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Explode Leadership & Strategy - Develop your capabilities for the Future using Military Methods™. Explode Leadership & Strategy, is a company for Leadership Coaching and Organisation Development, for Mid to Top Level Personnel in any organisation and individual professionals. Our proprietary Military Methods™ of training and Future of Work focussed trainings are unique in Asia and Africa. This approach allows rapidly adapting organisations to change. This happens through Systems Thinking based behavioural conditioning and developing collective ability to understand difference between complicated and complexity situation. Our consultative process helps CEOs to bring about emergence from chaos to get profitability.

    Transform Talent to   High Performance  

+91-9969142036

Learning Outcomes

•Understanding of machine learning tools, algorithms, and industrial applications
•Gain hands-on experience in applying advanced ML techniques through case studies and practice exercises
•Understand the working of neural networks and gain the ability to design and implement them using various tools and techniques
•Able to design and implement various AI & ML techniques in a range of real-world applications

DELIVERY MODE

Sessions will be conducted via a state-of-the-art Interactive Learning (IL) platform and delivered in Direct-to-Device (D2D) mode that can be accessed by learners on their Desktop, Laptop, Tablet, or Smartphone

Every Saturday & Sunday:
10:00 a.m. to 12:00 p.m

Campus Immersion: NA

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AI & Machine Learning for Industry

IIT Delhi

COURSE DURATION

6 Months

LAST DATE TO APPLY

20 February 2023

COURSE START DATE

18 March 2023

COURSE FEES

₹ 1,25,000/-

See actual class days below

AI & Machine Learning for Industry

Programme Overview

This programme aims to equip participants to intelligently apply the techniques of Machine Learning to complex problems in varied domains ranging from medical diagnostics to sports analytics

WHO IS THIS SUITABLE FOR

Junior

• Any science, engineering, or commerce graduate.
• At least 1 year of experience is preferred .

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