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Course summary text: This course, "Artificial Intelligence and Machine Learning in Retail," is designed to provide a comprehensive understanding of how AI and ML technologies are transforming the retail industry. Participants will explore the various applications of AI and ML in retail, including inventory management, customer service, sales forecasting, personalization, and fraud detection. The course covers fundamental concepts, techniques, and tools used in AI and ML, with a focus on practical applications and real-world case studies. By the end of this course, participants will be equipped with the knowledge and skills to leverage AI and ML for enhancing retail operations, improving customer experiences, and driving business growth.

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Course summary text: Course Description Mobile analytics involves measuring and analysing data generated by mobile platforms and properties, such as mobile sites and mobile applications. AT Internet’s analytics solution lets you track, measure and understand how your mobile users are interacting with your mobile sites and mobile apps. Course Objective Data collected as part of mobile analytics typically includes page views, visits, visitors, and countries, as well as information specific to mobile devices, such as device model, manufacturer, screen resolution, device capabilities, service provider, and preferred user language. This data is typically compared against key performance indicators for performance and return on investment, and is used to improve a website or mobile marketing campaign's audience response.

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