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Home > Data Science > PG Certificate Program in Artificial Intelligence & Deep Learning

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Overview
  • manipal overview icon
    Access to Community
    Peer to peer learning through online/live meetups and webinars/techtalks on emerging technologies and their evolution.
  • manipal overview icon
    Hands on tool
    Apply Tensorflow, Scikit Learn library, Keras and other machine learning and deep learning tools.
  • manipal overview icon
    Who Should Attend
    IT professionals and consultants, Graduates with an IT background
  • manipal overview icon
    Salary Packages
    The average pay for an AI professional with 2-4 years of experience is ₹15-20 lakhs per year
  • manipal overview icon
    Online Live Sessions
    Learn from experts with a vast experience in delivering artificial intelligence course.
manipal overview icon
Access to Community
Peer to peer learning through online/live meetups and webinars/techtalks on emerging technologies and their evolution.
manipal overview icon
Hands on tool
Apply Tensorflow, Scikit Learn library, Keras and other machine learning and deep learning tools.
manipal overview icon
Who Should Attend
IT professionals and consultants, Graduates with an IT background
manipal overview icon
Salary Packages
The average pay for an AI professional with 2-4 years of experience is ₹15-20 lakhs per year
manipal overview icon
Online Live Sessions
Learn from experts with a vast experience in delivering artificial intelligence course.
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Course Faculty
Faculty, Manipal ProLearn
Experience: 8+ Years

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Qualification
B.Tech (Electronics)
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Analytics Consultant & Trainer
Experience: 2+ Years

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Qualification
MS (Software Engineering), M.Sc. (Data Science)
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Faculty, Manipal ProLearn
Experience: 35+ Years

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Qualification
BE (Electrical Engg.)
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Faculty, Manipal ProLearn
Experience: 13+ Years

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Qualification
BE (CSE)
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Faculty, Manipal ProLearn
Experience: 25+ Years

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Qualification
B.Tech, IIT Kharagpur
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Faculty, Manipal ProLearn
Experience: 9+ Years

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Qualification
MS (Software Systems)
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Faculty, Manipal ProLearn
Experience: 15+ Years

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Qualification
B.Tech (Mechanical Engineering), PGDM (Operations & Marketing)
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Faculty, Manipal ProLearn
Experience: 12+ Years

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Qualification
B.Sc. (Statistics), M.Sc. (CSE), PhD (Non-life Insurance Data Analysis, Modeling and Forecasting), Certified SAP Development Consultant
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Faculty, Manipal ProLearn
Experience: 17+ Years

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Qualification
M.Sc (Statistics), PhD (Statistics)
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Industry Expert, Member of Board of Studies
Experience: 10+ Years

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Qualification
MBA, Business Management
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Faculty, Manipal ProLearn
Experience: 25+ Years

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Qualification
B.Tech (E&C), MBA (Production Management)
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Director, Manipal ProLearn
Experience: 20+ Years

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Qualification
B.E. (CSE), M.Tech (CSE), PhD (CSE)
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Course Curriculum
1.1 Introduction to AI
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Sneak Peek into the future
Applications of AI
Enterprise use - Automotive, Manufacturing, Healthcare, Retail
Consumer use -Games, Home Automation
Introduction to Machine learning and Deep Learning

1.2 Machine Learning
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Types of Machine learning
Popular ML algorithms - Linear Regression, SVM, Decision Trees etc.
Training and Deploying models.
ML With SKLearn using Python

1.3 Programming with TensorFlow
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Introduction to Tensorflow
Programming structure in Tensorflow
Regression and classification with Tensorflow

2.1 Introduction to Neural Networks
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Perceptron and Deep Neural Networks
Training Neural networks with Tensorflow
Types of NN- CNN, RNN, Feedforward, GAN.
Common Tensorflow API's - KERAS, Estimator, Layers
Introduction to Reinforcement Learning

2.2 Image recognition
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Introduction to Image processing and Computer vision.
Convolutional Neural Networks (CNN)
Object Detection in Images
Object Detection in Video

3.1 Speech Recognition
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Text Analytics
Natural Language Processing
Recurrent Neural Networks- RNN
Time Series Analysis with RNN
Variations of RNN- LSTM and GRU
Building and Training an RNN for Speech Recognition

3.2 Project
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Chatbot
Healthcare - Diagnostics with X Ray Data & Others across different domains

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