Data Science and A.I Application in E-Mobility

Description

The future of energy storage lies in data. According to Aryan (Akhil Aryan, Co-Founder and CEO, ION Energy), Electric vehicle and energy storage space providers are increasingly understanding the importance of battery data to optimise their fleet, deploy faster, improve up time and to improve the life of the batteries, making a tremendous impact on the business. “We believe that technology alone cannot solve problems, it needs to be developed keeping in mind the domain and the business. By applying battery domain knowledge to technologies like data analytics, simulations, and machine learning, we can accelerate the transition of businesses to an all-electric future,” he asserts.

Data science, AI and IoT are revolutionising the EV space and are paving the way for an all-electric future in the next 5-10 years. “These technologies are making sense of battery data to derive valuable insights, that can determine and considerably improve the battery life. That would reduce the overall ownership cost and the planet’s dependence on fossil fuels,” states Aryan.

Mr. Aditya Kaki

Technical lead at ZF India Technical Center

Machine Learning and Deep Learning certification from IIIT Hyderabad, M.tech in Software and Systems in Bits Pilani

Provided training on MATLAB Simulink, MATLAB Stateflow, M scripting, Vector Cast tools, Automotive protocols, Python, Data science, Machine learning, Deep learning and Embedded etc, on corporate level. Delivered workshop in Machine learning, Deep learning and Data sciences in prestigious colleges NIIT Manglore, IIT Hyderabad, IIT Madras, IIT Bombay.  

As a freelancer, provided several Embedded software solutions for robotics, products etc,. and also provided solution for the  problem statements in the field of Machine learning and Computer vision based application and products.

Note: Kindly do not download certificate before update of duration in lesson. It is 00:00 now. It will be updated after completion of webinar. 

Program outcomes
  • Determining the terms Artificial Intelligence, Machine Learning, Deep Learning and Data Science

  • Difference between Traditional and Machine learning

  • Classification in Machine learning > Supervised, Unsupervised, Reinforcement and Semi supervised > Regression and Classification > Clustering and Association rules

  • Role of AI in E mobility, Discussing 2 R&D projects which are being worked on

  • Career options opportunists in Data Science and Artificial Intelligence

  • Different roles and responsibilities


Requirements
  • Mobile/Laptop/Tablet with good internet connectivity.
  • Interest in Learning Data Science, Machine Learning, Artificial Intelligence, E-Mobility etc.

Syllabus

  • 1 Lessons
  • 01:01:29 Hours
  • On Demand Webinar Video01:01:29

About instructor

Instructor
Name : ISIEINDIA E-LEARNING
Reviews : 188 Reviews
Student : 2640 Students
Courses : 75 Courses

Reviews

5
Based on 13 Reviews
1 Stars
2 Stars
3 Stars
4 Stars
5 Stars

VINOD Gupta - Sun, 31-May-2020

Ashutosh shukla - Sun, 31-May-2020

Sandhya D - Mon, 01-Jun-2020

Prathmesh Barapatre - Tue, 02-Jun-2020

quite an informative session in terms of E Mobility and the best one ever attended. Would really like to attain such more sessions on data science and AI in terms of autonomous vehicle

praveen kumar s - Tue, 02-Jun-2020

Need more real time application

AJITHKUMAR S - Tue, 02-Jun-2020

Good explanation webinar

PRAVEENKUMAR S - Tue, 02-Jun-2020

Saurav Singh - Wed, 03-Jun-2020

AKASH MANDAL - Thu, 04-Jun-2020

VELMURUGAN R - Sat, 13-Jun-2020

Fine

MATHIYAZHAGAN Subramaniyan - Wed, 24-Jun-2020

Anjali Gupta - Sat, 27-Jun-2020

This is very well explanations

Kota Pavan Kotesh - Sat, 05-Sep-2020

Latest courses

Get latest 10 course.