Foundations of AI-Enabled Strategic Leadership
This beginner level provides foundational knowledge and skills for mid to C-suite professionals looking to lead AI initiatives and manage AI teams. It covers basic concepts of AI strategy, decision-making, and business transformation.
Learning Objectives
To equip learners with the foundational knowledge and skills needed to begin leading AI initiatives and manage AI teams.
Chapters
Explore the basic concepts of AI and its role in modern business.
Goal:Understand the basic concepts of AI and how it can be applied in business contexts.
An overview of artificial intelligence and its key components.
Discover how AI is being used across various industries.
Understand how AI can drive business transformation.
Learn the essential terminology related to AI.
Explore the advantages and potential obstacles of implementing AI.
Debunk common myths and understand the realities of AI.
Learn about ethical considerations when using AI.
Learn the basics of developing an AI strategy for your organization.
Goal:Gain foundational knowledge on how to develop an AI strategy.
Identify the key elements that make up an AI strategy.
Learn how to align AI initiatives with overall business objectives.
Determine how to prioritize AI projects within an organization.
Discover how to spot potential AI projects in your business.
Assess your organization’s readiness for AI adoption.
Create a roadmap for AI implementation.
Determine the key stakeholders involved in AI projects.
Understand how AI can enhance decision-making processes in business.
Goal:Learn the basics of using AI to improve decision-making.
Explore how AI supports decision-making in businesses.
Learn about different types of decisions AI can assist with.
Discover how AI can turn data into actionable insights.
Identify AI tools that support decision-making processes.
Examine real-world examples of AI in decision-making.
Learn how to balance AI input with human expertise.
Explore common challenges faced when using AI for decisions.
Learn the essentials of managing teams that work on AI projects.
Goal:Understand the basics of managing AI teams effectively.
Identify the different roles within an AI team.
Understand the skills needed for effective AI team members.
Learn how to assemble a high-performing AI team.
Explore strategies for effective communication in AI teams.
Understand how to manage timelines for AI projects.
Explore leadership techniques for managing AI teams.
Learn how to encourage innovation within AI teams.
Get acquainted with the basic AI tools and technologies used in business.
Goal:Gain a foundational understanding of AI tools and technologies.
Understand the key technologies underlying AI applications.
Learn the basic concepts of machine learning.
Discover how AI can process and understand human language.
Learn how AI is used to interpret visual data.
Get to know the platforms used for developing AI solutions.
Explore how data is managed for AI applications.
Learn about the role of cloud computing in AI.
Understand the process of implementing AI solutions in a business context.
Goal:Learn the basics of implementing AI solutions in business.
Explore the stages of an AI project from start to finish.
Learn how to define the scope of AI projects effectively.
Discover the importance of data collection and preparation for AI.
Understand how to build and test AI prototypes.
Learn how to evaluate the effectiveness of AI solutions.
Understand the process of deploying AI models into production.
Discover how to maintain and monitor AI solutions post-deployment.
Learn the foundational ethical and legal considerations when implementing AI solutions.
Goal:Understand basic ethical and legal considerations for AI projects.
Explore the ethical challenges AI poses and how to address them.
Learn about privacy issues surrounding AI applications.
Understand the concepts of bias and fairness in AI.
Explore the legal frameworks governing AI use.
Learn about the importance of accountability and transparency in AI.
Examine case studies highlighting ethical AI practices.
Understand the basics of regulatory compliance for AI solutions.
Realtime audio conversation for interactive session.
Interactive realtime chat session.
Live whiteboard explanation and collaboration.
Real-time wide variety of examples.
Continuous assessment and feedback.
Progress monitoring and record progress journey.
Broadcast session with larger audience for free.
Attend audience queries and provide responses.