Udemy - 4-Week AI Agents and Agentic Workflows Certification

4-Week AI Agents & Agentic Workflows Certification

https://WebToolTip.com

Published 6/2026
Created by School of AI
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 24 Lectures ( 7h 15m ) | Size: 2.8 GB

Build practical AI agents, RAG systems, tool workflows, and multi-agent automation from beginner to portfolio-ready.

What you'll learn
⚡ 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

Requirements
❗ 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