Build practical AI agents, RAG systems, tool workflows, and multi-agent automation from beginner to portfolio-ready.
Sub Category
- Data Science
{inAds}
Objectives
- Understand the difference between basic LLM prompting and real AI agent systems
- Explain the core components of an AI agent, including input, reasoning, action, observation, and output
- Build a working single-agent system using the Think → Act → Observe agent loop
- Connect AI agents to tools, APIs, functions, and external systems to complete real tasks
- Use memory to create stateful agents that can store and reuse information across interactions
- Understand embeddings, vector databases, and retrieval-augmented generation at a practical level
- Build a RAG-powered agent that can retrieve external knowledge and generate more accurate responses
- Design and build multi-agent workflows using roles such as Planner, Executor, Reviewer, and Manager
- Understand how agents communicate, coordinate tasks, and pass context through a workflow
- Add basic guardrails, validation, logging, debugging, and reliability checks to agent systems
- Complete a portfolio-ready capstone project that combines tools, memory, RAG, and agentic workflows
Pre Requisites
- No prior experience with AI agents or agentic workflows is required
- Basic familiarity with using a computer and browsing the internet is helpful
- Beginner-level understanding of AI tools like ChatGPT is useful, but not required
- Basic Python knowledge is helpful for hands-on labs, but the course explains concepts step by step
- No advanced machine learning, data science, or deep learning background is required
- No prior experience with RAG, vector databases, embeddings, or multi-agent systems is needed
- A laptop or desktop computer with internet access is recommended
- Willingness to follow hands-on exercises and build practical AI projects
- Curiosity about how modern AI agents, tools, memory, and automation workflows work
- This course is designed to lower the barrier for beginners while still helping learners build portfolio-ready AI agent systems
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!
{inAds}
Coupon Code(s)