To get the most out of this book
Following along will be a bit easier if you have the following:
- Familiarity with AI and machine learning concepts: While the book covers foundational principles, prior knowledge of AI/ML, deep learning, and Python programming will help you understand the more advanced topics.
- Hands-on practice: Experiment with the provided code examples and frameworks for building Generative AI and agentic systems. Setting up a local or cloud-based development environment will enhance your learning experience.
- Think critically about AI ethics and safety: As you explore Generative AI and autonomous agents, consider the implications of trust, bias, and responsible AI design to build intelligent systems that align with ethical guidelines.
Software/hardware covered in the book |
Operating system requirements |
Python, Jupyter Notebooks, and CrewAI |
Windows, macOS, Linux |