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Lesson 1: Introduction to Machine Learning
o    The domain of machine learning and its implications to the artificial intelligence sector
o    the advantages of machine learning over other conventional methodologies.
    
Lesson 2: Deep Learning Techniques
o    Introduction to Deep Learning within machine learning
o    how it differs from all others methods of machine learning
o    training the system with training data
o    supervised and unsupervised learning
o    classification and regression supervised learning
o    clustering and association unsupervised learning
o    the algorithms used in these types of learning.

Lesson 3 TensorFlow for Training Deep Learning Model
o    Introduction to TensorFlowopen source software library for designing
o    building and training Deep Learning models
o    Python Library behind TensorFlow, Tensor Processing Unit (TPU) programmable AI accelerator by Google.
    
Lesson4: Introduction to Neural Networks
o    Mapping the human mind with Deep Neural Networks
o    the various building block of Artificial Neural Networks
o    the architecture of DNN
o    its building blocks
o    the concept of reinforcement learning in DNN 
o    the various parameters, layers, activation functions and optimization algorithms in DNN.

Lesson 5 Using GPUs to train Deep Learning networks
o    Introduction to GPUs and how they differ from CPUs
o    the importance of GPUs in training Deep Learning Networks
o    the forward pass and backward pass training technique
o    the GPU constituent with simpler core and concurrent hardware.