Artificial Intelligence For Administrators
This is a credit aligned course as per the NCrF credit framework and the universities can provide credit for the course
About Artificial Intelligence:
Artificial Intelligence (AI) is fundamentally reshaping the landscape of governance, public administration, and policymaking. From automating citizen services to enabling data-driven decision making, AI offers transformative potential for governments and institutions worldwide. Understanding AI is no longer optional for those who manage and administer public systems — it is essential. This course equips administrators with the conceptual grounding and practical awareness needed to govern AI responsibly and leverage it effectively in the public interest.
Objective:
Develop foundational understanding of Artificial Intelligence, Machine Learning, and Generative AI to enable informed administrative decision-making, regulatory thinking, and responsible AI governance across government departments and public institutions.
What You’ll Learn:
Understand the key concepts of AI, ML, and Generative AI and how they impact public systems.
Identify risks, ethical considerations, and governance frameworks relevant to AI deployment in the public sector.
Explore how Generative AI tools can improve productivity, citizen engagement, and administrative communication.
Certificate Provider : SWAYAM Plus and IITM Pravartak Technologies Foundation
Duration of the course : 35 Hours
Course Start date : Mid-May 2026
Mode of study : Fully virtual
Course Fees : 100 INR + GST
Certification :The exam at the end of the course will be an online proctored exam. The certification fee is 1900 INR + GST
Course Structure:
Module 1 – Foundations of AI
- Session 1 – Introduction to AI
- Session 2 – AI creating a Paradigm Shift
- Session 3 – The World of Prediction Machines
- Session 4 – Machine Learning Approaches
Module 2 – Advanced AI Domains
- Session 5 – Deep Learning & Artificial Neural Networks
- Session 6 – Exploring Computer Vision – Visual Intelligence
- Session 7 – Understanding NLP and its Applications
- Session 8 – Decoding Speech Area of AI and its Applications
Module 3 – Generative AI & Productivity
- Session 9 – Generative AI Overview
- Session 10 – Prompt Engineering Playbook
- Session 11 – Improving Productivity with Prompts
Module 4 – AI Applications & Governance
- Session 12 – Vibe Coding, Visual and No Code AI
- Session 13 – Building AI Apps with Gen AI APIs
- Session 14 – AI Policy and Governance
Dr. V. Sankaran
IIT Madras Pravartak Technologies
Dr. V. Sankaran received his Ph.D. Degree from Anna University in 1986 in the areas of Computer Networks. He worked as Professor from 1986 to 1995 in the Department of Computer Science and Engineering in a few colleges like Sri Venkateswara, SRM and Sathyabama, Chennai. Also, he worked as Dean at VIT for an year in the year 2014. He is a guest faculty for IIIT Design and Development, Chennai.
He moved to IT industry in 1995 and worked as Project Manager, Delivery Manager, Program Manager and Director in companies like L-Cube Innovative Solutions, HCL Technologies, Packet Island and BroadSoft.
His IT industry experience is over 30+ years and his strength are in the areas of Computer Networks, Security, UI Technology, Linux Kernel Programming, Device Drivers and Data Engineering.
Highlights of Supporting Manual of Electronic Trainer Kit:
Manual is framed as self-practice by students with necessary wiring diagrams.
Manual starts with a Quick Overview of the Trainer System, describing the various functional blocks, and their locations.
Sufficient background Theory is given for better understanding.
Measurement tables are given with theoretical values to verify practical results.
Plots are given for quick analysis as well as the conclusion.
Wherever required, experiments are provided with numerical problems to understand the theory well.
Specifications, Characteristics, and functions of each component are discussed in detail.
Self-Assessment questions are given to gain confidence.
Appendix is given to recollect basics and apply in relevant experiments.
The range of topics covered, start from electricity basics, electrical circuits, test and measuring instruments, electronic components, semiconductor devices, transistor circuits, Analog Circuits, digital electronics, Solar photovoltaic as a renewable energy source, Input-Output devices, sensors and actuators till the embedded controller using Arduino UNO. Last two topics are devoted to the application-based exercises as relevant for use in our day-to-day life.
List of Dos and Don’ts and Safety Practice are given.
Needs only minimum guidance and provides great confidence.
Manual is prepared with the motive of imparting the required Knowledge and Skill competencies so as to nurture the students to build and develop their own electronic circuitry and systems in the future.
Course covers :
Electronics and Embedded controller experiments with Universal Trainer kit.
Advanced Embedded and Remote controlled IoT projects.
Proto type project design with schematic and PCB Design.
Electronics and Embedded Controller Experiments with Universal Trainer Kit:
Vehicle Speed Monitor :
Real Time stamped Data acquisition system with OLED :
Soil Moisture sensed Automatic Water planting with Remote monitoring :
Mobile App Control and Monitoring System :
RFID Detected Office Attendance Entry with Auto Room Power OFF @ Zero entry :
Assembling and testing of Automatic Car Parking with Anti-collision Alarm and day/night Headlight control :
Registration:
Link will be posted soon