This course provides an end-to-end roadmap for mastering mobile application development combined with full-stack engineering and artificial intelligence (AI)/machine learning (ML) analytics. Designed for students, developers, and technology professionals, the program builds from core mobile app principles to advanced integration of intelligent features and data-driven insights.

Participants first gain a foundation in mobile user experience design, cross-platform development frameworks, and agile workflows. The course then explores server-side development, database integration, API design, and cloud deployment, ensuring students can build secure, scalable applications.

Parallel modules cover AI and ML concepts tailored for mobile platforms. Students learn how to design, train, and optimize ML models using frameworks such as TensorFlow Lite, PyTorch Mobile, and Core ML, then embed them into apps for real-time intelligence. Data engineering and visualization techniques are introduced to create in-app analytics dashboards and deliver actionable insights.

The course is structured around practical exercises and a multi-stage capstone project that walks through every step of the modern app development lifecycle—from ideation and design to deployment and monitoring. By the conclusion, learners will have created and deployed a portfolio-ready, AI-powered mobile application with full-stack support and analytics features.

This rigorous program equips graduates with both depth and breadth: technical fluency across mobile and back-end systems, competency in AI/ML integration, and the ability to analyze user data for continuous improvement.