Want a taste?Check out Intro to RL tutorials

Learn AI
through games, not lectures

Our cohort-based courses with weekly live AI-building competitions make learning AI fun, practical, and motivating

Next Intro to RL cohort starts 2nd January

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Instructors from:

DeepMind

Learn, Build & Compete
in live AI contests

Online courses are rarely fun. It’s easy to lose motivation and give up.

Delta Academy makes learning RL a blast. In weekly competitions, work as a team to build a game AI and compete against others.

Get up to Speed: Get introduced to new concepts in code through short interactive tutorials that prepare you for the competition at the end of the week.
Team Up: Software is built by teams, not individuals. That's why we encourage collaborating in pairs in competitions. Form your dream-team: bring a friend, or make new ones!
Strive for Victory: Get competitive. Unlike dull online tutorials, where there’s nothing on the line, find yourself ultra-motivated as you strive for victory!

Ready, Set,
AlphaGo
in 8 weeks

Go from RL novice to understanding AlphaGo, the system that beat the World Champion in the game of Go, through our two 4-week courses.

Cutting-Edge Code: Learn PyTorch, the machine learning framework used by researchers and practitioners in industry. All exercises and competition code are written in Python 3 with typing hints.
Stuck? Here to help!: Experts are always on hand to immediately answer questions and help you out in the cohort Slack workspace.
Office Hours: Once a week, ask questions in office hours, discuss the content & competition and listen to answers to other cohort members' questions.

What our Alumni say about us

Delta Academy provides a great balance between not being too basic nor too technical for those new to RL, and eases into some sophisticated techniques.

The competition aspect was really unique and provided great motivation to learn the week’s material. I had a lot of fun trying to win and meeting other students. Highly recommend!
Imran Qureshi
AI Product Manager, Google

One of the best classes I've ever taken — it is SO FUN. The competitions are thrilling and hilarious. There is a lot of class camaraderie - people answering questions all the time, and the instructors are truly experts.

This class is one-of-a-kind and I would take any course they create without hesitation.
Siddharth Hiregowdara
Product Manager, Qualia.com

I really enjoyed Delta Academy.

It has the high quality of top universities, the competitive spirit of Kaggle, and all the conveniences of remote working.
Hristo Buyukliev
Senior Data Scientist, TBI Buy

Learning by developing games and joining competitions is probably one of my most fun learning experiences. I was so motivated to keep improving my models and learning from peers.

I can still remember during the four weeks of learning, I was so excited to wake up on Sunday mornings to watch the live competition.
Yiqi Wu
Engineering Manager

Where our Alumni work

Courses

Our courses teach Deep Reinforcement Learning, which is one of the most exciting technologies of the 21

century.

Intro to Reinforcement Learning

4-week course where you apply what you learn in weekly AI-building competitions. Learn RL Fundamentals, Deep Neural Networks and Q-Learning. End by building DQN - the famous DeepMind algorithm - and solve an Atari game.

Intermediate Reinforcement Learning

Learn about the most exciting cutting-edge RL algorithms. In this 4-week course, you'll cover the different components of AlphaGo and build your own version. The final competition is the Game of Go.

Meet the Instructors

Dr. Matthew Phillips

DeepMind

Matt's research at DeepMind was in Multi-agent Reinforcement Learning - how autonomous agents trade-off collaboration and competition. His PhD from University College London is in the Neuroscience of learning and memory, so deeply understands teaching.

Henry Pulver

While at Cambridge University studying for a Masters' in Machine Learning, Henry wrote his thesis on Reinforcement Learning. He then published papers as a machine learning researcher at the UK's largest autonomous driving startup, Five AI.

Dr. James Rowland

James completed his PhD from the University of Oxford in Neural Computation, studying the paths information takes through the mammalian brain. He's since worked as a Data Scientist at early-stage startups, implementing machine learning models.

Frequently asked questions

Learn AI through games, not lectures