Design agents that learn from experience, evolve skills, and improve continuously without retraining models
Sub Category
- Data Science
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Objectives
- Design and build self-evolving AI agents that learn from experience without retraining models
- Implement the Memento-Skills architecture (memory-driven, skill-based intelligence systems)
- Create and manage a reusable AI skill library (prompt + workflow + logic design)
- Build a hybrid skill retrieval and routing engine using vector search, keyword search, and reranking
- Develop multi-step agent workflows using Planner → Executor → Validator patterns
- Implement LLM-as-a-judge evaluation systems to assess and improve agent outputs
- Design reflection and feedback loops for continuous agent learning and improvement
- Build a skill evolution engine that rewrites or creates new skills dynamically
- Apply guardrails, validation, and rollback strategies to prevent regression in evolving systems
- Deploy a production-grade agent system with logging, memory, and performance tracking
Pre Requisites
- Basic familiarity with Python programming (functions, APIs, simple scripts)
- Understanding of AI/LLM fundamentals (what models do, prompting basics)
- Comfortable using a computer for development (installing tools, running code)
- Access to a laptop/desktop with internet connection (8GB+ RAM recommended)
- Willingness to learn hands-on through building projects (not just theory)
- No prior experience with agent frameworks required (you’ll learn step-by-step)
- Optional: familiarity with tools like APIs, JSON, or Git can be helpful but not mandatory
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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