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ILRHRC24Cornell Certificate Program

Organizations today face a multitude of challenges when it comes to effectively managing their talent. In mature markets, demographic trends are forcing companies to accelerate their efforts to build a pipeline of future leaders. In emerging markets, companies must develop talent strategies that are both nimble and effective at engaging and retaining key human capital. To achieve these goals, companies need an integrated, systematic approach to attracting, developing, engaging, and retaining critical talent.

Cornell University Professor Brad Bell offers a learning experience that challenges students to dig deeper into understanding their organization's key talent management challenges and uncovers solutions that can be used to overcome these challenges. This course adopts a systems view of talent management in order to demonstrate that various talent practices and processes need to be aligned to create effective solutions. It also examines current trends and cutting-edge thinking in the talent management field.

More than ever, HR leaders are expected to be proficient in the use of HR data and analytics. However, figuring out where to start with analytics, how to evaluate and critique HR data, and how to best communicate and translate results to the broader organization remain key challenges.

This course focuses on building analytical acumen and taking a strategic view of talent analytics. Using a framework presented in this course, students will examine outcomes and drivers throughout an organization to assess strategic talent needs. As they complete activities throughout the course, they will also fine-tune their evaluative, presentation, and communication skills using critical thinking enhanced with analytical best practices shared by Professor Hausknecht.

This course is designed for HR professionals who want to build their organization's HR analytics capabilities, derive meaning from metrics and results, and tell persuasive stories involving HR and organizational data. With these skills, students will have a stronger voice in using talent analytics to persuade others toward actions that best align with organizational goals.

Artificial intelligence is reshaping how HR functions operate, from automating routine tasks to informing complex workforce decisions. Different types of AI offer distinct capabilities, each requiring specific data and raising important considerations around effectiveness, ethics, and organizational impact. As these technologies evolve, they're driving meaningful shifts in HR roles, processes, and long-term strategy.

In this course, you will differentiate among key AI technologies, including ML, NLP, LLMs, and hybrids, and connect them to real HR applications. You'll identify the data required to support these systems, analyze their benefits and limitations, and examine ethical considerations such as privacy and fairness.

Upon completion of this course, you will be prepared to assess where and how AI can be effectively applied in HR, determine the data and governance needed to support it, and evaluate associated risks and trade-offs. You'll also be equipped to anticipate how AI is reshaping HR roles and processes, positioning you to guide informed, responsible adoption in your organization.

Organizations are so entrenched in our everyday lives that we often don't notice them. Each of us exists within a unique ecosystem of organizations that include where we work, shop, go to school, volunteer, acquire healthcare, and manage our personal and professional lives. Becoming aware of the ways that these organizations are structured and the choices behind these structures are fundamental skills necessary for organizational design.

In this course, you'll analyze an organization in terms of how it is structured, what it does, and how it interacts within the larger ecosystem. You'll develop ways of thinking about these categories and the language you'll need to describe them, whether you are focusing on organizations in your immediate neighborhood or global organizations. Description is the first step. You will also develop the analytical skills to explain, from an organizational design perspective, why some organizations function more successfully than others so you can anticipate future changes that may create a need for redesign.

Organizational design professionals use different models to assess organizations. In this course, you'll practice using the Congruence Model to assess whether an organization is well designed. By combining all the skills you develop in this course, you will be able to look critically at organizations to identify their key components, understand how they are related, and assess whether the organization would benefit from a redesign.