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wish to learn strategy, technique and process of designing UX, and business leaders who wish to <br />understand and improve the UX engagement model in an agile environment, how stakeholders <br />collaborate with the design team, and how to inject design thinking in the product development <br />life cycle. You will learn valuable UX principles, tactics, and techniques and how product teams <br />can easily incorporate design, experimentation, iteration, and continuous learning from real users <br />into their Agile process, how and when to introduce what user research in different phases of <br />product development. This course will position you as a professional UX designer, or pro-UX <br />business leader in fast moving agile process. <br />MB604 Machine Learnmg F.pndamed�al}(I S units) <br />The Machine Learning course provides students with the ability to apply machine learning or <br />predictive analytics methods. Machine learning models covered include classifiers, regression <br />and unsupervised learning. Some more advanced topics, such as, deep learning models are <br />introduced. In this course, you will learn how to apply machine learning to creating data driven <br />solutions to business problems, query data sources for both training machine learning models and <br />production models. You will also learn how to construct, evaluate, and cross -validate <br />classification and regression models to predict value in production and how to construct <br />unsupervised learning models to discover and understand structure in unlabeled data sets, <br />develop and understand deep learning models and their relationship to other machine learning <br />models. <br />The course offers an executable guide for applying AI to business problems. AI -First companies <br />are the only trillion -dollar companies, and soon they will dominate even more industries, more <br />definitively than ever before. These companies succeed by design - they collect valuable data <br />from day one and use it to train predictive models that automate core functions. As a result, they <br />learn faster and outpace the competition in the process, <br />The course focuses on helping participants understand various aspects of AI as applicable to <br />business including identifying the most valuable data, building the teams that build AI, <br />integrating Al with existing processes and keep it in check, measure and communicate its <br />effectiveness and reinvest the profits from automation to compound competitive advantage. It's <br />not about building the right software - it's about building the right AI. <br />The pedagogy for the course will include a combination of classroom sessions that cover <br />foundational concepts of Al, case -study discussions of how Al has been used in businesses and <br />student projects. Each student will be involved in a real -life Al business project where they will <br />Page 48 of 65 <br />