AI is one of the fastest-growing and most transformational technologies of our time, with 2.3 million new jobs opening up by 2020. Spend 10 hours per week to advance your career.
Concepts Covered: Azure Machine Learning, Azure Machine Learning SDK, Automation with Pipelines, Automated ML, Machine Learning Operations
Concepts Covered: Artificial Intelligence, 2D Medical Imaging, 3D Medical Imaging, Electronic Health Record Data, Deep Learning, Wearable Device Data, Supervised Learning
Concepts Covered: Edge AI, Computer Vision, Deep Learning, Edge Computing, AI Modeling, Deep Neural Networks (DNN), Convolutional Neural Networks (CNN), IoT, Intel® Distribution of OpenVINO™ Toolkit, Intel® DevCloud for the Edge
Concepts Covered: TensorFlow, Deep Learning, scikit-learn, Supervised Learning, Unsupervised Learning
Concepts Covered: AI Products, Training ML Models, Annotating Datasets, Prototyping a Product
Concepts Covered: Introduction to Machine Learning, Supervised Learning, Deep Learning, Unsupervised Learning
Concepts Covered: Python, NumPy, Pandas, Matplotlib, PyTorch
Concepts Covered: Momentum Trading Strategy, Smart Beta, Alpha Factors, Natural Language Processing, Deep Learning, Neural Networks
Concepts Covered: Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Simultaneous Localization and Mapping (SLAM), Object Tracking, Image Classification, Deep Learning
Concepts Covered: Machine Learning, Speech Recognition, Sentiment Analysis, Machine Translation, Part of Speech Tagging
Concepts Covered: Reinforcement Learning, Neural Networks, PyTorch, Deep Q-Networks (DQN), Deep Deterministic Policy Gradients (DDPG)
Concepts Covered: AI Algorithms, Search Algorithms, Optimization, Planning, Pattern Recognition
Concepts Covered: Machine Learning, Supervised Learning, Unsupervised Learning, Deep Learning
Concepts Covered: Deep Learning, Neural Networks, Jupyter Notebooks, CNNs, GANs
Concepts Covered: Artificial Intelligence, Machine Learning, Business Strategy, Data Labeling, Data Modeling
Machine learning is becoming a fundamental skill as software development is entering a new era. This path will enable you to start a career as a Machine Learning Engineer. First learn the fundamentals of programming in Python, linear algebra, and neural networks, and then move on to core Machine Learning concepts.
TensorFlow, Deep Learning, scikit-learn, Supervised Learning, Unsupervised Learning
Introduction to Machine Learning, Supervised Learning, Deep Learning, Unsupervised Learning
Python, NumPy, Pandas, Matplotlib, PyTorch
Machine Learning, Supervised Learning, Unsupervised Learning, Deep Learning
Machine learning is becoming a fundamental skill as software development is entering a new era. This path will enable you to start a career as a Machine Learning Engineer. First learn the fundamentals of programming in Python, linear algebra, and neural networks, and then move on to core Machine Learning concepts.
TensorFlow, Deep Learning, scikit-learn, Supervised Learning, Unsupervised Learning
Introduction to Machine Learning, Supervised Learning, Deep Learning, Unsupervised Learning
Python, NumPy, Pandas, Matplotlib, PyTorch
Machine Learning, Supervised Learning, Unsupervised Learning, Deep Learning
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.
Python, NumPy, Pandas, Matplotlib, PyTorch
Machine Learning, Supervised Learning, Unsupervised Learning, Deep Learning
Deep Learning, Neural Networks, Jupyter Notebooks, CNNs, GANs
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.
Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Simultaneous Localization and Mapping (SLAM), Object Tracking, Image Classification, Deep Learning
Machine Learning, Speech Recognition, Sentiment Analysis, Machine Translation, Part of Speech Tagging
Reinforcement Learning, Neural Networks, PyTorch, Deep Q-Networks (DQN), Deep Deterministic Policy Gradients (DDPG)
AI Algorithms, Search Algorithms, Optimization, Planning, Pattern Recognition
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.
Real-world projects from industry experts
Technical mentor support
Career services
Flexible learning program