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At a Glance

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Continue building on the foundation established in the “Agile Fundamentals” course by placing an emphasis on building the practical skills necessary for leading agile projects in organizations. In addition, you’ll learn about continuous improvement through retrospectives, lean-agile thinking, and the use of agile metrics.
Learn about fundamental security design principles and information assurance fundamentals. This course will explore a wide range of topics including cryptography, capability and access control mechanisms, authentication models, security models, operating systems security, malicious code, security policy formation and enforcement, vulnerability analysis, and the evaluation of secure systems. laws and regulations that apply to the rapidly changing threat landscape of cybersecurity. Students will develop a cybersecurity risk mitigation strategy for workplace or personal data.
Grasp the foundational concepts of Agile, an iterative approach to project management. This course is an introductory consideration of Scrum, including Scrum events and artifacts, the anatomy of a sprint, the roles of a Scrum Master and Scrum team members, as well as release planning.
A comprehensive introduction to the current state of the science and practice of analytics in healthcare, including how to “tell the story” the numbers present. Core competency skills are achieved using a variety of learning methods to help students apply analytic techniques supporting data mining, visualization and data driven decision making.
A human-in-the-loop approach to applying generative AI is explored, including how AI is being incorporated into project management to automate routine tasks. Project managers will also learn the basics of data analytics, including how to partner with data scientists to get the right data at the right time, use KPIs to drive project success, and present data effectively.
Dive deeper into the latest trends, tools, and innovations at the forefront of the rapidly evolving cybersecurity landscape. This course will explore the potential impacts of these technologies on cybersecurity practices, assess their practical applications, and understand how to integrate them into existing security frameworks. Students will gain a comprehensive understanding of how to leverage emerging technologies in cybersecurity.
Navigate the Ethics of AI Marketing & Data Privacy Protect your brand and build consumer trust in the age of artificial intelligence. This course explores the complex ethics of modern marketing, focusing on AI brand responsibility, disclosure, and product liability. You will examine critical emerging issues surrounding consumer privacy—from the buying and selling of personal data to the use of AI for predicting and influencing human behavior. Equip yourself with the strategic knowledge to lead ethical marketing practices and safeguard
Gain knowledge of the overview and historical progression of AI. This course will cover key topics such as machine learning, neural networks, natural language processing, and the historical milestones that have shaped the development of AI. It will also explore the current landscape and future directions of AI, emphasizing its use in various industries to give students a thorough understanding of AI’s foundational theories, practical applications, and evolutionary trajectory.
Learn more about the selection and implementation of AI across various industries and teams. This course will equip students with the skills to leverage AI technologies in interdisciplinary contexts to foster collaboration, ethical decision-making, problem-solving, and impactful integration. Students will review real-world, industry-specific case studies and strategic frameworks in various sectors.
Protect your brand and build consumer trust in the age of artificial intelligence. This course explores the complex ethics of modern marketing, focusing on AI brand responsibility, disclosure, and product liability. You will examine critical emerging issues surrounding consumer privacy—from the buying and selling of personal data to the use of AI for predicting and influencing human behavior. Equip yourself with the strategic knowledge to lead ethical marketing practices and safeguard your brand’s reputation.
Master AI-Driven Digital Marketing Discover how artificial intelligence is revolutionizing digital marketing strategy. This course moves beyond basic theory to teach you high-impact AI tactics—including LLM optimization, agentic AI systems, and AI-augmented customer targeting. Using proven frameworks like the AI Marketing Canvas and Digital Twins, you will learn how to measure, govern, and pitch AI initiatives to executives. You will leave the course having built a complete, integrated AI marketing strategy for a real-world organization.
Explore AI governance and risk management in today’s evolving regulatory landscape. This course examines artificial intelligence governance, model risk management, algorithmic transparency, data governance, fairness and bias, and emerging AI regulations while preparing leaders to evaluate AI-related risks and build responsible governance frameworks for enterprise adoption.