21 Lessons, Get Started Building with Generative AI
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18 Lessons to Get Started Building AI Agents
- agentic-ai
- agentic-framework
- agentic-rag
- ai-agents
Learn how to develop, deploy and iterate on production-grade ML applications.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
- csharp
- java
- javascript
- mcp
Public facing notes page
YSDA course in Natural Language Processing
Repo for the Complete Agentic AI Engineering Course
Repo for the Deep Reinforcement Learning Nanodegree program
- deep-reinforcement-learning
- reinforcement-learning
- reinforcement-learning-algorithms
- neural-networks
Materials for GWU DNSC 6279 and DNSC 6290.
- data-science
- data-mining
- data-visualization
- machine-learning