Describe the Web Application Development Ecosystem and terminology like front-end developer, back-end, server-side, and full stack.

Identify the developer tools and integrated development environments (IDEs) used by web developers. 

Create and structure basic web pages using HTML and style them with CSS. 

Develop dynamic web pages with interactive features using JavaScript. 

Describe version control and its place in social and collaborative coding and in DevOps.

Explain basic Git concepts such as repositories and branches used for distributed version control and social coding.

Create GitHub repositories and branches, and perform pull requests (PRs) and merge operations, to collaborate on a team project.

Build your portfolio by creating and sharing an open-source project on GitHub.

Develop interactive user interfaces (UIs) and web applications using JavaScript technologies including React, JSX, and ES6.

Build dynamic front-end applications quickly and easily with reusable React components.

Employ various React concepts and features, including props, states, hooks, forms, and Redux.

Demonstrate your React skills by building several front-end applications such as a shopping cart.

Create server-side applications using the Node.js JavaScript run time. 

Extend your Node.js applications with third-party packages and frameworks, including Express. 

Use npm to manage Node.js packages in your Node.js application. 

Develop asynchronous callback functions and promises to complete asynchronous operations.   

Learn Python - the most popular programming language and for Data Science and Software Development.

Apply Python programming logic Variables, Data Structures, Branching, Loops, Functions, Objects & Classes.

Demonstrate proficiency in using Python libraries such as Pandas & Numpy, and developing code using Jupyter Notebooks.

Access and web scrape data using APIs and Python libraries like Beautiful Soup.

Describe the steps and processes involved in creating a Python application including the application development lifecycle

Create Python modules, run unit tests, and package applications while ensuring the PEP8 coding best practices

Explain the features of Flask and deploy applications on the web using the Flask framework

Create and deploy an AI-based application onto a web server using IBM Watson AI Libraries and Flask

Explain what a database is and create an entity relationship data model for a relational database.

Compose SQL queries to insert, select, update, and delete data in a database.

Use Django ORM to build object-oriented databases.

Integrate Bootstrap into your Django template and build interactive web pages.

Using containers, learn how to move applications quickly across any environment.

Build cloud native applications using Docker, Kubernetes, OpenShift, and Istio.

Describe and leverage Kubernetes architecture to set up and use an entire lifecycle-based container management system.

Create and leverage a YAML deployment file to configure and create resources such as pods, services, replicasets, and others in a declarative way.

Summarize the fundamentals of Microservices, their advantages, and contrast with monolithic architectures.

Create REST API endpoints and invoke them using cURL and Postman; Use SwaggerUI to document and test APIs.

Create, and deploy microservices using Docker containers and serverless technologies like IBM Code Engine.

Practice hands-on with labs and projects using a no-charge cloud-based environment.

Combine and apply your JavaScript, React.js, Python, Node.js, and Express skills by completing a real-world project.

Build a real-world web application using front end and back-end technology.

Deploy your Django full stack web application on the cloud using containers and serverless.

Practice DevOps principles by employing CI/CD pipelines.

Demonstrate mastery of skills and knowledge acquired in the IBM Full Stack Software Developer Professional Certificate.

Apply understanding of common technologies related to full-stack, front-end, and back-end application development.

Explain concepts in cloud computing, web development, HTML, CSS, JavaScript, GitHub, Python and Django programming, microservices, and containers.

Analyze and troubleshoot issues in software design, development, deployment, and operations.

Discuss how to generate code snippets, scripts, and programs using generative AI models

Apply techniques for application design and architecture, bug detection, code refactoring, and program optimization using generative AI

Develop innovative solutions using Gen AI-powered tools and models such as ChatGPT, GitHub CoPilot, Google Gemini, and IBM watsonx Code Assistant

Explain challenges and ethical considerations associated with using Generative AI for programming and options for mitigating them

Describe the role of a software engineer and some career path options as well as the prospective opportunities in the field.

Explain how to build a foundation for a job search, including researching job listings, writing a resume, and making a portfolio of work.

Summarize what a candidate can expect during a typical job interview cycle, different types of interviews, and how to prepare for interviews.

Explain how to give an effective interview, including techniques for answering questions and how to make a professional personal presentation.