Production Grade AI Applications & SDLC Automation Workshop

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Production Grade AI Applications & SDLC Automation Workshop

Production Grade AI Applications & SDLC Automation with OpenAI Technologies Workshop

Build Production-Ready AI Apps & Automate Software Workflows

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Build Enterprise-ready AI Applications using OpenAI Technologies and Modern AI Engineering Practices.
Learn Agentic AI Engineering with OpenAI Technologies to Design Intelligent AI-powered Workflows.
Develop AI Agents, Automate SDLC Processes, and Accelerate Software Delivery.
Work with LLMs, Multimodal AI, Reasoning models, RAG, and AI Automation Frameworks.
Gain Hands-On Experience with OpenAI APIs, Agent SDK, and AI Development Tools.
Create Scalable, Secure, and Production-grade AI Solutions for Real-world Use Cases.

Our Key to Exam and Career Success

Guaranteed to Run Workshops

Expert-Led Study Sessions

Networking Opportunities

Flexible Monthly Payment Plans

Real-World Case Studies

Hands-On Project Experience

Group/Corporate Training

Empower teams through training

skill up your team

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Course overview Benefits Prerequisites Curriculum FAQs Contact Course Advisor

Course Overview

Production Grade AI Applications & SDLC Automation with OpenAI Technologies Workshop Overview

The Production Grade AI Apps and SDLC Automation with OpenAI technologies workshop is an intensive program designed for technical professionals who want to build and deploy production-grade AI applications using OpenAI's technology stack. Participants who attend this improve their expertise on the complete AI application lifecycle that includes understanding how large language models work at a foundational level and engineering robust systems using the OpenAI API, Assistants API, GPT-4o, embeddings, and function calling.

The workshop also includes critical architectural patterns, including Retrieval-Augmented Generation (RAG), AI agent development, and a dedicated focus on using AI to automate the software development lifecycle. Alongside the workshop, the real-world implementation labs help participants develop concepts, technical depth, and architectural thinking to build AI systems that work efficiently and reliably in large-scale environments.

What is Production Grade AI Applications & SDLC Automation with OpenAI Technologies Workshop?

The AI Agent Development & SDLC Automation with OpenAI Technologies workshop is a structured and practical program. This teaches software professionals the way to design, build, and ship intelligent AI-powered applications and automated engineering workflows using OpenAI technologies. The workshop minimizes the gap between AI experimentation and production reality by including everything from prompt engineering and LLM fundamentals to RAG pipelines, autonomous AI agents, and multi-agent systems.

Participants also develop skills in the ways to integrate AI directly into the software development lifecycle and automate tasks like code generation, testing, code review, and documentation. This Agentic AI Engineering with OpenAI Technologies workshop also focuses on real implementation by using actual OpenAI APIs, vector databases, agent frameworks, and deployment patterns.

What is Included in the Production Grade AI Applications & SDLC Automation with OpenAI Technologies Workshop?

The Agentic AI Engineering with OpenAI technologies workshop is a complete learning experience that helps participants to go from conceptual clarity to production with confidence. Here are the following that you receive when you join our workshop on production-grade AI applications and SDLC automation with OpenAI technologies.

Hands-on training on Generative AI, LLMs, and OpenAI Technologies
Practical understanding of AI Agent Development & SDLC Automation with OpenAI technologies.
45 hours of live instructor-led sessions with real-world AI use cases and demonstrations.
Deep dive into Prompt Engineering, Context Engineering, and advanced LLM techniques.
Practical implementation of RAG applications, embeddings, vector databases, and knowledge systems.
Guided labs for developing AI applications, RAG solutions, and Agentic AI systems

What are the Skills Covered in Our Production Grade AI Applications & SDLC Automation with OpenAI Technologies Workshop?

By the end of the workshop, participants will gain the following practical skills to develop intelligent AI applications, automate software workflows, and implement AI-driven solutions at scale:

API Integration
Retrieval-Augmented Generation (RAG)
Prompt Engineering
Agent Orchestration
Tool Calling
Memory Management
Task Automation
Continuous Validation
Human-in-the-Loop
Performance Tuning
MLOps & CI/CD

What are the Modes of Our Agentic AI Engineering with OpenAI Technologies Workshop?

The AI Agent Development & SDLC Automation with OpenAI Technologies Workshop, conducted by Simpliaxis, is tailored with flexible learning options. This allows participants to develop practical AI skills through an engaging and industry-focused training experience. Here are the modes of workshop sessions:

Online Live Workshop: Interactive instructor-led sessions with live demonstrations, hands-on exercises, AI implementation walkthroughs, and real-time guidance from industry experts.
Corporate Workshop: Customized training programs for corporate teams who want to adopt Agentic AI Engineering with OpenAI Technologies and build AI-driven solutions tailored to business needs.

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Production Grade AI Applications & SDLC Automation with OpenAI Technologies Training Highlights

What are the Key Highlights of the Production Grade AI Applications and SDLC Automation with OpenAI Technologies Workshop?

The workshop focuses on helping participants understand, build, and deploy AI-powered applications that resolve the challenges of real-world business and software engineering. The key highlights of the workshop include:

45 Hours of Comprehensive Sessions

Practical exposure to AI Agent Development & Agentic AI workflows

Hands-on experience building RAG applications and AI-powered knowledge systems

AI automation strategies for modern Software Development Life Cycle (SDLC) workflows

Prompt Engineering, Context Engineering, embeddings, and vector databases

Intelligent AI Agents using OpenAI Agents SDK and AI frameworks

Multi-agent systems, tool calling, MCP, and AI integrations

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Career upliftment

What are the Reasons to Attend the Production Grade AI Applications and SDLC Automation with OpenAI Technologies Workshop?

What are the Learning Outcomes of the AI Agent Development & SDLC Automation with OpenAI Technologies Workshop?

By the end of the workshop, participants will be able to

Develop an AI-first mindset and identify opportunities where AI can drive business transformation and operational efficiency.
Identify AI use cases across industries and functions by analyzing workflows, processes, and repetitive tasks suitable for automation
Evaluate and select the right AI approaches, including LLMs, RAG, and AI agents, based on specific business requirements.
Design and build production-grade AI agents and Agentic AI applications using OpenAI technologies and modern AI frameworks.
Develop RAG-based AI applications using OpenAI LLMs, embeddings, vector databases, and knowledge retrieval techniques.
Automate software development workflows through AI Agent Development & SDLC Automation with OpenAI technologies.

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Benefits focused on Individuals and corporate

What are the Benefits of the production-grade AI Applications and SDLC Automation with OpenAI Technologies Workshop?

Individuals Benefits

Build Future-Ready AI Engineering Skills: Professionals who attend the workshop develop practical knowledge of generative AI, LLMs, AI agents, and OpenAI technologies to stay ahead in the rapidly evolving AI landscape.
Master AI Agent Development: Participants learn the ways to design and develop intelligent AI agents using Agentic AI Engineering with OpenAI Technologies for real-world business and automation use cases.
Develop Production-Ready AI Applications: The workshop helps individuals to acquirehands-on skills to build scalable AI applications using LLMs, RAG, embeddings & other modern AI development frameworks.
Enhance Software Development Productivity: Participants understand how AI transforms SDLC processes by automating coding, testing, debugging, documentation, and repetitive engineering tasks.
Advance Career Opportunities in AI: Professionals developin-demand skills in AI application development, AI automation, and Agentic AI workflows to accelerate career growth in AI-driven roles.

Corporate Benefits

Accelerated AI Transformation: Enterprises build AI capabilities across teams by adopting generative AI, OpenAI technologies, and AI agent solutions to drive digital transformation and innovation.
Automated Business Workflows: Professionals who attend the workshop help businesses to utilizeAI agents and SDLC automation for streamlining repetitive processes, improving efficiency, and reducing manual effort across business functions.
AI-Ready Teams: Businesses upskill their teams with practical skills in AI application development, LLMs, RAG, and Agentic AI Engineering to support future technology initiatives.
Improved Efficiency in Software Development: Professionals help organizations tointegrate AI with software engineering practices and optimize coding, testing, debugging, documentation, and overall development lifecycle processes.
Scalable AI Solutions: Enterprise teams design secure, reliable, and production-ready AI applications aligned with business goals and operational requirements.

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Common attendees

Who usually attend Production Grade AI Applications & SDLC Automation with OpenAI Technologies Training

Software Engineers
Software Developers
Data Scientists
Machine Learning Engineers
Automation Architects
Solutions Architects
Technical Product Managers
Entrepreneurs & Tech Founders

Prerequisites for Production Grade AI Applications & SDLC Automation with OpenAI Technologies certification training

What are the Prerequisites of the Agentic AI Engineering with OpenAI Technologies Workshop?

Participants who want to attend Agentic AI engineering with OpenAI technologies should have the following knowledge and experience:

Basic awareness of Generative AI and Large Language Models (LLMs)
Hands-on familiarity with AI-powered tools such as ChatGPT and Google Gemini, and a basic understanding of prompt engineering.

Basic awareness or hands-on exposure to Python, but no need to be proficient developers. A familiarity with this helps in reading and understanding scripts effectively.
Working experience with at least one cloud platform such as AWS, GCP, or Azure

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Curriculum

Module 1: Artificial General Intelligence (AGI)/Generative AI (GenAI) with Foundation Models (FMs) (4 hours)

Refresher: Artificial Intelligence and Machine Learning
Natural Language Processing - Foundations of modern Generative AI
Artificial General Intelligence (AGI) vs Classic ML
Pre-trained LLMs (Large Language models) & Multimodal LLMs - Basics
How LLMs are developed
Prominent open-source and proprietary LLMs
Reasoning models
OpenAI Models: GPT-5.2, GPT-OSS
Lab 1- Working with Embedding models
Framework for applying AI to business use cases
AI use cases across Industries & Business Functions

Module 2: Working with OpenAI Models (8 Hours)

Ways of working with LLMs/SLMs (Small Language models)
Prompt Engineering/ Prompting LLMs
Metaprompting with examples
Vibe Coding
Lab 2: Advanced Prompt Engineering
Lab 3: Vibe Coding for building software apps without coding using OpenAI models and tools
Context Engineering vs Prompt Engineering
Finetuning LLMs and Finetuning vs Context Engineering
Lab 4: Context Engineering
Demo: OpenAI APIs: Responses API, Realtime API, Assistants API, Batch API
Lab 5: Working with OpenAI APIs
Retrieval Augmented Generation (RAG) for knowledge/information querying/availability (static & dynamic, real-time)
AI Agents with examples
OpenAI Agents SDK—Overview & demo
Lab 6: Working with OpenAI Agents SDK
Overview of agent skills to build specialized agents.
Demo: General AI Agent (Manus AI)
Reasoning in AI Agents and use of Reasoning models
OpenAI model pricing and cost optimization

Module 3: Deep Dive: Retrieval Augmented Generation (RAG) (8 Hours)

Data pipeline for RAG
Demo/Code walkthrough—Naïve RAG with OpenAI LLMs
Breakout Room Activity: Understanding the code/flow of an E2E RAG pipeline with OpenAI
Business use cases of RAG Apps across Industries and Horizontals/ Functions, including Vertical AI Agents
Chunking Strategies
Creating Vector embeddings and storing in Vector database, with examples
Retrieval Mechanics & similarity/vector search techniques
Langchain, Llamaindex, and coding frameworks for RAG Development
Techniques for improving RAG accuracy: Reranking, chunk optimization, others
Langflow for low-code, no-code visual modeling-based RAG development
Advanced RAG techniques: Agentic RAG, GraphRAG
Demo: Code walkthrough of a RAG App
Lab 6: Build a multi-agent app with OpenAI Agent Builder
Lab 7: Building RAG App with Python-Based Coding Framework

Module 4 Deep Dive: AI Agents/Agentic AI with OpenAI (8 Hours)

AI Agent Architectures and how to select SLM / LLM for agents
Open Agent SDK
Architectures & demos - Design patterns of AI Agentic workflows:
Reflection, Tool use / Function calling, Planning, Multi-agent collaboration
Business use cases of AI Agents across Industries and Horizontals / Functions including Vertical AI Agents
Technical use cases of AI Agents (in SDLC automation)
Step-by-step - Designing an AI Agent (with examples)
Agentic Memory - Long term, short-term with demos
OpenAI computer control and agents controlling browser, keystrokes and mouse clicks using Computer Use and Operator
AI Agent / Agentic AI Pricing models & how they are disruptive to existing SaaS models
Breakout Room Activity: Building use case and specs for an AI Agent
Lab 8: Building analytics dashboards with graphs and charts using OpenAI agents and tools
Overview - OpenAI Agent Builder and Chatkit
Demo - Building agents with OpenAI Agent Builder and Chatkit
Lab 9: Building Multi-agent system with OpenAI Agent Builder
Technical architectures for AI Agent development - General and on AWS / GCP / Azure
Model Context Protocol (MCP), MCP Server, Host & Client
Connecting Agents with 3rd party apps using MCP Servers
Demo - Setting up MCP Servers on Cline and GitHub Copilot in VSCode
Demo - Working with MCP Servers from Zapier, Composio, Azure
MCP Server Security
Agentic coding with OpenAI Codex and o-series models
Getting website data using MCP-B and llms.txt
Real-time web data access with tools like Tavily, Serper, etc.
Lab 10 - Building AI Agent with Tool use / Function calling and MCP Server integration

Module 5: Building Product Grade AI Agents (14 Hours)

Introduction to LangGraph for building AI Agents
Demo - Building AI Agent with LangGraph
Lab 11 - Building AI Agent with LangGraph
Introduction to Microsoft AutoGen for building AI Agents
Demo - Building AI Agent with AutoGen
Lab 12 - Building AI Agent with AutoGen
Introduction to Google Agent Development Kit for building AI Agents
Demo - Building AI Agent with Google Agent Development Kit
Lab 13 - Building AI Agent with Google Agent Development Kit
Demo - Building AI Agent with Langflow
Lab 14 - Building AI Agent with Langflow (No Code / Low Code Tool)
LLM / SLM Selection for AI Agents / Agentic AI
Demo: Reflection in AI Agents
Building Multi-agent Systems
Google Agent2Agent (A2A) Protocol for Multi-agent Collaboration with Demo
Demo: Multi-agent Collaboration
Lab 15 - Multi-agent Collaboration with Google A2A Protocol

Module 6: Production deployment of AI Agents ( 2Hours)

Agent Performance evaluation & observability
Agent Security
Agent Deployment & Scaling Options on Cloud
Agent Deployment on Local Servers / Edge
Post-production Considerations for AI Agents
AI Safety via Guardrailing
Lab 16: Agent Evaluation / LLM-as-a-Judge
Breakout Room Activity - Design Cloud Architecture for AI Agent Deployment

Module 7: Responsible AI (1 Hour)

AI Ethics, Risk & Governance via Responsible AI framework
AI Regulations- EU AI Act, California AI Bill, others
Constitutional AI and Sovereign AI incl European AI Cloud

Course Curriculum

AI Agent Development & SDLC Automation with OpenAI Technologies Workshop Syllabus

Download Curriculum

Refresher: Artificial Intelligence and Machine Learning
Natural Language Processing - Foundations of modern Generative AI
Artificial General Intelligence (AGI) vs Classic ML
Pre-trained LLMs (Large Language models) & Multimodal LLMs - Basics
How LLMs are developed
Prominent open-source and proprietary LLMs
Reasoning models
OpenAI Models: GPT-5.2, GPT-OSS
Lab 1- Working with Embedding models
Framework for applying AI to business use cases
AI use cases across Industries & Business Functions

Ways of working with LLMs/SLMs (Small Language models)
Prompt Engineering/ Prompting LLMs
Metaprompting with examples
Vibe Coding
Lab 2: Advanced Prompt Engineering
Lab 3: Vibe Coding for building software apps without coding using OpenAI models and tools
Context Engineering vs Prompt Engineering
Finetuning LLMs and Finetuning vs Context Engineering
Lab 4: Context Engineering
Demo: OpenAI APIs: Responses API, Realtime API, Assistants API, Batch API
Lab 5: Working with OpenAI APIs
Retrieval Augmented Generation (RAG) for knowledge/information querying/availability (static & dynamic, real-time)
AI Agents with examples
OpenAI Agents SDK—Overview & demo
Lab 6: Working with OpenAI Agents SDK
Overview of agent skills to build specialized agents.
Demo: General AI Agent (Manus AI)
Reasoning in AI Agents and use of Reasoning models
OpenAI model pricing and cost optimization

Data pipeline for RAG
Demo/Code walkthrough—Naïve RAG with OpenAI LLMs
Breakout Room Activity: Understanding the code/flow of an E2E RAG pipeline with OpenAI
Business use cases of RAG Apps across Industries and Horizontals/ Functions, including Vertical AI Agents
Chunking Strategies
Creating Vector embeddings and storing in Vector database, with examples
Retrieval Mechanics & similarity/vector search techniques
Langchain, Llamaindex, and coding frameworks for RAG Development
Techniques for improving RAG accuracy: Reranking, chunk optimization, others
Langflow for low-code, no-code visual modeling-based RAG development
Advanced RAG techniques: Agentic RAG, GraphRAG
Demo: Code walkthrough of a RAG App
Lab 6: Build a multi-agent app with OpenAI Agent Builder
Lab 7: Building RAG App with Python-Based Coding Framework

AI Agent Architectures and how to select SLM / LLM for agents
Open Agent SDK
Architectures & demos - Design patterns of AI Agentic workflows:
Reflection, Tool use / Function calling, Planning, Multi-agent collaboration
Business use cases of AI Agents across Industries and Horizontals / Functions including Vertical AI Agents
Technical use cases of AI Agents (in SDLC automation)
Step-by-step - Designing an AI Agent (with examples)
Agentic Memory - Long term, short-term with demos
OpenAI computer control and agents controlling browser, keystrokes and mouse clicks using Computer Use and Operator
AI Agent / Agentic AI Pricing models & how they are disruptive to existing SaaS models
Breakout Room Activity: Building use case and specs for an AI Agent
Lab 8: Building analytics dashboards with graphs and charts using OpenAI agents and tools
Overview - OpenAI Agent Builder and Chatkit
Demo - Building agents with OpenAI Agent Builder and Chatkit
Lab 9: Building Multi-agent system with OpenAI Agent Builder
Technical architectures for AI Agent development - General and on AWS / GCP / Azure
Model Context Protocol (MCP), MCP Server, Host & Client
Connecting Agents with 3rd party apps using MCP Servers
Demo - Setting up MCP Servers on Cline and GitHub Copilot in VSCode
Demo - Working with MCP Servers from Zapier, Composio, Azure
MCP Server Security
Agentic coding with OpenAI Codex and o-series models
Getting website data using MCP-B and llms.txt
Real-time web data access with tools like Tavily, Serper, etc.
Lab 10 - Building AI Agent with Tool use / Function calling and MCP Server integration

Introduction to LangGraph for building AI Agents
Demo - Building AI Agent with LangGraph
Lab 11 - Building AI Agent with LangGraph
Introduction to Microsoft AutoGen for building AI Agents
Demo - Building AI Agent with AutoGen
Lab 12 - Building AI Agent with AutoGen
Introduction to Google Agent Development Kit for building AI Agents
Demo - Building AI Agent with Google Agent Development Kit
Lab 13 - Building AI Agent with Google Agent Development Kit
Demo - Building AI Agent with Langflow
Lab 14 - Building AI Agent with Langflow (No Code / Low Code Tool)
LLM / SLM Selection for AI Agents / Agentic AI
Demo: Reflection in AI Agents
Building Multi-agent Systems
Google Agent2Agent (A2A) Protocol for Multi-agent Collaboration with Demo
Demo: Multi-agent Collaboration
Lab 15 - Multi-agent Collaboration with Google A2A Protocol

Agent Performance evaluation & observability
Agent Security
Agent Deployment & Scaling Options on Cloud
Agent Deployment on Local Servers / Edge
Post-production Considerations for AI Agents
AI Safety via Guardrailing
Lab 16: Agent Evaluation / LLM-as-a-Judge
Breakout Room Activity - Design Cloud Architecture for AI Agent Deployment

AI Ethics, Risk & Governance via Responsible AI framework
AI Regulations- EU AI Act, California AI Bill, others
Constitutional AI and Sovereign AI incl European AI Cloud

Download Curriculum

Have more questions or need

personalized guidance?

Contact Learning Advisor

What you will learn in this Production Grade AI Applications & SDLC Automation with OpenAI Technologies workshop

What Are the Learning Objectives of the Production Grade AI Applications and SDLC Automation with OpenAI Technologies Workshop?

Understand the Foundations of Modern AI and LLMs:

Develop a strong understanding of the way artificial intelligence, machine learning, and large language models work, and also about the development of LLMs.

Apply Advanced Prompt Engineering and Context Engineering Techniques:

Apply structured techniques, such as metaprompting, few-shot prompting, chain-of-thought reasoning, and context engineering, and understand the differences between prompt engineering and context engineering.

Work Confidently with OpenAI APIs:

Develop proficiency with the full OpenAI API suite, such as the Responses API, Realtime API, Assistants API, and Batch API, and understand the ways to select, configure, and integrate the right API for different application requirements.

Build Production-Ready RAG Pipelines:

Design and implement end-to-end retrieval-augmented generation systems that include data pipelines, document chunking strategies, vector embeddings, vector database management, and accuracy optimization using frameworks like LangChain and LlamaIndex.

Automate SDLC Workflows Using AI Agents:

Apply AI agent capabilities directly to software development lifecycle automation, including agentic coding with OpenAI Codex and automated code generation and integration with developer tools and GitHub workflows.

Deploy and Scale AI Agents in Production:

Understand the full spectrum of agent deployment options, such as cloud deployment on AWS, GCP, and Azure, local and edge deployment, agent performance evaluation, and post-production monitoring considerations.

Production Grade AI Applications & SDLC Automation with OpenAI Technologies Certification Course For Corporates

Why Corporates Choose Simpliaxis for AI Agent Development & SDLC Automation with OpenAI Technologies Workshop?

Technical teams in organizations look for experts who have in-depth technical expertise on production-grade AI development and follow a practical and result-oriented approach. At Simpliaxis our workshop sessions are not only about creating awareness but also about helping teams in developing skills required to build real AI systems. Enterprises choose us for the following reasons:

Course Curriculum designed and delivered by industry-experienced AI practitioners
Hands-on, lab-intensive format with 17 structured implementation labs
Inclusion of the complete OpenAI technology stack as well as leading frameworks such as LangChain, LangGraph, AutoGen, Google ADK, and MCP.
Flexible workshop sessions so that businesses can schedule, pace and customize on the basis of their team size, use case priorities, etc.

Corporate Group enquiry

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What is the Production Grade AI Applications and SDLC Automation with OpenAI Technologies Workshop?

The Production Grade AI Applications and SDLC Automation with OpenAI Technologies Workshop is an industry-focused program. It helps professionals to learn the best ways to build scalable AI applications, develop AI agents, and automate software development workflows using modern OpenAI technologies.

Who is this workshop designed for?

This Agentic AI Engineering with OpenAI Technologies workshop is tailored for the professionals like software engineers, ML engineers, DevOps practitioners, solution architects, and technical leads who want to build and deploy production-grade AI applications and automate software development workflows using OpenAI technologies. This workshop is also suitable for technical managers and AI enthusiasts who have a good engineering background and want to switch their career to hands-on AI development.

What will I learn in this OpenAI Technologies Workshop?

You will learn the basics of generative AI, LLMs, prompt engineering, RAG applications, AI agent development, OpenAI APIs, automation workflows, and techniques by attending this workshop. This will help you in creating production-ready AI solutions for real-world business and software engineering challenges.

What are the key topics covered in the workshop?

The AI Agent Development & SDLC Automation with OpenAI Technologies WorkShop covers LLMs, Multimodal AI, prompt engineering, context engineering, RAG, vector databases, OpenAI APIs, AI agents, multi-agent systems, MCP, SDLC automation, AI security, and production deployment practices.

Will I learn how to build AI agents during the workshop?

Yes, by attending the workshop, you will learn AI Agent Development with OpenAI technologies. This includes agent architectures, tool calling, reasoning workflows, memory, automation patterns, and the ways to build intelligent AI-driven applications for enterprise use cases.

Do I need to be an expert in Python to attend this workshop?

A basic familiarity with Python is highly desirable, but you do not require in-depth knowledge of Python. You will work with code across labs and demos; the focus primarily will be on AI architecture, API integration, and system design but not on writing Python from scratch. Therefore, a basic level of reading and understanding scripts is sufficient to attend the workshop.

What OpenAI tools and technologies will I work with during the workshop?

You will work on GPT-4o, the Responses API, the Realtime API, the Assistants API, the Batch API, OpenAI Embeddings, the OpenAI Agents SDK, the OpenAI Agent Builder, OpenAI Codex, etc. You will also use third-party frameworks such as LangChain, LlamaIndex, LangGraph, LangFlow, Microsoft AutoGen, and the Google Agent Development Kit.

How many hands-on labs are included in the workshop?

The workshop includes 17 structured, hands-on implementation labs. These labs will be related to embedding models, advanced prompt engineering, vibe coding, context engineering, OpenAI API integration, RAG pipeline development, multi-agent systems, LangGraph, AutoGen, Google ADK, LangFlow, MCP Server integration, agent evaluation, etc.

Is the Production Grade AI Applications and SDLC Automation with OpenAI Technologies workshop delivered online?

Yes, this workshop is delivered online by experts and includes real-time sessions, interactive labs, breakout room activities, live demos, and code walkthroughs.

Why should I choose this Production Grade AI applications workshop?

This workshop offers practical knowledge of emerging AI technologies, real-world implementation experience, etc. It also provides hands-on expertise so that you can build AI-driven applications and automate modern software engineering workflows.

What happens to my token or partial payment if I don’t enroll immediately?

Token or partial payments will become non-refundable after 15 days from the date of payment.
Any token or partial amount paid can be applied towards enrollment for any available sessions on our website within 6 months of the payment date.

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.

Production Grade AI Applications & SDLC Automation with OpenAI Technologies Course FAQs

FAQs on Production Grade AI Applications and SDLC Automation with OpenAI Technologies Workshop

Yes, this workshop is delivered online by experts and includes real-time sessions, interactive labs, breakout room activities, live demos, and code walkthroughs.

Token or partial payments will become non-refundable after 15 days from the date of payment.
Any token or partial amount paid can be applied towards enrollment for any available sessions on our website within 6 months of the payment date.

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

Daniel Harper
Product Manager
Outstanding training from Simpliaxis! The curriculum on multi-agent architectures and RAG pipeline development using Claude was thorough and current. Real-world use cases across industries gave me the confidence to lead AI initiatives at my organization immediately.
Sarah Mitchell
Cloud AI Architect
I enrolled in this course to upskill as a software architect, and Simpliaxis exceeded my expectations. The MCP server integration labs and Claude API demos were practical and industry-relevant. The trainer's mentorship made complex agentic concepts easy to grasp.
Priya Venkataraman
AI Solutions Architect
The hands-on labs in Simpliaxis's Agentic AI Engineering course were brilliant. From context engineering to building RAG applications with Langflow, every module was structured and practical. The trainers were knowledgeable and always available for 1:1 support.
James O'Brien
Technical Lead
Simpliaxis's Agentic AI Engineering with Claude course was a game-changer. The 48-hour live sessions covering RAG, LangChain, and multi-agent systems were incredibly hands-on. I went from theory to deploying a production-grade AI agent within weeks. Highly recommended!
Arjun Krishnamurthy
AI/ML Engineer
Simpliaxis delivered exceptional value through this Agentic AI Engineering course. Building autonomous agents with Claude SDK, integrating MCP servers, and deploying on cloud platforms gave me skills that no other training provided. My career in AI has taken a huge leap forward.
Jai Kumar Jadhav
I’m happy to share that I’ve obtained a new certification: Certified Scrum Product Owner (CSPO) from Scrum Alliance🙏 A heartfelt thank you to Simpliaxis for a well-structured training experience and to our amazing Naveen Nanjundappa for thoroughly covering the CSPO concepts and making the learning engaging and practical

Why Choose Simpliaxis for the Agentic AI Engineering with OpenAI Technologies Workshop?

Industry-Relevant Agentic AI Training

Simpliaxis offers a practical Agentic AI Engineering with OpenAI Technologies Workshop focused on the latest AI trends and helps professionals understand AI Agents, LLMs, automation workflows, etc.

Expert-Led Learning Sessions

We conduct the workshop with experienced instructors who provide valuable insights into generative AI, OpenAI models, AI agent architectures, and real-world AI adoption strategies.

Flexible Learning Options

At Simpliaxis, we provide flexible and customized learning options for the workshop so that professionals and teams can upskill themselves on AI technologies based on their convenience.

Comprehensive AI Engineering Curriculum

Our Agentic AI engineering with OpenAI technologies workshop covers essential concepts such as LLMs, prompt engineering, context engineering, RAG applications, AI Agent Development, multi-agent systems, AI automation, etc.

Practical OpenAI Technology Implementation

We help professionals to gain hands-on exposure to OpenAI tools, APIs, AI frameworks, and development approaches required for building scalable AI applications and Agentic AI solutions.

Build Production-Ready AI Applications

Simpliaxis helps participants move beyond AI concepts by focusing on designing secure, scalable, and reliable production-grade AI applications using modern AI engineering practices.

Interactive Labs and Practical Exercises

Participants gain practical experience through guided labs, demonstrations, and hands-on activities designed to strengthen AI application development and implementation skills.

Career-Focused AI Skill Development

At Simpliaxis, we help professionals develop in-demand skills in Agentic AI engineering, OpenAI technologies, and AI application development and stay competitive in the dynamic business environment.

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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 Licensed Training Partner (LTP) of Scrum Alliance.

Profession Scrum Master (PSM-I®, PSM-II®, PSM-III®), Profession Scrum Product Owner (PSPO-I®, PSPO-II®, PSPO-III®), Profession Scrum Developer (PSD-I®), Scaled Professional Scrum(SPS®),Professional Scrum With Kanban(PSK-I®) , Prove your knowledge of Professional Agile Leadership(PAL-I®), Prove your knowledge of Evidence-Based Management™ (PAL-EBM®), Prove Your Scrum with User Experience Knowledge(PSU-I®) and Professional Scrum Trainer(PST®) are registered trademarks of Scrum.org®. SimpliAxis INC is a Professional Training Network member of Scrum.org®.

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