AI Transformation Leadership Program
Leaders already have enough AI content, tools, webinars, and online courses. The real gap is decision clarity, use-case prioritisation, ROI thinking, and adoption ownership.
Program At A Glance
- Certification Zero Zeta Certificate of Completion
- Duration 10 Weeks
- Format Live weekend sessions
- Physical Sessions 3 metro-based in-person sessions
- Audience Leaders, managers, and functional decision-makers
- Support Guided capstone and use-case support
- Fee ₹47,000 + GST
- Total Payable ₹55,460 including GST
AI Adoption Focus
Learn how to apply AI to real business functions, workflows, decisions, and performance priorities.
Practical Use Case Discovery
Identify where AI can improve efficiency, forecasting, customer engagement, productivity, and cost optimisation.
Post-Program Support
Get guided support after the program to refine use cases and apply learning at work.
Senior Leadership Format
Designed for CXOs, VPs, directors, business heads, senior managers, and functional leaders.
No Coding Requirement
Apply AI to business problems without needing a heavy programming background.
Practical Business Application
Work on use cases connected to operations, sales, marketing, finance, supply chain, customer experience, and decision support.
Why this program now
AI is no longer a future-facing topic for leadership teams. It is already entering workflows across sales, marketing, finance, HR, operations, customer support, supply chain, and strategy.
The issue is not lack of information. Leaders are already surrounded by AI content, tool lists, online courses, webinars, and opinions. The real gap is decision clarity. Which use cases should be prioritised? What data is needed? What should be automated? Where is the ROI? What are the risks? Which pilots can scale?
This program is designed for that gap. It helps senior professionals move from passive AI awareness to practical AI judgment, use-case selection, and business adoption planning.
Too much AI content, not enough business clarity
AI adoption now needs ownership
Delay creates capability gaps
Why this program works
This is not a generic AI course. It is a guided business program built for leaders who need to apply AI in real organizational contexts.
Participants are not expected to become programmers. They are expected to become better decision-makers around AI opportunities, use-case feasibility, business impact, and implementation readiness.
This program helps participants:
- Use-case led, not topic led
- Built for leadership judgment
- No-code and business-first approach
- Guided capstone application
- ROI, risk, and governance focus
Who This Program Is For
This program is designed for experienced professionals and business leaders responsible for performance, execution, decision-making, and transformation in their organisations.
Ideal Participant Profiles:
- Leaders & Managers: CXOs, VP, Directors, Business Heads, Managers, and Leaders who need to drive AI adoption or manage AI initiatives.
- Functional Leaders: Functional leaders (Product, Marketing, Ops, HR, Finance) who want to build custom AI workflows.
- Advisors & Consultants: Professional services leaders, consultants, and advisors helping clients navigate AI adoption.
Program Fit & Focus
Who this program is NOT for:
Junior software developers or students looking for deep coding/programming courses. This is a non-technical, business-focused program.
No Programming Background Required
If you are comfortable with business tools, structured thinking, and cross-functional problem-solving, you can benefit from this program without any coding background.
What Participants Will Gain
Build the business and strategic capabilities needed to evaluate, design, and guide successful AI adoption projects.
Evaluate AI in business context
Identify where AI initiatives fit business goals, operating priorities, and transformation agendas.
Identify high-impact AI use cases
Spot high-value AI use cases and workflows across functions and industries.
Understand AI, ML, GenAI, LLMs, and agents in business workflows
Understand how modern AI systems support decision-making, automation, and operational performance.
Lead cross-functional AI conversations
Ask relevant questions of data science, technology, analytics, and functional teams.
Assess feasibility, risk, governance, and ROI
Evaluate project feasibility, reliability, compliance, business risk, and return on investment before scaling.
Apply AI through a capstone project
Work on a guided capstone project connected to a real operating challenge in your organization.
Where You Will Apply AI
Build capability across core strategic areas and high-value business functions.
AI Strategy
Defining enterprise objectives, checking readiness, and evaluating make, buy, or partner decisions.
Generative AI Workflows
Integrating LLMs and generative tools to optimize daily business tasks and roles.
LLMs and RAG
Connecting large language models to internal data repositories via retrieval-augmented workflows.
Agentic AI
Designing autonomous reasoning loops, multi-agent frameworks, and tool-integrated orchestration.
Forecasting and Planning
Using ML models to predict demand, plan inventory, and optimize resource allocation.
Sales and Marketing Productivity
Implementing AI models for lead scoring, customer segmentation, and personalization.
Finance Automation
Streamlining billing audits, duplicate detection, and automated compliance reporting.
Operations and Supply Chain
Improving logistics routes, quality monitoring, and workflow automation.
Apply AI to a Real Business Challenge
Participants will work on a guided capstone project connected to their function, industry, or business priority.
Capstone outcomes:
- Identify a high-value AI use case
- Define the business problem and expected impact
- Map required data, workflow, users, and risks
- Evaluate feasibility, ROI, and governance needs
- Present a practical AI adoption roadmap
Industry Use Cases
Select and adapt a framework from key functional areas:
Program structure and modules
The program features structured live weekend sessions and guided application, designed for working professionals. Sessions are structured to support revision, reinforcement, and practical business application.
Pedagogy & Delivery
Program Modules
AI Strategy, Enterprise Adoption, and Modern AI Stack
Learn to frame AI initiatives as strategic business moves. Focus on understanding enterprise AI strategy, organizational readiness, mapping the modern AI ecosystem, and the strategic differences between make, buy, or partner choices.
Data Foundations for AI Solution Design
Auditing and preparing data assets for AI integrations. Learn database basics, data modeling, ingestion, clean data pipelines, and structuring logs to serve as a reliable ground truth for machine learning workflows.
Data-Driven Model and AI-Enabled Transformation
Core machine learning models in a business setting. Focus on predictive analytics, classification models, customer segmentation (clustering), demand planning forecasts, and establishing baseline performance indicators.
How LLMs Reshape AI Solutions, Workflows, and Advantage
Generative AI in business workflows. Explore Large Language Models (LLMs), prompt engineering strategies, custom finetuning contexts, and building generative copilots to optimize daily business operations.
Foundations of Agentic AI Systems
Understanding the transition to autonomous agentic architectures. Focus on agent reasoning loops, multi-agent frameworks, task delegation planning, and designing self-correcting business workflows.
Agent Orchestration and Tool-Integrated AI
Customizing and connecting agents to external databases and tools. Focus on API call integrations, retrieval-augmented generation (RAG) connections, maintaining context memory, and orchestrating models for specific enterprise use cases.
AI Evaluation, Reliability, and ROI
Establishing metrics for model outputs. Learn to audit risk, establish governance guidelines, enforce compliance standards, and build a clean framework to measure project-level return on investment (ROI).
Learn from AI Practitioners, Business Leaders, and Industry Experts
The program brings together Zero Zeta mentors, industry practitioners, data leaders, and business transformation experts across selected sessions, discussions, and capstone guidance. The profiles below represent examples of the expert perspectives participants may engage with during the program.
Vineet Srivastava
AI adoption strategist and enterprise learning innovator. Vineet has decades of experience designing and scaling business transformation programs for senior professionals.
Gaurav Gupta
Expert in enterprise software, data science, and AI platform engineering. Gaurav leads program architecture and practical implementation workflows.
Gayatri Sahasrabuddhe
Specialist in analytics architecture, enterprise data systems, and AI training. Gayatri focuses on mapping model designs to business workflows.
Certificate You Will Receive
Participants who complete the program requirements and capstone project will receive a Zero Zeta Certificate of Completion.
- Zero Zeta-certified executive program
- Capstone-based completion
- Focused on AI-driven business transformation
- Designed for practical business and leadership application
This certifies that the participant has successfully completed the AI Transformation Leadership Program.
Program Fee and Payment Support
Complete Program Fee
Executive Admission Process
Submit Interest
Share your professional profile details to explore fit and request the program info kit.
Advisory Discussion
Schedule a call with the admissions advisor to clarify curriculum fit, timeline commitments, and goals.
Enrollment & Onboard
Confirm seat registration, complete payment setups, and receive program resource access credentials.
Certification & Requirements
Participants who satisfy the program requirements will receive an Executive Certificate of Completion from Zero Zeta.
Assessment Components & Support
Evaluation Pillars:
- Live class interaction
- Weekly review quizzes
- Program assignments
- Capstone completion
Participant Support:
- Class video recordings
- Assigned reading list
- Mentorship sessions
- 1:1 doubt-clearing
Frequently Asked Questions
Find answers to common questions about program format, technical prerequisites, capstone deliverables, and certifications.
