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

Ask us everything about the program

PG Certificate Program in Artificial Intelligence & Deep Learning

_
Overview
  • manipal overview icon
    Career Leap Assurance
    Manipal ProLearn Career Leap Assurance - 3 networking sessions with companies, 1 capstone project & lifetime alumni privileges.
  • 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
    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
Career Leap Assurance
Manipal ProLearn Career Leap Assurance - 3 networking sessions with companies, 1 capstone project & lifetime alumni privileges.
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
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.
_
Course Curriculum
1.1 Introduction to AI
manipal icon

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
manipal icon

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
manipal icon

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

2.1 Introduction to Neural Networks
manipal icon

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
manipal icon

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

3.1 Speech Recognition
manipal icon

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
manipal icon

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

_
Read up our trending blogs
Back To Topmanipal icon

Similar topics you may be interested in