@DanKornas: Stop learning applied AI from random tutorial tabs. AI Engineering Academy is an open-source learning platform for appl…

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AI Engineering Academy is an open-source learning platform that provides structured learning paths for applied AI topics like prompt engineering, RAG, LLM fine-tuning, deployment, and agents.

Stop learning applied AI from random tutorial tabs. AI Engineering Academy is an open-source learning platform for applied AI builders who want a structured path instead of scattered resources. It helps you move from fundamentals to implementation by organizing the material into tracks for prompt engineering, RAG, LLM fine-tuning, deployment, agents, and projects. Key features: • Structured learning paths – starts from fundamentals and moves into advanced applied AI topics • Prompt engineering track – includes basic prompting, advanced prompting, function calling, and hands-on notebooks • Deep RAG section – covers RAG from scratch, evaluation, observability, hybrid search, Graph RAG, Vision RAG, and CAG • LLM + deployment material – includes fine-tuning notebooks, quantization, and LLM-to-production notes • Agent and project tracks – includes agent patterns, MCP basics, multi-document agents, and YouTube clone projects It’s open-source (MIT license). Link in the reply
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Cached at: 07/06/26, 04:03 AM

Stop learning applied AI from random tutorial tabs.

AI Engineering Academy is an open-source learning platform for applied AI builders who want a structured path instead of scattered resources.

It helps you move from fundamentals to implementation by organizing the material into tracks for prompt engineering, RAG, LLM fine-tuning, deployment, agents, and projects.

Key features:

• Structured learning paths – starts from fundamentals and moves into advanced applied AI topics • Prompt engineering track – includes basic prompting, advanced prompting, function calling, and hands-on notebooks • Deep RAG section – covers RAG from scratch, evaluation, observability, hybrid search, Graph RAG, Vision RAG, and CAG • LLM + deployment material – includes fine-tuning notebooks, quantization, and LLM-to-production notes • Agent and project tracks – includes agent patterns, MCP basics, multi-document agents, and YouTube clone projects

It’s open-source (MIT license).

Link in the reply

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