ai summer
This summer will be my AI summer.
The world had its AI winters, due to research reaching certain limitations causing plateaus in progress. I had mine, generated by my lack of hands-on diving into playing with the latest developments as I was absorbed by my job.
However, my AI summer might have come as I find myself between jobs. Having strong machine learning experience and having led teams delivering advanced AI projects should give me the foundation to build upon and quickly catch up with what I missed.
I have an ambitious programme that should give me an opportunity to go deep enough and practise those skills.
First, I want to resume my progress with Raschka, S. (2025) Build a large language model. Shelter Island, NY: Manning Publications. The book is excellent as it takes you by the hand and brings you to building an LLM from scratch.
Second, I started to go through the Hugging Face MCP Course. It builds on the Anthropic Model Context Protocol (MCP) documentation. It elaborates on the principles before diving into practical implementations.
Finally, I want to work on the IBM RAG and Agentic AI Professional Certificate available on Coursera. I had some doubts about going for one of the Amazon ML Engineer or AI Practitioner certifications and I might come back to them later. However, I liked the practical LangChain content of the IBM course.
Aggressive plan? Yes. But this is my AI summer!
Herve Schnegg
... solving business problems with data
