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Certification

Certification in Building Reliable LLM Apps, Context Engineering, and AI Agents

Get certified in reliable LLM systems, context engineering, and AI agents. Prove you can choose DAGs vs agents, engineer context for accuracy, design for voice, build agentic features, and ship production AI from demo to deployment.

Exam of 10 to 20 questionsCertificate for LinkedInIntermediate · Expert, technical

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 6 chapters of the course

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

  1. 01The state of AI in 20266:02
  2. 02Google's rising influence3:12
  3. 03Workflows versus agents4:35
  4. 04The future of agentic coding3:13
  5. 05Context engineering and voice3:22
  6. 06Embrace the early days4:16
About the course

AI Trends: Reliable LLMs, Context Engineering, and Agents (Video Course) is a certification that gives you a clear, engineer's view of where AI is headed in 2026 and how to ship systems that actually work. You'll build practical skills that drive increased productivity, competitive advantage, improved decision-making, and a future-proof career,with real upside for higher income potential as you scale what works. If you're ready to choose DAGs over agents when it counts, master context engineering and voice design, and turn demos into durable products, enroll today and build with confidence.

This certification covers the following topics:

  • Capability vs. reliability: designing systems that ship
  • Limits of current LLMs and where research is headed
  • Deterministic workflows (DAGs) vs. autonomous agents, with decision criteria
  • Agent-to-agent protocols and multi-tool orchestration
  • Context engineering: patterns, retrieval, and grounding that actually work
  • Agentic coding to multiply developer output
  • Voice as a primary interface: UX for confidence and flow
  • Measuring progress: reliability metrics beyond benchmarks
  • Security, safety, and governance you can actually use
  • Cost, latency, and scale tradeoffs in production
  • From demos to durable products: adoption playbook and practical blueprints
  • The competitive landscape and why full-stack ecosystems 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.