IoT and AI

Embark on a transformative learning journey and elevate your skill set through our concise and impactful courses. These courses are meticulously crafted to provide students with a robust understanding of industry-relevant topics, ensuring a comprehensive grasp of the subject matter within a short timeframe. Our expertly designed curriculum and hands-on approach guarantee a dynamic and immersive learning experience.

Program Duration

1 Month

Learning Format

Online

Admission closes on

2 June 2024

Program Overview

The IoT, Machine Learning, and Artificial Intelligence Courses are designed to empower participants with a multidimensional skill set at the intersection of cutting-edge technologies. These programs provides a comprehensive exploration of the Internet of Things (IoT), delving into the connectivity of devices and the vast data generated. Participants will then navigate the world of Machine Learning, understanding algorithms, predictive analytics, and data-driven decision-making.

The courses explores the transformative realm of Artificial Intelligence (AI), covering neural networks, natural language processing, and the ethical considerations surrounding AI applications. These courses equips individuals to harness the synergies between IoT, Machine Learning, and AI, preparing them to drive innovation and solve complex challenges in a connected and intelligent future.

Courses

Who is this programme for?

Mechanical & Automotive Engineering students

Working Professionals
& Faculties

ITI and
Diploma Students

Every auto enthusiast can enroll for the program.

Our Faculty

Santosh Das

Dr. Santos Kumar Das is a R&D professional with more than 21 years of valuable experience on various Software developments and research activities both in industries and academics.

Program Outcomes

Sample Certificate

Program Advisor

Professor Amey Karkare

Department of Computer Science and Engineering, IIT Kanpur

Professor Amey Karkare is the Poonam and Prabhu Goel Chair Professor, Department of Computer Science and Engineering at IIT Kanpur. His areas of focus are applications of Program Analysis, Compiler Optimizations, Software Engineering, and Machine Learning to build software systems.

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