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Lead AI-driven business transformation

About the programme

The Advanced Management Programme in AI Leadership is a 10-month blended learning programme designed for mid-to-senior professionals, functional heads, business unit leaders, senior executives and CXOs, entrepreneurs, and consultants seeking to harness AI as a strategic lever and drive AI-led transformation for organisational growth.

Designed by SPJIMR faculty, the programme is delivered through a combination of live sessions from SPJIMR faculty, executive sessions from industry leaders, self-paced learning material, assessments, and hands-on projects. The learning experience is further enriched by two on-campus immersions at SPJIMR, Mumbai, which enable in-person faculty engagement, peer networking, and deeper academic interaction.

The programme integrates core business management principles with cutting-edge AI capabilities, spanning Generative AI, Agentic AI, Machine Learning, data-driven decision-making, AI project management, AI governance, and enterprise AI strategy, enabling leaders to move from conceptual awareness to confident, informed decision-making. Towards the end of the programme, learners select a specialisation track to explore industry-specific use cases in greater depth. A mix of case-based pedagogy, applied projects, and a domain-specific Capstone ensures learning translates directly to business impact.

Upon successful completion, learners receive a ‘Certificate of Completion’ and an opportunity to gain the prestigious ‘Executive Alumni’ status from SPJIMR.

Key highlights

Reputation
SPJIMR is consistently ranked among the top 10 Indian B-schools and is globally recognised for fostering responsible innovation that benefits society.
Immersive learning
Two on-campus immersions at SPJIMR’s Mumbai campus for in-person faculty engagement, peer networking, and deeper academic interaction, supplemented by live online sessions and executive masterclasses.
No prior coding knowledge required
Designed for managers and business leaders seeking to understand and apply AI without requiring prior programming experience.
Specialisation tracks with industry-specific use cases.
Choose from Finance, Marketing, or Manufacturing and Supply Chain to explore tailored AI-driven use cases and deliver domain-specific business impact.
Guided AI tool demos for hands-on prototyping
Gain practical exposure to industry-relevant AI tools through guided demos and structured exercises, designed for experimentation and solution thinking — no deep technical expertise required.
Earn ‘Executive Alumni’ status from SPJIMR.
Upon successful completion, participants receive a ‘Certificate of Completion’ and the opportunity to earn the prestigious ‘Executive Alumni’ status from SPJIMR, an institution accredited with the noteworthy Triple Crown.

Programme objectives

Equip business leaders with the strategic knowledge and practical frameworks required to adopt, evaluate, and scale AI initiatives within their organisations — without needing to become technical specialists.

Programme outcomes

On successful completion of the programme, the learners will be able to –

Navigate the AI landscape

Navigate the AI landscape with a clear understanding of AI, machine learning, generative AI, and agentic AI, and identify where each creates business value.

Leverage data and analytics

Leverage data and analytics for executive decision-making and enhance strategic judgment.

Frame and lead enterprise AI strategy

Frame and lead enterprise AI strategy by evaluating AI opportunities, building prioritised portfolios, and driving AI adoption.

Apply responsible AI principles

Apply responsible AI principles by assessing ethical, regulatory, and governance risks of AI adoption, and embed responsible practices into organisational AI frameworks.

Commission and govern AI solutions

Commission and govern AI solutions, engage with technical teams and third-party vendors, and oversee deployment effectively.

Design and evaluate Agentic AI systems

Design and evaluate agentic AI systems for automating complex, multi-step business processes.

Participant profile: Who is it best suited for

The programme is ideal for professionals who want to lead and drive AI initiatives with a strong business focus, without becoming technical specialists.

Ideal participants include:

Mid-to-senior professionals and business unit leaders responsible for driving growth, efficiency, and innovation within their organisations, and looking to leverage AI as a strategic enabler.
Senior executives and C-suite leaders seeking a structured, executive-level understanding of AI’s strategic implications, including governance, risk, and long-term competitive positioning, to lead enterprise-wide AI transformation.
Entrepreneurs and business owners looking to embed AI into their business models, build competitive advantage, and scale through intelligent, technology-enabled operating models.
Functional heads and domain specialists aiming to apply AI within their domain for improving decision-making, customer experience, and operational performance.
Technical and strategy consultants advising clients on AI adoption, digital strategy, and transformation initiatives, and seeking a stronger business-led perspective to design and implement AI solutions.

Faculty

The programme is designed and delivered by SPJIMR faculty, with executive sessions led by senior industry leaders proposed by SPJIMR faculty.

Prof. Debmallya Chatterjee
Prof. Debmallya Chatterjee
Programme Director
Professor, Operations, Supply Chain Management and Quantitative Methods, SPJIMR

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Prof. Ashish Desai
Prof. Ashish Desai
Co-programme Director
Associate Professor, Information Management and Analytics, SPJIMR

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Programme curriculum

The Advanced Management Programme in AI Leadership is designed to take learners through a progressive learning journey, moving from AI awareness to application to leadership. It starts with establishing the strategic and analytical foundations of AI, followed by advanced topics such as generative AI, agentic AI, responsible governance, and leadership skills for managing AI teams and projects effectively. The programme culminates in industry-specific specialisation tracks and a capstone project.

The programme is delivered through a combination of live sessions from SPJIMR faculty, executive sessions from industry leaders, self-paced learning material, assessments, hands-on projects, and two on-campus immersions at SPJIMR, Mumbai.

  • Module 1 | AI, innovation, and competitive advantage

  • Module 2 | AI and the future of business decision-making

  • Module 3 | Data, cloud, and executive decision science

  • Module 4 | Machine learning for competitive advantage

  • Module 5 | Generative AI and intelligent automation

  • Module 6 | Agentic AI

  • Module 7 | Leading AI teams and projects

  • Module 8 | Responsible AI, governance, and enterprise risk

  • Industry-specific specialisation tracks

  • Capstone project

*Note – The above curriculum is under the purview of the academic team and is subject to change to ensure alignment with evolving industry requirements.

Download programme architecture

Campus immersion

The programme includes two thoughtfully designed campus immersions at SPJIMR, Mumbai, each spanning three days. The first immersion is scheduled around the second month, and the second immersion is scheduled towards the conclusion of the learning journey. The first immersion includes a campus orientation, in-person engagement with senior faculty, peer networking, and foundational sessions that establish the programme’s strategic context. Curated interactions with industry leaders further provide early exposure to real-world perspectives and contemporary business challenges.

The concluding immersion, conducted towards the end of the programme, is designed as an integrative experience that brings together learning from across modules. Participants return to campus for advanced discussions, reflection, and application, including interactions with senior faculty and invited industry experts on emerging finance and strategic themes. Together, these immersions deepen conceptual understanding, foster meaningful peer connections, and enhance executive presence through a rich, on-campus experience anchored in dialogue, reflection, and real-world insight.

Sample case studies

The programme is taught through case-study methodology, focusing on business scenarios that illustrate AI implementation across industries.

AI in credit analytics

AI in media buying and ad optimisation

GenAI-based personalised content generation

AI in transportation and logistics optimisation

AI and consent-based data usage

AI in sales forecasting and planning

Agentic AI in loan underwriting and approval

*Note – Case studies are under the purview of the academic team and subject to change to ensure alignment with evolving industry requirements.

Sample projects

Structured activities to apply concepts using AI tools and frameworks.

The programme features module-level group projects. Some of the sample projects are:

AI use case identification – business problem to ai solution
Identify a high-impact business problem in the organisation or domain and design a structured AI solution approach. Learners define the problem framing, required data, solution architecture, expected business impact, and an implementation roadmap.
Data visualisation and executive storytelling
Analyse a business dataset to uncover meaningful patterns and translate them into a structured executive narrative. The focus is on developing the ability to derive and communicate actionable insights from data.
RAG-based knowledge assistant
Experience a retrieval-augmented generation (RAG) assistant built over a curated document set. Learners evaluate the quality of responses, identify limitations, and develop an informed perspective on where RAG-based solutions add genuine enterprise value and where they require governance oversight.
Agentic AI process design
Map out an AI agent deployment for a complex business workflow. Learners define the decision logic, human oversight checkpoints, and governance safeguards, developing the managerial framework required to sponsor and oversee autonomous AI systems responsibly.
Data privacy and consent management
Evaluate the privacy and compliance dimensions of an AI-driven financial service, mapping data flows, user consent frameworks, and regulatory risk.
Impact assessment for AI workflow automation
Examine an AI-driven workflow that automates a multi-step business process, assessing its efficiency gains, failure modes, and governance requirements. The focus is on evaluating automation proposals critically and making informed decisions.
*Note – The above projects and assignments are under the purview of the academic team and are subject to change to ensure alignment with evolving industry requirements.

Technical tools covered

The programme provides exposure to a curated set of industry-relevant tools to enable hands-on experimentation, prototyping, and solution design. The focus is on practical application without requiring deep technical expertise.

Tools and technologies covered
Claude.ai

Claude.ai

ChatGPT

ChatGPT

Google AI Studio

Google AI Studio

NotebookLM

Notebook LM

Langchain

Langchain

LangGraph

LangGraph

Hugging Face

Hugging Face

Google colab

Google colab

Power BI

Power BI

*Note

  • The programme is primarily no-code, and the tools are for demonstrations and hands-on learning.
  • The focus is on experimentation, prompt design, and solution thinking, rather than technical programming depth.
  • Given the rapid evolution of AI technologies, the tools listed are indicative, and additional platforms may be introduced to ensure continued industry relevance.

Certificate

On successful completion of the programme, participants will get the following certificate:

Certificate
*Note: Image for illustration purposes only and is subject to change.

Admissions and finances

Eligibility
Candidates should hold a bachelor’s or master’s degree and have at least four years of work experience.
Timeline
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Process steps

Submit online application
Interview process
Join the programme
Fee structure
₹4,50,000 + GST
Financial assistance available

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Delivered in collaboration with

Great Learning

S. P. Jain Institute of Management & Research (SPJIMR) has partnered with Great Learning to offer the Advanced Management Programme in AI Leadership. Great Learning is a leading global ed-tech company for professional and higher education, serving over 14 million learners across 170+ countries, with 500 million+ learning hours delivered, a 91% course completion rate, and a 4.8/5 learner rating, supported by 8,200+ industry mentors.

Great Learning manages enrolments and delivers end-to-end learner support, programme management, and industry-led mentorship. The programme draws on SPJIMR’s academic rigour and practice-oriented approach, combining faculty-led insights with real-world application to enable professionals to drive AI-led business transformation.

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