Leadership with AI

• Module Overview: Non-Technical Introduction to AI Algorithms

• Unsupervised Machine Learning

• Supervised Learning Methods

• Deep Learning

• The Missing Middle: Augmented Intelligence

• Developing an AI Strategy

• Defining the Roadmap

• AI Organisational Structure and People Challenges

• Managerial Tradeoffs

• AI led Business Transformation (AI Enabled Business Models, Re-architecting Legacy Systems, AI Maturity Assessments, Problems and Limitations with AI)

• What AI Transformation Is - And the Investment-Revenue Gap

• Why Transform - Scale, Productivity and the Monetisation Equation

• How - Disruptive Strategy, Capabilities and Moats

• The $725 Billion Question

• Three Types of Network Effects & The Flywheel

• PDD's Revenue Per Employee

• NVIDIA's Flywheel

• Anthropic Flywheel - From Theory to Reality

• The Two AI Wars

• AI: A Business Capability

• When to Use AI

• AI as Agent vs AI as Tool

• Human Plus AI = Co-intelligence

• How to Work with AI

• Human–AI Collaboration: Risks and Trade-offs

• Organisation Implications of AI

• How AI can Influence Organisational Design Parameters and Create Agility

• Leadership Implications of AI

• AI as Your Boss

• Governance and Ethics Issues

• The Exponential Growth Opportunity

• The Monetisation Equation

• The Three Core Processes

• Why Transformations Fail

• Building Organisational Readiness

• The GenAI Imperative

• Transformation in Action

• Evidence and Strategic Clarity

• Apollo 13 Case Study: Overview

• Group Dynamics

• Perception to Decision

• ​Execution to People & Contracts to Promises

• The Execution Loop: Role Playing

• The Rules of Execution

• AI for Execution and Monitoring

• Reimagine the Value for Customers

• Reimagine the Capabilities

• Are We Born to Be the First Movers?

• How do We Create Culture

• Nurturing Innovation: Behavioural Enablers

• Measured Transformation: Nestle Philippines Case Study

• Culture as Continuous Change and Preparation for Change

• From AI Adoption to AI-Enabled Business

• Leading at the Speed of AI: Decision-Making and Execution in Rapidly Changing Environments

• Case Study: Johnson & Johnson Tylenol

• Case Study: Johnson & Johnson Baby Powder

• Purpose, Strategy and Values

• AI in Crisis Communication

• Manage Crisis

• AI for Crisis Prediction and Prevention

• Response to Crisis: Rules One to Five

• Response to Crisis: Rules Six to Ten

• AI in Crisis Response and Recovery

• Dealing with Individual Crisis​

• Deepfakes, Synthetic Media and Corporate Reputation Risk + AI Hallucinations and Executive Accountability

• When AI Fails: Leadership Lessons from AI Implementation Disasters + Governing AI During High-Stakes Decisions

• Mindsets for Leading in the AI Era

• Decision-Making with AI Reasoning, Judgment & Oversight

• Managing Cognitive Overload & Uncertainty as a Leader

• Executive AI Fluency: What Leaders Must Understand vs Delegate

• Case Studies: Leadership Failures & Successes in AI Transformations

• Redesigning Roles, Teams and Workflows Around AI Augmentation

• Building AI Literacy and Capability Across Functions

• Creating Norms of Human–AI Collaboration in Day-to-Day Work

• Psychological Safety, Trust and Ethical Culture in AI-Enabled Teams

• Incentive Structures and Performance Management in an AI-Augmented Organisation

• Sustaining an Adaptive, Continuously Learning Organisation

• Understanding Why AI Transformations Fail

• Reading and Responding to Resistance in Organisations

• Helping People Navigate Role Disruption

• Stakeholder Mapping and Influence Strategies for AI Transformation

• Scaling from Pilot to Enterprise: Managing Momentum and Fatigue

• Evolution of the AI Frontier and Preserving Human Centricity

• AI Frontier: Generative, Agentic, Physical AI

• Human-centric Design, Human Oversight, and Human Empowerment.

• Trust & Ethics as a Competitive Advantage: the Trust-Value Equation

• Responsible AI Principles and Contemporary Risk Frontiers

• Responsible AI Principles: Fairness, Equity, Accountability, Safety, Reliability, Cyber-Physical Security, Privacy, Meaningful Human Control

• Evolving AI Risk Frontiers: Deepfakes, Hallucinations, Systemic Data Biases, Autonomous Systems, Responsibility Gap, Legal Liability

• Enterprise Risk Management & Operational Guardrails

• AI Governance as a Corporate Boardroom Agenda

• Enterprise Risk Management (ERM) Frameworks in Action: the NIST AI Risk Management Framework (RMF)

• Technical & Operational Controls (guardrails, API permissions, sandboxes, control boundaries, Human-in-the-Loop (approval-gated) vs. Human-on-the-Loop (telemetry, auditing, and intervention capabilities))

• Building an Ethics-First Organisational Culture

• Regulatory Navigation & Proactive Policy Engagement

• The Emerging Global Regulatory Mosaic: EU AI Act, US/China/Other Approaches, International Consensus Efforts (GPAI).

• India’s Approach: MeitY AI Governance Framework, Digital Personal Data Protection (DPDP) Act, IndiaAI Mission.

• Urging Active Regulatory & Policy Engagement: Imperative to Move from Passive Compliance to Active Co-design

• Demonstrating Code Generation with ChatGPT: See How ChatGPT Can Generate Code From Natural Language Prompts, Making Programming Faster And More Intuitive For Developers.

  Technologies Covered: ChatGPT, Code Generation, AI Coding Assistant, Python Automation, Prompt Engineering

• Creating a Website Using Claude AI: Learn How Claude AI Can Help You Build Websites Using Simple Instructions—Streamlining Frontend Development With GenAI

  Technologies Covered: Claude AI, Website Creation, AI Web Development, Frontend Automation, GenAI Tools

• Code Generation and Modification Using Copilot: Discover How GitHub Copilot Enhances Coding Workflows By Generating, Editing, And Documenting Code, Boosting Developer Efficiency And Reducing Errors

  Technologies Covered: GitHub Copilot, Code Editing, AI Debugging, Developer Productivity, Jupyter Notebooks, Visual Studio

• Data Extraction Using the OpenAI Backend Service: Explore How OpenAI's Backend Services Can Automate Data Extraction Tasks, Enabling Fast And Scalable AI-Powered Workflows

  Technologies Covered: OpenAI API, Data Extraction, Backend Automation, AI Pipelines, Python Scripting.

• Content Creation Using OpenAI Backend: See How OpenAI APIs Can Generate Stories And Illustrations, Creating Personalised Content Experiences With Automated Publishing Workflows

  Technologies Covered: OpenAI Backend, Content Generation, DALL·E, Storytelling Platform, AI Illustrations, Python Web Publishing

• Sentiment Classification Using OpenAI Backend: Learn How GenAI Tools Can Build Sentiment Analysis Pipelines For Social Media, Automating Data Extraction, Processing, And Insights Generation

  Technologies Covered: Sentiment Analysis, OpenAI Backend, Twitter API, NLTK, Social Media Analytics, GenAI Workflows

• Chain of Thought Prompting: Learn How Chain Of Thought Prompting Improves AI Accuracy By Guiding Step-By-Step Reasoning In Tasks Like Math, Logic, And Decision Making.

• Few Shot Prompting: Discover How Few-Shot Prompting Helps AI Mimic Desired Formats And Styles, Ideal For Structured Tasks Like Summaries, Translations, And Interviews.

• Role Play Prompting: Play Prompting Lets AI Adopt Expert Personas, Delivering More Relevant, Engaging, And Context-Aware Responses.

• Iterative Prompting: Learn How Iterative Prompting Helps Co-Develop High-Quality AI Outputs By Refining Responses Through Layered Follow-Ups.

• Zero Shot Prompting: Explore Zero-Shot Prompting, Ideal For Flexible Tasks Where AI Generates Responses Without Examples Or Predefined Structure.

• Using Parameters to Control Output: See How Prompt Parameters Like Tone And Style Help Tailor AI Responses For Business, Education, And Creative Tasks.

• Temperature and Style Guide Parameter Intro: Discover How Temperature And Style Guide Parameters Balance Creativity And Clarity, Perfect For Business-Ready AI Outputs.

• Common Mistakes while Prompting: Avoid Common Prompting Mistakes And Learn How To Write Clear, Specific, And Effective Inputs For Better AI Responses.

• Prompt Engineering: Master The Art Of Prompt Engineering—Learn How Clarity, Context, And Conciseness Drive Better AI-Powered Outcomes.

• Inside ChatGPT: How It Interprets Your Prompts: Understand How ChatGPT Interprets Your Prompts. Learn The Mechanics Behind Better Communication And Smarter AI Responses.

• Prompt Library: Discover How A Structured Prompt Library Boosts Productivity And Consistency, Helping Users Scale AI Usage Across Everyday Professional Tasks.

• Open AI Playground: Explore OpenAI Playground—A No-Code Tool For Testing Prompts, Adjusting Model Settings, And Learning Prompt Engineering Through Hands-On Experimentation.

• Summary: Master The Fundamentals Of Prompt Engineering—Clarity, Context, And Format To Improve AI Response Quality And Professional Impact.

• Parameters in Open AI Playground: Learn How To Fine-Tune AI Behavior In OpenAI Playground By Adjusting Key Parameters, Unlocking Better Results Through Prompt Experimentation.

• Types of Prompts- Part One: Discover Instructional And Exploratory Prompts, Two Powerful Techniques For Generating Structured And Creative AI Responses In Professional Tasks.

• Types of Prompts- Part Two: Explore Conversational, Structured, And Clarifying Prompts—Advanced Techniques For Refining And Formatting AI Outputs Across Diverse Professional Scenarios.

• Generative AI in Leadership: How leaders Can Use GenAI to Transform Industries, Optimising AI for Executive Decision-making.

• Economic Impact of GenAI on a Company Level and Macro-level

• AI Workforce and Talent Strategy

• Ethical and Responsible Use of Generative AI

• Future Trends and Innovations in GenAI: AI in Hyper-personalisation, Autonomous AI Agents(Agentic AI), and AI-driven Corporate Strategy

• Applications of GenAI in Marketing, Operations, HR, Finance

• Monetizing Generative Ai

• The Technology, Compressed

• The Google Story, Both Acts

• Where The Money Goes, And How You Charge

• Arvey And The Billable Hour

• Bridgewater And Build-Vs-Buy

• The FDE Turn

• So What (Adoption Is Nearly Universal. Value Is Not. The Gap Is Where The Strategy Lives)

• Blueprint for Agentic AI Deployment

• From Pilot to Scale: AI Factory & AI Ops

• Integration with Enterprise Systems (ERP, CRM, Data Lakes)

• Monitoring, Guardrails & Safety for Agents

• Organisational Readiness & Change Management

• ROI Models for Agentic Automation

• Leadership Lessons from Large-Scale AI Adoption

• Agentic AI: Overview

• Applications of Agentic AI

• What is Not Agentic AI

• Case Compendium

• Frameworks

The ISB Online Leadership with AI Programme is a 20-week online leadership certification for senior professionals, business leaders and functional heads who want to lead AI adoption and transformation. Developed by ISB Online in collaboration with Emeritus, the programme combines ISB faculty-led learning with industry expertise across AI strategy, business transformation, Generative AI, Agentic AI and Responsible AI. It helps participants make informed AI investment decisions, redesign workflows, build AI-ready organisations and lead AI initiatives from opportunity identification to enterprise-wide execution.

Through the programme, you will:

• Build and execute an enterprise AI strategy aligned with business priorities.

• Apply GenAI and Agentic AI to decision-making, productivity and business workflows.

• Evaluate AI use cases, investment opportunities, operating models and deployment roadmaps.

• Lead workforce transformation, human-AI collaboration and organisational change.

• Develop practical outputs through five hands-on AI Leadership Labs, including an AI Investment Portfolio, AI Execution Blueprint, GenAI Solution Blueprint and Agent Design.

• Learn through 140+ self-paced videos, three live masterclasses, 20+ tools, 20+ case studies, 18 doubt-clearing sessions and a real-world capstone project.

• Earn an ISB certificate and receive ISB Online Alumni Status, subject to programme completion and applicable policies.

The 20-week ISB Online Leadership with AI Programme now features a newly filmed curriculum, refreshed modules and expanded learning in Generative AI (GenAI) and Agentic AI. The upgraded programme combines 140+ self-paced videos from ISB faculty, three live masterclasses led by industry experts and five live hands-on AI Leadership Lab sessions. Participants also explore AI strategy, business transformation and Responsible AI through 20+ AI, GenAI and Agentic AI tools, 20+ case studies and business scenarios, 18 doubt-clearing sessions and a practical capstone project based on a real business challenge.

The ISB AI Leadership Programme prepares leaders for an AI-first business environment by combining AI strategy, Generative AI, Agentic AI, organisational transformation and Responsible AI. Participants learn to identify high-value AI use cases, evaluate investments, build deployment roadmaps, redesign workflows around human-AI collaboration and lead AI adoption across functions. The programme also develops executive capabilities in AI governance, risk management, decision intelligence and responsible innovation. Through real-world case studies, live masterclasses, hands-on AI Leadership Labs and a practical capstone, participants apply their learning to create an AI Investment Portfolio, AI Execution Blueprint, GenAI Solution Blueprint and Agent Design.

The ISB Online Leadership with AI Programme covers Generative AI through newly filmed modules on LLM foundations, transformer architectures, context windows, prompt engineering and enterprise GenAI applications. Leaders learn to use tools such as ChatGPT, Claude, Gemini, GitHub Copilot and OpenAI APIs for research, content creation, coding, analysis and executive productivity. The programme also examines GenAI’s applications across marketing, finance, HR and operations, along with its economic, ethical and workforce implications. Through case studies, live masterclasses and a hands-on GenAI Leadership Lab, participants create a practical GenAI Solution Blueprint for business adoption.

The ISB Online Leadership with AI Programme covers Agentic AI through dedicated modules on AI agent architectures, reasoning, planning, memory mechanisms, multi-agent systems and human-agent collaboration. Leaders explore frameworks such as AutoGen, LangGraph and CrewAI, along with enterprise applications across supply chain, finance, customer operations and manufacturing. The programme also covers Agentic AI deployment and scale, including AI factories, AI Ops, enterprise integration, monitoring, guardrails, safety and ROI models. Through case studies, live learning and a hands-on Agentic AI Leadership Lab, participants design autonomous workflows, define human oversight and create a practical Agent Design for enterprise application.

The ISB AI Leadership course may be right for you if you are a senior professional, business leader, CXO, functional head, technology leader or entrepreneur responsible for strategy, growth, operations, people or transformation. It is designed for professionals who want to identify high-value AI opportunities, evaluate Generative AI and Agentic AI applications, lead AI adoption, redesign workflows and make responsible AI decisions. No technical or coding background is required; the programme focuses on business applications, leadership judgement and enterprise transformation.

After reviewing the information on the programme landing page, we recommend submitting the short form above to access the programme brochure, which includes more detailed information. If you still have questions about whether the programme is right for you, contact our advisor at +91 9702971237 or email isb.online@emeritus.org.

Yes, the ISB AI leadership course is suitable for non-technical executives who want to understand how AI can be applied to business strategy, leadership, innovation, and organisational decision-making. The programme is designed from a business and leadership perspective, focusing on real-world applications of Generative AI, Agentic AI, and AI-driven transformation rather than coding or technical development.Executives across functions such as strategy, marketing, finance, consulting, operations, HR, and general management can learn how to evaluate AI opportunities and lead AI initiatives in an AI-first business environment.

The ISB Online Leadership with AI Programme can help executives strengthen their readiness for senior roles involving AI strategy, digital transformation, innovation, technology leadership and business growth. Participants learn to identify high-value AI opportunities, evaluate investments, build deployment roadmaps, redesign workflows and lead AI adoption across functions.

The programme can also help executives:

• Build credibility in boardroom and cross-functional AI discussions.

• Take on broader transformation, AI adoption and operating-model responsibilities.

• Improve executive productivity and decision-making with GenAI and AI tools.

• Demonstrate practical AI leadership through an AI Investment Portfolio, AI Blueprint, GenAI Solution Blueprint and Agent Design.

• Apply responsible AI, governance and risk frameworks to enterprise decisions.

• Strengthen their professional profile through an ISB certificate and ISB Online Alumni Status.

Please note: The programme supports career growth and leadership impact but does not guarantee/or a promotion, salary increase and job placement.

The ISB Online Leadership with AI programme has successfully delivered 32+ batches and built a community of 9,500+ leaders across industries worldwide. The programme has also earned an average module rating of 4.6/5 from 4,500+ learners. Designed for executives and business leaders, it combines Artificial Intelligence (AI), Generative AI, Agentic AI, Responsible AI, enterprise AI strategy, real-world case studies, and leadership frameworks to help participants lead AI-powered business transformation with confidence.

The programme has been designed with your busy schedule in mind. You will be required to commit not more than four to six hours per week, enabling you to benefit from this transformative programme while fulfilling your day-to-day work responsibilities.

The ISB Online Leadership with AI Programme is delivered online over 20 weeks, with a weekly commitment of approximately 4–6 hours. The learning experience combines self-paced, pre-recorded videos by ISB faculty with real-world case studies, quizzes, assignments, discussion boards and a capstone project. Participants also attend three live masterclasses and five live hands-on AI Leadership Lab sessions led by industry experts, along with 18 live doubt-clearing sessions conducted by programme leaders. This blended format enables working professionals to learn flexibly while applying concepts to real business challenges.

Yes. The programme includes live learning led by industry experts and programme leaders:

• Three live masterclasses on AI economics, competitive advantage and human-AI collaboration.

• Five live hands-on AI Leadership Lab sessions focused on AI use-case prioritisation, execution roadmaps, GenAI applications, Agentic AI workflows and executive productivity.

• 18 live doubt-clearing sessions led by programme leaders.

More than 300,000 professionals globally, across 200 countries, have chosen to advance their skills with Emeritus and its educational learning partners. In fact, 90 percent of the respondents of a recent survey across all our programs said that their learning outcomes were met or exceeded. All the contents of the course would be made available to students at the commencement of the course. However, to ensure the program delivers the desired learning outcomes, the students may appoint Emeritus to manage the delivery of the program in a cohort-based manner during the course period the cost of which is already included in the overall fee of the course. A dedicated program support team is available 7 days a week to answer questions about the learning platform, technical issues, or anything else that may affect your learning experience.

Participants must receive 70% to pass and obtain a certificate of completion and gain the ISB Online Alumni Status. Each programme includes an estimated learner effort per week, so you can gauge what will be required before you enrol. This is referenced at the top of the programme landing page under the Duration section, as well as in the programme brochure, which you can obtain by submitting the short form at the top of this web page. All programmes are designed to fit into your working life. You must complete the required activities to pass and obtain the certificate of completion. Some programmes include a final project submission or other assignments to obtain passing status. This information will be noted in the programme brochure. Please contact us at isb.online@emeritus.org if you need further clarification on any specific programme requirements.

Upon successful completion, participants receive a verified digital certificate in Leadership with AI from ISB Online. The certificate can be shared on LinkedIn, resumes, and with employers, showcasing expertise in AI-powered leadership and digital transformation. This can help communicate your learning in AI-powered leadership and digital transformation. The digital certificate will be sent approximately two weeks after the programme, once grading is complete.

You will gain the ISB Online Alumni Status and get access to all the benefits that it offers. You can read about the benefits on our landing page.

You will have access to the online learning platform and all the videos and programme materials for 12 months following the programme start date. Access to the learning platform is restricted to registered participants per the terms of agreement.

Participants will need the latest version of their preferred browser to access the learning platform. In addition, Microsoft Office and a PDF viewer are required to access documents, spreadsheets, presentations, PDF files, and transcripts.

Yes, the learning platform is accessed via the internet, and video content is not available for download. However, you can download files of video transcripts, assignment templates, readings, etc. For maximum flexibility, you can access programme content from a desktop, laptop, tablet, or mobile device. Video lectures must be streamed via the internet, and any livestream webinars and office hours will require an internet connection. However, these sessions are always recorded, so you may view them later.

Please reach out to your programme advisor or email us at isb.online@emeritus.org.

Yes, the flexible payment option allows a participant to pay the programme fee in instalments. This option is made available on the payment page and should be selected before submitting the payment.

1. If a participant faces severe challenges in dedicating time to study the programme or has personal medical issues, a participant may request to defer the enrolment to another cohort of the same programme.

2. The participant must request to change to a future batch within 30 days after the programme commencement.

3. A participant may request a one-time deferral to the next available cohort of the same program. Such deferral is contingent upon and subject to:

   • Programme and batch availability at the discretion of the Institute and Emeritus

   • Approval of a valid deferral request with the supported document.

   • Payment of all pending programme fees as per the original programme scheduled date or Payment of the applicable non-refundable deferral fee as set forth under point (v).

4. The participant must write the deferral request to support.india@emeritus.org, specifying the reason for deferral with supporting documents.

5. The deferral request with reasons and supporting documents shall be passed on to the Institute, who reserve the absolute right to approve or deny such requests, at its discretion.

6. Participants may be offered a deferment under the condition that they pay the full fees as per the original payment plan. Once the payment is completed, the deferment will be processed. However, if a participant wishes to defer the payment plan as well, they will be required to pay the fee, collectively referred to as the "non-refundable deferral fee" of Rs 10,000 + taxes for certificate courses and Rs 20,000 + taxes for senior executive programmes, along with the programme fee differential amount between the two cohorts.

7. For the payment plan deferment option, the participant will have 5 (five) business days to pay the deferral fee from the date of deferral approval by the Institute, after which the deferral approval will expire, and the participant will continue in the current cohort. For clarity, until the full payment is received, the participant will remain in the current cohort.

8. Upon payment of the non-refundable deferral fee mentioned under point (v), Emeritus will process the deferral request, and the participant's access to the current cohort will be disabled. Accordingly, the participant must start the programme in the new cohort from the beginning.

9. The deferral request can only be considered when the current cohort the participant is enrolled in is ongoing. A deferral request shall not be entertained if the currently assigned cohort is completed or after the programme end date.

10. It is the participant's decision to defer the programme to another cohort. It is important to note that

    if the programme is discontinued after deferment for any reason, the programme fee will not be refunded to the participant

Some Indian organisations may support professional development in Generative AI, Agentic AI, and digital transformation through learning budgets or sponsorship. Employer reimbursement depends on each organisation’s policy and cannot be guaranteed. We recommend downloading the programme brochure to share the curriculum and outcomes with your HR or learning and development team to explore available corporate sponsorship options.