Intro to Machine Learning with PyTorch

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.

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

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.

Meet the growing demand for cybersecurity professionals by gaining the skills to protect an organizationÕs computer networks and systems.

Master JavaScript, the most popular programming language in the world. Be equipped for advanced roles in web development, server-side application development, and desktop development.

Work on projects designed by industry experts, and learn to run data pipelines, design experiments, build recommendation systems, and deploy solutions to the cloud.

Meet the growing demand for data analysis and visualization professionals by gaining the Power BI skills that top companies want.

Learn Python, NumPy, Pandas, Matplotlib, PyTorch, Calculus, and Linear AlgebraÑthe foundations for building your own neural network.

Work with the Bitcoin and Ethereum protocols, build projects for real-world application, and gain the essential skills for a career in this dynamic space.

No programming experience? No Problem! Start developing Android apps today.

Advance your career with Java techniques like syntax, conditional statements, functions, loops and collections. Exit the program with employable skills to solve real-world programming problems.

Learn to develop and deploy cloud-based applications on Microsoft Azure, the cloud services platform used by 95% of Fortune 500 companies.

Learn fundamental skills used in web development, including HTML, CSS, JavaScript, and Python.

Learn back-end development with the Java programming language, one of the most popular programming languages in the world and one a majority of large enterprises rely on for their infrastructure.

Lead your organization's cloud computing strategy as an AWS Cloud Architect. Plan, design, and build secure, high availability cloud infrastructure.

Become an expert in neural networks, and learn to implement them using the deep learning framework PyTorch

Learn how to process data in real-time by building fluency in modern data engineering tools, such as Apache Spark, Kafka, Spark Streaming, and Kafka Streaming.Ê

Hone specialized Product Management skills in growth strategy. Lead experimentation and data-driven decision-making in your organization to drive products to reach the next level of scale, impact, and profitability.

Be at the forefront of cloud technology by learning how to design and deploy hybrid cloud infrastructure and applications.

Learn C++, a high-performance programming language used in the world's most exciting engineering jobs -- from self-driving cars and robotics, to web browsers, media platforms, servers, and even video games.

Master SQL, the core language for Big Data analysis, and enable insight-driven decision-making and strategy for your business.

Learn to develop AI products that deliver business value. Build skills that help you compete in the new AI-powered world.

Learn foundational machine learning techniques - from data manipulation to unsupervised and supervised algorithms.

Be at the forefront of the revolution of AI in Healthcare, and transform patient outcomes. Enable enhanced medical decision-making powered by machine learning to build the treatments of the future.

In this program, you will learn foundational data skills that apply across functions and industries. You will learn to analyze data and build models with Excel, query databases using SQL, and create informative data visualizations with Tableau.

Get your start in the high growth field of Cybersecurity by building foundational skills in how to evaluate, maintain, and monitor the security of computer systems.

Master the strategic decision-making skills for the people, platforms, and processes required to leverage the power of Data Science in your business

Decide to use an unsupervised, supervised, or deep learning model when approaching a specific problem.Build predictive models using automated machine learning tools.

Master the foundations of artificial intelligence so you can strategically implement AI in your company. Leverage machine learning technologies to power corporate growth, increase efficiency, and enhance customer experiences.

Learn advanced machine learning techniques and algorithms -- including how to package and deploy your models to a production environment.

In this program, you will sharpen your Python skills, apply C++, apply matrices and calculus in code, and touch on computer vision and machine learning.

Gain real-world experience running live campaigns as you learn from top experts in the field. Launch your career with a 360-degree understanding of digital marketing.

React is completely transforming Front-End Development. Master this powerful UI library from Facebook with Udacity.

Learn essential Artificial Intelligence concepts from AI experts like Peter Norvig and Sebastian Thrun, including search, optimization, planning, pattern recognition, and more.

Learn the deep reinforcement learning skills that are powering amazing advances in AI. Then start applying these to applications like video games and robotics.

Gain the highly sought-after skills to protect an organizationÕs computer networks and systems from security threats or attacks.

Build a static website using AWS, develop and deploy cloud-native full-stack applications on AWS, Refactor monolithic apps to microservices, and scale using Kubernetes

Lead the development of cutting-edge Edge AI applications that are the future of the Internet of Things. Leverage the Intel¨ OpenVINOª toolkit to fast-track development of high-performance computer vision and deep learning inference applications.

Gain practitioner-level skills with Python and learn the language powering transformation in Data Science, Machine Learning, and beyond.

Master the skills to get computers to understand, process, and manipulate human language. Build models on real data, and get hands-on experience with sentiment analysis, machine translation, and more.

Meet the growing demand for cybersecurity professionals by gaining the offensive security skills to protect an organizationÕs computer networks and systems.

Write programs to analyze images, implement feature extraction, and recognize objects using deep learning models.

Deploy and maintain infrastructure as code (IAC) securely with CloudFormation and Ansible, Create Continuous Integration / Continuous Delivery (CI/CD) pipelines with Jenkins

Develop professional-level skills focused on developing and deploying software robots. You will learn basic RPA concepts and how to use the UiPath RPA software platform to automate business processes while refreshing basic programming skills along the way.

The Developer for Microsoft Azure Nanodegree program teaches students how to deploy, build, migrate, and monitor applications on Azure, thereby preparing learners for success on MicrosoftÕs AZ-204 Azure Developer Associate Expert certification.

Meet the growing demand for full stack developers and learn to build rich web experiences using a modern architecture and technology stack.

Learn best practices for using the Agile methodology to build better products faster and more efficiently.

Master the Swift programming language, and create a portfolio of iOS apps for iPhone and iPad to showcase your skills!

Master autonomous flight software engineering skills as you build your career in flying cars and drone robotics.

Learn to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets

Complete real-world projects designed by industry experts, covering topics from asset management to trading signal generation. Master AI algorithms for trading, and build your career-ready portfolio.

Design impactful user experiences for products in todayÕs digital world. Build a portfolio that showcases your ability to transform user research to high-fidelity interactive designs.

Leverage data to build products that deliver the right experiences, to the right users, at the right time. Lead the development of data-driven products that position businesses to win in their market.

Envision and lead the product strategy of industry-defining products, and learn to successfully bring them to market. Influence the execution of product development as a Product Manager, one of the most highly-coveted roles in technology.

Learn how to plan, design and implement enterprise data infrastructure solutions. Create the blueprints for an organizationÕs data management system.

You will start by building data visualizations and dashboards, considering your audiences to be as effective as possible. Then, youÕll move into drafting presentations using storytelling techniques, visualizations, and animations to provide data-driven recommendations.

Get hands-on practice with over 80 data structures and algorithm exercises and guidance from a dedicated mentor to help prepare you for interviews and on-the-job scenarios.

Meet the growing demand for cloud native architects and learn to identify the best application architecture solutions for an organizationÕs needs.

Master Android app development with Kotlin, a modern programming language that enables developers to be more concise and productive. Build professional apps for the world's most popular mobile platform using Android Studio and Kotlin.

Design and develop modern web applications.Students will also learn how to deploy a Flask-based web application to the cloud using Docker and Kubernetes.

Learn foundational machine learning techniques -- from data manipulation to unsupervised and supervised algorithms.

Gain an in-depth understanding of Google Analytics and marketing analytics. Analyze data and build models with Excel, Data Studio, and create informative data visualizations with Tableau.

Prepare for a data science career by learning the fundamental data programming tools: R, SQL, command line, and git.

Use Python, SQL and Statistics to advance your programming skills and refine your ability to work with messy, complex datasets.

Learn to apply predictive analytics and business intelligence to solve real-world business problems.