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Large Language Models3 min read

Introducing Our 8-Hour Generative AI Primer

An introduction to an 8-hour generative AI primer built to help learners understand models, prompting, and practical use cases.

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8-hour Generative AI Primer for Software Professionals

Introducing Our 8-Hour Generative AI Primer
Contents

Key takeaways

  • A good generative AI primer should connect the basics to real use cases instead of only listing tools.
  • Learners need enough model intuition to understand prompting, limitations, and when outputs need checking.
  • The goal is to build confidence with the workflow before moving into more advanced LLM development.

Once again, I’m super excited to share some news from the Towards AI team—we’ve just launched a brand-new 8-hour Generative AI Primer designed to help developers master, use, and build with Large Language Models (LLMs).

This new offer is a programming language-agnostic on-ramp to everything LLM: from how ChatGPT can boost your day-to-day productivity to how you can start developing custom AI solutions.

Why did we build this course? Over the last few years, I’ve seen a huge gap between AI theory and real-world application—especially in the fast-moving LLM space. We wanted a course that cuts through the noise, equips you with practical know-how, and gets you actually using and building with LLMs in no time. That’s why this new 8-hour primer focuses on giving you the core LLM developer toolkit, from prompt engineering and retrieval-augmented generation to the basics of fine-tuning. Plus, we’ll show you how to integrate these models into your workflow and build no-code or low-code prototypes.

Don’t you have the “From Beginner to Advanced LLM Developer” course for that? No. This new offer is an 8-hour (one day) applied crash course with tons of practice and information to bring any developer up-to-speed with the current LLM systems (not a code where you’ll code a lot, but you’ll still build and do projects, and learn a lot!). In contrast, the advanced LLM developer course is built for Python developers to give them a super practical way to become an expert LLM developer in 50-80 hours. We could say this new offer is a prequel.

So.. what’s inside?

Visual example from Introducing Our 8 Hour Generative AI Primer

- Tons of Hands-On Exercises & Demos – Get comfortable with ChatGPT, Claude, and better understand LangChain, LlamaIndex, Hugging Face…

- Real-World Examples – See how LLMs can transform industries, whether you’re in education, software development, finance, or beyond.

- Understand how to compare and select models, integrate them with your projects, and responsibly use AI.

- Support & Community – You’ll join our incredible community of 70,000+ learners, with instructors and mentors ready to help you every step of the way.

- Get a certification and lifetime mentorship from other certified students and the Towards AI team.

More info on the course page and course video:

No specialized background is needed—just your willingness to learn. Following our goal, this is a practical course. You will be doing exercises, have quizzes and build things. If you are not willing to “sweat a little” to learn, this course is not for you. If you’re still on the fence, you can preview the first few lessons for free, by the way.

Visual example from Introducing Our 8 Hour Generative AI Primer

Start our “8-hour Generative AI Primer for Software Professionals” course now: https://academy.towardsai.net/courses/8-hour-genai-primer?ref=1f9b29

If you have any questions, feel free to comment or DM me. I’m here to help you figure out if this course is the right fit. :)

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Want the practical side of AI, without the hype fog?

I share the useful parts on YouTube, Substack, and the AI engineering guides.

FAQ

Who is the generative AI primer for?

It is for learners who want a structured entry point into generative AI before taking on deeper technical projects.

What should a beginner learn first?

Start with what models generate, how prompts shape outputs, where hallucinations come from, and how to test results.

What should generative AI beginners avoid?

Avoid jumping between tools without understanding the basic workflow. The foundations make the tools much easier to judge.

How is the primer different from the advanced LLM course?

The primer is an eight-hour, language-agnostic on-ramp; the advanced course is a longer practical path for Python developers.

Will learners build anything during the primer?

Yes. It includes applied exercises and projects without turning the day into an intensive coding course.