Machine Learning Using Python

This is a credit aligned course as per the NCrF credit framework and the universities can provide credit for the course

NCrF credit level – 5.5

About Artificial Intelligence:

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.

About the Course – AI/ML using Python:

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.

Who Should Join:

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!

Learning Outcomes:

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)

Skills you will learn:

Python

Data Visualization

Building Machine Learning Models

Jobs that you will qualify: Data Analyst, Data Scientist.

Instructor Details:

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)

Course Syllabus:

• 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

Limitations of Generally Available Electronic Trainer Kits:

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:

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.

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 :

single-08

Real Time stamped Data acquisition system with OLED :

single-08

Soil Moisture sensed Automatic Water planting with Remote monitoring :

single-08

Mobile App Control and Monitoring System :

single-08

RFID Detected Office Attendance Entry with Auto Room Power OFF @ Zero entry :

single-08

Assembling and testing of Automatic Car Parking with Anti-collision Alarm and day/night Headlight control :

single-08
Registration:

Link will be posted soon


Assistance:

  Digital Skills Academy
  Mail Id: digitalskillsacademy@iitmpravartak.net
  Contact No: 9498341969