Udemy - Agentic Workflows - Design End-to-End AI Processes

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Udemy - Agentic Workflows - Design End-to-End AI Processes (Size: 1.4 GB)
  Bonus Resources.txt 102.4 B
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  1 - From Prompts to Workflows Why Agentic Design Matters
  1. Why standalone prompts are no longer enough.mp4 33.1 MB
  2 - Anatomy of an Agentic Workflow
  3 - From Task List to Agentic Flow
  10. Guided example full design of a flow “incoming email → reply → CRM update”.mp4 90.3 MB
  4 - Conversation & Control Patterns for Agents
  11. Plan‑Execute‑Verify pattern how to structure the agent’s steps.mp4 40.2 MB
  12. Audit & Self‑Review pattern making the agent review its own work.mp4 36.4 MB
  13. Multi‑View pattern combining multiple perspectives before a decision.mp4 32.3 MB
  14. How to represent these patterns in simple, business‑friendly diagrams.mp4 31.4 MB
  5 - Designing Workflows for Different Functions
  15. Customer support from incoming ticket to proposed resolution.mp4 87.5 MB
  16. Sales and marketing account research, outreach preparation, follow‑up.mp4 55.6 MB
  17. Internal operations data collection, checks, recurring reports.mp4 61.3 MB
  6 - Evaluating and Refining Your Agentic Workflow
  18. Quality criteria clarity, control, business value, risk.mp4 49.3 MB
  19. How to simplify an overly complex flow without losing impact.mp4 46.8 MB
  20. Mini checklist to review a workflow before moving to technical implementation.mp4 36.2 MB
  7 - Final Workshop Design Your First Agentic Workflow
  21. Choosing a real process from the learner’s work (guided slide template).mp4 53.6 MB
  22. Quick map goal → steps → who (human agent system).mp4 57.3 MB
  23. Identifying control points and basic success metrics.mp4 42.8 MB
  24. Next step how to present the workflow to a technical team or your manager.mp4 66.9 MB
  7. Identifying candidate tasks in a real process.mp4 96.3 MB
  8. Breaking down a complex task into chainable sub‑tasks.mp4 91.1 MB
  9. Deciding what the agent does and what the human keeps doing.mp4 110.4 MB
  4. Key components goal, inputs, steps, decisions, outputs.mp4 76.6 MB
  5. Types of steps human, agent, system (rules data).mp4 64.3 MB
  6. Single‑agent vs multi‑agent workflows (business, non‑technical view).mp4 62.5 MB
  2. What an “agentic workflow” is in business language.mp4 67.6 MB
  3. Quick examples from a single task to an end‑to‑end process.mp4 73 MB
  3. transformation_examples_slide.pptx 114.4 KB

Description


Agentic Workflows: Design End-to-End AI Processes
https://WebToolTip.com
Published 3/2026

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch

Language: English | Duration: 2h 15m | Size: 1.43 GB
Design AI agent workflows: components, control patterns, real use cases, and evaluation and no coding required!
What you'll learn

Explain what an agentic workflow is in plain business language and how it differs from a standalone AI prompt or simple automation

Identify the key components of any agentic workflow: goals, inputs, steps, decision points, and outputs

Distinguish between human steps, agent steps, and system steps, and assign each correctly when designing a real workflow

Break down a complex business process into chainable sub-tasks that an AI agent can execute autonomously or with human oversight

Apply three core agent control patterns — Plan-Execute-Verify, Audit & Self-Review, and Multi-View — to structure reliable workflows

Design agentic workflows for real business functions including customer support, sales, marketing, and internal operations

Evaluate a workflow using quality criteria — clarity, control, business value, and risk — before moving to technical implementation

Present a complete agentic workflow design to a technical team or manager using a clear, business-friendly visual format
Requirements

No technical or programming knowledge required. If you work in a business environment and want to design smarter AI-powered processes, this course is built for you.

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