Chief Technology Officer & AI Leadership Programme
Lead at the intersection of strategic technology leadership and AI innovation with this Chief Technology Officer & AI Leadership Programme course.
Online
6 Months
3,50,000 INR Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based |
Course Overview
The Chief Technology Officer & AI Leadership Programme course is designed to build strategic technology leadership capabilities in seasoned professionals aiming to drive enterprise level transformation. This Chief Technology Officer & AI Leadership Programme course is delivered by IIM Udaipur and IIIT Bangalore and hosted on upGrad platform. This Chief Technology Officer & AI Leadership Programme course combines advanced technologies acumen with business strategy, governance frameworks, and AI leadership principles to prepare learners for executive roles such as CTO, CIO, Head of Technology, and other senior leadership positions.
In the spanning duration of six months, the participants will engage in a structured curriculum that spans platform architecture, enterprise AI strategy, risk and security governance, financial leadership and organisational design. This Chief Technology Officer & AI Leadership Programme course also includes exclusive experiential learning components like intensive workshops and a Microsoft AI Immersion, ensuring hands-on exposure to real world technology scenarios. Successful completion awards a joint certification from both IIM Udaipur and IIIT-Bangalore, enhancing executive credibility and strategic leadership profile.
The Highlights
- 6 months duration
- Live sessions by faculty
- Joint certification by IIM Udaipur & IIIT Bangalore
- Designed for executive-level tech leaders transitioning to CTO roles
- Dual immersion: AI success strategy workshop + Microsoft AI Leadership Immersion
- Practical capstone project: Board-ready CTO dossier
- Focus on AI adoption, platform engineering, cloud strategy & P&L leadership
- Peer cohort networking & leadership assessment frameworks
Programme Offerings
- 6 months duration
- workshops
- Peer Networking
- Alumni Status
- expert faculties
- Capstone Projects
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | IIIT BangaloreIIM Udaipur (IIMU) |
The fees for this Chief Technology Officer & AI Leadership Programme is :
Fees components | Amount |
Programme fees | Rs. 3,50,000 |
Installments Schedule :
Propelled :
Tenure (Monthly) | Interest | EMI |
9 | 18 | Rs. 40,014 |
12 | 18 | Rs. 30,708 |
18 | 18 | Rs. 21,403 |
24 | 18 | Rs. 16,750 |
36 | 18 | Rs. 12,097 |
48 | 18 | Rs. 9,771 |
Fibe
Tenure (Monthly) | Interest | EMI |
12 | 18 | Rs. 30,746 |
18 | 18 | Rs. 21,407 |
24 | 18 | Rs. 16,757 |
36 | 18 | Rs. 12,144 |
GrayQuest
Tenure (Monthly) | Interest | EMI |
9 | 15.8 | Rs. 39,664 |
12 | 15.8 | Rs. 30,360 |
18 | 15.8 | Rs. 21,055 |
24 | 15.8 | Rs. 16,402 |
Eligibility Criteria
The participants need to have a bachelor’s degree with at least 8 years of working experience.
What you will learn
In this Chief Technology Officer & AI Leadership Programme, the participants will gain the integrated knowledge and practical skills required to lead organisations through digital transformation by fusing technical expertise with strategic leadership. This Chief Technology Officer & AI Leadership Programme curriculum starts with foundational principles of enterprise architecture, platform engineering and cloud native technology, enabling professionals to design agile, scalable systems that support real world digital products and services. Strategically oriented modules focus on building, monitoring, and operating AI solutions from CI/CD and MLops pipelines to responsible AI governance frameworks that account for operational resilience and ethical considerations.
Who it is for
The target audience for this Chief Technology Officer & AI Leadership Programme includes:
Admission Details
- The participants need to visit the Chief Technology Officer & AI Leadership Programme URL : https://www.upgrad.com/ctaio-iimu-iiit/
- Submit your application with your relevant details
- Submit the amount to save your seat
- After that you can access the course and then you have to submit the amount remaining.
The Syllabus
- Design data strategies that create competitive moats through data products and analytics capabilities
- Assess enterprise AI readiness using diagnostics and maturity models
- Architect responsible, scalable AI systems from classical ML to GenAI and agentic workflows
- Build production-grade AI systems with end-to-end lifecycle management
- Operationalize AI at scale using MLOps and LLMOps best practices
- Define operating models, governance, and ROI frameworks for sustained AI impact
- Design scalable, cloud-native platform architectures aligned to business growth and resilience needs
- Make informed build-buy-partner decisions using TCO, time-to-value, and ecosystem considerations
- Apply modern platform engineering principles to improve developer productivity, reliability, and observability
- Build enterprise-wide cyber and technology risk governance aligned to board and regulatory expectations
- Design resilience strategies covering business continuity, disaster recovery, and failure scenarios
- Embed AI governance, security controls, and trust mechanisms into enterprise technology systems
- Translate platform & AI capabilities into business value narratives
- Construct investment cases
- Align product–tech strategy for the IIM-U phase
- Strategic versus operational thinking: technology vision, strategic anchors, and value-driver mapping
- CTO-CPO product partnership, roadmap governance, and AI-infused product strategy
- Backcasting for long-term vision: multi-year sequencing and disruption-timing decisions
- Innovation portfolios: Core, Adjacent, and Transformational initiatives with innovation accounting and stage-gate governance
- Platform versus pipeline economics, network effects, and digital moat design
- Technology as a P&L center: revenue, margin, and risk levers with disruptor versus incumbent valuation dynamics
- FinOps mastery: cloud unit economics, AI model costing, and API or data monetization models
- ROI frameworks, real-options valuation, risk-adjusted investment bets, and transformation sequencing
- Cross-functional budgeting across business lines with governance cycles
- M&A tech due diligence: architecture quality, data integrity, technical debt assessment, IP evaluation, and synergy capture
- Executive narratives: crafting platform and AI transformation story arcs with narrative compression and executive briefing techniques
- Board-level investment cases: structure, sequencing, objection handling, and trade-off framing
- Crisis communication, executive presence, stakeholder navigation, and coalition-building
- Organization design: platform, product, and AI guild models with diagnostics for efficiency, ownership clarity, and decision bottlenecks
- AI talent strategy: skills architecture, performance frameworks, and talent sourcing models (buy, build, partner)
- Leading transformation: culture-behavior alignment, operating rhythms, and coalition orchestration
- Inclusive leadership, psychological safety, cultural intelligence, and human-AI collaboration patterns
- Running AI and GenAI experiments safely at scale within a learning organization
- Platform Architecture Blueprint
- Technology Risk & Security Governance Framework
- Enterprise AI Opportunity Map
- AI Initiative Pipeline & Implementation Roadmap
- Technology & Product Strategy Roadmap (18-24 months)
- Technology Investment Case & Valuation Narrative
- Board-Ready CTO Presentation Deck
- AI-Ready Organization & Talent Blueprint
IIM Udaipur (IIMU) Frequently Asked Questions (FAQ's)
The duration of this Chief Technology Officer & AI Leadership Programme is six months.
Mid-senior tech leaders, engineering heads, and professionals with 8+ years of experience aiming for CTO or similar roles should consider this Chief Technology Officer & AI Leadership Programme.
Yes, it is delivered online with live sessions, workshops, and virtual interactions, along with optional immersions.
The participants will receive a joint certification from IIM Udaipur and IIIT Bangalore validating strategic tech leadership and AI capability.
Yes, flexible payment plans may be available upon request.