My Data Guest, Reordered
Four Learning Journeys for You
We have explored a number of topics and invited a number of speakers so far on the My Data Guest podcast. Some episodes explored the technical side of the new AI wave: agentic AI, the architecture of large language models, how to build an AI agent, fine-tuning. Others explored the business opportunities created by AI: use cases, enterprise adoption, AI-native startups. And finally, to introduce a well-deserved break in all that serious content, we went behind the scenes, discussed the parallel between Asimov’s robots and modern AI applications, and produced a brief history of AI.
All this content is, of course, chaotic and unordered. That is just how the podcast world works: scheduling depends on speakers’ and hosts’ availability, not on any educational plan. But do not worry. This article is here to put some order into all that random information, for a smoother learning experience.
From Random to Roadmap
We went back through all the episodes, learning bites, bonus episodes, and companion articles published so far, and organised them into three distinct learning journeys. Each has a clear starting point, a logical progression, and a destination. You can follow one, all three, or jump in wherever you feel the need to learn.
Journey # 1 - LLM Basics & Fine-Tuning: Understanding the Technology
Journey # 2 - Agentic AI: AI Agents and How to Build Them
Journey # 3 - AI for Business: from Awareness to Entrepreneurship
Journey # 4 - Community & Bonus: A Journey on the Community Content
