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MIT and Oxford University have jointly released a set of Agent artificial intelligence tutorial resources on GitHub, with a total course value of approximately $2,500. This learning system includes 10 in-depth reading materials and 12 video lectures, covering the complete pathway from fundamental concepts to practical applications.
The core modules of the course include: the essential definition of AI Agents and how they differ from traditional conversational AI; four different architectural types of Agentic systems, with comparative analysis from low to high autonomy levels to help you understand the applicable scenarios for each approach; and strategies for deploying and optimizing Agents in real-world projects.
For those interested in gaining a deeper understanding of AI autonomous agent technology, this resource offers valuable insights whether you're a beginner or looking to advance. You can access top university teaching content for free, making it a must-collect for developers and researchers interested in Agent technology.