Generative AI Fundamentals
Understand how generative AI works — transformers, diffusion models, LLMs, prompt engineering, and RAG. Free 8-lesson course with certificate.
What You'll Learn
- Explain how generative AI creates text, images, and audio from training data
- Identify the four main generative architectures — transformers, GANs, VAEs, and diffusion models
- Compare leading gen AI tools (ChatGPT, Claude, Gemini, Midjourney) by use case and strengths
- Apply prompt engineering techniques — zero-shot, few-shot, chain-of-thought, and role prompting
- Evaluate when to use RAG vs fine-tuning vs prompting for a given business problem
- Assess ethical risks including hallucination, deepfakes, bias, and copyright
Course Syllabus
Frequently Asked Questions
Do I need programming experience?
No. This course explains generative AI concepts and tools without requiring any coding. You'll learn to use AI tools effectively through prompting, not programming.
How is this different from the AI Fundamentals course?
AI Fundamentals covers broad AI concepts (machine learning, automation, business applications). This course dives deep into generative AI specifically — how LLMs work, image generation, prompt engineering, RAG, and the latest tools.
Will this course become outdated quickly?
The fundamentals (transformer architecture, diffusion models, prompt techniques) are stable. Tool-specific details are current as of 2026, and the principles apply regardless of which tools lead the market.
What can I do with the certificate?
Share your certificate on LinkedIn or add it to your resume to demonstrate generative AI literacy — an increasingly valued skill across industries.