PG Certificate in AI and DL from MAHE | AI Course | DL Course | Manipal ProLearn | MAHE
As AI redefines the way we live, it also presents an opportunity for individuals to explore this field for a lucrative career, and to get started check out our "PG Certificate Program in AI and DL from MAHE" course http://bit.ly/2F42DeK
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About the 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.
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
Program Structure
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
Machine Learning
Types of Machine learning
Popular ML algorithms - Linear Regression, SVM, Decision Trees etc.
Training and Deploying models.
ML With SKLearn using Python
Programming with TensorFlow
Introduction to Tensorflow
Programming structure in Tensorflow
Regression and classification with Tensorflow
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
Image recognition
Introduction to Image processing and Computer vision.
Convolutional Neural Networks (CNN)
Object Detection in Images
Object Detection in Video
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
Project
Chatbot
Healthcare - Diagnostics with X Ray Data & Others across different domains
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