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Our Courses
Java Programming and Software Engineering Fundamentals
Take your first step towards a career in software development with this introduction to Java—one of the most in-demand programming languages and the foundation of the Android operating system. Designed for beginners, this Specialization will teach you core programming concepts and equip you to write programs to solve complex problems. In addition, you will gain the foundational skills a software engineer needs to solve real-world problems, from designing algorithms to testing and debugging your programs.
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Course by
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Self Paced
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English
Automation with Ansible
Automation with Ansible is a fundamental course for deploying end-to-end automation. This course provides a secure and stable foundation for automating your environment. Ansible Automation helps organizations to create, share and manage the automation of tasks from development and operations to security and network teams. This course provides 3 hours of training videos which are segmented into modules. The course concepts are easy to understand through lab demonstrations.
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Course by
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Self Paced
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6 hours
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English
Linear Algebra for Machine Learning and Data Science
Newly updated for 2024! Mathematics for Machine Learning and Data Science is a foundational online program created by DeepLearning.AI and taught by Luis Serrano. In machine learning, you apply math concepts through programming. And so, in this specialization, you’ll apply the math concepts you learn using Python programming in hands-on lab exercises.
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Course by
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Self Paced
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22 hours
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English
Python Programming Fundamentals
This introductory course is designed for beginners and individuals with limited programming experience who want to embark on their software development or data science journey using Python. Throughout the course, learners will gain a solid understanding of algorithmic thinking, Python syntax, code testing, debugging techniques, and modular code development--essential skills for a successful career in software engineering, development, or data science.
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Course by
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Self Paced
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24 hours
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English
Automate Cybersecurity Tasks with Python
This is the seventh course in the Google Cybersecurity Certificate. These courses will equip you with the skills you need to apply for an entry-level cybersecurity job. You’ll build on your understanding of the topics that were introduced in the sixth Google Cybersecurity Certificate course. In this course, you will be introduced to the Python programming language and apply it in a cybersecurity setting to automate tasks. You'll start by focusing on foundational Python programming concepts, including data types, variables, conditional statements, and iterative statements.
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Course by
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Self Paced
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30 hours
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English
Introduction to Programming with Python and Java
This Specialization starts out by teaching basic concepts in Python and ramps up to more complex subjects such as object-oriented programming and data structures in Java. By the time learners complete this series of four courses, they will be able to write fully-functional programs in both Python and Java, two of the most well-known and frequently used programming languages in the world today. Introduction to Programming with Python and Java is for students and professionals who have minimal or no prior programming exposure.
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Course by
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Self Paced
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English
JavaScript Debugging Tips for Beginners
By the end of this project you will have used several techniques for debugging JavaScript code.
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Course by
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Self Paced
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3 hours
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English
Learn to Teach Java
Learn to teach introductory Java -- with a focus on the new Advanced Placement Computer Science A curriculum. Preview the CS Awesome curriculum with overview videos to help you prepare for class efficiently. Learn teaching tips and access supporting materials from an expert in CS education with 15+ years experience including advice on teaching debugging, code tracing (for answering multiple choice questions) and problem solving patterns. Complete activities specifically designed for teachers and create materials you can use in your classroom.
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Course by
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Self Paced
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English
FPGA Design for Embedded Systems
The objective of this course is to acquire proficiency with Field Programmable Gate Arrays (FPGA)s for the purpose of creating prototypes or products for a variety of applications. Although FPGA design can be a complex topic, we will introduce it so that, with a little bit of effort, the basic concepts will be easily learned, while also providing a challenge for the more experienced designer. We will explore complexities, capabilities and trends of Field Programmable Gate Arrays (FPGA) and Complex Programmable Logic Devices (CPLD).
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Course by
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Self Paced
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English
Developing Industrial Internet of Things
The courses in this specialization can also be taken for academic credit as ECEA 5385-5387, part of CU Boulder’s Master of Science in Electrical Engineering degree. Enroll here. In this specialization, you will engage the vast array of technologies that can be used to build an industrial internet of things deployment.
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Course by
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Self Paced
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English
Meta React Native
If you want to learn how to create apps for Android and iOS devices, this course is right for you. This program is taught by industry-recognized experts at Meta. Cross-platform mobile developers build and write code for apps that are hosted on mobile devices powered by multiple operating systems. They do everything from creating the app to debugging it after deployment.
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Course by
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Self Paced
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English
Mathematics for Machine Learning and Data Science
Newly updated for 2024! Mathematics for Machine Learning and Data Science is a foundational online program created by DeepLearning.AI and taught by Luis Serrano. In machine learning, you apply math concepts through programming. And so, in this specialization, you’ll apply the math concepts you learn using Python programming in hands-on lab exercises.
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Course by
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Self Paced
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English
App Deployment, Debugging, and Performance en Français
Dans ce cours, les développeurs d'applications apprennent à concevoir et à développer des applications cloud natives qui s'intègrent parfaitement aux composants de l'écosystème Google Cloud. À travers un ensemble de présentations, de démonstrations et d'ateliers pratiques, les participants découvrent comment créer des déploiements reproductibles en traitant l'infrastructure comme du code, en choisissant l'environnement d'exécution approprié pour une application et en surveillant les performances applicatives. Il est obligatoire de terminer une version de chaque atelier.
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Course by
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Self Paced
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English
Computing in Python I: Fundamentals and Procedural Programming
Learn the fundamentals of computing in Python, including variables, operators, and writing and debugging your own programs.
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Course by
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Self Paced
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English
Debugging Apps on Google Kubernetes Engine
This is a self-paced lab that takes place in the Google Cloud console. This lab teaches you how logging works on GKE and some best practices for log collection by going through some common logging use cases.
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Course by
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Self Paced
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1 hour
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English
Cloud Computing Security
In this MOOC, we will learn Cloud Computing basics using AWS as an example, We will guide you to create AWS account, planning AWS resources for your cloud systems, create AWS EC2 instances, access them and configure the popular LAMP web services with MySQL database. We will guide you to create user accounts for your programmer or operators using AWS Identify and Access management GUI, Register your domain name and setup DNS entry for your servers using AWS Route 53 in 22 mintues!
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Course by
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Self Paced
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13 hours
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English
Probability & Statistics for Machine Learning & Data Science
Newly updated for 2024! Mathematics for Machine Learning and Data Science is a foundational online program created by DeepLearning.AI and taught by Luis Serrano. In machine learning, you apply math concepts through programming. And so, in this specialization, you’ll apply the math concepts you learn using Python programming in hands-on lab exercises.
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Course by
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Self Paced
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29 hours
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English
Inheritance and Data Structures in Java
This course provides a comprehensive look at Java inheritance, including access modifiers and overriding methods. Students are introduced to abstract classes, and will learn how to read and write to files, use regular expressions for parsing text, and how to leverage complex data structures like collections and maps. Additionally, this course offers strategies for catching errors and debugging code, including an overview of Eclipse’s debugging tool.
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Course by
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Self Paced
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21 hours
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English
Operate Alibaba Cloud Systems and Services
Course description: ACA System Operator Certification Preparation Course is intended for individuals who have technical expertise in deployment, management and operations on Alibaba Cloud. It’s recommended for System administrators with at least one year of experience in deployment, management, and operations on Alibaba Cloud. ACA System Operator Certification is intended for individuals who have technical expertise in deployment, management, and operations on Alibaba Cloud.
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Course by
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Self Paced
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7 hours
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English
Debugging support for the Node.js runtime in VScode
In this 2-hour long project-based course, you will learn how to use the debugging tool associated with Visual Studio Code.
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Course by
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Self Paced
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2 hours
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English
Advanced R Programming
This course covers advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools. Topics covered include functional programming in R, robust error handling, object oriented programming, profiling and benchmarking, debugging, and proper design of functions. Upon completing this course you will be able to identify and abstract common data analysis tasks and to encapsulate them in user-facing functions.
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Course by
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Self Paced
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18 hours
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English
Securing and Integrating Components of your Application 日本語版
このコースでは、アプリケーション デベロッパー向けに、Google Cloud のマネージド サービスをシームレスに統合するクラウドネイティブ アプリケーションを設計、開発する方法を説明します。講義、デモ、ハンズオンラボを通して、メッセージング、イベント駆動型処理、API ゲートウェイを使ったセキュリティ性の高いアプリケーションの設計、フェデレーション ID 管理の実装、アプリケーション コンポーネントの統合方法を学習します。 各ラボのいずれかのバージョンを完了する必要があります。各ラボは Node.js で利用できるほか、ほとんどの場合、Python または Java でも提供されます。お好みの言語でラボを完了できます。 本コースは、「Developing Applications with Google Cloud」シリーズの 2 つ目のコースですこのコースを修了したら、「App Deployment, Debugging, and Performance」コースに登録してください。
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Course by
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Self Paced
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Japanese
IBM COBOL Basic Testing and Debugging
Welcome to IBM COBOL – Basic Testing and Debugging! By enrolling in this course, you are taking a big step in increasing your knowledge and hands on experience with IBM COBOL testing and debugging topics and technologies. In this course, you will describe common errors associated with working with COBOL. You will list file status codes. You will also describe the process of debugging COBOL code. So let’s get started!
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Course by
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Self Paced
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14 hours
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English
Python Basics: Problem Solving with Code
A lot of code is building up from the most basic primitive elements of the language to increasingly faithful and meaningful things. In this course you will see how to author more complex ideas and capabilities in Python. In technical terms, you will learn dictionaries and how to work with them and nest them, functions, refactoring, and debugging, all of which are also thinking tools for the art of problem solving. We'll use this knowledge to explore our browsing history, interrogate a tweet, and draw pictures.
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Course by
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Self Paced
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12 hours
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English
Modeling and Debugging Embedded Systems
This course can also be taken for academic credit as ECEA 5387, part of CU Boulder’s Master of Science in Electrical Engineering degree. This is part 3 of the specialization.
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Course by
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Self Paced
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8 hours
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English