Online courses directory (197)

Any meaningful experience on the web has a form. Whether it's a form made of text boxes, toggles, buttons, checkboxes, or touchable widgets, web developers need to be purposeful about forms to make users happy and increase [conversions](https://en.wikipedia.org/wiki/Conversion_marketing). In this course, you'll learn best practices for modern forms as taught by Google's Ido Green and Udacity's Cameron Pittman. You'll practice your skills along the way with a few self-directed projects, including an e-commerce checkout and an event planner app! As a special treat, you'll also watch a series of interviews with Luke Wroblewski, Google Product Director and author of [Web Form Design](http://www.lukew.com/resources/web_form_design.asp), to get his take on interactions for the modern web.

In this course, you’ll learn how to setup your development, get super productive during daily work and iteration, prevent yourself and your site from disasters and save a lot of time and effort with automatic optimization and automation. Finally, you’ll learn how to do all this while being confident your code runs on a multitude of devices in the real world.

*This is the second course in the 3-course Machine Learning Series and is offered at Georgia Tech as CS7641. Taking this class here does not earn Georgia Tech credit.* Ever wonder how Netflix can predict what movies you'll like? Or how Amazon knows what you want to buy before you do? The answer can be found in Unsupervised Learning! Closely related to pattern recognition, Unsupervised Learning is about analyzing data and looking for patterns. It is an extremely powerful tool for identifying structure in data. This course focuses on how you can use Unsupervised Learning approaches -- including randomized optimization, clustering, and feature selection and transformation -- to find structure in unlabeled data. **Series Information**: Machine Learning is a graduate-level series of 3 courses, covering the area of Artificial Intelligence concerned with computer programs that modify and improve their performance through experiences. - [Machine Learning 1: Supervised Learning](https://www.udacity.com/course/ud675) - [Machine Learning 2: Unsupervised Learning](https://www.udacity.com/course/ud741) (this course) - [Machine Learning 3: Reinforcement Learning](https://www.udacity.com/course/ud820) If you are new to Machine Learning, we suggest you take these 3 courses in order. The entire series is taught as an engaging dialogue between two eminent Machine Learning professors and friends: Professor Charles Isbell (Georgia Tech) and Professor Michael Littman (Brown University).

This course introduces students to the real world challenges of implementing machine learning based trading strategies including the algorithmic steps from information gathering to market orders. The focus is on how to apply probabilistic machine learning approaches to trading decisions. We consider statistical approaches like linear regression, KNN and regression trees and how to apply them to actual stock trading situations.

This course is focused squarely on user experience, and seeks to show developers how thinking offline-first is the best way to ensure that applications perform their best in all scenarios, not just ideal ones. You'll learn to recognize the differences between good, poor, intermittent, and missing connectivity for your users , and master how to make applications that navigate these conditions with ease. Using the skills you master in this course, you'll conclude by building an app that that works both online and offline, and loads in new data when it can. You'll be a master of the cache! Your web apps will interact with the network just like native apps do. This will lead to better user experiences even in traditionally challenging connection scenarios like being stuck in a train tunnel, having to rely on over-crowded conference Wi-Fi, or traveling through a cellular “dead zone!”

This course covers everything a developer needs to know to asynchronously send and receive data in their web applications. You'll dive into how asynchronous requests work by using the XHR object to create and send asynchronous requests for image and news article data. Then, you'll see how you can perform async requests more easily using third-party libraries and APIs like jQuery's Ajax and the Fetch API.

**Machine learning** is one of the fastest-growing and most exciting fields out there, and **deep learning** represents its true bleeding edge. In this course, you’ll develop a clear understanding of the motivation for deep learning, and design intelligent systems that learn from complex and/or large-scale datasets. We’ll show you how to train and optimize basic neural networks, convolutional neural networks, and long short term memory networks. Complete learning systems in TensorFlow will be introduced via projects and assignments. You will learn to solve new classes of problems that were once thought prohibitively challenging, and come to better appreciate the complex nature of human intelligence as you solve these same problems effortlessly using deep learning methods. We have developed this course with Vincent Vanhoucke, Principal Scientist at Google, and technical lead in the Google Brain team. ***Note**: This is an intermediate to advanced level course offered as part of the [Machine Learning Engineer Nanodegree](https://www.udacity.com/course/machine-learning-engineer-nanodegree--nd009) program. It assumes you have taken a first course in machine learning, and that you are at least familiar with supervised learning methods.*

Learn how to handle asynchronous work with ease! In this course, you'll use Native JavaScript Promises to write asynchronous code that is easy to read, easy to write and easy to debug. Along the way, you'll be using Promises to make a webapp come to life!

In this course, you’ll learn how to use Firebase from the experts at Google. Firebase is an app development platform that provides developers with a variety of tools and a scalable infrastructure so that you can quickly build high quality apps. In this course, you’ll build FriendlyChat, a realtime text and picture chat application. To start, you’ll see how easy it is to read and write data to Firebase. After that, you’ll learn how to let users login with their email or Google account. You’ll then learn how to use Firebase’s Security and Rules language to secure and add permissions to your data. In the second lesson, you’ll learn about Firebase Storage, which lets users upload content from their devices. Then you’ll have a brief overview of Firebase Analytics so you can analyze app usage data to make decision about your app. Following that, you’ll explore Firebase Notifications, which allow you to send notifications to customized segments of users. Finally, you’ll dive into Firebase Remote Config, which gives you the ability to tune and customize your app without having to publish a new version. By the end of this course you will have an Android application that can store and share data between different users in realtime as well as authenticate and authorize those users.

In this course you’ll get started working on your very first Progressive Web App - a web app that can take advantage of many of the features native applications have enjoyed. You’ll also get more experience in creating a web app that works offline using Service Workers. Finally, you’ll make your app installable to the user’s home screen with the Web App Manifest file.

Test course only - please ignore if you see this

At first it may seem strange to consider monetization before a game is even completed, and many developers leave this as an afterthought. But monetization should be built into the fabric of a game from the beginning, because a clearly defined and understood monetization strategy can have tremendous impact on design decisions made during the development process. This kind of forward-thinking approach is especially important in today’s highly competitive game market, and keeping monetization strategy front-of-mind throughout can be the difference between product success and failure. This course will teach you how to make your game stand out in a very crowded field, and encourage people to pay for game features that will define the ultimate success of your product. Currently, most game apps are free to play, and many users are looking for something simple and entertaining without the risk of making a purchase. We'll look at the most successful premium and freemium games, and discuss the most effective strategies for monetization. Our goal in this course is to teach students how to design games that produce sustainable revenue over the long-term.

Are you ready to conquer your next interview? To succeed, you need to understand the expectations. Virtually all technical interviews follow a very set pattern: you get asked a very specific type of question, you're required to have very specific knowledge, and you're expected to answer—and interact with your interviewer—in a very particular way. Knowing this in advance, and preparing accordingly, is the key to success. This course was designed to give you what you need to ace a technical interview. Included are: - videos that walk you through the algorithms and data structures concepts commonly asked in technical interviews - an explanation of efficiency, and an explanation of how it relates to topics covered throughout the class - practice problems and quizzes to test your understanding - a mock interview with a breakdown explaining how interviewers expect you to explain your thought process - curated links to outside resources, including a special link to live practice interviewing with other Udacity students on Pramp - if you’re a Nanodegree student, a final project where you can answer interview questions and get feedback from a trained reviewer. The goal of this course is to prepare you for a real technical interview, so we focus on the material you'll actually be expected to do.

In this course, you'll learn how to automate and improve the mobile development process by using buddybuild's continuous integration and deployments tools. While learning these tools, you'll write unit and UI tests to ensure app functionality and interface workflows. You'll also simplify the steps necessary to deliver test and production versions of your apps into the hands of users.

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 is part of our Tech Entrepreneur Nanodegree Program, click [here to learn more](https://www.udacity.com/course/tech-entrepreneur-nanodegree--nd007).

Learn how to tackle big data problems with your own Hadoop clusters! In this course, you’ll deploy Hadoop clusters in the cloud and use them to gain insights from large datasets.

Learn the fundamentals of data visualization and practice communicating with data. This course covers how to apply design principles, human perception, color theory, and effective storytelling with data. If you present data to others, aspire to be a business analyst or data scientist, or if you’d like to become more effective with visualization tools, then you can grow your skills with this course. This course is part of both the Business Analyst and Data Analyst Nanodegree Programs.

This course presents an overview of a variety of Web backend topics: handling user input, producing templated output, storing information in databases and data stores, and building systems with secure user accounts.

ECMAScript 6, or ES6, has brought about a ton of changes to the JavaScript programming language. In this course, you'll explore those changes to learn about the latest features and improvements to the language including new keywords, arrow functions, the Class syntax, Promises, and so much more. Discover how much cleaner and more concise your JavaScript code can be!

This course will introduce you to the content available through the Google Maps APIs. You’ll be walked through building a real-estate listings site step-by-step, using a beautifully styled Google map, data visualization, street view panoramas, and various nifty location related features such as calculating distance between locations, getting directions, and viewing places of interest data. You’ll also see other examples of Google Maps APIs in action, and understand how to put your new knowledge into practice by creating your own Project in the Google APIs Console.