Table of Contents
The Indian Institute of Technology (IIT) Delhi has launched an advanced programme in Technology & AI Leadership (TAILP) aimed at equipping tech professionals with vital skills for an AI-driven world. The curriculum includes essential topics such as AI and machine learning in business, digital transformation, cyber resilience and emerging technologies like blockchain and the metaverse.
Eligibility for the programme extends to graduates (10+2+3) and diploma holders from recognized universities. Applications must be submitted by September 25, with classes commencing on January 19. The seven-month course features a capstone project. allowing participants to gain practical experience in addressing real-world technology challenges. Participants will also engage in a two-day campus immersion at IIT Delhi, where they can network with faculty and peers, participate in workshops and enhance their leadership skills.
The programme focuses on developing technology strategies managing IT systems with an emphasis on cybersecurity and fostering leadership qualities essential for AI-driven projects With access to IIT Delhi cutting-edge AI research, graduates will be well-prepared to drive innovation in the rapidly evolving digital landscape. The fee is Rs 1.69 lakh plus GST and participants will receive a certificate from IIT Delhi upon successful completion.
Who Is This Programme For
- The programme focus on technology executive development will support the evolving role of technology strategy and management in modern-day business.
- New and emerging tech leaders and IT decision-makers seeking to hone their technology management skills and strategic acumen for driving successful and impactful digital transformations
- Functional managers in Core business functions who want to embrace technology to drive up efficiency and innovation and aspire to bigger more powerful leadership positions and global roles
- Business consultants, analysts and tech entrepreneurs who want to acquire advanced skills to reimagine aspects such as AI strategy, capture new markets and disrupt business models and build a stronger more relevant and agile brand with their customers
Industry-Aligned Curriculum
Module 01
Managing AI and ML for Business
- Overview of AI, ML and Data Science
- Computational approaches in Artificial Intelligence
- Deep Learning, Computer Vision and Generative AI
- Hands-on in Machine Learning for Leaders
- Governance and Strategies for Managing Responsible AI
Module 02
Managing Digital Transformation and Strategic Alignment
- Technology and Business Strategy Fusion: Strategic Alignment
- Process and Challenges of Digital Transformation
- Planning and executing AI-led Digital Transformation
- Enterprise Systems and Enterprise Architecture
Module 03
Organisational Leadership in the World of AI and DT
- Talent Acquisition, Development and Retention Strategies in Technology Teams
- Change Management in Digital Transformation
- Organisation Culture Management and Skill Development in
- Technology-led Organisation
Module 04
Project Leadership and IT Project Management
- Software Project Management and Agile Paradigms
- Lean Methodologies – Resource Planning and Budgeting
- Orchestrating Deployment: DevOps
- Project Finance, Budgeting and Valuation and ROI
Module 05
Cyber Resilience and Information Assurance
- Overview to Cyber Security Threats in an AI Era
- Cyber Vulnerability and Threat Management
- Audits of Cyber Security Initiatives
- Human Factors in Cyber Security
Module 06
Emerging Digital Technologies and Business Models
- Cloud Enterprise Systems and Quantum Computing in
- Enterprises
- Blockchain, Cryptocurrencies and Financial Technologies
- Digital Platforms and Platform Economy
- Leveraging Emerging Technologies for Digital Content
- Management in Search Engines — Google case-study
- Mixed Reality (MR) and Extended Reality (XR)
Capstone Project
- Part A: Emerging Technology Deep Dive
- Part B: Emerging Technology Readiness Assessment
Participants scoring at least 40% in the evaluation components and maintaining a minimum of 40% attendance in both lectures and tutorials will be awarded a completion certificate. Those who fail to secure 40% in the evaluation components will be eligible for a participation certificate if their attendance is above 40% in both lectures and tutorials.
IIT Delhi Advanced Programme in Technology and AI Leadership Dates
Candidates can check the table to know the important dates of the Advanced Programme in Technology and AI Leadership:
Events | Dates |
---|---|
Last date to apply | September 25, 2024 |
List of shortlisted candidates | October 1, 2024 |
Last date to pay the programme fee | Within 5 days of selection |
Technical orientation | December 30, 2024 |
First academic session | January 19, 2025 |
What Will Students Achieve From The Program
Through this programme participants will gain expertise in efficient Python programming focusing on how to effectively load and pre-process data from various online and offline databases using the Pandas library. They will explore fundamental principles and challenges in machine learning as well as design and train neural networks using the Keras and TensorFlow frameworks.
By the end of the programme learners will be capable of designing and implementing various machine learning and deep learning techniques applying these skills to real-world problems. Dr. Manav Bhatnagar Head of CEPQIP and Brigadier Bhopinder Singh Chair Professor at IIT Delhi emphasized the institute commitment to providing cutting-edge education that meets industry demands. He stated, “As machine learning and deep learning continue to transform industries globally our certificate programme is crafted to offer a thorough education that combines theoretical foundations with practical skills. This initiative aims to prepare participants for the evolving landscape of technology and innovation.