This is a credit aligned course as per the NCrF credit framework and the universities can provide credit for the course
Artificial Intelligence (AI) is revolutionizing the way we work, analyze data, and make decisions across industries. In the financial world, AI enables smarter workflows, automates tedious processes, reduces human error, and unlocks deeper insights from financial data. From simplifying bookkeeping to enhancing audits, AI is reshaping accounting practices for the future.
The course introduces the participants to the field of AI/ML with background and key concepts. It also introduces Python as a programming language for data science. The course introduces data visualization techniques and comprehensive overview of linear algebra, statistics and optimization concepts.
Freshers and aspiring students looking to stand out with AI-powered skills
No prior experience in AI or coding is required—just curiosity, an analytical mindset, and the drive to innovate!
Describe a flow process for data science problems (Remembering)
Classify data science problems into standard typology (Comprehension)
Develop Python codes for data science solutions (Application)
Correlate results to the solution approach followed (Analysis)
Assess the solution approach (Evaluation)
Python
Data Visualization
Building Machine Learning Models
Jobs that you will qualify: Data Analyst, Data Scientist.
Prof. Shankar Narasimhan - IITM Professor in the department of Chemical Engineering
Prof. Raghunathan Rengaswamy - Institute Chair Professor at IITM
Mr. Suresh Ramadurai - Visiting faculty at IIM Trichy and IIM Vishakapatnam
Certificate Provider : SWAYAM Plus and IITM Pravartak Technologies Foundation
Duration of the course : 45 Hours
Course Start date : 15th May
Mode of study : Fully virtual
Course Fees : The course content can be accessed free of charge.
For certification + mentorship, the fees will be 2000 INR. (If the student wishes to get certified with mentorship support, students need to pay this amount)
• Introduction to Spyder
• Sequence data types and associated operations, NumPy
• Basics of Statistics
• Pandas dataframe and dataframe related operations
• Inferential Statistics
• Linear Algebra
• Optimization
• Predictive Modelling
• Machine Learning
Large in Size and Weight.
Needs external source and measuring instruments.
Covers only specific areas of Electronics.
Can perform only a limited number of Experiments.
Experiments can be performed only in the laboratory.
Needs a large experimental area for supporting instruments.
High in cost.
Features include hands-on training with professional modules, PowerPoint classes for clear theoretical understanding, and technology-enabled teaching tools for improved learning outcomes.
Immersive experiences will be provided, along with complete access to necessary codes, libraries, and documentation, ensuring comprehensive support throughout the course.
Provide a deep skill set to design, code, and build IoT projects and products.
Understand how to work with sensors for measuring temperature, humidity, fire/gas levels, water quality, visible and infrared light, sound and ultrasound, human motion detection, obstacle detection, and heart pulse rate.
Learn to work with I/O Devices and Actuators, including LEDs/LCDs/OLEDs, relays, switches, matrix keypads, touch keys, servo & stepper motors, and RFID reader.
Gain an understanding of sensing and measurement techniques.
Learn to implement control and automation to design programmable logic controllers (PLCs).
Understand how to use WiFi shields, connect to cloud IoT platforms, persist data, and trigger email alerts.
Learn to use a mobile app service to control IoT devices over the internet.
Build confidence in incorporating sensors, input/output devices, actuators, and embedded controllers into research projects to implement measurement and control with feedback mechanisms.
Learn to implement multichannel data acquisition with storage in a cloud database.
Practical learning enhances confidence and conceptual understanding. Portable in size (A4 Size) and less weight (2.5 kg) and one can easily carry as a briefcase.
Visualization of projects stimulates interest to implement IoT in various fields.
Building the prototype project starts with block-level design and component-level testing, followed by integration into schematic drawings and final incorporation into PCB design with a microcontroller IC. This will boost the interest in launching a startup focused on product design.
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.
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.
Link will be posted soon
  Digital Skills Academy
  Mail Id: digitalskillsacademy@iitmpravartak.net
  Contact No: 9498341969