Beginner course

Agentic AI for Beginners

Learn Agentic AI by Building Real AI Agents with AWS Bedrock - Autonomy, Actions, LLM, Knowledge Base, Hands-On Training

Rating: 4.54,038 ratings16,782 students6 total hours28 lectures
Agentic AI for Beginners Beginner

Course facts

  • Last updated 03/2026
  • English English [Auto], Dutch [Auto] , 3 more
  • Instructor: Aakriti E-Learning Academy
  • AI agents, automation and connected workflows

What you'll learn

Practical outcomes

  • 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

Curriculum

8 sections • 28 lectures • 5h 51m total length

Getting Started with Agentic AI7 lectures • 54min
  1. Introduction to the Course04:28
  2. Quick points about this learning journey00:57
  3. Evolution of AI Systems10:03
  4. Understanding Agentic AI12:29
  5. Agents and Their Core Components11:18
  6. Multi-Agent Systems11:31
  7. Recap & Key Takeaways03:37
Quiz0 lectures • 0min
  1. Agentic AI Basics 7 questions
Creating Your First Agent4 lectures • 52min
  1. Popular Frameworks for Building Agents05:23
  2. Creating Your First Agent - Part 125:13
  3. Creating Your First Agent - Part 218:44
  4. Recap & Key Takeaways02:28
Enhancing Agents with Knowledge Base5 lectures • 39min
  1. Knowledge Bases and Their Importance06:22
  2. IMPORTANT: AWS Setup information, please read00:47
  3. Creating a Knowledge Base13:31
  4. Linking Knowledge Base to Agents15:21
  5. Recap & Key Takeaways02:43
Autonomy and Actions4 lectures • 1hr 21min
  1. How do Agents work autonomously?14:14
  2. Setting up an Agent Tool29:11
  3. Working with Action Groups19:00
  4. Updating Agent Instructions & Testing18:45
Advanced Actions4 lectures • 1hr 22min
  1. Expanding Our Agent’s Capabilities06:02
  2. Setting Up Advanced Actions27:53
  3. Using Bedrock Action Groups16:05
  4. Updating Agent Instructions & Testing31:59
Advanced Actions - Assignment2 lectures • 36min
  1. Assignment Question08:19
  2. Step-by-Step Solution28:07
Conclusion and Next Steps2 lectures • 7min
  1. Next Steps06:14
  2. Bonus Section00:33

Who it 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

Course description

Overview

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 AI automations 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.

Instructor

Aakriti E-Learning Academy

Aakriti E-Learning Academy Data, AI, Gen AI, Testing expert... Always a learner!! Have a passion to learn, and up-skill I've 15+ years of experience in software industry in Data, AI, Gen AI, Agentic AI, Automation, Agile, Software Testing, Project Management. I've also worked as part-time trainer and corporate instructor. Looking to continue the spirit on Udemy and help learners. As a member of my course, you will get continuous support for any queries, concern, feedback you have. So never hesitate to drop me a message, and you can expect back quick reply. Thank you, and keep learning!!