AI for Leaders and Mobilizers

Wouldn't it be great if you had a personal assistant at work to help you with tasks like summarizing meeting notes or creating reports? Begin this course by exploring how AI can be employed as a personal assistant to manage various tasks, enhance efficiency and free up time for more creative work. You will investigate specific AI use cases to help streamline and improve the quality of work. Then, you will find out how to simplify complex jargon and transform disorganized meeting notes into actionable items with generative AI (GenAI). Take a look at how large language models (LLMs) are trained, in order to get a better idea of how AI works and mitigate the risk of hallucinations as output. Next, you will discover the wider world of AI, going beyond LLMs into the types of GenAI, multimedia GenAI, robotics and reinforcement learning. Finally, you will focus on the practical concepts, techniques, and technologies for effectively collaborating with AI.

Responsible and effective use of AI is based on a set of principles and practices designed to integrate AI into organizational workflows while maintaining ethical standards and mitigating risks. In this course, you will explore the strategic integration of AI in your organization. First, you will dive into the principles of responsible and effective AI use and learn about ethical guidelines for AI implementation. Next, you will identify and mitigate business risks associated with AI, ensuring safe and efficient AI operations. You will also develop strategies to advocate for and innovate with AI, enhancing your role as a leader in the evolving digital landscape. Finally, you will understand how to leverage AI to drive productivity and innovation while maintaining ethical standards and managing potential risks.

In today's dynamic business landscape, harnessing the transformative power of artificial intelligence is essential. This introductory course will equip you to navigate the change to AI effectively. The course explores the key forces shaping the AI revolution. We'll delve into how factors like automation, data-driven decision-making, evolving customer demands, ethics, legal aspects, new AI technology, and how new business models are driving organizations to embrace AI. You'll gain a comprehensive understanding of the multifaceted impacts of AI, analyzing both the challenges and opportunities it presents. This includes potential job displacement and the need for reskilling, alongside the exciting possibilities of increased productivity, data-driven insights for better decision-making, and the creation of innovative new business models. Finally, the course introduces you to the power of data-driven insights for navigating AI change. We'll explore the limitations of traditional methods and introduce you to AI-driven data analysis techniques like sentiment analysis. This empowers you to gain deeper insights from various data sources, allowing you to proactively address potential resistance and tailor communication strategies for a smooth and successful AI integration within your organization.

Implementing AI Change Management in your organization requires leaders who are ready to take the reins and navigate this exciting transition. This course will provide you with the building blocks to be that leader. This course dives into the unique challenges presented by AI integration, such as the rapid pace of change, potential job displacement, and ethical considerations. We'll explore how these challenges differ from traditional change initiatives. You'll identify key areas requiring transformation, including work processes, skill sets, and decision-making strategies. Crucially, the course equips you with AI-specific change management frameworks and explores how these frameworks promote a smooth transition through strategies like reskilling and upskilling your workforce, building trust through data governance, and fostering a culture of continuous learning. Moving beyond frameworks, this course provides practical guidance for developing your own change management strategy. The course also explores how AI will impact different roles within your organization and how to analyze potential skills gaps. Finally, the course concludes with invaluable insights from real-world success stories. We'll showcase compelling case studies from leading organizations that have successfully integrated AI, highlighting the key change management strategies they employed.

As you navigate the transformative power of AI within your organization, fostering a continuous learning culture becomes paramount for long-term success. To achieve this, you will need the strategies and tools to empower your workforce in this dynamic environment. This course delves into the importance of a strong learning culture. You'll explore how it empowers your employees to adapt to new technologies like AI, embrace continuous change, and ultimately drive the long-term success of your organization. Moving beyond the "why," the course equips you with practical strategies. We'll explore how to foster a growth mindset amongst your employees, shifting their perception of AI from fear to excitement for its potential. Next, this course explores innovative learning and development approaches specifically tailored for the AI era. We'll delve into examples like microlearning platforms for on-demand learning, personalized learning paths, gamified experiences to boost engagement, and collaborative learning opportunities that encourage knowledge sharing across your organization. Finally, we'll discuss the importance of measuring its effectiveness by exploring key metrics to track. Additionally, we'll explore how relevant key performance indicators (KPIs) and metrics might need to be adjusted in the AI era.