About
The "Complete Guide to AI Agents" course is designed to provide participants with a comprehensive understanding of AI agents, their evolution, and their applications. This course is ideal for AI enthusiasts, data scientists, and machine learning engineers who want to explore the intricacies of AI agents and learn how to build and deploy compound AI systems. By the end of this course, participants will be well-equipped to design, build, and deploy AI agents and compound AI systems. They will also be prepared to tackle the ethical and practical challenges associated with AI development, ensuring responsible and effective use of AI technologies. Table of Contents Chapter 1: Introduction to AI Agents Chapter 2: The Evolution of AI Models Chapter 3: Monolithic AI Models Chapter 4: The Need for Compound AI Systems Chapter 5: Building Blocks of Compound AI Systems Chapter 6: Multi-Agent Systems Chapter 7: Distributed AI Chapter 8: Hybrid AI Models Chapter 9: Reinforcement Learning in Compound Systems Chapter 10: Natural Language Processing in Compound AI Chapter 11: Computer Vision and Perception Chapter 12: Ethical Considerations Chapter 13: Security and Privacy Chapter 14: Real-World Applications Chapter 15: Case Studies of Successful Compound AI Systems Chapter 16: Future Trends in AI Development Chapter 17: Challenges and Opportunities Chapter 18: Building Your Own Compound AI System Chapter 19: The Role of AI in Shaping the Future Chapter 20: Conclusion and Future Directions