(SCTP) PROFESSIONAL DIPLOMA IN FULL STACK WEB DEVELOPMENT (Synchronous and Asynchronous E-Learning)
About This Course
The "Professional Diploma in Full Stack Web Development" prepares learners for dynamic careers in web development, offering abundant job prospects and opportunities. Graduates can pursue roles like Full Stack Web Developer, Front-End Developer, Back-End Developer, and Application Developer. The course covers essential modules, including User Interface Design, Programming Fundamentals, Database Design Principles, Web Development Design, Enterprise Software Development, and Gen AI Design & Development.
In the User Interface Design module, learners acquire skills in web design and front-end development tools. Programming Fundamentals covers programming basics and object-oriented programming. The Database Design principles module focuses on database design and normalization techniques.
Web Development Design equips learners with skills in SDLC, back-end development, MVC pattern implementation, and comprehensive testing. Enterprise Software Development covers software architecture, business logic, integration, user interface development, testing, deployment, and maintenance.
The Gen AI Design & Development module explores the use of generative AI algorithms in web development, with a focus on Generative AI principles, Prompt Engineering, and GitHub CoPilot. Real-world case studies illustrate the transformative potential of Generative AI.
The Capstone Project-Application Implementation module allows learners to apply agile project management methodologies to real-world software implementation challenges. Overall, the diploma offers a comprehensive curriculum that prepares learners for success in full-stack web development, enabling them to contribute to innovative web applications and enterprise software solutions.
What You'll Learn
The learning outcomes of this course are.
Knowledge
• Explain the agile project management concepts and principles in application design, development, and testing methodologies.
• List the advantages and disadvantages of various program paradigms, software development life cycles, and testing methods.
• Recognize UI/UX principles and to develop customer-centric, and data-driven applications.
• Articulate the use of design patterns, frameworks, and testing methods to ensure that the developed applications meet high standards of quality and reliability.
• Demonstrate strong problem-solving and critical thinking skills to analyze complex situations, identify innovative solutions, and make informed decisions through Generative AI.
Skills
• Develop interactive web applications using generative AI techniques, following agile project management principles to adapt to changing requirements and deliver value iteratively.
• Incorporate generative AI algorithms seamlessly into data-driven enterprise software development projects.
• Automate the design process and streamline web development workflows using generative AI, facilitating agile project management practices.
• Choose suitable tools, techniques, design patterns, frameworks, and software methodologies to develop robust and efficient applications.
• Execute appropriate testing methods, procedures, and tools to ensure the software's quality and reliability.
Ability
Proficient in incorporating generative AI algorithms to automate design processes, improve user experiences, and develop innovative web applications featuring tailored content and efficient workflows in the development of data-driven enterprise applications.
Entry Requirements
Academic Level Required:
A' Level or equivalent OR ADVANCED CERTIFICATE IN WEB DEVELOPMENT OR Polytechnic Diploma or equivalent
Language Proficiency:
Minimum IELTS 5.5 or its Equivalent
Work Experience Required:
2 years of programming experience
Minimum Age Required:
20