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Program Features

Program Highlights

The program allows participants to:

  • Transform into two roles, a data science and artificial intelligence researcher and product developer.
  • Gain deep technical training in the areas of core artificial intelligence methods, algorithm building, simple end to end application deployment and courses that incorporate computer vision, text mining and natural language processing.
  • Learn advanced programming, computation science , engineering and application architecture.
  • Understand and solve complex machine learning problems.
  • Deploy and Scale AI and ML applications.
  • Specialize in advanced machine learning areas like computer vision, NLP and Quantum Computing.

Specialisation

  • Deep Learning.
  • DevOps

Learning Outcomes

The learning outcomes for the students will be:

Deep Learning Specialization

  • Confidence and mastery in the entire AI algorithm development and basics of deployment cycle(understanding business problem to analytical and mathematical problem, data understanding, data preparation, modelling, evaluation and deployment).
  • Competency in algorithm development and visualization tools including R, Python and Tableau.
  • Hands on experience with industry algorithm building and working to apply business and data thinking to complex research problems.

DevOps Specialization

  • Confidence in the entire AI algorithm understanding and mastery in the deployment cycle.
  • Strong computational and application architecture knowledge to deploy and scale AI and ML applications.
  • Hands on experience with industry prototype building and working to apply business and data thinking to complex research problems.

On Campus BootCamp

  • The student gets to attend an On Campus BootCamp for a hands-on immersive learning experience.
  • BootCamp serves as an individual session post completion of a set of core AI and Elective courses and applying knowledge to solve real industry problems.
  • The student will build and scale two applications/prototypes from start to finish individually using tools like Python, Docker and Git-hub.

Mentor Guided Masters Dissertation

  • The last leg of the program includes a Masters Dissertation spread across 20 weeks. 
  • The dissertation encourages exhaustive study & requires the student to validate research paper results and draw reasonable recommendations from the research using data, under the guidance of an assigned mentor.
  • It allows the student to gain deep technical professional experience by applying the concepts, tools and techniques learnt during the program, in developing and implementing machine learning & artificial intelligence solutions.

Knowledge Partner: INSOFE

  • International School of Engineering (INSOFE) – one of Asia’s largest Data Science schools represents NGASCE as a knowledge partner to provide deep technical training in the field of artificial intelligence, data science & machine learning.
  • INSOFE is the world’s leading research-driven educational institution in Applied Engineering with world-renowned faculty members holding PhDs from elite international universities and having worked as CXO’s in large analytics firms.
  • It has routinely ranked amongst the top data science schools in the country and has academic affiliations with several high-ranking Indian and International Universities and several prominent institute-industry.
  • In addition to training over 1000 students a year through its classroom program, INSOFE works with over 100 corporations globally to train CXO’s, mid-level managers and engineers.

Deep Learning

Program Structure

The program has 8 academic terms including an industry-focused curriculum.

DevOps

Program Structure

The program has 8 academic terms including an industry-focused curriculum.

Tools & Skills

The 24-month program with 8 academic terms equips you with the most coveted skills like:

  • R
  • Tableau
  • Python
  • Hadoop
  • Apache Spark

Faculty

The faculty pool consists of over 50+ world class products builders, researchers and consultants scholars. These are practicing academicians & PhD holders from top Universities with 20+ years of average work experience, 75+ patents & 300+ research papers.

Career Options

Post completion of the course participants can advance their careers in roles as Applied Scientists, Data Scientists and Machine Learning Engineers with data driven companies like Amazon, LinkedIn, Google among many others.

Career Assistance

  • On Campus career assistance during product development bootcamp
  • Get job opportunities from 500+ recruitment partners from NGASCE & INSOFE.
  • Get access to the NGASCE Job Portal where you can apply to unlimited job positions.

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