecosystem Foundation℠ and Value Stream Management Foundation® are registered trademarks of DevOps Institute. SimpliAxis INC is a Registered Education Partner (REP) of the DevOps Institute (DOI) ®.

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