Module 1: AI Agents
Welcome to the comprehensive guide on AI Agents. This module covers everything from the foundational concepts to advanced implementation patterns and real-world applications.
What You'll Learn
In this module, you'll discover:
- The evolution of software from static code to autonomous agents
- Core concepts that differentiate AI agents from traditional chatbots
- Practical implementation using frameworks like LangChain and n8n
- Design patterns for building robust, scalable agent systems
- Human-AI collaboration principles and best practices
Module Structure
Chapter 1: Foundations
Understand what AI agents are, how they differ from LLMs, and their core components.
Chapter 2: Evolution of Software
Explore the journey from Software v1.0 to v3.0 (AI Agents) and the paradigm shifts.
Chapter 3: Agent Types & Patterns
Learn about different types of agents, design patterns, and architectural approaches.
Chapter 4: Human-AI Collaboration
Discover the importance of human oversight and the future of work with AI.
Chapter 5: AI Frameworks Evolution
Understand how AI frameworks are evolving to support agentic systems.
Key Concepts Covered
- Agent Architecture: Perception, reasoning, memory, tools, and execution
- Agentic vs Generative AI: Understanding the fundamental differences
- Multi-Agent Systems: Coordination and collaboration patterns
- Tool Integration: Function calling and external service orchestration
- Memory Management: Short-term and long-term context retention
- Planning & Reasoning: Goal-oriented behavior and decision making
Prerequisites
Basic understanding of:
- Programming concepts
- APIs and web services
- Machine learning fundamentals (helpful but not required)
Learning Path
- Start with Chapter 1: Foundations to build core understanding
- Progress through Chapter 2: Evolution to see the bigger picture
- Dive into Chapter 3: Types & Patterns for practical knowledge
- Learn collaboration principles in Chapter 4: Human-AI
- Explore the ecosystem in Chapter 5: Frameworks Evolution
Ready to dive in? Let's start with the foundations of AI agents!