Machine learning is what allows computer systems to learn and improve from experience without being explicitly programmed, and it's at the center of some of AI's most important advancements. Whether you're a beginner or an experienced AI engineer, we offer a range of courses to ensure that you have the skills you need to succeed in this field.
Machine Learning Courses
- nanodegree
Intro to Machine Learning with PyTorch
Build a solid foundation in supervised, unsupervised, and deep learning. Then, use these skills to test and deploy machine learning models in a production environment.
Skills Covered
Introduction to Machine Learning, Supervised Learning, Deep Learning, Unsupervised Learning
Prerequisites
Intermediate Python
intermediate3 Months449 reviewsIn collaboration with:
Kaggle, AWS
- nanodegree
AWS Machine Learning Engineer
Learn the data science and machine learning skills required to build and deploy machine learning models in production using Amazon SageMaker.
Skills 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
Prerequisites
Basic knowledge of machine learning algorithms and Python programming
intermediate5 Months148 reviewsIn collaboration with:
AWS
- nanodegree
Machine Learning Engineer for Microsoft Azure
Strengthen your machine learning skills and build practical experience by training, validating, and evaluating models using Azure Machine Learning.
Skills Covered
Azure Machine Learning, Azure Machine Learning SDK, Automation with Pipelines, Automated ML, Machine Learning Operations
Prerequisites
Prior experience with Python, Machine Learning, and Statistics
intermediate3 Months201 reviewsIn collaboration with:
Microsoft
- nanodegree
Machine Learning DevOps Engineer
Gain the DevOps skills required to automate the various aspects and stages of building and monitoring machine learning models.
Skills Covered
API Development, Automated Model Scoring, CI/CD, Model Testing, Data Version Control, Machine Learning Pipelines
Prerequisites
Prior experience with Python and Machine Learning
advanced4 Months120 reviews - nanodegree
Intro to Machine Learning with TensorFlow
Build a solid foundation in supervised, unsupervised, and deep learning. Then, use these skills to test and deploy machine learning models in a production environment.
Skills Covered
TensorFlow, Deep Learning, scikit-learn, Supervised Learning, Unsupervised Learning
Prerequisites
Intermediate Python
intermediate3 Months530 reviewsIn collaboration with:
Kaggle, AWS
- nanodegree
Data Scientist
Build effective machine learning models, run data pipelines, build recommendation systems, and deploy solutions to the cloud with industry-aligned projects.
Skills Covered
Machine Learning, Deep Learning, Software Engineering
Prerequisites
Python, SQL & Statistics
advanced4 Months1217 reviewsIn collaboration with:
Bertelsmann, Figure Eight, IBM Watson, Insight, Kaggle, Starbucks
- nanodegree
Natural Language Processing
Learn the job-ready skills that progress computers to be able to understand, process, and respond to human language.
Skills Covered
Machine Learning, Speech Recognition, Sentiment Analysis, Machine Translation, Part of Speech Tagging
Prerequisites
Python, Statistics, Machine Learning, & Deep Learning
advanced3 Months526 reviewsIn collaboration with:
Amazon Alexa, IBM Watson
- nanodegree
Intro to Self-Driving Cars
This introductory program is the perfect way to start your journey into the future of transportation—flying cars.
Skills Covered
Computer Vision, Machine Learning, Vehicle Motion, Control
Prerequisites
Programming & Mathematics
intermediate4 Months807 reviews - nanodegree
Data Science for Business Leaders
Master the people, platforms, and processes required to leverage the power of Data Science in your business.
Skills Covered
Business Strategy, Data Science, Data Architecture, Machine Learning, Human Capital
Prerequisites
Statistics, Probability, and Business Experience
intermediate2 Months86 reviewsIn collaboration with:
Alteryx
- nanodegree
AI for Business Leaders
Master the foundations of artificial intelligence so you can strategically implement machine learning technology in your organization, and leverage it for corporate growth.
Skills Covered
Artificial Intelligence, Machine Learning, Business Strategy, Data Labeling, Data Modeling
Prerequisites
Statistics, Probability, and Business Experience
intermediate2 Months129 reviewsIn collaboration with:
BMW
- free
AWS Machine Learning Foundations Course
Learn what machine learning is and the steps involved in building and evaluating models. Gain in demand skills needed at businesses working to solve challenges with AI.
Skills Covered
Computer vision, Reinforcement learning, Generative AI, Machine Learning, Object-oriented programming
intermediate2 Months - free
Introduction to Machine Learning using Microsoft Azure
Gain a high-level introduction to the field of machine learning and prepare to use Azure Machine Learning Studio to train machine learning models. Plus, learn how to perform a variety of tasks on Azure Machine Learning labs — from data import, transformation and management to training, validating and evaluating models.
Skills Covered
Machine Learning, Azure, Model Training, Supervised & Unsupervised Learning, Responsible AI
intermediate2 MonthsIn collaboration with:
Microsoft Azure
- free
Introduction to Machine Learning Course
This class will teach you the end-to-end process of investigating data through a machine learning lens. Learn online, with Udacity.
Skills Covered
Machine Learning, Supervised Learning, Unsupervised Learning, Evaluation Metrics, Data Manipulation
intermediate10 Weeks - free
Machine Learning Interview Preparation
In this course, you’ll learn exactly what to expect during a machine learning interview.
Skills Covered
Interview practice, Machine Learning, Career Advancement
intermediate1 Week - free
Spark
Master how to work with big data and build machine learning models at scale using Spark!
Skills Covered
Spark, SparkSQL, Spark Dataframes, Data Wrangling, Machine Learning
intermediate10 HoursIn collaboration with:
Insight
- free
Reinforcement Learning
Learn how to engage with machine learning from a theoretical perspective. Explore automated decision-making and dive into advanced algorithms.
Skills Covered
Reinforcement Learning, Temporal Difference, Game Theory, Partially Observable Markov Decision Processes (POMDP), Machine Learning
advanced4 MonthsIn collaboration with:
Georgia Institute of Technology
- free
Artificial Intelligence
This course gives a survey of topics in AI along with in-depth foundational concepts such as classical search, probability, machine learning, logic and planning.
Skills Covered
Artificial Intelligence, Probability, Bayesian Networks, Logic and Planning, Machine Learning
intermediate4 MonthsIn collaboration with:
Georgia Institute of Technology
- free
AI Fundamentals
AI Fundamentals is an entry point into the world of AI using Microsoft's cloud-based solutions, such as Azure Machine Learning and Azure Cognitive Services.
Skills Covered
Artificial Intelligence, Machine Learning, Azure, Computer Vision, Azure Cognitive Services, Natural Language Processing, Conversational AI
beginner1 MonthIn collaboration with:
Microsoft Azure
- free
Intro to Artificial Intelligence
This course will introduce you to the basics of AI. Topics include machine learning, probabilistic reasoning, robotics, computer vision, and natural language processing.
Skills Covered
Artificial Intelligence, Machine Learning, Probability, Logic & Planning, Markov models
intermediate4 Months - free
AWS DeepRacer
Learn the fundamentals of machine learning and reinforcement learning in a fun and engaging way through autonomous driving with AWS DeepRacer.
Skills Covered
Machine Learning, Reinforcement Learning, AWS DeepRacer
intermediate2 WeeksIn collaboration with:
AWS DeepRacer