Certification
Certification in Designing and Deploying Agentic AI Workflows
Get certified in Agentic AI Workflows: prove you can design tool-using agents, orchestrate multi-agent teams with guardrails, automate research, ship code reliably, and cut operational costs with deployable flows.

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.
- 01Introduction and a multi-agent demo4:28
- 02The core agent loop8:50
- 03The big three platforms12:25
- 04Self-modifying system prompts9:14
- 05Skills and multi-agent orchestration12:23
- 06Video-to-action pipeline8:47
- 07Stochastic multi-agent consensus8:37
- 08Consensus reports, chat rooms and debate8:41
- 09Verification loops and mixture of experts7:31
- 10Prompt contracts6:44
- 11Reverse prompting and context management9:54
- 12Multi-agent Chrome automation11:15
- 13MCP tools, skills and context compression10:30
- 14Optimizing token usage7:27
- 15Cost-efficient multi-agent strategies6:28
AI Agents Course: Build Agentic AI Workflows in 2 Hours (Video Course) is a fast-track certification that takes you beyond chat to designing agents that plan, use tools, and work together to ship code, finish research, and cut costs,in just two hours. You'll gain practical skills that translate to increased productivity, sharper decision-making, and a real competitive advantage,fueling a future-proof career, higher income potential, and the adaptability to grow as this space evolves. If you're ready to run real, guardrailed workflows right away,built on the Observe-Reason-Act loop and solid orchestration,enroll and start putting agents to work this week.
This certification covers the following topics:
- What Is an AI Agent? From Conversation to Capability
- The Core Agent Loop: Observe, Reason, Act
- Anatomy of a Modern AI Agent: Beyond the Model
- Agent Skills: Turning Repeatable Workflows into Assets
- Multi-Agent Orchestration: Manager-Worker Systems
- Sub-Agent Verification Loops: Implementer → Reviewer → Resolver
- Prompt Contracts and Reverse Prompting for Clarity
- Context Window Management: The Iceberg Technique
- Cost Optimization: The 60/30/10 Routing Rule
- Model Context Protocol (MCP): Turning Agents into Operators
- Ethics, Governance, and Guardrails
- Real-World Applications and Run-This-Week Workflows
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.