Generative AI for Python: Build with Modern AI Tools

Generative AI is transforming how developers build applications, offering powerful new ways to automate tasks, generate content, and enhance user experiences. Discover how to leverage these cutting-edge capabilities to elevate your Python projects. This course provides a foundational understanding of generative AI concepts and equips you with the practical skills to apply these tools directly within your Python development workflow. You will learn to effectively use large language models and code generation assistants, enabling you to build smarter, more efficient applications.<ul><li>Understand the core concepts of generative AI and large language models (LLMs).</li><li>Apply prompt engineering techniques to interact effectively with generative AI models.</li><li>Integrate generative text and code completion capabilities into Python applications.</li><li>Utilize AI-powered code assistants like GitHub Copilot to accelerate development.</li><li>Implement basic patterns for retrieval-augmented generation (RAG) to enhance AI responses.</li><li>Explore ethical considerations and best practices when developing with generative AI.</li></ul>The course begins with essential terminology and principles of generative AI, then progresses to hands-on application through practical examples and exercises using Python and popular AI tools. This course is designed for beginner Python developers who want to understand and apply generative AI in their work, with no prior AI experience required. Start building the future of Python applications with generative AI today.