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PG Certificate Program in Artificial Intelligence & Deep Learning
Career Leap AssuranceManipal ProLearn Career Leap Assurance - 3 networking sessions with companies, 1 capstone project & lifetime alumni privileges.
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.
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.
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.
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
IT Graduates & Freshers
Any Graduate with Programming Knowledge
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
Types of Machine learning
Popular ML algorithms - Linear Regression, SVM, Decision Trees etc.
Training and Deploying models.
ML With SKLearn using Python
Introduction to Tensorflow
Programming structure in Tensorflow
Regression and classification with Tensorflow
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
Introduction to Image processing and Computer vision.
Convolutional Neural Networks (CNN)
Object Detection in Images
Object Detection in Video
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
Healthcare - Diagnostics with X Ray Data & Others across different domains