Accelerated Course in Deep Learning and Artificial Intelligence – 6 days         

Looking for jobs in Data Science? Get ready for a highly rewarding career in Artificial Intelligence in just 6 days.

Our training, in partnership with INSOFE, is listed # 2 globally in the most recent study by CIO – a very authoritative global IT magazine. It also finds a mention on KDNuggets – a leading platform for Big Data and Machine Learning.

Several media sources (e.g. ABC, Forbes, ZDNet) point out that firms and individuals in Australia need to embrace Artificial Intelligence.

Don’t be left behind!

Watch video testimonials of recent course participants in the USA:

Video testimonial #1 – Matthew Visnaw

Video testimonial #2 – Dean Allemang

Next course: 
Perth             1-3 and 9-11 March 2018 (6 days)          
Deep Learning and AI Perth March 2018

                       16-18 and 23-25 April 2018 (6 days)       Deep Learning and AI Perth April 2018


Sydney          5-7 and 13-15 March 2018 (6 days)        Deep Learning and AI Sydney March 2018

                       9-11 and 16-18 April 2018 (6 days)          Deep Learning and AI Sydney April 2018


Melbourne 12-14 and 19-21 April 2018 (6 days)        Deep Learning and AI Melbourne April 2018

The Accelerated Course in Deep Learning and Artificial Intelligence is an intensive 2-weeks (6 days) course designed to help fresh graduates and experienced professionals, jump start their career in the fast growing field of AI and Deep Learning.

A consortium of ACI and INSOFE – one of the world’s best Data Science education and research institute, brings this unique course designed to put you on track for the hottest job of the century in the fastest possible time.

  • Introduction to the AI/ML
  • Shallow Learning Fundamentals
  • Deep Learning – Multi-Layered Perceptron
  • Project Evaluation (week 1)
  • Convolution Neural Net (latest development in image and video)
  • Recurrent Neural Net (for Text)
  • Architecting an AI solution
  • Project Evaluation (final submission)



The course allows participants to jump start their career in 2 weeks through a thorough discussion on Deep Learning and AI core concepts. The course is ideal for

  • Technology Architects, Product Architects, Systems Architects, Product Managers, Brand Managers, Technology Managers, and other Managers reporting to CXOs and business leaders. This course is ideal for professionals looking for transforming their career into Data Science and Artificial Intelligence.
  • STEM Bachelors (Maths, Physics, Statistics, Chemistry, Economics, Computer Science, Engineering or equivalent).
  • No programming language required.


Dr Dakshinamurthy V Kolluru
PhD from Carnegie Mellon University, USA

Dr Murthy holds a PhD in Materials Science from Carnegie Mellon, started his career as a Rocket Scientist, and founded the #2 Data Science certificate program (INSOFE) in the world. In addition to being a globally-recognised Data Science academician, he has over 2 decades of experience in research, training and consulting with companies like Abercrombie, Dun & Bradstreet, Ford, Deloitte, HP, Philips, Honeywell, D.E. Shaw & Co., Broadridge Financials, Microsoft and Vistakon (a Johnson and Johnson company) to name a few.

 What course participants are saying

Tahia Infantes Morris
Staff Engineer – Johnson & Johnson Vision Care (Vistakon)
“I thought Dr Murthy’s course was interesting and informative, as well as, well organized…In terms of teaching, I appreciated learning about statistics-based analytical methods and when to apply them, as well as, receiving a refresher course on data mining and machine learning techniques… Thanks again.”

Chandra Shekhar
Associate – Karvy Analytics
“Having pursued this excellent course that gave me the knowledge, confidence and overcoming my fears that always held me back has brought a new dimension into my life to achieve a successful career in this niche domain.”

Co-Founder, One of the World’s Largest e-Commerce Companies
“INSOFE’s program on deep learning was excellent and insightful. It was very useful for me and my team. I liked the faculty’s passion & knowledge. I highly recommend it.”


Enquire about the course now!