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Agentic AI for Beginner: Build AI Agents From Scratch
Rating: 4.5 out of 5(5,357 ratings)
28,055 students

Agentic AI for Beginner: Build AI Agents From Scratch

Learn to Design, Build, and Deploy Agentic AI Systems that Plan, Reason, and Act Autonomously with basic Python
Created byAman Kumar
Last updated 6/2026
English

What you'll learn

  • Master the Fundamentals of Agentic AI
  • Build and Deploy Your Own AI Agents from Scratch
  • Harness the Power of Multi-Agent Systems for Complex Tasks
  • Deploy and Manage Agentic AI on Cloud Platforms with Robust Guardrails

Course content

7 sections62 lectures5h 7m total length
  • Introduction to Section 10:36
  • Definition and Concept5:42
  • Traditional AI vs Agentic AI4:55
  • IMPORTANT - Choosing your runtime environment1:11
  • Creating API Keys for Course Projects1:03
  • Running Notebook in Coogle Colab7:42
  • Setting local runtime environment9:00
  • Your First Agent Logic: Understanding the ReAct Framework2:33
  • LangChain Integration: Building the Agent Core8:26
  • Defining and Executing Your Agent6:07
  • Agent Expansion: Adding Tools and Capabilities to Your Agent4:35
  • Why Your Agent's Output is Different4:17
  • Resources0:15
  • Agentic AI Basic Quiz
  • Your First Agentic Workflow Idea

Requirements

  • Good to know basics of AI and machine learning (Not mandatory)
  • Good to know basics of Python programming

Description

Experience the clarity and confidence of career-building AI mastery with Aman Kumar’s “Agentic AI for Beginner” course—a guided journey designed just for you. Transform confusion into practical skills with step-by-step lessons that empower you to build, deploy, and manage autonomous agents, all explained by a mentor who’s invested in your success.

Unlock the future of artificial intelligence with Aman Kumar, a trusted leader known for transforming complex topics into clear, actionable knowledge backed by 15 years of real-world expertise. This beginner-friendly Agentic AI course is your ultimate gateway to mastering autonomous AI agents—whether you’re advancing your tech career, switching fields, or seeking hands-on skills for real projects.


  • No experience needed: We start from the basics, breaking down the core concepts of Agentic AI and its transformative potential beyond traditional AI. Learn how to build AI systems that think and act independently, with simple, clear guidance.

  • Hands-on and project-focused: Gain practical experience building single and multi-agent systems designed for real-world issues like customer service automation and investment analysis. Work with cutting-edge tools such as Langchain, Crew AI, Langgraph, Phidata and Microsoft Autogen

  • Cloud deployment included: Learn to scale your agents by deploying them on AWS and AWS Bedrock, with custom action integrations and safe AI guardrails ensuring responsible, ethical AI solutions.

  • Mentorship-driven learning: Led by Aman Kumar, a seasoned data scientist with industry experience across sectors, providing patient guidance in a cool, approachable teaching style.

  • Accessible and inclusive: Course is available in English, curated for working professionals, career changers, and skill refreshers seeking industry-aligned, time-efficient learning.

  • Community and confidence: Join thousands of learners who have trusted Unfold Data Science (Aman’s educational brand)’s-proven methods, with 95% positive feedback reflecting our commitment to clarity, quality, and genuine care.

By the end of this course, you’ll confidently understand Agentic AI principles and possess the practical skills to develop, deploy, and manage sophisticated autonomous agent projects that solve real business challenges. Enrol now to lead in the next wave of AI innovation with Aman Kumar—the mentor that makes every concept crystal clear and every learner career-ready.


Who this course is for:

  • Aspiring AI Enthusiasts and Data Scientists
  • Developers and Programmers
  • Business Professionals and Entrepreneurs
  • Students and Researchers
  • Anyone Curious About the Future of AI