AI Systems - Foundation Track¶
⏱️ Estimated reading time: 3 minutes
This track covers the theoretical underpinnings of agentic systems, providing you with the conceptual foundation needed to understand and design intelligent agents. These principles form the basis for working with modern frameworks like Pydantic AI, OpenAI Swarm, and enterprise platforms covered in our Modern AI Frameworks track.
Table of Contents¶
| Chapter | Title | Description |
|---|---|---|
| Chapter 1 | Generative AI Fundamentals | Core principles, models, and applications |
| Chapter 2 | Agentic System Principles | Understanding agency and system design |
| Chapter 3 | Intelligent Agent Components | Perception, memory, reasoning, and action |
| Chapter 4 | Reflection & Introspection | Meta-cognitive capabilities and self-improvement |
| Chapter 5 | Tool Use & Planning | Integration of external tools and planning |
| Chapter 6 | Multi-Agent Coordination | Coordination patterns and architectures |
| Chapter 7 | System Design Techniques | Best practices for robust agent systems |
| Chapter 8 | Building Trust & Safety | Transparency and trust-building strategies |
| Chapter 9 | Ethics & Considerations | Safety frameworks and ethical AI development |
| Chapter 10 | Use Cases & Applications | Real-world applications and case studies |
| Chapter 11 | Future Outlook | Future directions in agentic AI |
Learning Path¶
Start with Chapter 1 to build foundational knowledge of generative AI, then progress through each chapter sequentially. Each chapter builds upon concepts from previous chapters while introducing new theoretical frameworks and design principles.
Prerequisites¶
- Basic understanding of machine learning concepts
- Familiarity with artificial intelligence fundamentals
- Programming experience (helpful but not required for theoretical understanding)
What's Next?¶
After completing the AI Systems foundation track, you can:
- Apply these concepts practically in Agent Development with LangChain and LangGraph
- Explore cutting-edge implementations in Modern AI Frameworks with Pydantic AI, MCP, and autonomous agents
- Learn strategic implementation in AI Strategies for organizational transformation
Ready to begin? Start with Chapter 1: Fundamentals of Generative AI →