IBM Full Stack Software Developer

Overview

Syllabus

Courses

• 3 reviews

  1 day 1 hour 3 minutes

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  Kickstart your learning of Python with this beginner-friendly self-paced course taught by an expert. Python is one of the most popular languages in the programming and data science world and demand for individuals who have the ability to apply Python has never been higher. This introduction to Python course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn about Python basics and the different data types. You will familiarize yourself with Python Data structures like List and Tuples, as well as logic concepts like conditions and branching. You will use Python libraries such as Pandas, Numpy & Beautiful Soup. You’ll also use Python to perform tasks such as data collection and web scraping with APIs. You will practice and apply what you learn through hands-on labs using Jupyter Notebooks. By the end of this course, you’ll feel comfortable creating basic programs, working with data, and automating real-world tasks using Python. This course is suitable for anyone who wants to learn Data Science, Data Analytics, Software Development, Data Engineering, AI, and DevOps as well as a number of other job roles.
• 1 review

  12 hours 27 minutes

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  Start your cloud computing journey with this self-paced introductory course! Whether you need general cloud computing knowledge for school or business, or you are considering a career change, this beginner-friendly course is right for you. In this course you’ll learn about essential characteristics of cloud computing and emerging technologies supported by cloud. You’ll explore cloud service models, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), and Public, Private, and Hybrid deployment models. Discover the offerings of prominent cloud service providers AWS, Google, IBM, Microsoft, and others, and review cloud computing case studies. Learn about cloud adoption, blockchain, analytics, and AI. You will learn about the many components of cloud computing architecture including datacenters, availability zones, virtual machines, containers, and bare metal servers. You will also familiarize yourself with different types of cloud storage options, such as Object Storage. You’ll gain foundational knowledge of emergent cloud trends and practices including Hybrid, Multicloud, Microservices, Serverless, DevOps, Cloud Native, Application Modernization, as well as learn about cloud security and monitoring. You’ll also explore cloud computing job roles and possible career paths and opportunities. You will complete a number of labs and quizzes throughout this course to increase your understanding of course content. At the end of the course, you will complete a final project where you will deploy an application to Cloud using a serverless architecture, a valuable addition to your portfolio. After this course, check out the related courses to help you towards your new career as a cloud engineer, full stack developer, DevOps engineer, cybersecurity analyst, and others.
• 0 reviews

  17 hours 42 minutes

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  Take the next step in your software engineering career by getting skilled in container tools and technologies! The average salary for jobs that require container skills is $137,000 in the US according to salary.com, making Devops professionals and developers with these skills highly in demand. More than 70 percent of Fortune 100 companies are running containerized applications. But why? Using containerization, organizations can move applications quickly and seamlessly among desktop, on-premises, and cloud platforms. In this beginner course on containers, learn how to build cloud native applications using current containerization tools and technologies such as Docker, container registries, Kubernetes, Red Hat, OpenShift, and Istio. Also learn how to deploy and scale your applications in any public, private, or hybrid cloud. By taking this course you will familiarize yourself with: - Docker objects, Dockerfile commands, container image naming, Docker networking, storage, and plugins - Kubernetes command line interface (CLI), or “kubectl” to manipulate objects, manage workloads in a Kubernetes cluster, and apply basic kubectl commands - ReplicaSets, autoscaling, rolling updates, ConfigMaps, Secrets, and service bindings - The similarities and differences between OpenShift and Kubernetes Each week, you will apply what you learn in hands-on, browser-based labs. By the end of the course, you’ll be able to build a container image, then deploy and scale your container. The skills taught in this course are essential to anyone in the fields of software development, back-end & full-stack development, cloud architects, cloud system engineers, devops practitioners, site reliability engineers (SRE), cloud networking specialists and many other roles.
• 0 reviews

  17 hours 54 minutes

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  Do you want to learn about developing applications that are cloud native right from conception to implementation? In this course, you’ll begin with some crucial cloud concepts such as Cloud Native Applications, CNCF and Hybrid Cloud. You will dive into specific tools and techniques for developing cloud native apps. You’ll then learn how to use CLI to develop, test and deploy applications for IBM Cloud with the use of Node.js . You will further use DevOps to maintain application development using Web IDE features, Git repository and Delivery Pipeline. You will familiarize yourself with concepts like REST Architecture, JSON and Watson API. You will also look at two key areas of cloud thinking: modernization and continuous integration/continuous delivery. Throughout this course you will practice with hands-on labs and gain skills with tools used by professionals! Lastly you will complete a final project where you will build your own CI/CD enabled application with a NoSQL database and have a great addition to your portfolio.
• 0 reviews

  16 hours 5 minutes

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  Note: This course has been replaced by the following two IBM courses: - Developing Front-End Apps with React - Developing Back-End Apps with Node.js and Express Are you ready to learn about some of the most in-demand libraries in back-end and front-end development? This is the course for you! In a recent Stack Overflow survey, JavaScript was ranked as the most commonly used programming language. Node.js and React.js were voted as the most popular web frameworks and technologies. In this course, you will learn how to develop applications using Node.js, Express and React. Specifically, you will: - Explore how Node.js works by using callback functions and extend your Node.js applications by importing external modules - develop applications using asynchronous callbacks and promises - Use routing, middleware, and template rendering to extend the Node.js framework and handle dynamic content - create REST APIs and perform CRUD operations - Extend features of Node.js applications using the Express web application framework - Build a rich front-end application using REACT & ES6 Throughout the course, you will complete numerous hands-on labs to gain practical experience. At the end of the course, you will demonstrate your Node and React skills with a final project to build your portfolio. This course will help you succeed as a full-stack developer. It suits those in IT looking to step up in their careers or new graduates seeking to establish their server-side skills. This course suits those who need to manage cloud-centric projects.
• 1 review

  11 hours 11 minutes

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  This mini course is intended to apply basic Python skills for developing Artificial Intelligence (AI) enabled applications. In this hands-on project you will assume the role of a developer and perform tasks including: - Develop functions and application logic - Exchange data using Watson AI libraries - Write unit tests, and - Package the application for distribution. You will demonstrate your foundational Python skills by employing different techniques to develop web applications and AI powered solutions. After completing this course, you will have added another project to your portfolio and gained the confidence to begin developing AI enabled applications using Python and Flask, Watson AI libraries, build and run unit tests, and package the application for distribution out in the real world.
• 0 reviews

  16 hours 56 minutes

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  Show your mastery of full stack application development by completing this capstone project! In this course, you will apply your knowledge and skills to a real-life inspired challenge and use your expertise to develop a successful solution. The project provides you with an opportunity to solidify your full stack proficiency. As you design a dynamic user experience, you will develop frontend pages, add user administration, build actions for database operations, create backend services, and configure CI/CD pipelines. You will boost your capabilities with HTML, CSS, JavaScript, Django, React, Node js and NoSQL (Mongo), Containerization, IBM Code Engine, Python, and Kubernetes. Then you will devise a solution for managing the containerized deployment of your application. This project is created for you to apply knowledge of relevant and in-demand skills such as: - Designing applications and their architecture - Creating web frontends with static and dynamic pages using HTML, CSS, JavaScript and REACT - Implementing user management and authentication - Developing backend services and communicating with databases - Continuously Integrating and Deploying changes using CI/CD pipelines - Deploying serverless applications on Code Engine - Creating and invoking RESTful microservices - Deploying the entire solution on Cloud using Kubernetes When you complete this project, you will have a working Full Stack application showpiece that will impress potential employers. Before completing this project, it is highly recommended that you complete all the prior courses offered in the IBM Full Stack Software Developer Professional Certificate.
• 0 reviews

  6 weeks

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  Want to take the first steps to become a Cloud Application Developer? This course will lead you through the languages and tools you will need to develop your own Cloud Apps.
  
  Beginning with an explanation of how internet servers and clients work together to deliver applications to users, this course then takes you through the context for application development in the Cloud, introducing front-end, back-end, and full-stack development.
  
  You’ll then focus on the languages you need for front-end development, working with HTML, CSS, and JavaScript.
  
  Finally, you will discover tools that help you to store your projects and keep track of changes made to project files, such as Git and GitHub.
• 0 reviews

  14 hours 59 minutes

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  Welcome to this introductory course on microservices and serverless, essential technologies for cloud native and application modernization workloads. Rather than building large applications, known as monoliths, that perform all the functionality, microservices break down larger applications into smaller pieces that are independently maintainable and scalable, providing a host of benefits. This architecture is now used in the largest software organizations in the world, because it provides cost benefits, team autonomy, and other advantages. Likewise, serverless has emerged as an increasingly popular compute option in the cloud era. Giving developers and operators the ability to run applications without managing underlying infrastructure. In this course, you will create microservices using various methodologies. You will create REST APIs using Python and Flask. Next, you will learn the basics of Serverless applications, and how to run your applications on the IBM Cloud Code Engine. The course contains several hands-on labs which allow you to practice and apply the content you learn in the course. In the final project, you will create a front-end application composed of several microservices and deploy them on the Cloud using serverless.
• 0 reviews

  18 hours

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  Developers need access to data, and data is stored in databases. You need to learn how to get access to the data you need, quickly and securely. This course introduces you to different types of databases: Relational and NoSQL and explains how the type of database you choose determines how you access the data stored within it. You’ll practice using SQL commands to extract data from a Relational database, and use the Django Object Relational Model (ORM) to develop an application that extracts data from a NoSQL database.
  
  The security of data while at rest or in transit is of prime concern, so in this course, you'll discover some best practices for securing data and databases in a cloud environment and demonstrate how to apply them by adding authentication and encryption to your Django application.
  
  Course Learning Objectives:
  
  - Discuss the differences between relational and NoSQL databases.
  - Compose SQL queries to insert, select, update, delete, and join data in a database.
  - Explain Object Relational Model (ORM),
  - Employ Django ORM to develop database-powered applications.
  - Describe and best practices in secure cloud development, and apply by adding authentication and encryption to your application

Taught by

Alex Parker, Joseph Santarcangelo, Ramesh Sannareddy, Rav Ahuja, Upkar Lidder and Yan Luo

Tags

• united states