The School of

Artificial Intelligence

AI is one of the fastest-growing and most transformational technologies of our time, having added over 2.3 million new jobs in the past few years. Spend 10 hours per week to advance your career.

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Deep Learning Engineer

Deep learning is driving advances in artificial intelligence that are changing our world. To join this field, start by learning Python fundamentals and neural networks, move on to core machine learning concepts, and then apply deep neural networks to challenges like image classification and generation, time-series prediction, and model deployment.

Recommended Programs

  1. AI Programming with Python

    Step 1

    Concepts Covered

    Python, NumPy, Pandas, Matplotlib, PyTorch

    beginner
  2. Machine Learning Engineer

    Step 2

    Concepts Covered

    Machine Learning, Supervised Learning, Unsupervised Learning, Deep Learning

    intermediate
  3. Deep Learning

    Step 3

    Concepts Covered

    Deep Learning, Neural Networks, Jupyter Notebooks, CNNs, GANs

    intermediate

Artificial Intelligence Specialist

Artificial Intelligence is expected to be a $60 billion industry by 2025. Join the industry by learning specialized skills in the most transformative AI fields; Computer Vision, Natural Language Processing, Deep Reinforcement Learning, or core AI Algorithms. Each of these programs are advanced topics, building on your existing skills in programming, deep learning, and machine learning.

Recommended Programs

  1. Computer Vision

    Step 1

    Concepts Covered

    Convolutional Neural Networks, Recurrent Neural Networks, Simultaneous Localization and Mapping, Object Tracking, Image Classification, Deep Learning

    advanced
  2. Natural Language Processing

    Step 2

    Concepts Covered

    Machine Learning, Speech Recognition, Sentiment Analysis, Machine Translation, Part of Speech Tagging

    advanced
  3. Deep Reinforcement Learning

    Step 3

    Concepts Covered

    Reinforcement Learning, Neural Networks, PyTorch, Deep Q-Networks (DQN), Deep Deterministic Policy Gradients (DDPG)

    advanced
  4. Artificial Intelligence

    Step 4

    Concepts Covered

    AI Algorithms, Search Algorithms, Optimization, Planning, Pattern Recognition

    advanced

Quantitative Analyst

Data-driven traders are now responsible for more than 30% of all US stock trades by investors (or about $1 trillion USD worth of investments). Build programming and linear algebra skills, then learn to analyze real data and build financial models for trading.

Recommended Programs

  1. AI Programming with Python

    Step 1

    Concepts Covered

    Python, NumPy, Pandas, Matplotlib, PyTorch

    beginner
  2. Artificial Intelligence for Trading

    Step 2

    Concepts Covered

    Momentum Trading Strategy, Smart Beta, Alpha Factors, Natural Language Processing, Deep Learning, Neural Networks

    intermediate

All Our Programs Include

Real-world projects from industry experts

Real-world projects from industry experts

With real world projects and immersive content built in partnership with top tier companies, you’ll master the tech skills companies want.
Technical mentor support

Technical mentor support

Our knowledgeable mentors guide your learning and are focused on answering your questions, motivating you and keeping you on track.
Career Services

Career services

You’ll have access to resume support, Github portfolio review and LinkedIn profile optimization to help you advance your career and land a high-paying role.
Flexible learning program

Flexible learning program

Get a custom learning plan tailored to fit your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.

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