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The Business of AI: Strategies for Leaders
Leverage AI for strategic growth
Global online peer network
Create an AI implementation plan
Exclusive masterclasses for Indian learners
Enrol Now
Duration
10 Weeks
Weekly Learning Hours
4-5 Hrs per week
Mode of Learning
Online
Illuminate the real value of AI for your business
‘The Business of AI: Strategies for Leaders’ by London Business School is a class-leading course designed for leaders willing to leverage the transformative power of AI. This course equips participants with the knowledge and skills needed to effectively choose, design and implement AI-based solutions to streamline business functions and processes.
Benefits:
Exclusive masterclasses for Indian learners
Join masterclasses led by India’s top government advisory council to discover how India is poised to lead the AI revolution.
Make Informed Decisions
Select the most appropriate AI technologies that align with your business objectives and drive value creation.
Optimise Tech Collaboration
Strengthen your visibility to harness AI's potential, and improve communication with your technology specialists.
Get Expert Guidance
Get support through a live clinic with your learning manager and a final debrief with globally acclaimed faculty.
Overcome Management Hurdles
Convince stakeholders of AI's value and foster a commitment to developing this critical capability within your organisation.
Kick-start AI Implementation
Develop and execute a 30-day AI implementation plan ensuring you are ready to apply AI solutions in your workplace.
About London Business School
London Business School was established in 1964 and became part of the University of London in 1965. The School offers postgraduate degrees across seven key disciplines: Accounting, Economics, Finance, Management Science and Operations, Marketing, Organisational Behaviour, and Strategy and Entrepreneurship. The School’s global alumni network comprises 55,000+ members from over 160 countries.
#3
Business School in Europe
(Source: Financial Times Ranking)
#1
In the world for our Masters in Finance post-experience course
(Source: Financial Times Ranking)
#6
In the world for our Masters in Management
(Source: Financial Times Ranking)
#2
In the world for our Executive Education open courses
(Source: Financial Times Ranking)
#7
In the world for our custom Executive Education courses
(Source: Financial Times Ranking)
#7
In the world for our MBA
(Source: Financial Times Ranking)
" London Business School is excited to collaborate with Imarticus Learning on the Business of AI course, designed to empower executives with the expertise to lead in an AI-driven economy. This course blends world-class academic insights with industry applications, ensuring professionals can confidently navigate AI’s complexities and drive meaningful innovation. In today’s rapidly evolving landscape, understanding AI is no longer optional—it is essential for shaping the future of business."
Associate Dean, Executive Education at London Business School
Helen Kerkentzes
"We are proud to partner with London Business School to launch the Business of AI course - an initiative designed to bridge the gap between AI innovation and strategic business leadership. As AI reshapes industries at an unprecedented pace, this course equips professionals with the critical skills, global perspectives, and real-world applications needed to harness AI’s full potential. Our mission is not just to educate but to transform the way businesses leverage AI for sustained success."
Managing Director and Founder at Imarticus Learning
Nikhil Barshikar
Industry Trends
84%
of C-level executives recognise the need to adopt AI to achieve growth objectives
(Source: Accenture)
$6 billion
growth in AI spending in India by 2027, at a CAGR of 33.7%
(Source: IDC Research)
$17 billion
growth of the AI market in India at a CAGR of 25–35% by 2027
(Source: Nasscom)
$827 billion
growth of the global AI market size at a 27% CAGR by 2030
(Source: Statista)
84%
of C-level executives recognise the need to adopt AI to achieve growth objectives
(Source: Accenture)
$6 billion
growth in AI spending in India by 2027, at a CAGR of 33.7%
(Source: IDC Research)
$17 billion
growth of the AI market in India at a CAGR of 25–35% by 2027
(Source: Nasscom)
$827 billion
growth of the global AI market size at a 27% CAGR by 2030
(Source: Statista)
84%
of C-level executives recognise the need to adopt AI to achieve growth objectives
(Source: Accenture)
$6 billion
growth in AI spending in India by 2027, at a CAGR of 33.7%
(Source: IDC Research)
$17 billion
growth of the AI market in India at a CAGR of 25–35% by 2027
(Source: Nasscom)
$827 billion
growth of the global AI market size at a 27% CAGR by 2030
(Source: Statista)
Elite AI Masterclasses for Indian Leaders
Gain exclusive insights from India’s top AI experts, policymakers, and industry pioneers. Designed for forward-thinking professionals, these masterclasses decode AI’s role in business, governance, and innovation.
Learn from the Best
India’s AI vision, policies and strategies
Real-World Application
AI-driven business growth and transformation
International alumni clubs
Tailored solutions for Indian enterprises
Ethical and Scalable AI
Responsible innovation for long-term impact
Masterclass Lineup
Week 2
Navigating India’s AI Revolution
- AI policy, governance and strategy
- India’s AI vision, policies and strategies
Week 6
AI for Indian Business Growth
- AI-first business models and impact
- Innovation ‘Made in India’
Masterclass Lineup
Week 2
Navigating India’s AI Revolution
- AI policy, governance and strategy
- India’s AI vision, policies and strategies
Week 6
AI for Indian Business Growth
- AI-first business models and impact
- Innovation ‘Made in India’
Course Content
Phase I: Week 1-5
Phase II: Week 6-10
What is AI and ML?
The characteristics of AI and ML
Strong vs. weak AI
AI and ML application in born-digital vs. born-analog businesses
The limitations of ML
How can AI create value in business?
The practical challenges of adopting AI
Discussion: Crowdsourcing activity – Explore AI application in business
Costs, benefits and trade-offs
Learning the AI lingo: Why does it matter?
Artificial Intelligence (AI) vs. Machine Learning (ML)
Supervised learning
UnSupervised learning
Reinforcement Learning
Features and feature selection
Neural Network and Deep Learning
Fundamentals: The capabilities of ML
The basic building blocks
AI pltaforms
Enabling Technologies
Datasets
Frameworks
Hardware
Innovation trajectory
Recent Developments in LLMs and GPTs
Critical limitations in LMMs and GPTs
The impact and challenges of LLMs and GPTs
Commercialising LLMs and GPTs
LLMs and GPTs recap
Roleplay: Explaining AI to the C-suite
Understand how has AI been creating value for
Vodafone and what is Vodafone’s approach to adopting AI at scale?
Explore how T-Mobile integrated AI and human staff to collaborate with and srengthen the work of each other.
Discover how ML and AI are being used to measure product quality, optimise operations, anticipate what customers will want and dramatically reduce delivery time for Domino’s.
Understand the different factors involved in making the buy vs. build decision for AI implementation. When should an organisation buy the off-the-shelf software or develop the tools in-house?
Learn how did Schneider enabled successful adoption of digital technologies like AI and ML by reorganising its existing groups.
Establishing rationale for adopting AI Cheat sheet on the step-by-step process of AI implementation
Accelerate the appropriate adoption of AI and ML
Navigating the route to innovation with AI
Adoption of AI and ML – Costs and benefits
Targeting the right business challenges and opportunities
Discussion: Pitch an AI-based business project
Putting together the team
The central importance of data engineering
Playbook assignment: Manage AI implementation
Anticipating and preparing for AI integration challenges
Introduction and quick draw game
Explaining AI algorithms
Ethical dilemmas
Algorithm or human
Why could algorithms produce biased results?
FBL case study: Limits of fairness and activity
Data investigation
How should we use algorithms in real life?
Ethical use of AI
The four horsemen of the AI apocalypse
The value of ambidexterity
Discussion: Crowdsourcing activity
Make the organisational mindset shift to see data as an asset
Sharing the learning about algorithms and models
Getting broader buy-in
Recruit, develop and retain top AI talents
Accessibility, inclusion and diversity
Overhauling organisational competences and capabilities
Putting together all of the pieces of the puzzle
Playbook Assignment: Scale up your AI project
Strategic implications of AI
How to win with machine learning
Key leadership behaviours
Discussion: Strategic implication of implementing AI at scale
Social, societal, political and environmental implications of AI and ML
AI at scale: Ethical concerns
AI at scale: Calls for action
AI at scale: Addressing ethical concerns
AI: A New hope
Case Studies
Discover how AI creates significant value for Vodafone, and learn about its strategic approach to scaling AI adoption across the business.
Vodafone
Case Study 1
Explore T-Mobile’s innovative integration of AI and human expertise, enhancing collaboration and driving productivity for both teams.
T-Mobile
Case Study 2
See how Domino’s leverages AI and machine learning to optimise product quality, improve operations, predict customer preferences, and drastically reduce delivery times.
Domino’s
Case Study 3
Understand the critical factors in Deutsche Bank’s buy vs. build decision for AI tools- when is it best to purchase off-the-shelf software versus developing custom solutions in-house?
Deutsche Bank
Case Study 4
Learn how Schneider Electric successfully adopted digital technologies like AI and machine learning by restructuring its teams and fostering innovation.
Schneider Electric
Case Study 5
Note: All product and company names are trademarks or registered trademarks of their respective holders. Their use does not imply any affiliation with or endorsement by them.
How would you learn?
Course Outcome
Learn to leverage AI for personal and business growth with expert guidance and practical strategies.
How You Benefit
How Your Organisation Benefits
Voices of success
"Ultimately, AI is not the master. Human intervention is necessary to provide the right feedback to the machine."
Sarmishtha Chatterjee
Senior VP, Advanced Analytics Chapter Area Lead, Commonwealth Bank
"This course has instilled in me the confidence to engage with clients effectively and propose optimal AI strategies integrated with existing enterprise initiatives."
Goki Ganesan
Founder and CEO, Pixous Technologies Pvt Limited
Experts in the field
Michael Davies
Guest Lecturer for Strategy and Entrepreneurship
Michael Davies is a globally recognised thought leader, excelling in the fields of technology, innovation, and leadership. As the Founder and Chairman of Endeavour Partners, a prestigious strategy consulting firm located in Massachusetts, he has established himself as a significant influencer in the industry. With extensive experience collaborating with some of the world's foremost digital and mobile enterprises, Michael has played a crucial role in shaping effective growth strategies that drive success and foster transformative advancements in business. His insights and expertise have made a lasting impact on the way organisations navigate the complexities of today’s rapidly evolving technological landscape.
Nicos Savva
Professor of Management Science and Operations
Professor Nicos Savva is a distinguished expert in the field of data science, focusing on applying advanced analytical techniques to address complex operational challenges faced by large organisations. With a profound understanding of data-driven decision-making, he works to enhance the data science capabilities of these organisations, enabling them to harness the full potential of their data for improved efficiency and performance. His research often intersects with practical applications, helping businesses refine their processes and strategies through insightful data analysis and innovative solutions.
Keyvan Vakili
Associate Professor of Strategy and Entrepreneurship
Professor Keyvan Vakili's research delves into the intricate relationship between technology and the institutional environments that shape business innovations. He focuses on how these factors influence the distinct attributes of innovations, particularly regarding their novelty the degree to which they introduce new ideas or methods and their impact on the market and society at large. Through this exploration, his work seeks to illuminate the dynamics that drive successful innovation in various contexts.
This course is designed for managers and executives responsible for making business decisions about the adoption and use of AI technologies from a general management perspective. Those who will benefit may include:
C-Suite Executives and Senior Leaders
Executives seeking to stay ahead of AI trends, understand its applications, and lead the adoption of AI technologies to reduce costs and enhance business outcomes.
Mid-to-Senior-Level Functional Managers
Managers aiming to learn how AI can improve performance in their areas, enabling them to engage in meaningful conversations with technology teams and shape AI-driven outcomes.
Product and Technology Managers
Professionals involved in AI product development, looking to understand business implications, lead AI initiatives, and drive innovation within their teams.
Professionals working in the following sectors are likely to benefit more from the course:
Automotive
Customer Service
e-Commerce
Healthcare
Financial Services/Insurance
Logistics and Transportation
Automotive
Customer Service
e-Commerce
Healthcare
Financial Services/Insurance
Logistics and Transportation
Manufacturing
Mobility
Professional Services
Retail
Technology
Telecoms
Manufacturing
Mobility
Professional Services
Retail
Technology
Telecoms
8+ years of management experience required
Certificate
A testament to excellence and achievement.
*All certificate images are for illustrative purposes only and may be subject to change at the discretion of the London Business School.
*All certificate images are for illustrative purposes only and may be subject to change at the discretion of the London Business School.
Application Process
Eligibility criteria
This exclusive course is designed for professionals with 8+ years of management and leadership experience, offering a unique opportunity to refine AI-driven strategies and leadership skills alongside global peers.
Admission Process
Step 01
Enquire with Imarticus
Step 02
Apply by submitting your application
Step 03
Your application will be reviewed by ‘LBS Online Admissions Team
Step 04
Pay the course fee to confirm your seat
Course Fee
FAQs
The course is designed for executives and mid-to-senior-level managers with eight or more years of experience in management and leadership.
Yes, prior experience in a leadership role is recommended to maximise the course's learning outcomes.
All of our courses are conducted in English, and participants are expected to be able to understand and contribute.
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