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Mobile App Development with Full Stack and AI ML Analytics

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Course ObjectivesBuild robust, responsive mobile apps using cross-platform frameworks.Architect full-stack systems with secure APIs, cloud services, and scalable back-end infrastructures.Design, train, and deploy AI/ML models optimized for mobile platforms.Integrate in-app analytics dashboards for data-driven decision-making.Apply agile methods and DevOps practices to streamline development and deployment.Learning OutcomesBy the end of this course, learners will be able to:Design mobile applications with professional-grade UI/UX.Develop and connect front-end apps with back-end services and databases.Embed AI/ML intelligence into mobile apps for real-time recommendations, predictions, or image/NLP processing.Use cloud and DevOps pipelines to deploy, monitor, and update applications securely.Build in-app dashboards to track user behavior, performance, and business KPIs.Deliver a complete AI-powered app as a portfolio project.


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