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Agentic Learning Resources

Explore the best free courses and resources to master agentic AI, agentic systems, and their applications in enterprise and beyond.

Foundations: Python, AI, and Prompting

Overview

Start here if you're new to programming, AI, or LLMs. This stage will help you build the essential skills needed for agentic AI: Python programming, basic AI/ML concepts, and prompt engineering for LLMs.

Learning Goals

  • Write and understand basic Python code
  • Grasp core AI and machine learning concepts
  • Understand how to interact with LLMs and craft effective prompts

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Beginner: Understand the Basics

Overview

Start here if you know Python and basic AI concepts, but are new to agentic AI. This stage introduces the core ideas behind agentic AI and how it differs from traditional AI approaches, focusing on autonomy, planning, and tool use.

Learning Goals

  • Understand what agentic AI is and why it matters
  • Learn about autonomy, planning, tool use, and multi-agent systems
  • Explore practical applications and real-world examples of agentic systems

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Intermediate: Build and Experiment

Overview

Start here if you understand agentic AI concepts and want to build simple agents. This stage is about hands-on learning: designing, building, and deploying agentic systems using popular frameworks.

Learning Goals

  • Design and implement simple agentic systems
  • Apply agentic design patterns to solve real-world problems
  • Gain practical experience with hands-on projects and use cases
  • Understand basic agent frameworks like LangChain or AutoGen

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Advanced: Master and Innovate

Overview

Start here if you want to go deep into frameworks, orchestration, and contribute to the field. This stage is for those ready to master advanced frameworks, multi-agent orchestration, and contribute to the agentic AI community through research and open-source projects.

Learning Goals

  • Master advanced agentic frameworks and complex orchestration techniques
  • Contribute to open-source projects and the agentic AI community
  • Stay updated with the latest trends, research papers, and ethical considerations
  • Design and evaluate sophisticated multi-agent systems

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Agentic Protocols & Interoperability

Overview

Agentic protocols enable seamless communication and collaboration between agents, models, and cloud services. Understanding these protocols is essential for building scalable, interoperable, and future-proof agentic systems.

Learning Goals

  • Understand the purpose and architecture of agentic protocols (A2A, MCP, A2C)
  • Learn how to implement and leverage these protocols for interoperability
  • Gain hands-on experience with protocol specifications and server implementations

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