Generative AI Foundations in Python
Discover key techniques and navigate modern challenges in LLMs
Created by Carlos Rodriguez
Explore the core principles of generative AI and learn how to apply large language models and diffusion models using Python. Build a solid understanding of how these models work and discover practical ways to use them in real-world applications. Develop the confidence to implement, fine-tune, and evaluate generative AI solutions responsibly.
Packt | Jul 2024 | 190 min
What You Will Learn
You will start by exploring the foundations of generative AI and large language models, then move on to hands-on projects using Python. By working through practical examples, you will gain experience in fine-tuning models, prompt engineering, and evaluating results. Ethical considerations and best practices are woven throughout to help you build responsible AI solutions.
Key Features
- Master prompt engineering, LLM fine-tuning, and domain adaptation for real projects
- Apply transformers and diffusion models to build effective AI-powered applications
- Learn to optimize model performance and address ethical challenges in AI systems
Target Audience
Designed for developers, data scientists, and machine learning engineers with a working knowledge of Python and basic machine learning concepts. If you want to deepen your understanding of generative AI and confidently apply LLMs in your own projects, this course will help you build those skills and stay up to date with the latest techniques.
