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AI Agents – The Ultimate Guide | LangGraph,CrewAI, GoogleADK

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Build AI agents with Claude Code, Codex, LangGraph, CrewAI & Google ADK through hands-on real-world projects.
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Created by Arjun Janananda
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What you'll learn

  • Build AI agents from scratch using AI coding tools such as Claude Code and OpenAI Codex.
  • Use LangGraph, CrewAI and Google’s Agent Development Kit (ADK) to build sophisticated agent systems.
  • Equip AI agents with tools, APIs and external data sources so they can interact with real-world systems.
  • Design structured agent workflows using sequential, parallel and iterative execution patterns.
  • Build multi-agent systems where specialized agents collaborate to solve complex problems.
  • Implement practical AI agent applications through hands-on projects based on real-world use cases.
  • Test, debug and improve agentic applications, while incorporating safeguards and human oversight.
This course includes:
2 total hours on-demand video
0 articles
0 downloadable resources
20 lessons
Full lifetime access
Access on mobile and TV
Certificate of completion
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Course content

Requirements

  • No prior experience in programming or building AI agents is required. We start with the fundamentals and progress step by step.
  • Basic computer skills and familiarity with using a computer are sufficient to get started.

Description

This course contains the use of artificial intelligence.

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This is a comprehensive, hands-on course designed to take you from understanding the fundamentals of AI agents to building sophisticated, real-world agentic applications.

We’re entering an era where AI agents are transforming how software is built and how work gets done. And with modern AI coding tools such as Claude Code and OpenAI Codex, building these systems is becoming more accessible than ever.

In this course, you won’t just learn the theory. You’ll get hands-on experience building actual AI agent applications.

  • Understand how LLMs work, including tokens, context windows, reasoning, temperature and hallucinations.

  • Build AI agents using modern AI coding tools such as Claude Code and Codex.

  • Work with powerful agentic frameworks including LangGraph, CrewAI and Google’s Agent Development Kit (ADK).

  • Equip agents with tools and connect them to APIs, databases, documents and external systems.

  • Implement memory, structured workflows, sequential execution, parallel processing and iterative agent loops.

  • Build multi-agent systems where specialized agents collaborate to solve complex problems.

  • Design, test, debug and improve agentic applications with appropriate safeguards and human oversight.

Learn by building real projects

Throughout the course, we’ll move beyond isolated examples and build practical applications that demonstrate how these technologies come together.

You’ll get hands-on experience creating agent systems that can analyse information, coordinate specialized agents, interact with external services, and work towards accomplishing real-world goals.

We’ll progressively explore different architectures, frameworks and techniques, helping you understand not just how to build an agent, but how to choose the right approach for the problem you’re solving.

Who should take this course?

Whether you’re a software developer looking to expand your skills, an entrepreneur interested in building AI-powered products, a business professional exploring automation, or someone fascinated by the future of AI, this course will give you the practical knowledge to start building AI agents.

You don’t need to be an experienced AI engineer to get started. We’ll walk through the fundamentals and build up your understanding step by step.

Who this course is for:

  • Aspiring AI engineers and developers who want to learn how to build AI agents and multi-agent systems.
  • Software developers who want to move beyond traditional application development and build AI-powered applications.
  • Entrepreneurs and startup founders who want to turn their ideas into AI agent products and automate business processes.
  • Business professionals and consultants interested in using AI agents to improve productivity and automate workflows.
  • tTechnology enthusiasts who want practical, hands-on experience building AI agents using modern AI coding tools.
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