Beginner Friendly PPTs for understanding key Generative AI topics
The internet is flooded with AI content right now, and most of it falls into two buckets. Either it’s written like a research paper, packed with equations and code, or it’s clearly auto-generated fluff stretched into twenty-minute YouTube videos that should have been three.
So I made something that doesn’t waste your time.
Generative AI for Beginners (Visual Illustrations)
Generative AI for Beginners is a course built entirely around visual explanations. Not videos, not ChatGPT reworded blog posts, not another Substack thread talking in circles. Just crisp, focused slide decks that explain the core concepts of Generative AI in a way that actually lands.
Who should read this
If you’re curious about AI but tired of being patronized or buried under buzzwords, this is for you.
This course is made for:
- Product managers, designers, founders, marketers.
- Students trying to get a head start.
- Developers who want a mental model before jumping into code
- Team leads onboarding folks into AI-related projects
- Anyone who wants a shortcut to actually understanding what GenAI does, without sitting through another bloated webinar
Why you should read this
Because the existing stuff out there is either too slow, too shallow, or too synthetic. But this is different
- Visual, not verbose
- Structured, not stream-of-consciousness
- Human-made, not AI-generated
What’s inside
There are 9 visual decks, each one explaining a core idea. No voiceovers, no transitions, no video pauses. Just open the slides and scroll through the visuals at your own pace.
Here’s what you’ll get:
- Basic Generative AI :What it means when we say machines can generate, and how that applies across text, image, and audio.
- LLMs:How Large Language Models are trained, why they work the way they do, and where the magic (and limits) really lie.
- Prompt Engineering :Not hacks, but structured patterns that lead to better outputs.
- Fine-Tuning LLMs :How to teach models your own data without rebuilding them from scratch.
- RAG:Retrieval-Augmented Generation, explained simply and visually.
- Agents :How LLMs can be set up to plan, reason, and take action, beyond just chatting.
- Hallucinations :Why language models sometimes invent things, and how to reduce the risk.
- LLM Evaluation :How to measure performance when correctness is fuzzy.
- Miscellaneous :Smaller lessons, common confusions, and overlooked details.
How it’s different from the usual AI courses
You won’t find:
Hour-long video modules with 5 minutes of content
Generic voiceovers reading bullet points
PDFs written entirely by an LLM
Slides filled with clipart and catchphrases
You will find:
Clean visuals that explain real concepts
No fluff, no filler
A tone that assumes you’re smart and busy
If that sounds like what you’ve been waiting for, you can check it out here:
Generative AI for Beginners (Visual Illustrations)
If you’ve already sat through too many AI explainers that felt like they were wasting your time, this might finally be the one that doesn’t.
Hope this is useful
Generative AI for Beginners (Visual Course) was originally published in Data Science in Your Pocket on Medium, where people are continuing the conversation by highlighting and responding to this story.
