Top Rated
AI Programming with Python
Concepts Covered: Python, NumPy, Pandas, Matplotlib, PyTorch
Artificial Intelligence
The School of
AI is one of the most transformational and fastest-growing technologies of our time, with its market value expected to exceed $190 billion by 2025. In just three months, you can complete AI courses and advance your career in this revolutionary field.
Programs starting soon
Artificial Intelligence for Trading
Concepts Covered: Momentum Trading Strategy, Smart Beta, Alpha Factors, Natural Language Processing, Deep Learning, Neural Networks
- New
Machine Learning DevOps Engineer
Concepts Covered: API Development, Automated Model Scoring, CI/CD, Model Testing, Data Version Control, Machine Learning Pipelines
- New
Deep Learning
Concepts Covered: Neural Networks, Perceptron, Autoencoders, Convolutional Neural Networks, PyTorch, Object Detection, Recurrent Neural Networks, Long-Short Term Memory Networks, Backpropagation, Generative Adversarial Networks, Deep Learning Techniques, Image Generation, Hyperparameter Tuning
Deep Reinforcement Learning
Concepts Covered: Reinforcement Learning, Neural Networks, PyTorch, Deep Q-Networks (DQN), Deep Deterministic Policy Gradients (DDPG)
Computer Vision
Concepts Covered: Convolutional Neural Networks, Recurrent Neural Networks, Simultaneous Localization and Mapping, Object Tracking, Image Classification, Deep Learning
Natural Language Processing
Concepts Covered: Machine Learning, Speech Recognition, Sentiment Analysis, Machine Translation, Part of Speech Tagging
- New
AWS Machine Learning Engineer
Concepts Covered: Feature Engineering, Machine Learning Fluency, Data Loading with SageMaker, Amazon S3, Neural Network Basics, Deep Learning Fluency, Hyperparameter Tuning, Machine Learning Framework Fundamentals, SageMaker JumpStart, Cloud Resource Allocation, Distributed Model Training with SageMaker, AWS Lambda
AI Product Manager
Concepts Covered: AI Products, Training ML Models, Annotating Datasets, Prototyping a Product
AI for Business Leaders
Concepts Covered: Artificial Intelligence, Machine Learning, Business Strategy, Data Labeling, Data Modeling
Artificial Intelligence
Concepts Covered: Constraint Propagation, AI Algorithms, Constraint Satisfaction Problems, Backtracking Search, Optimization Algorithms, Search Algorithms, Minimax Search, Bayesian Networks, Planning, Pattern Recognition, Time-Series Analysis with ML
AI for Healthcare
Concepts Covered: Artificial Intelligence, 2D Medical Imaging, 3D Medical Imaging, Electronic Health Record Data, Deep Learning, Wearable Device Data, Supervised Learning
Intro to Machine Learning with PyTorch
Concepts Covered: Introduction to Machine Learning, Supervised Learning, Deep Learning, Unsupervised Learning
Intro to Machine Learning with TensorFlow
Concepts Covered: TensorFlow, Deep Learning, scikit-learn, Supervised Learning, Unsupervised Learning
- New
Digital Freelancer
Concepts Covered: Portfolio Websites, Professional Networking, Resumes, Social Media Presence, Non-Disclosure Agreements, Service Agreements, Freelance Pricing Frameworks, Invoicing, Brand Design, Elevator Pitches, Formal Written Communication, Project Management tools, Project Scoping
Machine Learning Engineer for Microsoft Azure
Concepts Covered: Azure Machine Learning, Azure Machine Learning SDK, Automation with Pipelines, Automated ML, Machine Learning Operations
- New
AI Engineer using Microsoft Azure
Concepts Covered: Object Detection, Image Classification, Form Recognition, Facial Recognition, Face Detection, Azure Cognitive Services, Microsoft Bot Framework, Azure Conversational AI Agents, Architecture Diagramming, Requirements Gathering, Intent Recognition, Key Phrase Extraction, Azure Form Recognizer, Bounding Boxes
Unsupervised Learning
Concepts Covered: Introduction to Machine Learning, Unsupervised Learning
Supervised Machine Learning
Concepts Covered: Introduction to Machine Learning, Supervised Learning
- New
Ethical AI
Concepts Covered: AI Fairness, AI Governance, AI Transparency, Model Bias Analysis, Model Bias Mitigation, Explainable AI, Ethical AI
Your path to the right job.
- Machine Learning Engineer
- Deep Learning Engineer
- Artificial Intelligence Specialist
- Quantitative Analyst
Machine Learning Engineer
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.
Recommended programs
- Step 1intermediate
Intro to Machine Learning with TensorFlow
Concepts coveredTensorFlow, Deep Learning, scikit-learn, Supervised Learning, Unsupervised Learning
Learn more - Step 2intermediate
Intro to Machine Learning with PyTorch
Concepts coveredIntroduction to Machine Learning, Supervised Learning, Deep Learning, Unsupervised Learning
Learn more - Step 3beginner
AI Programming with Python
Concepts coveredPython, NumPy, Pandas, Matplotlib, PyTorch
Learn more - Step 4intermediate
AWS Machine Learning Engineer
Concepts coveredFeature Engineering, Machine Learning Fluency, Data Loading with SageMaker, Amazon S3, Neural Network Basics, Deep Learning Fluency, Hyperparameter Tuning, Machine Learning Framework Fundamentals, SageMaker JumpStart, Cloud Resource Allocation, Distributed Model Training with SageMaker, AWS Lambda
Learn more
All our programs include
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
Our knowledgeable mentors guide your learning and are focused on answering your questions, motivating you, and keeping you on track.
Career services
You’ll have access to Github portfolio review and LinkedIn profile optimization to help you advance your career and land a high-paying role.
Flexible learning program
Tailor a learning plan that fits your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.
Free courses
- AWS Machine Learning Foundations Course
- Linear Algebra Refresher Course
- Artificial Intelligence
- Intel® Edge AI Fundamentals with OpenVINO™
- AWS DeepRacer
- Intro to Artificial Intelligence
- Artificial Intelligence for Robotics
- Eigenvectors and Eigenvalues
- Introduction to Machine Learning Course
- Secure and Private AI
- Intro to TensorFlow for Deep Learning
- Intro to Deep Learning with PyTorch
- Machine Learning
- Real-Time Analytics with Apache Storm
- Knowledge-Based AI: Cognitive Systems
- Machine Learning for Trading
- Data Visualization and D3.js
- Reinforcement Learning
- Intro to Hadoop and MapReduce
- Data Analysis with R
- Machine Learning: Unsupervised Learning
- Big Data Analytics in Healthcare
- Introduction to Computer Vision
- Model Building and Validation
- A/B Testing
- Introduction to TensorFlow Lite
- AI Fundamentals
- Introduction to Machine Learning using Microsoft Azure