Learn how to discover hidden patterns from the raw data, about machines that can perform task that usually only people can and more. This course will introduce you to key Artificial Intelligence and Data science concepts and you will learn fundamental terminology of basic artificial intelligence and Data science such as Machine Learning, Big Data, Supervised Learning, Unsupervised Learning, Data Science, Artificial Intelligence, Artificial Neural Networks and Deep Learning.
In this learning path, you will learn about cloud concepts, understand the benefits of cloud computing in Azure and how it can save you time and money.
In this learning path you will write your first lines of Python code, store and manipulate data to modify its type and appearance, execute built-in functionality available from libraries of code and add logic to your code to enable complex business functionality.
A high-level overview of artificial intelligence (AI) and machine learning aimed at people with little or no knowledge of computer science and statistics.
Learn an intuitive approach to building the complex models that help machines solve real-world problems with human-like intelligence.
Reinforcement Learning (RL) is an area of machine learning, where an agent learns by interacting with its environment to achieve a goal. Learn how to frame reinforcement learning problems, tackle classic examples and explore basic algorithms from dynamic programming.
Natural language processing supports applications that can see, hear, speak with, and understand users. Using text analytics, translation, and language understanding services, Microsoft Azure makes it easy to build applications that support natural language.
Interested in learning a programming language but aren’t sure where to start? Start here! Learn the basic syntax and thought processes required to build simple applications using C#.