

Next Cohort
Admission Deadline
Duration
96+
96+
6+
6+
8
8
2
2
10+
10+
7+
7+
*Brochure serves as the primary source for comprehensive information about the program.
Foundations of AI - Concepts, Capabilities & Business Use
The Language of AI - Models, Data, Learning & Feedback Loops
Data Thinking for AI-Enabled Leadership
Strategic Thinking in the Age of AI
Supervised Learning Techniques
Unsupervised Learning Techniques
Introduction to Neural Networks & Deep Learning
Natural Language Processing (NLP)
Generative AI Landscape: Models, Tools & Ecosystems
GenAI for Business: Content, Code, Design, and Beyond
Prompting & Prototyping: Hands-On GenAI for Leaders
Enterprise Readiness: Challenges, Risk, Integration
Aligning AI Strategy with Business Strategy
AI Opportunity Framing & Use Case Prioritization
Building AI Execution Roadmap
AI Budgeting, ROI, Value Realization
AI Business Model Canvas & Design Principles
Platform Thinking, Network Effects, and Data Flywheels
Embedding Intelligence into Products & Services
Monetizing AI: Pricing, Subscriptions, and Margins
Develop a comprehensive AI strategy for your business unit or organization. Define a compelling AI vision, identify and prioritize 3–5 high-impact use cases, and create a multi-year roadmap with budgeting, governance, and risk considerations. Align your strategy with business goals and propose key success metrics. Present your strategy as a leadership plan that balances ambition, feasibility, and measurable value for the enterprise.
Identifying High-Impact AI Product Opportunities
Design Thinking for AI: From Problem to Prototype
Building AI MVPs with No-Code Tools
Testing, Iterating, and Scaling AI Solutions in the Enterprise
Building and Leading High-Impact AI Teams
Leading Organizational Transformation in the AI Era
Change Management Strategies for AI Adoption
AI Adoption Playbook: Communication, Resistance, Scaling
What are AI Agents, Multi-Agent Systems & Autonomous Workflows
Business Use-Cases: AI Agents in Ops, CX, Sales & Strategy
Designing and Simulating Agentic Workflows
Strategic Bets: Where AI Agents Will Disrupt Your Industry
Develop a GenAI-enabled solution to solve a real business problem in your function or industry. Define the use-case, outline how generative AI (e.g., LLMs, image or code generation) creates value, and design a prototype workflow using no-code or low-code tools. Address data needs, ethical risks, and governance. Present a business case with expected outcomes, demonstrating your ability to lead AI innovation from concept to execution.



*Brochure serves as the primary source for comprehensive information about the program.































































*Note: All product and company names are trademarks or registered trademarks of their respective holders, use of them does not imply any affiliation with or endorsement by them.
Dedicated technical assistance to ensure uninterrupted learning and smooth project execution.
Expert-led troubleshooting and guidance for resolving technical issues and navigating complex challenges.
Self-serve support resources including FAQs, step-by-step guides, and interactive support sessions.
STARTS AT
₹8,645
per month
Total Fee
96+ Class Hours
10+ Tools and Frameworks Covered
6 Career Sessions by Accredian
Every submission is given thoughtful consideration!