It’s easy to feel lost in the world of Generative AI and LLMs. With new models, frameworks, and tools popping up every day, you could spend a lifetime just reading articles and tutorials. But the fastest way to truly master this space isn’t by passively consuming information. It’s by building. So, in this article, I’ll take you through a curated list of 12 guided projects to learn GenAI & LLMs the practical way.
12 Projects to Learn GenAI & LLMs The Practical Way
Below is my curated list of 12 guided projects to learn about GenAI & LLMs practically.
Projects for Getting the Basics Right
These projects are your first steps; they will help you understand the core mechanics of how these models work and how to interact with them effectively:
- Building a Rag Pipeline for LLMs
- Fine-tuning LLMs on Your Own Data
- Building an AI Agent using OpenAI API
- Building an LLM from Scratch
Projects to Move Beyond Text
Generative AI isn’t just about text. These projects let you explore the artistic and scientific side of AI, from generating images to creating realistic data:
- AI Image Generation using Diffusion Models
- Building a Multimodal AI Model
- Building Synthetic Medical Records
- Generative AI Model From Scratch to Generate Images
Projects to Scale Up and Think Differently
These projects will challenge you to think like a professional MLOps engineer and researcher:
- Building a Multi-Agent System using Gemini API
- Building AI Agents with CrewAI
- Building a Diffusion Model From Scratch
- Data Augmentation using LLMs
Final Words
The journey to becoming a GenAI master is to build, not just read. This list is your blueprint. Don’t feel pressured to do them all at once. Start with the one that excites you most, and let your curiosity be your guide. I hope you liked this article on a curated list of 12 guided projects to learn GenAI & LLMs the practical way. Feel free to ask valuable questions in the comments section below. You can follow me on Instagram for many more resources.
