From Zero → Production-Ready AI Agent
Sub Category
- Data Science
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Objectives
- Build a complete AI agent with reasoning, tools, and memory from scratch
- Implement tool usage (APIs, functions) to enable real-world agent actions
- Add memory and context handling for multi-turn, stateful interactions
- Integrate real data using RAG or external APIs for knowledge grounding
- Design and develop a web-based UI for interacting with the agent
- Apply guardrails, validation, and fail-safe mechanisms for safer AI systems
- Implement logging and monitoring to evaluate performance and behavior
- Deploy an AI agent using FastAPI with a production-ready architecture
Pre Requisites
- Basic familiarity with Python (variables, functions, simple scripts)
- Comfortable using a computer and installing software
- No prior experience with AI or machine learning required
- Willingness to learn by building hands-on projects
- A laptop/desktop with internet access
- Ability to install tools like Python, VS Code, and required libraries
- Basic understanding of APIs is helpful but not required
- Curiosity about how AI systems work in real-world applications
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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