Certification
Certification in Building, Deploying & Scaling Agentic AI Workflows for Business
Get certified in Agentic AI Workflows for Business. Prove you can design DOE-driven agents that plan, self-correct, and deploy to cloud; add sub-agents, error-proof execution, cut manual work, and launch revenue-ready automations at scale.

The exam
Take the certification exam
Multiple-choice questions about the course. Pass with 70% or more and your certificate is issued at once, with a public page and an "Add to LinkedIn" button.
What the exam covers
2 questions from each of the 15 chapters of the course
20 multiple-choice questions, drawn fresh for every attempt. Pass with 70% or more.
- 01Foundations and lead scraping30:03
- 02The five steps19:56
- 03Interfaces and variability19:59
- 04IDEs17:47
- 05Antigravity and VS Code walkthroughs17:56
- 06The DOE framework24:22
- 07First workflow, CRM and skills25:53
- 08MCP and context windows32:23
- 09LinkedIn scrapers and parallelization25:07
- 10Self-annealing workflows17:04
- 11Safety and efficiency24:46
- 12Reviewing output and chaining13:29
- 13Cloud and webhooks22:06
- 14Scheduling and parallel agents23:27
- 15Sub-agents27:22
Agentic AI Workflows for Business: Build, Deploy, Scale (Video Course) is a focused, 6-hour certification that teaches you to build AI agents that plan, execute, and self-correct using DOE (Directives, Orchestration, Execution). You'll come away with Increased Productivity, Competitive Advantage, and Improved Decision-Making,and you'll be setting yourself up for a Future-Proof Career with Higher Income Potential and room for Adaptability and Growth. Enroll now to master error-proofing, sub-agents, and cloud deploys so you can ship reliable workflows that scale, save headcount, and move revenue.
This certification covers the following topics:
- DOE Framework: Directives, Orchestration, Execution for reliable business agents
- Agent Engine (PTMRO): Planning, Tools, Memory, Reflection, Orchestration
- Designing effective directives and orchestration patterns
- Sub-agents and specialization to reduce context pollution
- Testing, validation, error-proofing, and optimization
- Risk management, guardrails, and human-in-the-loop oversight
- Parallelization and throughput scaling without adding headcount
- Building in an AI-native IDE and practical model/tooling choices
- Deployment to cloud automations and live operations at scale
- Security, compliance, and data hygiene
- Troubleshooting common failure modes and recovery strategies
- Real-world applications across operations, sales/marketing, support, and data
Jobs this certification suits
Our AI checked this certification against 500 jobs; these get the most out of it. Each job links to its learning path.