Meet the growing demand for Azure AI engineers and learn to design, build, and implement machine learning models, using Microsoft Azure.

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Master the skills necessary to become a successful site reliability engineer. Learn to build automation tools that ensure designed solutions respond to requirements such as availability, performance, security, and maintainability.

Master the skills necessary to become a successful privacy engineer. Learn to create technical solutions and implement privacy principles by integrating Privacy-by-Design into product development, data infrastructure, and software release lifecycles.

YouÕll master the skills necessary to become a successful ML engineer. Learn the data science and machine learning skills required to build and deploy machine learning models in production using Amazon SageMaker.

Meet the growing demand for Azure cloud architects and learn the skills to translate business requirements into technical specifications for reliable, scalable, and secure cloud infrastructure using Microsoft Azure.

Meet the growing demand for enterprise security engineers and learn the foundational skills of security engineering within an enterprise setting.

The goal of the Digital Freelancer Nanodegree program is to prepare students to enter the digital marketplace by teaching key skills to create a successful digital business.

Meet the growing demand for security architects and learn the skills required to advance your cybersecurity career. You will master the skills necessary to become a successful security architect.

Self-driving cars are transformational technology, on the cutting-edge of robotics, machine learning and engineering. Learn the skills and techniques used by self-driving car teams at the most advanced technology companies in the world.

Up your game by streamlining the integration of machine-learning models and deploying them to a production-level environment.

Learn how to build high quality websites and dynamic applications to create stunning user experiences for the web.

Learn the programming fundamentals required for a career in data science. By the end of the program, you will be able to use Python, SQL, Command Line, and Git.

Strengthen your machine learning skills and build practical experience by training, validating, and evaluating models using Azure Machine Learning.

Build hands-on projects to acquire core robotics software engineering skills: ROS, Gazebo, Localization, Mapping, SLAM, Navigation, and Path Planning.

Gain the technical understanding to make tough, IT-driven decisions that unlock the value of cloud computing in your organization.

AI Engineer using Microsoft Azure