Welcome to my resources hub! This is the place where I’ll keep a running list of tools, links, and courses that I’ve personally found valuable on my AI upskill quest. I’ll be updating it regularly, so whether you’re following along with the tutorials here or just looking for high-quality materials to sharpen your own skills, you’ll always have a curated set of resources at your fingertips.
If you’re just stumbling across this blog and need a place to start, you can start your journey by setting up your local environment. Depending on your platform, you can follow the macOS version (Jupyter Notebook Setup on Mac (Apple Silicon) for Hugging Face, OpenAI, Claude & Gemini) or the Windows version (pending).
Repositories
- AI Upskill Quest repo – All of the code, example notebooks, and supporting files for this blog live in a dedicated GitHub repo. Most of the tutorials you’ll find here reference files directly from that repo, so I recommend cloning it locally before you dive in. That way, you’ll have everything you need at your fingertips to follow along, experiment, and tweak the examples as you go.
AI Courses
- LLM Engineering: Master AI, Large Language Models & Agents (Udemy) – An excellent intro-to-mid-level course by Ed Donner that covers a wide range of topics. It’s hands-on, packed with practical examples, and manages to stay engaging throughout. While it starts at a beginner-friendly pace, the material quickly deepens as you progress – making it a fantastic resource if you’re serious about leveling up your AI skills. Highly recommended.