Tutorials
Hand-picked courses, books and videos I recommend for learning modern data and AI.
posts
-
Recommended Short Course: MCP: Build Rich-Context AI Apps with Anthropic (DeepLearning.AI)
The Model Context Protocol is becoming the standard way to connect AI agents to tools and data. This hands-on DeepLearning.AI short course is the clearest introduction I’ve found.
-
Recommended YouTube Channel: Guy in a Cube for Power BI and Microsoft Fabric
For practical, up-to-date Power BI and Fabric know-how, Guy in a Cube is the YouTube channel I keep coming back to, and its getting-started playlist is a great entry point.
-
Recommended Book: Fundamentals of Data Engineering by Joe Reis and Matt Housley (O’Reilly)
Tools change every year; good data engineering thinking doesn’t. This O’Reilly book is the vendor-neutral foundation I recommend to every new data engineer.
-
Recommended Course: Azure Databricks & Spark for Data Engineers by Ramesh Retnasamy (Udemy)
A hands-on Udemy course that builds a full Formula 1 lakehouse project on Azure Databricks, with Unity Catalog, Delta Lake and the medallion architecture.
-
Recommended Course: Implement Analytics Solutions Using Microsoft Fabric (DP-600T00) on Microsoft Learn
If you want a structured route into Microsoft Fabric analytics, Microsoft’s own DP-600T00 course and its self-paced learning paths are where I’d start.
B
Bipin | Data AI Architect
Insights on modern data & AI from a Data & AI Architect with 25+ years building enterprise data platforms, lakehouses and AI solutions.
Featured Posts
Explore Categories
AI & Agents (2) Databricks (1) Microsoft Fabric (3) Modern Data Platforms (2) Tips (5) Tutorials (5)
Have a Question?
Curious about Fabric, Databricks or AI agents? I’m happy to share what I’ve learned.