(SCTP) Advanced Certificate in AI Application Development (Synchronous & Asynchronous E-Learning)
About This Course
The Advanced Certificate in AI Application Development equips learners with essential skills to excel as front-end AI application developers, integrating cutting-edge AI technologies into web development. The program spans four modules, each focusing on core elements of front-end development.
The journey begins with the Programming Fundamentals module, covering object-oriented programming and testing techniques. Participants learn to craft efficient, well-documented code, emphasizing industry best practices in AI application development.
Next, the User Interface Design module immerses learners in web design principles, HTML, CSS, and responsive design using Bootstrap. They gain expertise in JavaScript, jQuery, and single-page application development, mastering interactive features and performance optimization. Proficiency in consuming APIs to fetch and present data adds dynamic functionality to applications.
The Database Design Principles module focuses on essential database management principles tailored for AI applications. Participants master normalization techniques and both relational and NoSQL database systems, learning to optimize databases for AI-driven functionalities. Practical exercises refine skills in testing, documentation, and constructing robust database architectures.
The Gen AI module explores the convergence of artificial intelligence and web development. Learners leverage generative AI algorithms for dynamic web applications, grasping prompt engineering and GitHub Copilot to facilitate seamless AI interactions. Real-world case studies illustrate the transformative potential of Generative AI across industries.
Upon completing the course, learners emerge as proficient AI Application Developers, adept at integrating Generative AI into web applications. They excel in crafting responsive designs, implementing interactive features, and optimizing performance for seamless user interactions.
What You'll Learn
• Recall key concepts of web design principles, including layout, typography, and color theory.
• Identify tools, and techniques required to build interactive and data-driven web applications.
• Comprehend the database fundamentals, design concepts, and normalization techniques to construct robust and efficient database systems.
• Describe the testing methods to ensure the high quality and reliability of the developed applications.
• Explore prompt engineering and GitHub Copilot
Skills Outcomes:
• Implement generative AI algorithms in web development projects.
• Develop an interactive web application using generative AI techniques.
• Craft personalized user experiences and unique visual content through generative AI models.
• Automate the design process and streamline web development workflows using generative AI.
• Create innovative and engaging user experiences through the integration of generative AI in web development projects.
Ability Outcomes:
Proficient in integrating generative AI algorithms to automate design processes, enhance user experiences, and create innovative web applications with personalized content and streamlined workflows.
Entry Requirements
Academic Level Required:
• Minimum one credit in NITEC in STEM or its equivalent ; [OR]• Matured candidates of 30 years and above with 8 years of relevant work experience.
Language Proficiency:
-IELTS - 5.5 or its equivalent
Minimum Age Required:
21