Accelerated Certificate Course in Deep Learning and Artificial Intelligence

A consortium of Case Western Reserve University, Soothsayer Analytics & INSOFE brings this unique program designed to fast track your journey to grab the hottest job of the century.

About Program

The Accelerated Programme in Deep Learning and Artificial Intelligence is an intensive 1-week program designed to help fresh graduates and experienced professionals, jump start their career in the fastest growing AI & Deep Learning areas.
A consortium of Soothsayer Analytics, a US-based Data Science & Artificial Intelligence firm and INSOFE, India’s best Data Science education & research institute, brings you this unique program that’s been designed to put you on track for the hottest job of the century in the fastest possible time.

About Case Western Reserve University:

Case Western Reserve University is a world premier research university and an innovation hub in Northeast Ohio. Recently, the university has been selected to receive the prestigious Andrew Heiskell Award for Innovation in International Education. Case Western Reserve’s intellectual resources hub includes: world-class faculty at a cutting-edge global research university, science, engineering and technology, entrepreneurship and innovation, premier medical research in partnership with University Hospitals Health System and the Cleveland Clinic, medical and biomedical engineering, international and IP law, integrated health care education, liberal arts and humanities and other academic disciplines.

About Soothsayer Analytics

Soothsayer Analytics is a US based Data Science & AI firm that engages with companies to solve challenging Data Science problems and actively works with state-of-the-art techniques. Soothsayer Analytics helps clients predict the future, optimize their business, and identify micro-patterns and hidden connections that traditional methods cannot.


INSOFE is India’s best Data Science education & research institute. Its flagship Post Graduate Program in Data Science/Big Data Analytics is certified for the quality of content, assessment and pedagogy by Language Technologies Institute (LTI) of Carnegie Mellon University, USA.
INSOFE’s certification features along with Stanford & Columbia Universities in compilation of ‘14 Big Data Certifications That Will Pay Off’. Also, a winner of the Academic Excellence award in Big Data & Analytics, INSOFE boasts a record of over 2000 graduates & working professionals that have gone through its Data Science programs till date.


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

Download Curriculum

Who should attend

The program allows participants to jump start their career in 1 week through a thorough grinding in Deep Learning and AI core concepts. Accelerated Certificate Course in Deep Learning and Artificial Intelligence is ideal for the following:

EligibilitySTEM Bachelor’s or higher with knowledge in Python or any other programming language.
Recent graduates with major in the STEM (Maths, Physics, Statistics, Chemistry, Economics, Industrial or Computer Science Engineering or equivalent) with a basic knowledge of any programming languages like Python, Java, R, C#, etc.
Tech-Professionals: The program is also suitable for professionals who have hands-on technical experience in any programming languages, like Python, R, Java, C#, etc. This course is ideal for professionals looking for transforming their career into Data Science and Artificial Intelligence.


The program develops a high level of understanding quickly. This program consists of 5 in-person classes (40 hours, Monday through Friday), covering basics to in-depth understanding on Artificial Neural Networks, Shallow Learning, Back Propogation and Feed Forward Techniques to analyze images, text and structured data.
During hands-on sessions, participants will develop a functioning AI application as a final project. This will give them experience solving real AI and Deep Learning problems.


We will provide bleeding-edge infrastructure to work on:

  • 3 Deep learning servers each has 512 GB of RAM, 4 TB of storage and 40 vCPU’s
  • Each server has 4 * GEFORCE GTX 1080 Ti cards
  • Each graphics card is packed with extreme gaming horsepower, next-gen 11 Gbps GDDR5X memory, and a massive 11 GB frame buffer
  • Users will connect through VPN tunnel to our network/ server to work on projects

Mentor and Professor

Dr. Dakshinamurthy V Kolluru,PhD from Carnegie Mellon University, USA

Dr. Kolluru holds a Ph.D. 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 recognized Data Science academician, he has over 2 decades of experience in research, training and consulting for companies like Abercrombie, Dun & Bradstreet, Ford, Deloitte, HP, Philips, Honeywell, D E Shaw & Co., Broadridge Financials, Microsoft, Vistakon (a Johnson and Johnson company) & many more.
Our world-renowned faculty has built hundreds of A.I. & Deep Learning solutions and Data Science Centers for several of the world’s largest companies and leading startups. Such experience has greatly influenced this seminar and enabled us to condense years of learning into a manageable time commitment that will not distract from your ongoing initiatives.

Dr. Kishore Konda
Ph.D., Goethe University
Dr. Konda holds a Ph.D. in Machine Learning from The Goethe University in Frankfurt, Germany, where he worked extensively in both developing Deep Learning models and their implementation – primarily in the areas of unstructured data analytics (text & vision). His Ph.D. was part of the notable Bernstein Project (Neuroscience) with Germany’s Ministry of Education. Apart from a variety of R&D endeavors, Dr. Konda has been key on many consulting projects in the fields of financial services, big auto, manufacturing, e-commerce, etc. His research areas of interest include Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, and Algorithm Development.
For research publications, please visit this link.

Program Benefit

Engineers having knowledge in Deep Learning and Artificial Intelligence are in great demand in every sector. Your resume will be sought by small, mid-size and large organizations alike offering much higher salaries than traditional jobs.

Career Support

Soothsayer Analytics will actively support participants with career support. Soothsayer Analytics has an onshore facilities in Detroit, MI and Columbus, OH. Soothsayer actively hire interns, Data Scientists, ML Engineers, etc. Soothsayer Analytics works with over 20 clients that includes Ford, Visteon, Dun & Bradstreet, Worthington Industries, Abercrombie, Express, Stanley Steemer, Steelcase, Wendy’s, Elior, GEA, and other Fortune 1000 companies and innovative start-ups.

Program Logistics


Our regular cost is: $3,995

Discounts available for CWRU alumni. Early bird discount, Corporate & multiple registrations discounts available.

For more information, contact us:
Ian McGuire | | (517) 215-4560

Victoria Suda | | (248) 212-2055

Joseph Venditti | | (313) 806-3423

Program Schedule

Case Western Reserve University – Siegal Lifelong Learning Program: March 11, 2019 to March 15, 2019

Case Western Reserve University – Siegal Lifelong Learning Program: June 10, 2019 to June 14, 2019


Address: Case Western Reserve University: 25700 Science Park Dr., Suite 100, Beachwood, OH 44122


  • “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.”

    Co-Founder, One of the World’s Largest e-Commerce Companies

  • “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.”

    Tahia Infantes Morris

  • We initially engaged with Soothsayer Analytics on a week-long training session focused on a wide array of Data Science topics. The training was amazing and extremely well received across the board. This speaks to Soothsayer’s ability to tackle complex topics and break them down in a way that people at every level can understand and appreciate. Many participants reported that it was the best training that they had ever attended. Multiple use cases, tactical improvements, and the ability to leverage state-of-the-art Analytic techniques have come out of the training. From day one, Soothsayer’s intellectual ability was obvious, but we have been most impressed with their uncanny ability to provide context to problems. Our client engagement has been a very positive experience in which Soothsayer has met and/or exceeded our expectations. We have subsequently started working with them on a few Data Science projects, and this has also been a positive experience. I would recommend them to any company looking for a strong intellectual Data Science partner.

    Head of Analytics from Leading Retail store

  • Chris is a great convener. He has the rare capacity to bring together people from disparate backgrounds and to help them find the common ground that allows magic to happen. I have benefitted greatly from his ability to stay on a difficult problem and to drive teams of experts to the problem and opportunity formulation that allows for great collaboration. He and his team are patient, extremely responsive, and impressively eclectic in their skills and their thirst for data science. It is my great good fortune to work with Chris and the fine folks at Soothsayer Analytics.

    Chief Data Scientist @ Dun & Bradstreet

Matthew Visnaw

Zhenchun Xia

Dean Allemang

Shravan Adapa

Michael N Thompson

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Suva Sharma

Hongcheng Li