18 Lessons to Get Started Building AI Agents
- agentic-ai
- agentic-framework
- agentic-rag
- ai-agents
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18 Lessons to Get Started Building AI Agents
Learn how to develop, deploy and iterate on production-grade ML applications.
Anthropic's Interactive Prompt Engineering Tutorial
Neural Networks: Zero to Hero
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
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.
12 Weeks, 24 Lessons, IoT for All!
Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort
Learn ML engineering for free in 4 months! Register here 👇🏼
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
A course in reinforcement learning in the wild
Introduction to Statistics using Python
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
Cyber Defence Monitoring Course Suite :: Suricata, Arkime (and others in the past)
Exercises for the lecture "Selected Topics in Audio Signal Processing"