Udacity Courses

Cyber-physical systems, such as automobiles, cars, and medical devices, comprise both a physical part and a software part, whereby the physical part of the system sends information about itself to the software part, and the software sends information, usually in the form of commands, to the physical part.

The objective of this course is to learn the theory and practice behind building automatic translators (compilers) for higher level programming languages and to engineer and build key phases of a compiler in Java or C++ for a small language.

"If debugging is the process of removing bugs, then programming must be the process of putting them in."Edsger W. Dijkstra

Data science job interviews can be daunting. Technical interviewers often ask you to design an experiment or model. You may need to solve problems using Python and SQL. You will likely need to show how you connect data skills to business decisions and strategy.

Understanding how to approach programming problems and devise a solution is an essential skill for any Python developer. In this course, you’ll learn new concepts, patterns, and methods that will expand your coding abilities from programming expert, Peter Norvig.

Stay at the cutting-edge of AI technology by gaining practical skills for deploying edge AI. Learn how to use the Intel® Distribution of the OpenVINO™ toolkit to deploy computer vision capabilities inside a range of edge applications. Leverage the potential of edge computing and use the Intel® Distribution of the OpenVINO™ toolkit to fast-track development of high-performance computer vision and deep learning inference applications.

Data and visual analytics is an emerging field concerned with analyzing, modeling, and visualizing complex high dimensional data.

In this course, Aaron Sarazan, Lead Software Engineer at Capital One and a leading advocate for Kotlin, demonstrates how to take a basic Android app in Java and convert it to Kotlin, teaching you key features of the Kotlin programming language along the way. This is an efficient, fast-paced introduction to Kotlin for experienced Java programmers.

We use websites all the time, but how does clicking a link in your browser or typing in a URL in the address bar get you to a website? How does the server know what information you're looking for or how to send you that information once it's figured that out? How can you protect your users from attackers? Dig into this course and you'll be able to answer these questions!

In the 21st century, embedded systems are the systems of future with cellular phones, smart-phones, tablets becoming the dominant platforms for computing and communication. The ubiquity of information and the associated need for the computation that accompanies it is driving this revolution only to be accelerated by the new paradigms such as the Internet-of-Things (IoT). These platforms are clearly very different in terms of their processing requirements which are very unique: real-time needs, high performance but at low energy, compact-code and data segments, and most importantly ever changing software stack. Such unique requirements have led to a complete redesign and reinvention of the both hardware and the software stack from ground up, for example, brand new processors such as ARM, DSPs, network processors were invented all the way up to new virtual machines such as Dalvik, new operating systems such as Android and new programming models and compiler optimizations.

This course is a selection of material from our larger Web Development course.

In this course, you will learn about the importance of data persistence when building an Android app. We'll introduce you to the fundamentals of SQL, the programming language needed to interact with an SQLite relational database. SQLite is a commonly used method to store large sets of data locally on an Android device.

In this course, you’ll learn how to pitch your business and secure the funding you’ll need to launch your new company. We’ll show you how to write clear, compelling, and targeted mission and vision statements, set quarterly and annual goals, and find mentors, co-founders, and contractors to provide help along the way. This will help you establish a strong foundation for your business and confidently pursue viable funding models, including bootstrapping, crowdsourcing, accelerators, incubators, and more. As the culmination of all of your hard work, you'll complete the course by developing your own unique pitch deck that you can use to secure investment, and launch your business.

This course covers methods for organizing your code, both conceptually and literally. You’ll learn the importance of separating concerns when writing JavaScript, gaining hands-on experience along the way. Separating concerns can be done with or without an organizational library or framework. We’ll learn how to separate concerns without one, and then we’ll explore an organizational library together. You’ll also learn strategies for exploring other libraries and frameworks on your own.

The world is trending in real time! Learn from Twitter to scalably process tweets, or any big data stream, in real-time to drive d3 visualizations using Apache Storm, the "Hadoop of Real Time." Storm is free, open source, and fun to use! Learn from Karthik Ramasamy, Technical Lead of Storm@Twitter, about the distributed, fault-tolerant, and flexible technology used to power Twitter’s real-time data flow pipeline. Twitter open sourced Storm in 2011, and it graduated to a top-level Apache project in September, 2014.

In this course, you’ll learn what documentation is and why it’s an important part of the development process. You'll learn how to build a well-structured README that you’ll be able to incorporate into your projects moving forward. By the end of this course, you will have written your very own README file using Markdown.

In this course, you’ll learn exactly what to expect during a machine learning interview. You’ll cover all the common questions and technical strategies, and review a range of important topics, from machine learning algorithms to image categorization. You’ll also learn best practices for data structure questions and whiteboard problems, and at the end of the course, you’ll get unlimited access to mock interviews on Pramp. Complete this course and hone your interview skills today!

Study physics abroad in Europe -- virtually! Learn the basics of physics on location in Italy, the Netherlands and the UK, by answering some of the discipline's major questions from over the last 2000 years.

Learn to architect and develop Android apps in the Kotlin programming language using industry-proven tools and libraries. With these techniques you'll create apps in less time, writing less code, and with fewer errors.

In this course, we will see all the advances that have led to the state-of-the-art operating system that we know today, covering variety of platforms -- cell phones, multi-core, parallel systems, distributed systems, and cloud computing.

As companies embrace remote work, managers need to adopt strategies tailored to globally distributed teams. In this course you'll learn the tools and develop the skills and strategies needed to hire, manage, and optimize remote teams. Udacity has developed this course in partnership with Upwork, the world's leading professional freelance platform. Managing Remote Teams gives you practical advice on how to build a culture that embraces remote workers and delivers bottomline results for your business. After taking this course, you'll be able to quickly apply remote-team best practices to your existing workforce, or begin building your remote workforce from scratch.

Learn how to deploy deep learning models on mobile and embedded devices with TensorFlow Lite. This course was developed by the TensorFlow team and Udacity as a practical approach to model deployment for software developers. You'll get hands-on experience with the TensorFlow Lite framework as you deploy deep learning models on Android, iOS, and even an embedded Linux platform. By the end of this course, you'll have all the skills necessary to start deploying your own deep learning models into your apps.

This course is a quick, fun introduction to using a relational database from your code, using examples in Python. You'll learn the basics of SQL (the Structured Query Language) and database design, as well as the Python API for connecting Python code to a database. You'll also learn a bit about protecting your database-backed web apps from common security problems.