Agentic AI for Beginners

Agentic AI for Beginners
Published 11/2025
Duration: 5h 47m | .MP4 1280×720 30fps(r) | AAC, 44100Hz, 2ch | 2.40 GB

Learn Agentic AI by Building Real AI Agents with AWS Bedrock – Autonomy, Actions, LLM, Knowledge Base, Hands-On Training
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
– 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 exactlyhow 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 wanthands-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 learnreal 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 isnota “watch and learn” course – it’s”build as you learn”.

2 – Why Agentic AI Matters:

LLMs can answer questions – butagents 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 learnhow agents think, act, plan, and use tools- all through clear, beginner-friendly, step-by-step lessons.

3 – What You’ll Learn:

Core concepts ofAgentic AI, autonomous agents, and multi-agent systems

Build yourfirst AI agent from scratch

CreateKnowledge Basesand connect them to your agents

ConfigureTools, Actions, and Action Groupsfor autonomous execution
UseAWS Bedrockto implement real agent workflows

Test, refine, and improve agent behaviour throughpractical, hands-on examples

Applyprompt engineering best practicesto improve agent reasoning

Understandhow custom agents can be used across business functions

Responsible AIfor ethical and safe development guidelines for enterprise AI systems

Everything is simplified, practical, anddesigned 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)

AnAWS 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 AI automations
If you want practical, job-ready skills in this new era, this course will get you there step-by-step.

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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