Build autonomous agents, advanced RAG systems, MCP servers, browser agents, and production-ready AI platforms.
Sub Category
- Data Science
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Objectives
- Build autonomous AI agents capable of planning, reasoning, memory management, and tool execution.
- Design and implement advanced RAG systems using hybrid retrieval, knowledge graphs, and agentic workflows.
- Develop MCP servers that connect AI systems to databases, APIs, tools, and enterprise resources.
- Create browser agents that navigate websites, automate workflows, and perform real-world tasks.
- Architect and orchestrate multi-agent systems using LangGraph and modern agent communication patterns.
- Build multimodal AI applications that combine text, images, documents, and voice interactions.
- Implement AI evaluation, observability, monitoring, and governance practices for production systems.
- Develop portfolio-ready AI applications using Python, FastAPI, vector databases, and modern AI frameworks.
- Understand enterprise AI architecture patterns used in advanced AI products and platforms.
- Gain hands-on experience building seven complete AI systems from scratch.
Pre Requisites
- Intermediate Python programming experience.
- Basic understanding of APIs and JSON.
- Familiarity with command-line tools and package management.
- Prior exposure to AI, machine learning, or LLM applications is recommended.
- A computer capable of running modern AI development tools.
- Internet access for installing libraries and development frameworks.
- Curiosity and willingness to build complex systems through hands-on projects.
- No prior experience with agents, RAG, MCP, or LangGraph is required.
- No advanced mathematics or machine learning background is necessary.
- All projects are built step-by-step throughout the course.
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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