Open Source AI with Python and Hugging Face

Ready to move beyond off-the-shelf AI services and craft your own intelligent applications? This course provides the foundational knowledge to build custom AI solutions using leading open-source tools. By the end of this course, you will possess the practical skills to leverage open-source AI tools, specifically Python and the Hugging Face ecosystem, to develop, fine-tune, and deploy AI models tailored to your specific needs, including sophisticated natural language processing and creative image generation tasks. What you'll learn: * Understand the fundamental principles of open-source AI, large language models, and diffusion models. * Configure robust Python development environments for AI projects, including modern dependency management. * Utilize the Hugging Face ecosystem to load, use, and customize pre-trained models for various tasks. * Apply techniques for fine-tuning language models and generating creative content with diffusion models like Stable Diffusion. * Implement basic retrieval-augmented generation (RAG) patterns for enhanced model performance. * Practice evaluating model outputs and addressing ethical considerations in AI application development. The course begins with essential AI terminology and foundational concepts before guiding you through practical Python implementations, model customization, and advanced generative techniques. This course is designed for beginners with basic Python programming knowledge who are eager to explore and build their own AI applications using open-source tools. No prior AI or machine learning experience is required. Start building your own intelligent systems today.