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Certification

Certification in Designing Prompts, Building Agents & Deploying Open-Source AI

Get certified in AI prompt engineering, agents, and open-source workflows. Prove you can craft prompts that drive results, build safe, working agents, integrate APIs and no-code tools, and ship automation faster with fewer errors.

Exam of 10 to 20 questionsCertificate for LinkedInBeginner · Intermediate
IT and developmentProduct developmentOperations
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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 10 chapters of the course

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

  1. 01Introduction3:52
  2. 02Why AI is non-negotiable3:23
  3. 03Four essential pillars3:49
  4. 04Prompt engineering8:51
  5. 05Vibe coding7:29
  6. 06AI-assisted coding for developers5:55
  7. 07Agents and automation10:49
  8. 08The open-source revolution11:20
  9. 09Critical workplace skills2:50
  10. 10Career impact11:42
About the course

Essential AI Skills: Prompt Engineering, Agents, Open-Source AI (Video Course) is a hands-on certification designed to help you turn AI from buzzword into real career leverage.

You'll learn prompt craft, tool fluency (both no-code and developer workflows), and how to build agents that actually get work done,translating into increased productivity, better decision-making, a competitive advantage, higher income potential, and a future-proof, adaptable career.

With clear frameworks, practical drills, and open-source options, you'll ship faster with fewer mistakes,enroll now and start building with confidence.

This certification covers the following topics:

  • Core Principles of Effective Prompting
  • The Six-Part Prompt Framework
  • Advanced Prompting Techniques and Common Pitfalls
  • Non-Technical "Vibe Coding" Workflows
  • AI-Assisted Coding Best Practices for Developers
  • Agent Architecture and First-Build Blueprint
  • Measuring Agent Performance and Reliability
  • Responsible AI: Data Privacy, Bias, and Guardrails
  • Open-Source Models: Selection, Tradeoffs, and Stack Choices
  • Implementation Roadmap, Validation Methods, and Metrics That Matter

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.

IT ConsultantsSoftware DevelopersIT SpecialistsProcess Improvement AnalystsSoftware EngineersAI EngineersData ScientistsFull-Stack DevelopersNo-Code DevelopersSystems AnalystsAutomation EngineersCompetitive Intelligence Analysts