1️⃣ Fresh series on Python and AI by Microsoft
• Content: Includes 9 lectures supplemented with videos, detailed presentations, and code examples. series - training in AI agent development - accessible, clearly written, even for programming beginners.
• Topics: cover topics such as RAG (Retrieval-Augmented Generation), embeddings, agents, and the MCP protocol.
👉 Course
2️⃣ Ready-made guide to train & host LLM from scratch by HuggingFace
– Architectures, their features, and hyperparameter optimization
– Working with data
– Pretraining and the pitfalls involved
– Post-training: all modern approaches and how to apply them
– Infrastructure, how to build and optimize it properly
Guide with 200+ pages, 7 big chapters, read + lots of diagrams and examples with Simple English.
3️⃣ Database sharding guide from PlanetScale
Learn how to scale databases through sharding - splitting data across servers to increase performance and fault tolerance.
• Sharding is needed when a single database can no longer handle the load.
• There are two popular approaches — range-based and hash-based.
• It is important to choose a stable key (e.g., user_id) and avoid cross-shard queries.
• A proxy layer slightly increases latency but provides scalability.
Excellent material if you want to understand how systems at YouTube scale. And here is a lot of SQL basics Read
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