Building AI Applications with Large Language Models

Ready to move beyond using AI tools and start building your own? This course provides a practical, text-based introduction to developing applications powered by Large Language Models (LLMs), guiding you from core concepts to functional projects. You'll gain the foundational knowledge to design and construct AI systems that can understand context, retrieve information, and perform tasks. This course demystifies the technology behind modern AI, giving you the skills to create your own intelligent applications from the ground up. What you'll learn: - Understand the core concepts of LLMs, text embeddings, and vector databases. - Practice effective prompt engineering techniques to reliably control model behavior and output. - Build applications using the Retrieval-Augmented Generation (RAG) pattern to answer questions based on custom data. - Learn the fundamentals of fine-tuning to adapt pre-trained models for specialized tasks. - Create autonomous AI agents that can use tools and make decisions to accomplish complex goals. - Apply popular frameworks like LangChain and libraries from Hugging Face to streamline your development process. - Configure basic user interfaces to interact with your AI applications. The curriculum begins with essential terminology and the principles of LLM operation, then moves into practical written exercises where you'll apply these concepts to build increasingly sophisticated systems. This course is designed for absolute beginners. No prior experience with AI or machine learning is necessary, though a basic familiarity with Python programming will be beneficial. Start learning to build the next generation of AI applications today.