Agentic AI with AWS Bedrock

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Agentic AI with AWS Bedrock

Agentic AI with AWS Bedrock Workshop

Design Intelligent Systems to Execute Tasks with Agentic AI with AWS Bedrock Workshop!

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Join the 40 Hours of Agentic AI with AWS Bedrock Workshop
Learn to Develop AI Agents and RAG Apps with Python Coding
Trained by Experienced Professionals in Agentic AI
Achieve Hands-On Experience in Building AI Agents
Equips Learners to Design and Deploy Agentic AI Solutions

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

Overview of AWS AI Bedrock Workshop

The AWS AI Bedrock course will explore the core principles and strategies for designing agentic AI systems using AWS services. Participants will learn how the traditional system differs from Agentic AI. In addition, participants will learn to use tools like Amazon Bedrock AgentCore and Strands Agents SDK to create an autonomous solutions that resolve the real problems.

What is Agentic AI with AWS Bedrock Workshop?

Agentic AI with AWS Bedrock training will start from basic Agentic AI and the characteristics of AI agents. Then, participants get deep insights into Amazon Bedrock Agents and the Multi-Agent framework. The training provides hands-on experience in building, managing, and deploying AI agents using AWS Bedrock and AWS services. Professionals will learn the fundamentals of Agentic AI, RAG, prompt engineering, and workflow automation. The course equips professionals to create autonomous AI solutions and develop a scalable AI for business applications.

What’s Included in Our AWS AI Bedrock Workshop?

Simpliaxis’s AWS AI Bedrock Course is offered by professional software engineers with experience in modern technologies. Professionals can achieve the following benefits from our training:

Build production, ready AI agents
Hands-on experience with AWS-AI services
Become skillful in RAG and multi-agent systems
Improve automation and decision-making capabilities

What are the Skills Covered in the AWS AI Bedrock Workshop?

The Agentic AI Engineering Program training enables professionals to achieve skills like:

Recognizes the end-to-end lifecycle of AGI apps and RAG apps from discovery, design, development, to scaling and deployment.
Develops AI agents and RAG apps with Python coding and AWS Bedrock tools.
Explore AI engineering techniques used by high-scale AI assistants.
Learn Basic Concepts of CrewAI, Model Context Protocol (MCP), and build a Coding Agent.

What are the Modes of the AWS AI Bedrock Workshop?

Simpliaxis offers an online AWS AI Bedrock Course with interactive, engaging sessions & Lab practices. Our e-modules, doubt-clearing sessions, expert guidance, and easy-to-access study material & hands-on practices open doors to career opportunities.

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Agentic AI with AWS Bedrock Training Highlights

What are the Key Highlights of the Agentic AI with AWS Bedrock Workshop?

Our course incorporates the following key highlights:

40 Hours of Interactive and Simulation-Based Learning

Include 8 Hours AI Agent Code-Based & No-Code/Low-Code Labs

Prompt Engineering for Technical SDLC Tasks

Expert-Led Sessions with Real-World Insights

24/7 Learning Assistance and Query Support

Flexible, Interactive Online Learning Experience

Boost Career with AWS AI Bedrock Course

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Career upliftment

Boost your career with the Agentic AI with AWS Bedrock Workshop

What are the Learning Outcomes of the Agentic AI with AWS Bedrock Workshop?

Agentic AI characteristics and how they differ from those of traditional AI systems.
Identify how Bedrock AgentCore services support agentic AI & interactions.
Core features of AgentCore Runtime and support frameworks with Runtime.
Learn & configure AgentCore Identity for enterprise security requirements.
Exert secure token management and permission delegation systems.
Develop policies to secure agent tool calls using AgentCore Policy.
How to optimize memory performance for production workloads.
Develops deployment strategies for production environments.
Build AgentCore Memory operations for context-aware development.
Apply agentic memory patterns for different use cases.
Incorporate agentic systems with production APIs and services.

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Benefits focused on Individuals and corporate

What are the Benefits of Getting the Agentic AI with AWS Bedrock Workshop?

Individuals Benefits

Gain AI Skills: Through our Agentic AI with AWS Bedrock course, professionals will learn about Agentic AI concepts and autonomous agents. These are the things companies look for when hiring people. Learning Agentic AI concepts and autonomous agents will help you.
AWS Bedrock Experience: Deploy artificial intelligence-powered applications using AWS Bedrock and foundation models in real-life situations. This course helps enhance knowledge and gain hands-on experience with AWS Bedrock.
Career Growth Opportunities: The Agentic AI with AWS Bedrock course equips professionals with the skills needed for career advancement. The course helps professionals to work as an AI Engineer, Generative AI Developer, and Cloud Solutions Architect.
Practical Problem-Solving Skills: The Agentic AI with AWS Bedrock training enables professionals to design intelligent agents to automate tasks, improve decision-making, and increase productivity.

Corporate Benefits

Accelerate AI Adoption: This will help artificial intelligence solutions be used across the company, such as those for customer service or sales. The goal is to make it easy for teams to create and use these solutions.
Improve Operational Efficiency: Automate repetitive processes and workflows to reduce manual effort and increase productivity.
Reduce Development Complexity: Use AWS Bedrocks managed services to build AI applications. You do not need to manage the underlying infrastructure.
Drive Innovation and Competitive Advantage: Empower employees to create intelligent solutions that enhance customer experiences and business outcomes.

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Common attendees

Who usually attend Agentic AI with AWS Bedrock Training

Technical personals
Software developers
Cloud engineers
Architects
ML Engineers
Data scientists
Technical Delivery & Presales managers
Engineering Mgrs
Technical Project Managers

Prerequisites for Agentic AI with AWS Bedrock certification training

What are the Prerequisites for the AWS AI Bedrock Workshop?

Basic Knowledge of AWS Services, knowledge of Amazon Bedrock, and AWS Lambda will be helpful but not mandatory. However, freshers who lack familiarity with these services can also apply for the course.

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Your Journey Path to Getting the Agentic AI with AWS Bedrock Workshop

Enroll:

Attend the AWS AI Bedrock Training with Simpliaxis.

Attending Workshop:

Complete all 40 hours of live, instructor-led sessions and lab practices.

Learning:

Our experienced trainers will provide comprehensive training with real-world scenario-based learning

Hands-On Experience:

Participants will gain access to hands-on workshops and AI strategy labs.

Curriculum

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

Artificial General Intelligence vs Classic ML/ Narrow AI
Deep Neural Networks
Transformer Architecture
Natural Language Processing with Deep Neural Networks and Transformers
Pre-trained LLMs & Multimodal LLMs
LLM Mechanics- Tokenization, Input & Output tokens, Embeddings, Context Window
Lab 1: Prompting LLMs for solving Machine Learning problems
Lab 2: Multimodel Embeddings (AWS Titan)
Lab 3: Building a custom tokenizer
Lab 4: Applying Natural Language Processing Techniques

Module 2:Working with LLMs on AWS

Artificial General Intelligence vs Classic ML
How LLMs are engineered from scratch
Zero-shot, one-shot, few-shot prompting/ Prompt Engineering for Technical SDLC Tasks
RAG Architectures - Naïve RAG with reranker & semantic chunking to improve accuracy, GraphRAG
Context Engineering vs Prompt Engineering
Reasoning in AI Agents and use of Reasoning models
Walkthrough of the features of AWS Bedrock
Working with LLMs with AWS Bedrock (Tour of various features of Bedrock)
Demo- Bedrock knowledge bases for RAG
LLM serving in apps with a serverless AWS stack
Demo- Reinforcement finetuning on Bedrock
Demo: Building a LLM-powered Email Autoresponder
Lab (In-session): Building an AI Agent in a low-code, no-code tool - Langflow
Lab 5: Prompt Engineering (Technical SDLC tasks)
Lab 6: Context Engineering
Lab 7: Creating a RAG Chatbot for document knowledge extraction with AWS Bedrock, S3, Opensearch, IAM permissions, Terraform
Lab 8: Build an AI Agent with Amazon Nova/ Claude/ Meta (one of the LLMs) in Bedrock

Module 3: Deep-dive into AI Agents/ Agentic AI-1

Deep dive into AI Agent Design patterns with demos -Reflection, Tool Use, Planning, Multi-agent Collaboration
AWS Strands SDK - Features (Building multi-agent systems)
Creating custom tools and tool executors in the Strands SDK
Working with MCP Servers in Strands SDK
Agentic Memory- Semantic, Episodic, Procedural
Model context protocol (MCP), MCP Servers, and their applications with API Integrations with Agents
Agentic RAG
Lab: Agentic RAG
Lab (In-session): AI Agent use case discovery & detailing (spec writing)
Lab 9: Reflection in AI Agents
Lab 10: Agentic Memory
Lab 11: Building an agent that calls the MCP Server

Module 4:Deep-dive into AI Agents/ Agentic AI-2

Agentic Document Workflows (ADW) with demo
Agentic Object Detection with demo
AI Agent application and architectures for SDLC Tasks (Code generation, testing, documentation, others)
Case Study- AWS native Multi-agent broker architecture
Lab 12: Building multi-agent systems with AWS Bedrock
Lab 13: AI Agent Building with low-code,no-code builder tool (Langflow)

Module 5: Deep-dive into AI Agents/ Agentic AI-3

Evaluation agents and self-adapting evaluations
Spec-driven development with AWS Kiro
Working with AWS Q Developer
Agent Skills
Creating ROI from Enterprise AI Agent Implementation
Building multi-agent systems with Pydantic AI (concept, demos)
AI Agent UI-UX Design Practices
Guardrailing / AI Safety for AI Agents
AI Agent deployment and post-production operations
AI Agent & LLM Security, Data privacy, Compliance considerations & practices
Lab 14: AI Agent Evaluation with LLM as judge on AWS Bedrock
Lab 15: Agent Skills
Lab 16: Building a multi-agent system with AWS Agent Builder
Lab 17: Guardrailing for LLMs & AI Agents

Module 6: Deployment, Operations & Scaling in Production

AgentCore for deploying AI Agents
Ideas/ Opportunities & practices on injecting Agentic AI & RAG in DevOps, SRE/ product ops/ observability
Failure prediction & anomaly detection
AI-powered continuous delivery (Deployment, Release, Infra provisioning)
Demo- Building an app with Google Firebase Studio
AI Agents for Kubernetes (Kubiya Kubernetes Crew)
Building an AI Agent to debug Kubernetes
From DevOps to AgentOps (or AgenticOps)
5 Case Studies- Agentic AI in SDLC/ DevOps
New features in AWS Bedrock
Lab 18: Build an Expense Approval Agent

Course Curriculum

Agentic AI with AWS Bedrock Workshop Curriculum

Download Curriculum

Artificial General Intelligence vs Classic ML/ Narrow AI
Deep Neural Networks
Transformer Architecture
Natural Language Processing with Deep Neural Networks and Transformers
Pre-trained LLMs & Multimodal LLMs
LLM Mechanics- Tokenization, Input & Output tokens, Embeddings, Context Window
Lab 1: Prompting LLMs for solving Machine Learning problems
Lab 2: Multimodel Embeddings (AWS Titan)
Lab 3: Building a custom tokenizer
Lab 4: Applying Natural Language Processing Techniques

Artificial General Intelligence vs Classic ML
How LLMs are engineered from scratch
Zero-shot, one-shot, few-shot prompting/ Prompt Engineering for Technical SDLC Tasks
RAG Architectures - Naïve RAG with reranker & semantic chunking to improve accuracy, GraphRAG
Context Engineering vs Prompt Engineering
Reasoning in AI Agents and use of Reasoning models
Walkthrough of the features of AWS Bedrock
Working with LLMs with AWS Bedrock (Tour of various features of Bedrock)
Demo- Bedrock knowledge bases for RAG
LLM serving in apps with a serverless AWS stack
Demo- Reinforcement finetuning on Bedrock
Demo: Building a LLM-powered Email Autoresponder
Lab (In-session): Building an AI Agent in a low-code, no-code tool - Langflow
Lab 5: Prompt Engineering (Technical SDLC tasks)
Lab 6: Context Engineering
Lab 7: Creating a RAG Chatbot for document knowledge extraction with AWS Bedrock, S3, Opensearch, IAM permissions, Terraform
Lab 8: Build an AI Agent with Amazon Nova/ Claude/ Meta (one of the LLMs) in Bedrock

Deep dive into AI Agent Design patterns with demos -Reflection, Tool Use, Planning, Multi-agent Collaboration
AWS Strands SDK - Features (Building multi-agent systems)
Creating custom tools and tool executors in the Strands SDK
Working with MCP Servers in Strands SDK
Agentic Memory- Semantic, Episodic, Procedural
Model context protocol (MCP), MCP Servers, and their applications with API Integrations with Agents
Agentic RAG
Lab: Agentic RAG
Lab (In-session): AI Agent use case discovery & detailing (spec writing)
Lab 9: Reflection in AI Agents
Lab 10: Agentic Memory
Lab 11: Building an agent that calls the MCP Server

Agentic Document Workflows (ADW) with demo
Agentic Object Detection with demo
AI Agent application and architectures for SDLC Tasks (Code generation, testing, documentation, others)
Case Study- AWS native Multi-agent broker architecture
Lab 12: Building multi-agent systems with AWS Bedrock
Lab 13: AI Agent Building with low-code,no-code builder tool (Langflow)

Evaluation agents and self-adapting evaluations
Spec-driven development with AWS Kiro
Working with AWS Q Developer
Agent Skills
Creating ROI from Enterprise AI Agent Implementation
Building multi-agent systems with Pydantic AI (concept, demos)
AI Agent UI-UX Design Practices
Guardrailing / AI Safety for AI Agents
AI Agent deployment and post-production operations
AI Agent & LLM Security, Data privacy, Compliance considerations & practices
Lab 14: AI Agent Evaluation with LLM as judge on AWS Bedrock
Lab 15: Agent Skills
Lab 16: Building a multi-agent system with AWS Agent Builder
Lab 17: Guardrailing for LLMs & AI Agents

AgentCore for deploying AI Agents
Ideas/ Opportunities & practices on injecting Agentic AI & RAG in DevOps, SRE/ product ops/ observability
Failure prediction & anomaly detection
AI-powered continuous delivery (Deployment, Release, Infra provisioning)
Demo- Building an app with Google Firebase Studio
AI Agents for Kubernetes (Kubiya Kubernetes Crew)
Building an AI Agent to debug Kubernetes
From DevOps to AgentOps (or AgenticOps)
5 Case Studies- Agentic AI in SDLC/ DevOps
New features in AWS Bedrock
Lab 18: Build an Expense Approval Agent

Download Curriculum

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personalized guidance?

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What you will learn in this Agentic AI with AWS Bedrock workshop

What are the Learning Objectives of the Agentic AI with AWS Bedrock Workshop?

Understand Agentic AI:

Our Agentic AI with AWS Bedrock course explores the attributes of agentic AI and distinguishes them from those of conventional AI systems. Identify the fundamental components of agents and their interactions. Elucidate how Bedrock AgentCore services facilitate agentic AI.

Learn AgentCore Runtime:

Utilize supported frameworks to deploy agents using AgentCore Runtime. Explain the fundamental characteristics of AgentCore Runtime and establish serverless execution with session segregation. Configure AgentCore Identity to meet enterprise security specifications. Formulate regulations to safeguard agent-tool communications in accordance with the AgentCore Policy.

Implementation of Agentic AI:

Our AWS AI Bedrock Workshop establishes secure token management and authorizes permission delegation. It guarantees adherence to data governance and auditing standards. Executes several tool integration patterns, encompassing both native tools and protocol-based tools.

Design MCP Servers:

Develop and implement Model Context Protocol (MCP) servers and clients to enhance agent functionality. Explore prevalent authentication methodologies for using agent tools. Configure AgentCore Gateway components to ensure secure, authorized access to tools.

Agentic Memory, Monitoring, and Evaluation:

The Agentic AI with AWS Bedrock Workshop establishes agentic memory frameworks for various applications and configures AgentCore memory operations for context-aware programming. Establish AgentCore Observability for production surveillance, integrate Amazon CloudWatch, and implement specific tracing.

Production Integration and Deployment Strategies:

Incorporate agentic systems with production APIs and services. In addition, the course enables professionals to formulate deployment methods for production environments and evaluate production preparedness for ongoing enhancement procedures.

Agentic AI with AWS Bedrock Certification Course For Corporates

Why Corporations Choose Us for the Agentic AI with AWS Bedrock Workshop?

We at Simpliaxis designed the Agentic AI with the AWS Bedrock Workshop to help organizations build real applications in Agentic AI. Our practical, hands-on AI training is tailored to real-world project environments and helps professionals learn to design and develop AI-powered tools and AWS Bedrock. Why do organizations choose us:

Our custom training improves productivity and the workforce in the Software and technology industries.
Many employees and groups around the world trust Simpliaxis for their professional development.
Simpliaxis offers significant discounts on group training and additional discounts on advanced courses.

Corporate Group enquiry

Our Customer words for us

Take a Look at Our Clients

What is Agentic AI with AWS Bedrock Workshop?

Agentic AI with AWS Bedrock Workshop enables professionals to build, deploy, and manage AI agents. You will learn to use AWS Bedrock and foundation models with real-world business applications. Our program focuses on AWS Bedrock, which helps professionals create AI agents for business use. Participants will learn how to build, deploy, and manage AI.

Who should attend this AI with AWS Bedrock Workshop?

If you work as an AI Engineer, Machine Learning Engineer, Software Developer, Cloud Architect, Solution Architect, or technology professional interested in building agentic AI applications, you can enroll in our AWS AI Bedrock Workshop.

What are the prerequisites for this AWS AI Bedrock Workshop?

There are no strict prerequisites for the course; however, a basic understanding of cloud computing, Python programming, APIs, and generative AI concepts is recommended, along with prior AWS experience, though it is not mandatory.

What skills will you gain from this AWS AI Bedrock Workshop?

Our Workshop helps participants to design agentic workflows, implement memory and observability features, integrate AI agents with APIs and services, and deploy production-ready solutions using AWS Bedrock.

How will this AWS AI Bedrock Course benefit my career?

The course helps professionals gain practical expertise in Agentic AI and AWS technologies, enhancing their ability to develop advanced AI solutions and pursue roles in AI engineering, cloud architecture, and generative AI development.

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.

Agentic AI with AWS Bedrock Course FAQs

FAQs – Agentic AI with AWS Bedrock Workshop

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 The AWS AI Bedrock Workshop with Simpliaxis?

Global Acknowledgment

The AWS AI Bedrock training helps professionals to learn about agentic workflows. The professionals will gain worldwide recognition, ensuring legitimacy and acceptance across all sectors.

Skilled Instructor

Learn from skilled, knowledgeable instructors who provide practical experience and real-world business perspectives.

Adaptable Learning

Our AWS AI Bedrock Workshop offers a range of learning options that help professionals develop Agentic AI skills.

Proven Success Record

Simpliaxis is a reputable training organization with outstanding expertise, assisting businesses and professionals in developing their skills and achieving their professional goals.

Complete Support

Simpliaxis provides ongoing support before, during, and after training, including career advising, counseling, and exam-preparation guidance.

Engaging and Interactive Sessions

Our AWS AI Bedrock workshop is designed to be engaging, featuring questions and answers to support comprehension, as well as real-world scenarios that involve group participation.

Future Upgradation

Simpliaxis offers multiple advanced courses in Agentic AI, Agile, and Project Management, as well as other globally recognized microcredentials that support career development.

A wide range of courses

Simpliaxis offers various internationally acknowledged certification courses in Agile, Scrum, SAFe, DevOps, Project Management, and more.

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