Programme Overview
The global business landscape is undergoing a technological revolution with the emergence of Industry 4.0. This transformation integrates innovative technologies, automation, and data- driven processes into traditional industries. Manufacturing, supply chain management, and service sectors are rapidly adopting Artificial Intelligence (Al), the Internet of Things (loT), Cyber-Physical Systems (CPS), Big Data, and Robotics to enhance efficiency, productivity, and competitiveness.
This three-day programme provides a comprehensive understanding of Industry 4.0 and its impact on business operations and policymaking. Through practical case studies and hands- on training, participants will explore real- time data analytics, Al-driven automation, and business intelligence tools.
Aligned with the Karmayogi Functional Competency Model (Data Analytics - Guna of Riijyakarma), the programme equips professionals with the ability to handle big data, leverage analytics tools, and decode Al, ML, loT, and blockchain technologies to drive
OBJECTIVES
- Gain insights into Industry 4.0 concepts, including smart factories and intelligent automation.
- Understand how loT, Al, and Big Data reshape industries and business strategies.
- Explore business intelligence tools to enhance operational efficiency.
- Learn the role of Al & ML in business transformation.
CONTENT
Day 1: Foundations of Industry 4.0
- Evolution and key technologies of Industry 4.0
- Impact on global industries and business operations
- Introduction to Al and ML in business transformation
Day 2: Data Analytics and Al-Driven Decision Making
- Real-time data analytics and Al-powered automation
- Data visualisation techniques using Power Bl
- loT-enabled industrial processes and their applications
Day 3: Implementation Strategies and Future Trends
- Industry 4.0 adoption frameworks and business transformation strategies
- Fundamentals of loT and blockchain integration
- Case studies on successful digital transformation initiatives
- Capstone project applying acquired skills in a practical scenario
METHODOLOGY
The training adopts an interactive and application-oriented approach, featuring:
- Engaging in classroom sessions covering fundamental concepts
- Hands-on training with Al and business intelligence tools
- Case studies on automation and digital transformation
- Group discussions and a capstone project for practical application
FACULTY
ASCI faculty members and industry experts with extensive experience in digital transformation, automation, and business intelligence will lead the programme.
PARTICIPANT PROFILE
This programme is designed for government officialsinvolved in industrial policy,smart cities, digital transformation, and manufacturing and operations managers integrating Industry 4.0 technologies. It is also suitable for business analysts, engineers, and technology leaders focused on intelligent automation. Additionally, logistics, supply chain, and production planning professionals seeking to leverage data-driven decision-making will benefit from this training.
Organisational sponsorship is essential
VENUE
The programme is fully residential and the participants will be accommodated in air-conditioned single-occupancy rooms. The college does not provide accommodation for the family. The college campus is Wi-Fi-enabled comprehensively.
DURATION
The programme duration is 3 days, starting from February 23 - 25, 2026. The participants are expected to arrive a day before commencement and may leave after the conclusion of the programme.
PROGRAMME FEE
Residential Fee: Rs. 43,700/- (US $ 683 for foreigners) plus GST as applicable (presently 18%) per participant. The fee covers tuition, board and lodging, courseware (in electronic form) and other facilities of the College including internet usage.
Non-Residential Fee: Rs. 37,700/- plus GST as applicable (presently 18%) per participant. The fee covers tuition, courseware (in electronic form), working lunch, and other facilities of the College, including internet usage.
A discount of 10% on the Programme fee for three or more participants from the same organisation will be given, provided the payment is credited into our Bank account before February 20, 2026.
Note: Kindly forward us the details of the Bank/ Wire transfer of the programme fee through email to: [email protected] for confirmation.
MEDICAL INSURANCE
The nominees are requested to carry with them the proof of Medical Insurance. The sponsoring agency is required to endorse the nominees' medical coverage in the event of hospitalization.
LAST DATE FOR NOMINATION
Please use the prescribed/attached form. The last date for receiving nominations February 16, 2026. Kindly contact the Programmes Officer for further details (contact details are given at the end of the nomination form).
LAST DATE FOR WITHDRAWAL
February 19, 2026. Any withdrawals after this date will entail forfeiture of the fee paid, if any.
ASCI ALUMNI ASSOCIATION
Participants of the College programmes will automatically become members of the ASCI Alumni Association.
CERTIFICATE OF PARTICIPATION
The College issues a Certificate of Participation on the conclusion of the programme.
