What you'll learn:
- Understand the fundamentals of Agentic AI, how autonomous AI agents work, and their real-world applications
- Build your first AI agent from scratch using widely adopted agent frameworks
- Create and integrate knowledge bases to make agents more intelligent, contextual, and efficient
- Configure agent tools, actions, and workflows to enable autonomous task execution
- Develop advanced agent capabilities using AWS Bedrock Action Groups and real cloud implementations
- Test, refine, and optimize agent behavior through hands-on exercises, assignments, and practical demos
AI Agents are the future. Companies are moving fast toward autonomous, goal-driven Agentic AI systems. This course teaches you exactly how to build those real AI agents using AWS Bedrock, LLMs, Actions, and Knowledge Bases, by solving real world business use case in support, operations, IT. If you want hands-on, practical Agentic AI skills (not theory), this is the course designed for you.
1 – Why Choose this course:
You won’t just learn prompts — you’ll learn real Agentic AI:
How LLMs become agents
How agents use tools and actions
How to integrate knowledge sources
How to deploy everything on AWS Bedrock
Clear teaching. Practical demos. Real agent builds. This is not a “watch and learn” course — it’s “build as you learn”.
2 – Why Agentic AI Matters:
LLMs can answer questions — but agents can take actions, make decisions, use tools, and work autonomously.
This is the next major shift in AI, and it’s already transforming development, QA, automation, and cloud engineering.
In this course, you’ll learn how agents think, act, plan, and use tools — all through clear, beginner-friendly, step-by-step lessons.
3 – What You’ll Learn:
Core concepts of Agentic AI, autonomous agents, and multi-agent systems
Build your first AI agent from scratch
Create Knowledge Bases and connect them to your agents
Configure Tools, Actions, and Action Groups for autonomous execution
Use AWS Bedrock to implement real agent workflows
Test, refine, and improve agent behaviour through practical, hands-on examples
Apply prompt engineering best practices to improve agent reasoning
Understand how custom agents can be used across business functions
Responsible AI for ethical and safe development guidelines for enterprise AI systems
Everything is simplified, practical, and designed for absolute beginners.
4 – Hands-On Focus:
You will build:
Working agent frameworks
Knowledge-powered agents
Action-enabled autonomous workflows
A complete hands-on assignment with guided steps
5 – Requirements:
Basic Python skills (just beginner level)
An AWS account (mostly free-tier access; small usage costs may occur)
No prior AI or LLM knowledge required.
6 – Who Should Take This Course:
Beginners who want to learn Agentic AI in a simple, practical way
Developers, QA engineers, cloud engineers, and data professionals exploring real agent workflows
Anyone wanting to build and deploy AI Agents, custom LLM-powered actions, or business-ready AIautomations
Start Building the Future - Agentic AI is the direction AI development is heading.
If you want practical, job-ready skills in this new era, this course will get you there step-by-step.
Enroll now and start building real AI Agents with Agentic AI and AWS Bedrock.
Note on AWS Costs: This course is designed to stay within the AWS Free Tier wherever possible; however, because AWS uses a pay-as-you-go model also for some services, you can expect to incur usage costs (typically just a few dollars if you follow along) as you build and test your agents.
