Postgraduate Certificate Program in Artificial Intelligence & Deep Learning
with Manipal Academy of Higher Education

The PG Certificate Program in Artificial Intelligence and Deep Learning is the only program on AI, ML & DL which gives you hands-on practice through 100+ hours of Cloud & GPU Labs on real world Case studies and application of algorithms. This program is for candidates aspiring to enhance their skill sets in Artificial Intelligence, Machine Learning and Deep Learning and be at the top of competition.

Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. Some of the activities, computers with artificial intelligence are designed for include: Speech recognition, Image Recognition and pattern recognition. More than 50% of businesses are planning to implement AI & DL for different purposes to improve their business efficiencies. No doubt why AI, ML & DL is the most sought skill set globally since the last few years as per LinkedIn Skill Report.

PG Certificate Program in Artificial Intelligence & Deep Learning is an online/blended program by Jigsaw Academy in association with Manipal Academy of Higher Education (MAHE).

• Develop AI Applications like Chatbot and Speech/Image Recognition Deep learning models for different industries.
• Become an AI practitioner by gaining the ability to perform tasks on various industry applications of AI.
• Apply Tensorflow, Scikit Learn library, Keras and other machine learning and deep learning tools & algorithms.
• Develop an ability to work on algorithms in real world problems using Image and Speech Recognition
• NLP, Deep Learning, & Graphical Models along with a solid foundation in Predictive Analytics on real world problems.

PG Certificate Program in Artificial Intelligence & Deep Learning not only focuses on concept building exercises and assignments but also include hands-on practice and application of concepts and tools on case Studies. These case studies are real world scenarios which have been or are being used in organisations today. This program takes you through more than 10+ real world scenarios where AI is used across different domains and industries.

The curriculum of Post Graduate Certificate Program in Artificial Intelligence & Deep Learning has been developed by AI Experts from Industry, considering AI skill requirements from 45+ Industry Experts.

It comes with rich online training pedagogy, consisting of MOOC style e-learnings, reading materials, quizzes, demo codes, interactive videos, practice assessments, hands-on labs, Tech talks by industry experts and instructor led webinars

• Highly relevant content that is certified by Manipal Academy of Higher Education- AN ‘INSTITUTE OF EMINENCE’.
• 100+ Hours of Cloud & GPU Labs for Hands-on Practice, highest in the industry. Real world applications of AI & DL involve use of Graphical Processing Unit (GPU) environments to expedite the Neural Network training process.
• 10+ Case Studies on Real world scenario for problem solving and assignments.
• 5+ Demo Code on Real Life Case Scenario across industries like Banking & Insurance, Healthcare, Automobile, Sports, Travel & Retail.
• 70+ Hours of Online Live Lectures by Industry Experts on weekends
• Only program, introducing “What’s new in Tensorflow 2.0?” – features of the recently released Tensorflow 2.0 will be discussed and demonstrated.
• Only program to give an AI Experience through VR Videos & Gadget.
• Free Python Program as bridge course, as it helps you clean data sets and work on them more effectively.

Manipal Academy of Higher Education (MAHE) is synonymous with excellence in higher education and is among the Top 3 private institutions in India. MAHE was conferred as an Institute of Eminence by University Grants Commission (UGC) in July 2018. A member of member of the Association of Commonwealth Universities, MAHE has nearly 2500 faculty and almost 10000 other support and service staff, who cater to the various professional institutions in health sciences, engineering, management, communication and humanities.