Agentic AI for Beginners

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
Requirements
No prior experience with AI, Generative AI, or Agentic AI - the course starts from the basics
Basic Python skills (beginner level)
An AWS account (free-tier eligible) for hands-on practice with Bedrock and other services
Description
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 agentsHow agents use tools and actionsHow to integrate knowledge sourcesHow to deploy everything on AWS BedrockClear 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 systemsBuild your first AI agent from scratchCreate Knowledge Bases and connect them to your agentsConfigure Tools, Actions, and Action Groups for autonomous executionUse AWS Bedrock to implement real agent workflowsTest, refine, and improve agent behaviour through practical, hands-on examplesApply prompt engineering best practices to improve agent reasoningUnderstand how custom agents can be used across business functionsResponsible AI for ethical and safe development guidelines for enterprise AI systemsEverything is simplified, practical, and designed for absolute beginners.4 - Hands-On Focus:You will build:Working agent frameworksKnowledge-powered agentsAction-enabled autonomous workflowsA complete hands-on assignment with guided steps5 - 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 wayDevelopers, QA engineers, cloud engineers, and data professionals exploring real agent workflowsAnyone wanting to build and deploy AI Agents, custom LLM-powered actions, or business-ready AI automationsStart 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.
Who this course is for
Beginners who want to understand and build Agentic AI systems through simple, practical explanations
Software developers, QA engineers, data professionals, and tech leaders exploring real-world AI agent workflows
Professionals looking to build, extend, and deploy AI agents, custom solutions or business-ready AI automations
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