Discover cutting-edge marketing techniques and harness AI for creative content, personalized experiences, and data-driven strategies, revolutionizing digital-age marketing approaches.
Completion of this track means you will graduate with a Master's in Marketing with a Specialization in Generative AI.
Explore the forefront of marketing innovation and delve into cutting-edge techniques to harness the power of AI to create content and enable hyper-personalized marketing experiences. Acquire the skills to leverage AI-driven insights and automation tools, and give your marketing career an edge with this increasingly in-demand expertise.
Specialization skills include:
Machine Learning & Optimization
Data Analysis
Sales
Risk Management
Digital Marketing
Generative AI Track Course 1
The course covers the fundamental concepts of data-driven technologies and how they are transforming today's economy and business dynamics. Students will understand the potential of customer data, the applications of machine learning and artificial intelligence, and identify the types of tools, processes, talent, and mindset needed to drive innovation.
Generative AI Track Course 2
This course delves into the strategies and techniques for designing effective prompts to optimize interactions with AI models. Students will gain hands-on experience in crafting and refining prompts to elicit accurate, contextually appropriate, and useful responses from various AI systems, enhancing their ability to harness AI for diverse business applications.
Generative AI Track Course 3
This course explores the transformative impact of generative AI technologies on sales and marketing strategies. Students will learn how to leverage AI tools to create personalized marketing content, optimize sales processes, and drive customer engagement through innovative applications and data-driven insights.
Generative AI Track Course 4
As Machine Learning and AI drive transformative advancements across industries, understanding the principles of machine learning and AI is crucial. Professionals need to harness data-driven insights, automate processes, and create intelligent systems. Using tools available in Python, R, and AI, this course provides a broad introduction to machine learning, data mining, and statistical pattern recognition. You'll gain experience with applying theory to key predictive and descriptive analytics problems in business intelligence.
Generative AI Track Course 5
This course examines the ethical challenges and risk management strategies associated with artificial intelligence in business contexts. Students will explore frameworks for identifying, assessing, and mitigating ethical risks, while developing practical approaches to ensure responsible and compliant AI deployment.
Not all specializations or elective courses will be available at every campus
Specializations or elective courses are subject to change
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