Courses tagged with "CMS" (197)

In this introductory programming class, you’ll learn Object-Oriented Programming, a must-have technique for software engineers that will allow you to reuse and share code easily. You’ll learn by doing, and will build byte-sized (ha!) mini projects in each lesson to learn and practice programming concepts. We’ve heard that programming can be intimidating for newcomers, and we’ve created this course to make sure that you have a great learning experience! You’ll learn ***actively*** with our mini projects (see the awesome list below), which you’ll be able to share proudly with your friends. You’ll also learn important programming concepts one by one, with no surprises or leaps of logic along the way. You’ll pick up some great tools for your programming toolkit in this course! You will: - Start coding in the programming language Python; - Reuse and share code with Object-Oriented Programming; - Create and share amazing, life-hacking projects! This introductory course is for you if you want to be a software engineer, or if you want to collaborate with programmers. Mastering Object-Oriented Programming will propel your career in tech forward, and it’s also a great way to learn how software engineers think about solving problems. This course is also a part of our Full Stack Web Developer Nanodegree.

This class will give you an introduction to the fundamentals of programming languages. Key concepts include how to specify and process valid strings, sentences and program structures.

Prototyping allows you to spend ten minutes -- instead of ten hours -- finding an amazing design for your product. This course will guide you through the iterative process of prototyping an app and conducting user research. You will start by making a low fidelity paper prototype, conducting research with users, and using that research to inform your next iteration. Together with InVision we’ll guide you through creating interactive prototypes. This means you don’t have to code an app before putting it in front of users! Along the way, you’ll learn how and where prototyping fits into your app design process and how you can use prototyping to become a better entrepreneur. This course is part of our Tech Entrepreneur Nanodegree Program, click [here to learn more](https://www.udacity.com/course/tech-entrepreneur-nanodegree--nd007).

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. Starting from basic distributed concepts presented during our first Udacity-Twitter Storm Hackathon, link Storm concepts to Storm syntax to scalably drive Word Cloud visualizations with Vagrant, Ubuntu, Maven, Flask, Redis, and d3. Link to the public Twitter gardenhose stream to process live tweets, parse embedded URLs, and calculate Top worldwide hashtags. Extend beyond Storm basics by exploring multi-language capabilities in Python, integrate open source components, and implement real-time streaming joins. In your final project, follow real-time trending topics by implementing the data pipeline to visualize only tweets that contain Top worldwide hashtags. Extend your project by exploring the Twitter API, or any data source, alongside Hackathon participants as they design their own ideas, receive feedback from Karthik, and open source a final project calculating real-time tweet sentiment and geolocation to drive a U.S. Map.

You should take this course if you have an interest in machine learning and the desire to engage with it from a theoretical perspective. Through a combination of classic papers and more recent work, you will explore automated decision-making from a computer-science perspective. You will examine efficient algorithms, where they exist, for single-agent and multi-agent planning as well as approaches to learning near-optimal decisions from experience. At the end of the course, you will replicate a result from a published paper in reinforcement learning.

Did you know that images account for more than **60%** of the bytes on average needed to load a web page? In this course you will learn how to work with images on the modern web, so that your images look great and load quickly on any device. Along the way, you will pick up a range of skills and techniques to smoothly integrate responsive images into your development workflow. By the end of the course, you will be developing with images that adapt and respond to different viewport sizes and usage scenarios.

In this course you'll learn the fundamentals of responsive web design with Google's Pete LePage! You'll create your own responsive web page that works well on any device - phone, tablet, desktop or anything in between. You’ll start by exploring what makes a site responsive and how some common responsive design patterns work across different devices. From there, you’ll learn how to create your own responsive layout using the viewport tag and CSS media queries. As you proceed, you’ll experiment with major and minor breakpoints, and optimizing text for reading.

This course is designed to teach you about managing application containers, using Kubernetes. We've built this course in partnership with experts such as Kelsey Hightower and Carter Morgan from Google and Netflix’s former Cloud Architect, Adrian Cockcroft (current Technology Fellow at Battery Ventures), who provide critical learning throughout the course. Mastering highly resilient and scalable infrastructure management is very important, because the modern expectation is that your favorite sites will be up 24/7, and that they will roll out new features frequently and without disruption of the service. Achieving this requires tools that allow you to ensure speed of development, infrastructure stability and ability to scale. Students with backgrounds in Operations or Development who are interested in managing container based infrastructure with Kubernetes are recommended to enroll! In this course you will learn to: - Containerize an application by creating Docker config files and build processes to produce all the necessary Docker images - Configure and launch an auto-scaling, self-healing Kubernetes cluster - Use Kubernetes to manage deploying, scaling, and updating your applications - Employ best practices for using containers in general, and specifically Kubernetes, when architecting and developing new microservices

The Segmentation and Clustering course provides students with the foundational knowledge to build and apply clustering models to develop more sophisticated segmentation in business contexts. You will learn: - **The key concepts of segmentation and clustering, such as standardization vs. localization, distance, and scaling** - **The concepts of variable reduction and how to use principal components analysis (PCA) to prepare data for clustering models** - **How to choose between hierarchical and k-centroid clustering models** - **How to build and apply k-centroid clustering models** Throughout this course you’ll also learn the techniques to apply your knowledge in a data analytics program called Alteryx. This course is part of the Business Analyst Nanodegree Program.

In this course, you'll learn how to utilize Swift as a server-side language for building end-to-end applications that run on Linux and in the cloud. Whether you’re an Apple developer, a full stack developer, or just getting started with app development, this course offers an opportunity to master server-side Swift, while gaining vital transferable skills that can be used for any server-side development. Enroll in the course today, and you’ll enjoy a feature-packed learning experience that is fun, informative, and loaded with expert input from our partners at IBM.

A quick, one-lesson introduction to the Unix-style command-line environment. This course is intended to get you up to speed on the shell — using a terminal, managing files and directories, and running command-line programs.

This course covers the theory and practice of software analysis, which lies at the heart of many software development processes such as diagnosing bugs, testing, debugging, and more. It presents diverse techniques, each with their own strengths and limitations, for automating tasks such as testing, debugging, and finding bugs in complex real-world programs. These techniques include dataflow analysis, constraint-based analysis, type systems, model checking, symbolic execution, and more. The course teaches the principles underlying these techniques as well as imparts hands-on experience with using and implementing tools based on these techniques.

Software Architecture and Design teaches the principles and concepts involved in the analysis and design of large software systems. This course is split into four sections: (1) Introduction, (2) UML and Analysis, (3) Software Architecture, and (4) Software Design.

In this class you will learn how to debug programs systematically, how to automate the debugging process and build several automated debugging tools in Python.

This class is offered as CS6300 at Georgia Tech where it is a part of the [Online Masters Degree (OMS)](http://www.omscs.gatech.edu/). Taking this course here will not earn credit towards the OMS degree. In SDP, you will learn how to select and implement the ideal software process for your development project. Through Professor Orso's engaging examples and interviews with industry insiders, you will learn both conceptual and practical aspects of software engineering. The course covers requirements engineering, architecture and design, testing and maintenance, and software quality in general. The goal of this class is to equip you with the skills necessary to define requirements, set up an integrated development environment (IDE), learn Git (and Github!) and use Unified Modeling Language (UML) to design and build an Android application. We will also examine several testing practices and refactoring techniques that are helpful before the launch of your software project. While everyone working with software should have these skills, they are particularly important for Software Engineers and Engineering Managers.

When writing software, destruction can be just as valuable as creation. Learn how to catch bugs and break software as you discover different testing methods that will help you build better software.

We live in a time of unprecedented access to information. You'll learn how to use statistics to interpret that information and make decisions. San Jose State University

In this course, you’ll begin learning Swift, Apple's programming language for building iOS applications. You'll start with fundamentals and work your way towards understanding all the core principles necessary to get started creating your first app. At the end of the course, you'll complete a problem set of exercises designed to challenge your understanding of Swift and give you the opportunity to apply what you've learned.

This course offers a quick practical introduction to Swift basics, including types, variables, constants, and functions. It combines syntax exercises with hands-on iOS development in Xcode. By the end of the course students will build their first iOS app, an app that creates and displays song lyrics customized to user input.

This course is a journey into the biology of the human genome and will highlight the scientific, social, and personal perspectives of people living with a variety of traits.