How to Become an Azure Data Engineer: Skills, Tools and a Learning Plan
What an Azure data engineer does, the services and skills to learn, how to practise without a big bill, and where certification stands now.
Practical notes, guides, knowledge checks, and explanations on data platforms, AI systems, architecture, and career growth.
29 articles and counting — new content every few days.
What an Azure data engineer does, the services and skills to learn, how to practise without a big bill, and where certification stands now.
A practical AI engineer roadmap: the skills to learn, in order, from LLM basics and RAG to evaluation, agents and shipping a real application.
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A practical AI engineer roadmap: the skills to learn, in order, from LLM basics and RAG to evaluation, agents and shipping a real application.
The difference between a model and an AI application, what happens behind ChatGPT beyond the LLM, and why it matters for anyone learning to build with AI.
A realistic look at what AI Engineering actually means in an enterprise environment and why the model is only one part of the problem.
Quick questions and answers to test your understanding of AI Engineering concepts for interviews and masterclasses.
How to systematically measure the performance of AI systems and solve the
How to turn a Python LangGraph agent script into a production REST API with FastAPI: the minimum code, request models and how to run it.
Stop writing RegEx to parse LLM outputs. Use Structured Outputs and Tool Calling instead.
A high-level understanding of the Transformer architecture behind modern AI models.
Groq gives you fast, free LLM inference — no credit card needed. Get your key in 3 minutes so you\
A consolidated guide to obtaining API keys for OpenRouter, Together AI, and OpenAI to build versatile AI applications.
Test your understanding of advanced prompting techniques for AI interviews.
When to use which, and why the industry frequently gets it wrong when giving LLMs custom knowledge.
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