S. P. Jain Institute of Management & Research (SPJIMR)

The programme is led by distinguished experts, including:

• Prof. Ashish Desai: An expert in Information Management and Analytics with over 27 years of experience in tech-driven financial services and policy-making at NITI Aayog.
• Prof. Debmallya Chatterjee: A specialist in Operations and Supply Chain Management with two decades of experience in training and research.

The curriculum of the SPJIMR Executive Program in AI for Business Leaders is purposefully designed to move beyond technical programming and address the strategic, operational, and ethical challenges of implementing AI in a business environment. It tackles governance, risk, and team-building through dedicated modules and practical projects.
The programme directly addresses risk and compliance in the module: Responsible AI, Governance, and Enterprise Risk. This module equips leaders to make nuanced judgments about large-scale AI adoption by teaching them to assess ethical, regulatory, and governance risks. Key focus areas include bias mitigation, explainable AI, regulatory compliance, and establishing robust enterprise data governance frameworks. Furthermore, governance concepts are woven into the study of emerging technologies.

Yes, you can customise your learning through Industry-Specific Tracks designed specifically for functional roles. After completing the core curriculum, the programme allows you to select a specialisation domain to apply AI concepts and frameworks directly to tailored, domain-relevant business use cases.
You can choose to specialise in one of the following functional areas:

• Financial Services and FinTech: Focuses on applying AI in UPI and real-time payments ecosystems, digital lending and alternative credit scoring, fraud detection, cyber analytics, and embedded finance.
• Digital Marketing and MarTech: Explores AI-driven customer segmentation, predictive analytics, personalised content and campaign automation, and omnichannel experience orchestration.
• Supply Chain / Operations: Covers Industry 4.0, IoT, digital twins, predictive maintenance, AI-driven production planning, quality analytics, and building intelligent supply networks.

(Note: The programme also offers a fourth track in Technology Leadership).

You will definitely get hands-on practice with a curated set of industry-relevant AI tools designed to enhance productivity and executive decision-making. This programme provides guided exposure to platforms including Claude, ChatGPT, Google AI Studio, NotebookLM, LangChain, LangGraph, Hugging Face, Google Colab, and Power BI.
The core focus of using these tools is on prompt design, solution thinking, and practical business application rather than technical programming depth. This ensures non-technical leaders can confidently evaluate AI platforms and align technology with broader business priorities.

Participants will work on hands-on projects that focus on applying AI to real business challenges. These include evaluating a RAG-based knowledge assistant, identifying and designing AI solutions for business problems, creating Agentic AI workflows with governance safeguards, assessing data privacy and compliance risks, analysing AI-driven workflow automation, and using data visualisation for executive decision-making. The programme also includes a final industry-specific Capstone Project where participants design and present an AI solution for their domain, such as finance, marketing, manufacturing, or technology leadership.

Yes, the campus immersions are specifically designed to provide in-person access to peers, senior faculty, and industry leaders that goes beyond what an online classroom can offer.
As a senior professional, you will participate in a four-day campus immersion at SPJIMR in Mumbai at the conclusion of your learning journey to deepen faculty engagement, present your Capstone Project, and network with peers. These immersions act as critical touchpoints to ensure your online learning translates into highly valuable, real-world executive connections.

Yes, an AI leadership programme is absolutely worth it at your stage. In fact, the SPJIMR Executive Program in AI for Business Leaders is explicitly designed for mid-to-senior professionals, business leaders, CXOs, entrepreneurs, and consultants who want to drive AI adoption, improve efficiency, and lead digital transformation within their organisations. No coding background is required, making it accessible for leaders focused on strategy, decision-making, and business impact rather than AI development.

Candidates must hold a Bachelor's or Master's degree and have at least 4 years of work experience.

The selection process involves three steps:
1. Application: Fill out an online application form.
2. Interview: A review by the admissions committee and faculty panel.
3. Offer: Selected candidates receive an offer letter and must pay a registration fee to confirm their seat.

Yes, non-technical managers and business leaders can effectively learn AI without any coding experience by focusing on strategic business applications rather than technical depth.
The Executive Program in AI for Business Leaders by SPJIMR is specifically designed as a primarily no-code experience, meaning participants can lead AI initiatives without needing to become technical specialists.
Instead of writing code, non-technical leaders learn to effectively harness AI through:

• Hands-on Prototyping
• Prompt Design and Solution Thinking
• Strategic Decision-Making
• Governing Technical Teams

Yes, an AI leadership programme is highly valuable for mid-career professionals, senior executives, and CXOs who want to lead AI-driven transformation without becoming technical specialists. The programme focuses on strategic AI adoption, helping leaders identify high-impact business opportunities, drive ROI, manage AI governance and risk, and oversee technical teams confidently. Participants also gain hands-on exposure to industry tools, build domain-specific AI strategies, and expand their network through executive peer learning and SPJIMR Executive Alumni Status. Ultimately, the programme helps leaders move from basic AI awareness to making confident, business-focused AI decisions.

Yes, financial assistance is available through partners such as Propelld, Zest, Eduvanz, and LiquiLoans. These options are facilitated through Great Learning. Please reach out to your Programme Manager for more details.

Graduates gain the ability to navigate the AI landscape, lead AI teams, and oversee deployment effectively. Additionally, becoming part of the 18,000+ SPJIMR alumni network provides access to high-impact leadership roles globally.

Professionals can learn AI through executive programmes that focus on business applications rather than technical depth. This programme is designed for non-technical leaders and emphasizes strategic thinking, use cases, and decision-making over coding

AI improves efficiency by automating workflows, enhancing accuracy, and enabling faster decision-making. Technologies like Machine Learning, Generative AI, and Agentic AI streamline operations, optimise processes, and reduce manual effort across functions like marketing, finance, and supply chain.

AI training for employees equips teams to work alongside AI systems, interpret insights, and improve productivity. It helps organisations build cross-functional AI capabilities, enhance decision-making, and foster innovation. This programme specifically supports capability building across teams to sustain AI-led transformation.

Companies can improve workforce engagement by leveraging AI for automation, decision support, and workflow optimisation. This programme teaches leaders how to implement AI-driven systems, manage change, and build AI-enabled teams that are more engaged and efficient.

Yes, AI can make decisions and take actions on its own through a specific branch of technology called Agentic AI, and as a leader, governing this technology is one of your most critical responsibilities.
How it works in your business: Unlike traditional AI that just answers questions or analyzes data, Agentic AI has the ability to "autonomously plan, reason, and execute tasks." In a business environment, this means Agentic AI can enable the "end-to-end automation of complex decision workflows." For example, in a process like loan underwriting, an AI agent can independently gather data, assess creditworthiness, and make an initial approval decision, significantly improving operational speed and efficiency.
Your role as a leader: Because these systems take independent action, they raise massive questions around "control and accountability." You absolutely must manage them. While you don't need to write the code, your role is to develop the "managerial framework required to sponsor and oversee autonomous AI systems responsibly."