A focused, practical dive into generative AI — how LLMs and diffusion models actually work, the current tool landscape, prompt engineering techniques, RAG, and how to build with and responsibly govern generative AI.
Skills covered
Generative AILarge Language ModelsDiffusion ModelsPrompt EngineeringRAGAI Ethics
What you'll learn
Explain how generative AI differs from predictive AI
Describe how LLMs and diffusion models work at a conceptual level
Navigate the current generative AI tool landscape across text, image, audio, and code
Apply prompt engineering fundamentals and advanced techniques
Understand Retrieval-Augmented Generation and why it reduces hallucination
Compare fine-tuning, prompting, and RAG and know when to use each
Understand how generative AI APIs are used to build applications
Apply ethical and responsible-use practices around generative AI