Course Title: Artificial Intelligence
Course Duration: 80 Hours
Module 1: Python Programming (6 Projects)
Basics of Programming
Variables, Strings and Numbers, Math Operators, Built-in functions, List and its methods, Tuples, Dictionaries, User Inputs, Conditionals, Custom Functions, Loops.
Numpy Arrays, Indexing, Slicing, Iterating, Stacking and Splitting, Numpy Operations.
Introduction, Series, Data Frames, Merging, Joining and Concatenating, Operations, Data i/p and o/p.
Data Visualisation, Bar Plot, Pair Plot, Histogram and Box-plot, Distribution Plots, Grids and Matrices.
Module 2: Neural Networks and Deep Learning (30 Projects)
Deep Learning Introduction, Shallow Neural Networks, Artificial Neural Networks, Deep Neural Networks, 3 Projects.
Digital Image Processing
Manipulate the images, Image Segmentation, Object Tracking, Object Detection, Feature Detection, Image Filtering, Transformations, Photo Denoising, Facial Landmarks, 10 Mini Projects.
Convolutional Neural Networks , Regularization Methods, 2 Projects, Architectural design, Instance Segmentation, Semantic Segmentation, Object Detection, Video Analysis, SSD, Yolo, Mask-RCNN, 5 Real Time Projects.
Natural Language Processing
NLP Basics, Processing and understanding text, Feature Engineering, Text Classification, Text Summarization, Text Clustering, Semantic Analysis, Sentiment Analysis, Word Embedding, Recurrent Neural , Networks, FastText, Text-CNN, Text-LSTM, Bi-LSTM, 12 Real Time Projects.
Popularity Based RS, Content-Based Filtering, Collaborative Filtering, Hybrid Approaches.
Model Pipelines and Applications, Model Architecture, API Development and CI/CD concepts, Paas and AWS deployment.