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PG Certificate Program in Artificial Intelligence & Deep Learning
Build a career in the exciting field of AI with our Deep Learning and Artificial Intelligence certificate online.
300+
Hours
20
Learners
24x7
Online LMS
Online Live
Sessions
300+
Hours
Hours
20
Learners
Learners
24x7
Online LMS
Online LMS
Online Live
Sessions
Sessions
- Knowledge
Partner
₹ 147,500
Ask us everything about the program
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Overview
-
Access to CommunityPeer to peer learning through online/live meetups and webinars/techtalks on emerging technologies and their evolution. -
Hands on toolApply Tensorflow, Scikit Learn library, Keras and other machine learning and deep learning tools. -
Who Should AttendIT professionals and consultants, Graduates with an IT background -
Salary PackagesThe average pay for an AI professional with 2-4 years of experience is ₹15-20 lakhs per year -
Online Live SessionsLearn from experts with a vast experience in delivering artificial intelligence course.
Access to Community
Peer to peer learning through online/live meetups and webinars/techtalks on emerging technologies and their evolution.
Hands on tool
Apply Tensorflow, Scikit Learn library, Keras and other machine learning and deep learning tools.
Who Should Attend
IT professionals and consultants, Graduates with an IT background
Salary Packages
The average pay for an AI professional with 2-4 years of experience is ₹15-20 lakhs per year
Online Live Sessions
Learn from experts with a vast experience in delivering artificial intelligence course.
About Course
Do you want to learn essential Artificial Intelligence concepts like search, optimization, planning, and pattern recognition from top AI experts? AI and Deep learning have shown promising growth in recent years and in the near future can change the way companies operate.
Manipal ProLearn’s PG Certificate Program in Artificial Intelligence and Deep Learning is designed to help you learn the Artificial Intelligence basics along with hands-on training. The AI online course will enable you to master Deep Learning tools like Tensorflow, Scikit Learn Library and Keras.
What skills you learn
After completing the Deep Learning and Artificial Intelligence online course, you’ll be able to:
- Use Tensorflow, Scikit Learn library, Keras and other machine learning and deep learning tools.
- Work on algorithms in real world problems using Image and Speech Recognition
- Develop Chatbots and work on complex data forms.
- Start career as an AI Developer, AI Engineer or a Data Scientist
Who Should Attend this course
IT Professionals
IT Consultants
IT Graduates & Freshers
Any Graduate with Programming Knowledge
IT Professionals | IT Consultants |
IT Graduates & Freshers | Any Graduate with Programming Knowledge |
Key Features
Get certifed by MAHE
Get certificied by Manipal Academy of Higher Education, an Institute of Eminence.
Capstone Project
Facilitate your AI language learning by working on hands-on assignments and projects.
GPU-based Learning Environment
The program equips learners on handling a GPU environment that is used in real-world situations.
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Course Curriculum
1.1 Introduction to AI
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
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
Introduction to Tensorflow
Programming structure in Tensorflow
Regression and classification with Tensorflow
2.1 Introduction to Neural Networks
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
Introduction to Image processing and Computer vision.
Convolutional Neural Networks (CNN)
Object Detection in Images
Object Detection in Video
3.1 Speech Recognition
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
Chatbot
Healthcare - Diagnostics with X Ray Data & Others across different domains
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