powstik
Prove
Growth Paths / AI Engineering 9: Reinforcement Learning
AdvancedSkills

AI Engineering 9: Reinforcement Learning

12 free lessons, then a project of your own.

12 free lessons, then a project of your own. Free lessons, a free self-check, and real work confirmed by 3 people. Part of the Varsity Curriculum: AI Engineering, adapted from AI Engineering from Scratch (MIT License).

1 required outcomes1 weeksCredential on completion

Path outcomes

SkillsOptional

Learn Clustering, Recommenders and Reinforcement Learning (MIT 6.036)

Prerequisite (optional here): The Data Science reinforcement learning units (MIT 6.036); this phase goes on to DQN, PPO and RLHF.

Take this Challenge →

2 milestones

  1. 1Do the course work in public
  2. 2Build a small recommender or agent
Skills

Learn Reinforcement Learning (AI Engineering Phase 9)

Phase 9: 12 lessons.

Take this Challenge →

2 milestones

  1. 1Do the phase's lessons in public
  2. 2Teach an agent a task

Resources for this path

No affiliate links. No sponsored placements.

The course map this path is adapted from (MIT License).

Every lesson and its code, free.