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Natural Language Processing in TensorFlow
Description If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This Specialization will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. In Course 3 of the deeplearning.ai TensorFlow Specialization, you will build natural…
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Browser-based Models with TensorFlow.js
Description Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model. In this first course, you’ll train and run machine learning models in any browser using TensorFlow.js. You’ll learn…
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AWS Computer Vision: Getting Started with GluonCV
Description This course provides an overview of Computer Vision (CV), Machine Learning (ML) with Amazon Web Services (AWS), and how to build and train a CV model using the Apache MXNet and GluonCV toolkit. The course discusses artificial neural networks and other deep learning concepts, then walks through how to combine neural network building blocks…
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Business Strategies for A Better World Specialization
Description You’re not just interested in making money. You’re interested in making a difference in the world too. Set your career and your business on the road to success by learning evidence-based strategies to achieve sustainable social impact: profits with purpose. This specialization was designed to give you the tools and strategies you need to…
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Developing Industrial Internet of Things Specialization
Description In this specialization, you will engage the vast array of technologies that can be used to build an industrial internet of things deployment. You’ll encounter market sizes and opportunities, operating systems, networking concepts, many security topics, how to plan, staff and execute a project plan, sensors, file systems and how storage devices work, machine…
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Semiconductor Devices Specialization
Description This Semiconductor Devices specialization is designed to be a deep dive into the fundamentals of the electronic devices that form the backbone of our current integrated circuits technology. You will gain valuable experience in semiconductor physics, pn junctions, metal-semiconductor contacts, bipolar junction transistors, metal-oxide-semiconductor (MOS) devices, and MOS field effect transistors. Specialization Learning Outcomes:…
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Introduction to Cyber Security Specialization
Description Introduction to Cyber Security was designed to help learners develop a deeper understanding of modern information and system protection technology and methods. The learning outcome is simple: We hope learners will develop a lifelong passion and appreciation for cyber security, which we are certain will help in future endeavors. Students, developers, managers, engineers, and…
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Competitive Strategy and Organization Design Specialization
Description Paired with humorous elements and illustrating examples, the Competitive Strategy and Organization Design specialization is the ideal choice for curious individuals who enjoy unique learning experiences and innovative teaching approaches. Its style is likely to appeal especially to young, middle-aged and young-at-heart learners. The specialization is indended for learners interested in engaging in fundamental…
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TensorFlow: Data and Deployment Specialization
Description Continue developing your skills in TensorFlow as you learn to navigate through a wide range of deployment scenarios and discover new ways to use data more effectively when training your model. In this four-course Specialization, you’ll learn how to get your machine learning models into the hands of real people on all kinds of…
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TensorFlow in Practice Specialization
Description Discover the tools software developers use to build scalable AI-powered algorithms in TensorFlow, a popular open-source machine learning framework. In this four-course Specialization, you’ll explore exciting opportunities for AI applications. Begin by developing an understanding of how to build and train neural networks. Improve a network’s performance using convolutions as you train it to…
