Udemy - 4-Week AI Agents and Agentic Workflows Certification

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size2.7 GB
  • Uploaded Byfreecoursewb
  • Downloads59
  • Last checkedJul. 03rd '26
  • Date uploadedJul. 02nd '26
  • Seeders 0
  • Leechers17

Infohash : B428AEC96383CAA0FDDB2B70FBE07FB26312013B

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

Files:

[ WebToolTip.com ] Udemy - 4-Week AI Agents and Agentic Workflows Certification
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Week 1 Agent Fundamentals
    • 1. Day 1 — What Are AI Agents From Prompts to Systems.mp4 (91.1 MB)
    • 2. Day 2 — Anatomy of an AI Agent.mp4 (108.2 MB)
    • 3. Day 3 — The Agent Loop Think → Act → Observe.mp4 (103.5 MB)
    • 4. Day 4 — Tools Giving Agents Superpowers.mp4 (132.5 MB)
    • 5. Day 5 — Designing Simple Single-Agent Systems.mp4 (104.1 MB)
    • 6. Week 1 Lab — Build Your First AI Agent.html (24.2 KB)
    2 - Week 2 Tools + Memory + RAG
    • 10. Day 9 — Building a Memory-Enabled Agent.mp4 (179.7 MB)
    • 11. Day 10 — Tool + Memory Integration Patterns.mp4 (197.2 MB)
    • 12. Week 2 Lab — Build a RAG Agent.html (31.8 KB)
    • 7. Day 6 — Memory in AI Agents Why It Matters.mp4 (135.1 MB)
    • 8. Day 7 — Vector Databases & Embeddings Basics.mp4 (149.1 MB)
    • 9. Day 8 — Retrieval-Augmented Generation (RAG).mp4 (162.5 MB)
    3 - Week 3 Multi-Agent Systems
    • 13. Day 11 — From Single to Multi-Agent Systems.mp4 (141.0 MB)
    • 14. Day 12 — Agent Roles & Architectures.mp4 (125.0 MB)
    • 15. Day 13 — Agent Communication & Coordination.mp4 (130.1 MB)
    • 16. Day 14 — Orchestration Frameworks Overview.mp4 (224.1 MB)
    • 17. Day 15 — Building a Multi-Agent Workflow.mp4 (156.0 MB)
    • 18. Week 3 Lab — Multi-Agent System Build.html (37.3 KB)
    4 - Week 4 Capstone Project
    • 19. Day 16 — Capstone Planning From Idea to Architecture.mp4 (163.3 MB)
    • 20. Day 17 — Building Core Agent System.mp4 (110.9 MB)
    • 21. Day 18 — Adding Memory, Guardrails & Reliability.mp4 (135.3 MB)
    • 22. Day 19 — Observability, Testing & Optimization.mp4 (120.4 MB)
    • 23. Day 20 — Final Demo & Production Thinking.mp4 (118.9 MB)
    • 24. Week 4 Lab — Capstone Build Production Agent System.html (46.2 KB)
    • Bonus Resources.txt (0.1 KB)

Code:

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