IBM Full Stack Software Developer Professional Certificate
Completed by mathapelo stephan molotsi on March 18, 2026
Verified learner ·
Badge ID: JpxoOeC2R5WcaDngtieVPQ
About this Badge
Prepare for a career as a full stack developer. Build job-ready skills – and must-have AI skills – for an in-demand career
Learning objectives
- Develop and deploy full-stack applications using HTML, CSS, JavaScript, React, Node.js, Django, and SQL, incorporating CI/CD pipelines and containerization technologies like Docker and Kubernetes.
- Create and manage RESTful APIs and microservices with Python and Flask, and implement serverless architectures on cloud platforms such as IBM Cloud Code Engine.
- Utilize Git and GitHub for version control and collaborative development, mastering workflows such as branching, merging, and forking to build and share open-source projects.
- Apply foundational programming skills in Python for data manipulation, AI application development, and web scraping, leveraging libraries like NumPy, Pandas, and BeautifulSoup.
Skills learned
- Cloud Computing Architecture
- Hybrid Cloud Computing
- Verbal Communication Skills
- JavaScript Frameworks
- Relational Databases
- Software Development Life Cycle
- Test Automation
- Software Design Patterns
- Software Development Tools
- Software Development Methodologies
- Model View Controller
- Open Source Technology
- Large Language Modeling
- Integrated Development Environments
- Natural Language Processing
- Unified Modeling Language
- Emerging Technologies
- Browser Compatibility
- Responsive Web Design
- UI Components
- Responsible AI
- Server Side
- Artificial Intelligence
- Serverless Computing
- Vibe coding
- Problem Solving
- Interviewing Skills
- Application Frameworks
- Application Deployment
- Code Review
- IBM Cloud
- Restful API
- Version Control
- Relationship Building
- Virtual Machines
- API Gateway
- Web Scraping
- Unit Testing
- Cloud Platforms
- AI Workflows
- Programming Principles
- Python Programming
- Cloud Infrastructure
- Web Servers
- User Accounts
- Web Applications
- Generative AI
- Cloud Deployment
- Agentic systems
- Data Structures
- Prompt Engineering
- Cloud Applications
- Collaborative Software
- Cloud Computing
- Computer Science
- Dataflow
- Kubernetes
- Node.JS
- Professionalism
- React.js
- Data Manipulation
- Professional Development
- Authentications
- Jupyter
- MongoDB
- OpenShift
- Containerization
- DevSecOps
- GitHub
- JSON
- Microservices
- Middleware
- NumPy
- Scalability
- YAML
- Cloud Storage
- Database Design
- Cloud Services
- Computer Programming
- Development Environment
- Data Ethics
- AI Security
- Application Development
- Application Security
- Javascript
- Software Architecture
- Software Documentation
- Cloud Security
- Application Design
- Scripting
- DevOps
- Software Engineering
- Web Development
- Databases
- SQL
- Database Management
- Content Management
- Automation
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Learning content completed
Some of the content and skills presented have been contributed by the content provider.