[100% Off] Generative Ai Fundamentals
Master generative AI, GANs, diffusion models, LLMs, and prompting techniques — from core concepts to real-world use
What you’ll learn
- Understand core generative AI concepts — how generative models work
- key terminology
- and how they differ from traditional AI/ML approaches.,Explore major generative model types including GANs
- VAEs
- diffusion models
- and transformers
- and understand how each one generates content.,Learn how large language models generate text
- including tokenization
- context windows
- sampling
- and the strengths and limits of LLMs.,Apply practical prompting techniques (few-shot
- chain-of-thought
- role-based) and responsibly evaluate generative AI outputs and industry use cases.
Requirements
- No prior AI
- machine learning
- or programming experience is required. A basic comfort with computers and the internet is enough to get started — every concept is explained from the ground up
- so this course works well for complete beginners as well as professionals looking to formalize their understanding of generative AI.
Description
Generative AI is reshaping how we write, design, code, and solve problems — but most explanations either stay too abstract or jump straight into jargon without building real understanding. This course closes that gap.
Across 6 comprehensive practice tests and 600 carefully explained questions, you’ll build a genuinely well-rounded foundation in generative AI, starting from the ground up. You’ll begin with the core concepts and terminology that define this field, then explore the major model architectures powering today’s tools — GANs, VAEs, diffusion models, and transformers — and understand what makes each one work.
From there, you’ll dive into large language models specifically: how tokenization, context windows, and sampling shape the text these models generate, along with their genuine strengths and real limitations. You’ll then look at how generative AI is actually being applied across industries — from content creation to coding to healthcare — before turning to one of the most important parts of working with this technology responsibly: understanding its risks, limitations, and the ethical considerations every practitioner should know.
Finally, the course turns fully practical. You’ll learn how to choose the right tools, write clear and effective prompts, apply advanced techniques like few-shot prompting, chain-of-thought reasoning, and role-based prompting, and troubleshoot common issues — building the hands-on confidence to start using generative AI effectively right away.
No coding or AI background is required. Every question comes with a detailed explanation, so you’re not just testing yourself — you’re learning as you go. Whether you’re a complete beginner, a student preparing for interviews, or a professional looking to use these tools more effectively, this course gives you a solid, practical foundation in generative AI.
