Programme Content
Sub Modules
Evolution of Technology: From Industrial Revolutions to Future Tech
AI as a Core Driver of Future Technologies
Leadership in the Age of Digital Transformation
Role of Emerging Technologies (IoT, Big Data, Blockchain, 6G
Strategic Overview of Tech Leadership Trends
Learning Outcomes
Understand the fundamental concepts of Artificial Intelligence and its role in digital transformation across industries.
Gain insights into how AI drives efficiency, innovation, and competitive advantage in Industry 5.0 environments.
Sub Modules
AI Fundamentals: Algorithms, Models, and Applications
AI in Business Strategy and Decision-Making
Machine Learning and Deep Learning for Leaders
Generative AI and ChatGPT for Enterprise Innovation
Leadership in the era of Industry 5.0: Augmenting human potential
Case Studies: AI-Driven Business Transformations
Learning Outcomes
Learn how to collect, analyze, and interpret data to inform high-impact business decisions.
Develop skills in working with large datasets and using AI models for predictive and prescriptive analytics.
Sub Modules
Internet of Things (IoT) and Edge Computing
Big Data Analytics and Predictive Insights
Blockchain for Transparency and Trust
6G Connectivity and Ultra-Low Latency Applications
Learning Outcomes
Understand the foundational principles and applications of emerging technologies like IoT, Big Data, Blockchain, and 6G in business ecosystems.
Learn to integrate these technologies to enhance operational workflows and enable intelligent decision-making.
Sub Modules
Design Thinking for Leaders: Driving Innovation
Human-Machine Collaboration and HMI
Ethical AI and Leadership Challenges
Digital Twins, AR, and VR in Innovation
Building Cross-Functional Collaborative Teams
Learning Outcomes
Develop innovation-driven leadership skills through design thinking, digital twin integration, and human-centric approaches.
Learn to foster cross-functional collaboration and manage human-machine interactions in the innovation process.
Sub Modules
AI in Automation and Operational Excellence
AI-Driven Supply Chain Management
Tech-Driven Workforce Transformation
Applications of IoT and AI in Healthcare, Retail, and Finance
Business Model Innovation with Emerging Technologies
Learning Outcomes
Apply AI and automation tools for improving operational efficiency across verticals like supply chain, healthcare, and retail.
Explore emerging technology use-cases in real-world business models to drive transformation and innovation
Sub Modules
Cybersecurity Leadership in AI-Powered Systems
Addressing Privacy and Ethical Dilemmas in AI
Risk Management and Compliance in Future Tech Application
Learning Outcomes
Understand cybersecurity risks, ethical challenges, and compliance frameworks associated with AI and future tech.
Build leadership skills for responsible tech governance and decision-making in high-stakes environments.
Sub Modules
Creating a Leadership Roadmap for Future Technologies
The role of AI in driving personalization
Understanding sustainability in the digital age
Panel Discussion with Industry Experts
Capstone Project Guidance and Presentations
Learning Outcomes
Apply knowledge from across modules to develop a future-tech leadership roadmap aligned with innovation and sustainability goals.
Deliver a capstone project showcasing strategic thinking, technology application, and industry alignment.
Lab Session 1: Introduction to Python for Data Science
Data Exploration & Visualization Techniques
Building Simple ML Models
Labs Session 2: Building an IoT System with Sensors and Microcontrollers
Real-Time Data Collection on Edge Devices
IoT Platform Hands-On
Lab Session 3: Developing a Basic Digital Twin Model
Predictive Maintenance Simulation
Data Visualization from Digital Twins
Lab Session 4: Setting up Big Data Pipelines
Real-Time Analytics with Spark
Cybersecurity for IIoT
Lab Session 5: Using AR/VR for Virtual Plant Tours
Developing HMI Screens and Touchpoints
Successful Industry 4.0 Implementations and Lessons Learned
10. Tools