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AI-Engineering.academy is a community-driven educational repository that organizes practical knowledge and learning paths for applied AI engineering. The project aims to make complex AI concepts accessible by structuring them into progressive learning modules covering topics such as prompt engineering, retrieval-augmented generation, LLM deployment, and AI agents. Rather than focusing purely on theoretical explanations, the repository emphasizes hands-on understanding of how modern AI systems are designed, built, and deployed in real-world applications. It aggregates tutorials, conceptual explanations, diagrams, and example workflows that guide learners through the process of creating AI-powered products. The project serves both beginners entering the field and experienced developers seeking structured resources for building production-grade AI systems.
Features
- Structured learning paths for applied AI engineering topics
- Educational resources covering LLMs, RAG, agents, and deployment
- Hands-on tutorials and conceptual explanations
- Organized knowledge base for modern AI development workflows
- Beginner-to-advanced progression for AI practitioners
- Curated materials focused on practical AI system design
Project Samples
