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Certification

Certification in Building Self-Improving AI Agents with Memory & Automation

Get certified in building self-improving AI agents with persistent memory and reusable skills. Prove you can design Hermes-style agents that learn from every interaction, automate workflows, and run reliably without constant supervision.

Exam of 10 to 20 questionsCertificate for LinkedInIntermediate

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 10 chapters of the course

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

  1. 01Memory and skills: the two unlocks1:35
  2. 02Run it 24/7 on a VPS2:08
  3. 03memory.md and user.md1:37
  4. 04Second brain with Obsidian1:37
  5. 05Custom MD files and persona1:07
  6. 06Skills: repeatable processes1:49
  7. 07Bundling skills and sub-agents1:52
  8. 08Demo: call to Reels4:17
  9. 09Skill plus cron job2:31
  10. 10Recap: your highest-ROI automation2:14
About the course

This certification walks you through building a self-improving AI agent, tackling the exact problem where your agent forgets everything between sessions. You'll walk away with practical skills that boost your productivity, sharpen your decision-making, and give you a serious competitive advantage in any AI-driven role. If you're tired of your AI starting from zero every single time, this course shows you how to break that cycle for good.

This certification covers the following topics:

  • The Problem With Most AI Agents
  • Why Memory and Skills Change Everything
  • Core Architecture: The Two Memory Files
  • Using Memory Files Like Sticky Notes, Not a Journal
  • Building a Second Brain: Structured Knowledge Management
  • Skills: Teaching Your Agent to Do Things
  • Chaining Skills and Using Sub-Agents
  • Persistent Infrastructure: Running 24/7
  • Automation: Cron Jobs and Scheduled Workflows
  • Real-World Implementation: Automated Content Workflow
  • Monitoring and Maintaining the Agent
  • Approval Mode and Control