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Video course · 15 chapters · 342 min · certificate

Agentic AI Workflows for Business: Build, Deploy, Scale

Build agentic workflows that run a business: foundations, the five steps (planning, tools, memory, reflection, orchestration), interfaces and variability, IDEs, the DOE framework, Claude skills, MCP, lead-gen scrapers, self-annealing, efficiency, chaining, cloud and scheduled deployment, parallelization and sub-agents.

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What you'll learn

  • Explain agentic workflows and their five steps
  • Handle probabilistic variability
  • Build workflows in an IDE with the DOE framework
  • Use skills and MCP to connect data
  • Improve workflows with self-annealing
  • Deploy, schedule and parallelize workflows

Chapters

15 chapters · 341:40
  1. 30:03 01Intro Members Foundations and lead scraping Foundational concepts and how agentic workflows changed scraping leads.
  2. 19:56 02Concepts Members The five steps Planning, tools, memory, reflection and orchestration.
  3. 19:59 03Concepts Members Interfaces and variability Text vs GUIs and probabilistic systems vs deterministic work.
  4. 17:47 04Tools Members IDEs Integrated development environments for agentic workflows.
  5. 17:56 05Tools Members Antigravity and VS Code walkthroughs Generating proposals and running an Upwork scraper.
  6. 24:22 06Framework Members The DOE framework Directive, Orchestration, Execution to make outputs consistent.
  7. 25:53 07Build Members First workflow, CRM and skills Building with DOE, a ClickUp CRM manager and Claude skills.
  8. 32:23 08MCP Members MCP and context windows MCP as a universal adapter, context limits and Gmail demo.
  9. 25:07 09Build Members LinkedIn scrapers and parallelization Building lead-gen scrapers and speeding them up with parallelization.
  10. 17:04 10Improve Members Self-annealing workflows Improving workflows over time automatically.
  11. 24:46 11Practice Members Safety and efficiency AI safety and maximizing productivity: speak, be specific, ask questions, paste.
  12. 13:29 12Chain Members Reviewing output and chaining Reviewing deliverables and chaining workflows.
  13. 22:06 13Deploy Members Cloud and webhooks Putting workflows in the cloud with webhook triggers.
  14. 23:27 14Scale Members Scheduling and parallel agents Scheduled deployment, parallel agents and daily use.
  15. 27:22 15Agents Members Sub-agents Sub-agents to manage context windows.

Jobs this course suits

Our AI checked this course against 500 jobs; these get the most out of it. Each job links to its learning path.

AI EngineersAutomation EngineersMachine Learning EngineersSoftware DevelopersSoftware EngineersIT ConsultantsFull-Stack DevelopersSoftware ArchitectsAI Consultants