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This online course program shows how to evaluate the business value of an AI product and how to build new products. It includes a discussion of how to scope and build a data...
This comprehensive online course series will introduce participants to the field of artificial intelligence. It includes topics such as search and optimization; logic,...
This online course program shows how to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets.
This online course series gives participants the opportunity to become a robotics engineer. The program covers all key aspects of modern robotics and was created with leading...
This online course series gives an introduction to software development for cloud applications. It includes cloud development and deployment with AWS, and building apps with...
This online course series gives an introduction to deep reinforcement learning, including value-based methods, policy-based methods, and multi-agent reinforcement learning. Some...
This course series teaches the fundamentals of how the web works and offers a working knowledge of the three foundational languages that power each and every website: HTML, CSS...
This online course program gives an introduction to applying Artificial Intelligence (AI) to healthcare. It includes modules on applying AI to 2D and 3D medical imaging data,...
This online course program teaches the basics of digital marketing. The program aims to cover all key aspects of modern digital marketing techniques, such as content marketing,...
This online course program teaches foundational data skills for marketing. This includes collecting and analyzing data, modeling marketing scenarios, and using Excel, Tableau,...
This online course program teaches the fundamentals of deep learning as one of the key building blocks of AI projects.
This series of online courses teaches data fundamentals and data-driven decisions. It includes modules on Excel, SQL, and data visualization with Tableau.
This online course program explores the programming fundamentals required for data science, including R, SQL, Command Line, and Git.
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