Complete AI Training
Sign inGet my AI kit

Your job's AI kit

Get your AI kit

Tell us who you are and what you do. We show you your kit right away and email you the link: skills, prompts, AI agents, MCP servers and courses for your job.

500+ jobs ready, and we make a kit for any other job. No payment needed to look.

Share

Certification

Certification in Building Self-Improving AI Agent Systems

Become certified in Self-Improving AI Agents. You'll prove you can build agentic systems that scale inference-time compute and self-correct on their own,turning model knowledge into reliable solutions for hard problems.

Exam of 10 to 20 questionsCertificate for LinkedInExpert, technical
IT and developmentScience and research
Take the exam

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.

Get certifiedAlready a member? Sign in

What the exam covers

2 questions from each of the 11 chapters of the course

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

  1. 01Course introduction2:00
  2. 02Scaling laws5:48
  3. 03Emergent reasoning5:18
  4. 04Fine-tuning and alignment6:54
  5. 05Test-time scaling and monkeys10:00
  6. 06Scaling at inference and self-improvement10:47
  7. 07From chatbots to agents9:13
  8. 08Self-improvement and verifiers7:03
  9. 09Research agents and AI scientists4:26
  10. 10Logistics and assignments1:05
  11. 11Final project7:08
About the course

The Self-Improving AI Agents: From Scaling Laws to Agentic Systems (Video Course) certification digs into a fascinating idea: ask a hard problem once and a model might fail, but give it ten thousand tries and it can succeed. This course teaches you how inference-time scaling and self-improvement loops turn latent model knowledge into working systems, giving you a serious edge in productivity, decision-making, and future-proofing your career. If you want to build AI agents that actually learn and improve, this is the certification to grab.

This certification covers the following topics:

  • Inference-time scaling and test-time compute
  • Scaling laws and their implications for agent design
  • Self-improvement loops and iterative refinement
  • Search and sampling strategies for hard problems
  • Reward modeling and feedback signals
  • Designing agentic systems with LLMs
  • Evaluation and benchmarking for self-improving agents
  • Common failure modes and how to avoid them
  • Building autonomous workflows and pipelines
  • Real-world case studies from Stanford CS329A