Build real AI systems, LLM apps, RAG, agents & deploy on AWS — from beginner to advanced
Sub Category
- Web Development
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Objectives
- Build real-world AI applications using Large Language Models (GPT, Claude, etc.)
- Master Prompt Engineering techniques (zero-shot, few-shot, structured outputs)
- Develop AI Agents with memory, tools, and automation workflows
- Implement Retrieval-Augmented Generation (RAG) using embeddings and vector databases
- Integrate AI into applications using APIs (Python & JavaScript)
- Design and build full-stack AI systems (frontend + backend)
- Deploy AI applications using AWS, Docker, and modern DevOps practices
- Optimize AI systems for cost, latency, and performance
- Understand and mitigate AI risks, security issues, and bias
Pre Requisites
- No prior experience in AI or Machine Learning is required — this course starts from the basics
- Basic computer skills (installing software, using a browser, managing files)
- A laptop or desktop with a stable internet connection
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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