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TSTC01Cornell Certificate Program

Uniting a workgroup to function optimally while some employees report in person and others are virtual or remote isn't exactly new, but this hybrid format — the adoption of which was accelerated by the pandemic — has become a mainstay in today's workplace. Managers and executives, therefore, need to redesign their team leadership models and work processes for a hybrid future.

In this course, you will examine many different types of hybrid work arrangements. You will define what a hybrid team is and assess the current state of your organization: How well is it functioning? Where is there room for improvement in communication, process, and norms? After identifying a desired state for your organization, you will select the most beneficial hybrid model for your team, explore the implications of various hybrid arrangements, and prepare to share your recommendations for your workgroup.

By the completion of the course, you'll come away with emerging best practices from Cornell research to make your hybrid workgroup as effective as it can possibly be.

Whether you're updating executives, pitching to clients, or training team members, strong presentation skills drive professional success. Now, as generative AI reshapes workplace practices, presenters face new opportunities and challenges. As a presenter, how can you leverage AI's capabilities thoughtfully while maintaining message quality and authentic delivery?

This course provides practical frameworks for using AI as a strategic planning partner in your presentation development. You will identify when and how to incorporate AI tools in your early planning to strengthen your purpose statements, analyze audience needs, and generate focused ideas. Through thoughtful prompting and iteration, you'll then structure your main points, plan effective visuals, and adapt content for different audiences. You'll also discover how to enhance your delivery through AI-assisted practice sessions, creating dynamic audience connections and laying groundwork for the steps following your presentation. From initial brainstorming to final rehearsal, this course will prepare you to maintain control of your message while benefiting from AI's analytical and creative capabilities.

Organizations thrive by creating and delivering value, and this process begins with understanding how value chains operate. In this course, you will explore the key components of value chains, analyzing how they contribute to organizational success. You'll examine the challenges businesses face and draw lessons from industry-specific examples to uncover strategies for improving operations.

Building on these insights, you will discover how to design technology solutions that align with organizational goals by applying strategic alignment frameworks. You'll also consider how comprehensive technology strategies can be developed to communicate a clear vision and address evolving challenges. Along the way, you'll evaluate the role of technology in driving organizational success and identify how it can be leveraged to adapt to future needs.

By the end of this course, you will have gained the knowledge and tools to assess the strategic use of technology within your organization while preparing for its ongoing evolution in an ever-changing business environment.

The dynamic interplay among people, processes, and technology is essential to navigating today's complex organizational challenges and requires a thoughtful, strategic approach. This course begins by examining the rollout of a real-world tech initiative, where you will analyze the critical factors that led to its setbacks and extract key lessons for navigating technological complexity.

From there, you will explore how to design agile solutions leveraging various frameworks for successful technology implementation. You'll also delve into the critical area of risk management, discovering how to identify technology risks and apply key frameworks, cybersecurity strategies, and governance tools to safeguard complex projects.

By working through hands-on projects, you will build skills in diagnosing technology challenges, proposing practical solutions, evaluating risk profiles, and developing strategies to mitigate organizational risks. By the end of this course, you'll be equipped to manage the complexities of technology implementation while ensuring both resilience and alignment with organizational goals.

This course provides you with foundational knowledge about how AI works along with its advantages and limitations. You will examine predictive and generative AI systems and consider how they create risks like misinformation and bias. You'll explore AI's most pressing ethical and legal challenges, including issues like defamation, discrimination, premature automation, and the rise of counterfeit personas. You'll also access two critical frameworks — the risk-based and rights-based approaches — to help assess AI's ethical impact. You'll analyze real-world case studies in fields like healthcare and policing to understand how these frameworks can guide responsible AI use and protect fundamental rights.

By the end of this course, you will have developed a solid foundation in evaluating AI's ethical and legal implications. You'll be prepared to critically assess AI's role in your organization, advocate for ethical policies, and responsibly integrate AI into your professional field.

As organizations increasingly integrate AI into workflows and decision-making processes, it is important to recognize AI's implications for data privacy and how its use can lead to biased outcomes. This course empowers you to navigate the data privacy regulations relevant to AI, recognize the dynamics of algorithmic bias and discrimination, and adopt strategies for fostering fair and inclusive AI systems.

You will analyze landmark U.S. and European privacy laws to understand their impact on the use of AI, examine how to audit AI systems for performance and equity, assess AI vendor contracts, and explore transparency initiatives like AI disclosures. By the end of the course, you'll have developed the critical skills of respecting data privacy, reducing bias, and upholding ethical standards in AI use.

You are required to have completed the following course or have equivalent experience before taking this course:

• Exploring the Legal Principles of AI