adithya-s-k/AI-Engineering.academy resource

Health v2 · maintenance only

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2377 stars · 277 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

AI Engineering Academy is an open-source educational resource offering structured learning paths for applied AI, covering prompt engineering, RAG, LLM fine-tuning, deployment, and AI agents. It provides hands-on Jupyter notebook projects and curated curricula for mastering production-ready AI engineering skills.

Use cases

• learn how to fine-tune large language models
• understand RAG architecture and build retrieval-augmented systems
• study prompt engineering techniques and best practices
• learn to deploy and scale LLM applications in production
• build autonomous AI agents with tool integration
• find hands-on AI engineering projects for a portfolio

When to choose

• you want a structured, project-based curriculum for applied AI and LLM engineering
• you prefer learning through Jupyter notebooks with real implementations
• you need curated learning paths covering the full LLM lifecycle from prompting to deployment

When to avoid

• you need production software or a library to integrate into an application
• you want a formal accredited course with instructor support
• you are looking for non-LLM machine learning topics like classical ML or computer vision

Facets

learning-resource · maturity active

llm-training llm-inference rag prompt-engineering agent-framework large-language-models artificial-intelligence tutorials machine-learning python cross-platform jupyter-notebooks fine-tuning quantization structured-curriculum hands-on-projects

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markdown · JSON · MCP: product_card(name="adithya-s-k/AI-Engineering.academy")