Certification
Certification in Training and Aligning AI with Reinforcement Learning
Get certified in AI Training & Alignment. Design feedback loops, run RLHF, tune reward models, and turn pre-training insights into safer, value-aligned LLM behavior you can ship, measure, and improve.
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 9 chapters of the course
18 multiple-choice questions, drawn fresh for every attempt. Pass with 70% or more.
- 01Introduction and path into Anthropic3:17
- 02From inference to RL1:04
- 03Understanding reinforcement learning7:36
- 04Setting guardrails2:12
- 05Anti-rewards and games3:26
- 06Behaviorism and lying models4:26
- 07Beyond reinforcement learning1:03
- 08The rise of agents2:13
- 09Conclusion1:32
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This certification course explains how modern AI models are raised, not just scripted, treating the process more like parenting than traditional coding. Mastering these concepts gives you a real competitive advantage, helping future-proof your career and sharpen your decision-making. You'll see exactly why feedback design is so critical and learn the techniques to make AI alignment actually stick.
This certification covers the following topics:
- The Two-Stage Process of AI Training (Pre-Training & RL)
- Reinforcement Learning (RL): The "Upbringing" Phase
- Designing RL Environments and Quality Feedback Loops
- Safety Guardrails and Coaching AI Values
- Understanding and Managing Emergent Behaviors
- Practical Differences: Supervised vs. Reinforcement Learning
- Teaching Meta-Skills: Moving from Chatbots to Agents
- How to Prevent "Reward Hacking" and Unintended Outcomes
- The Mindset Shift: Thinking Like a Parent, Not a Programmer
- Walkthrough: Building an RL Loop for a Helpful & Harmless AI