795 tutorials · free to read

A working handbook for data and software engineering.

Hands-on tutorials by Alex Merced on Apache Iceberg, the data lakehouse, pipelines, agentic AI, and the languages and tools that hold it all together.

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  1. 01A Journey from AI to LLMs and MCP - 10 - Sampling and Prompts in MCP – Making Agent Workflows Smarter and SaferSampling and Prompts in MCP : Making Agent Workflows Smarter and Safer
  2. 02A Journey from AI to LLMs and MCP - 9 - Tools in MCP – Giving LLMs the Power to ActTools in MCP : Giving LLMs the Power to Act
  3. 03A Journey from AI to LLMs and MCP - 8 - Resources in MCP – Serving Relevant Data Securely to LLMsResources in MCP : Serving Relevant Data Securely to LLMs
  4. 04A Journey from AI to LLMs and MCP - 7 - Under the Hood – The Architecture of MCP and Its Core ComponentsUnder the Hood : The Architecture of MCP and Its Core Components
  5. 05Journey from AI to LLMs and MCP - 6 - Enter the Model Context Protocol (MCP) – The Interoperability Layer for AI AgentsEnter the Model Context Protocol (MCP) : The Interoperability Layer for AI Agents
  6. 06A Journey from AI to LLMs and MCP - 5 - AI Agent Frameworks – Benefits and LimitationsAI Agent Frameworks : Benefits and Limitations