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Certification

Certification in Engineering and Deploying Reliable AI Agents

Become certified in Building Reliable AI Agents,demonstrate proven expertise in engineering AI solutions that are robust, scalable, and production-ready, with validated workflows and minimal framework dependencies to meet real business needs.

Multiple-choice exam, 70% to passCertificate for LinkedInIntermediate · Expert, technical
IT and developmentProduct development
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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.

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What the exam covers

2 questions from each of the 8 chapters of the course

16 multiple-choice questions, drawn fresh for every attempt. Pass with 70% or more.

  1. 01AI agents from first principles7:56
  2. 02Block one: intelligence1:12
  3. 03Block two: memory1:48
  4. 04Block three: tools2:12
  5. 05Block four: validation3:45
  6. 06Block five: control4:06
  7. 07Block six: recovery2:07
  8. 08Block seven: feedback and next steps4:41
About the course

The "Building Reliable AI Agents: Core Principles and Practical Engineering (Video Course)" certification equips you with essential skills to design AI agents that perform consistently in demanding production environments. By mastering proven workflows and robust validation techniques, you'll gain a competitive advantage, boost productivity, and secure your expertise for the future of AI-driven business. Enroll today to unlock practical knowledge that translates directly into improved decision-making and career growth.

This certification covers the following topics:

  • Separating Signal from Noise in AI Agent Development
  • Smart Development Approaches for AI Agents
  • Distinguishing AI Assistants from Backend Automation
  • Context Engineering for Effective AI Agents
  • Designing AI Agents as Workflows (DAG Mentality)
  • The Seven Foundational Building Blocks of Reliable AI Agents
  • Implementing the Intelligence Layer
  • Integrating Memory for Context Retention
  • Tools for External System Integration
  • Robust Validation Mechanisms
  • Control through Deterministic Decision-Making and Process Flow
  • Recovery Strategies and Human Feedback Integration
  • Step-by-Step Workflows for Building Reliable Agents
  • Common Pitfalls and How to Avoid Them
  • Best Practices for Reliable AI Agent Engineering

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.

AI EngineersMachine Learning EngineersSoftware EngineersSoftware DevelopersSoftware ArchitectsFull-Stack DevelopersAutomation Engineers