Artificial Intelligence Master Class 

DAY-1 Overview of this course, Introduction to AI, How to create basic AI application (Chat bot using DialogFlow)

DAY-2 How to install python & libraries, Basics of python Programming for AI.

DAY-3 Introduction to Computer Vision, How to install computer vision libraries

DAY-4 Moving object detection and tracking using OpenCV

DAY-5 Face detection and Tracking using OpenCV

DAY-6 Object Tracking based on colour using OpenCV

DAY-7 Face recognition using OpenCV

DAY-8 Face Emotion recognition using 68-Landmark Predictor OpenCV

DAY-9 Introduction to Deep learning, How to install DL libraries

DAY-10 Designing your First Neural Network

DAY-11 Object recognition from Pre-trained model

DAY-12 Image classification using Convolutional Neural Network

DAY-13 Hand gesture recognition using Deep Learning

DAY-14 Leaf disease detection using Deep Learning

DAY-15 Character recognition using Convolutional Neural Network

DAY-16 Label reading using Optical Character recognition

DAY-17 Smart Attendance system using Deep Learning

DAY-18 Vehicle detection using Deep Learning

DAY-19 License plate recognition using Deep Learning

DAY-20 Drowsiness detection using Deep Learning

DAY-21 Road sign recognition using Deep Learning

DAY-22 Introduction to Machine learning, How to install ML libraries

DAY-23 Evaluating and Deploying the various ML model

DAY-24 Fake news detection using ML

DAY-25 AI snake game design using ML

DAY-26 Introduction to NLP & itÂ?s Terminology, How to install NLP Libraries NLTK

DAY-27 Title Formation from the paragraph design using NLP

DAY-28 Speech emotion analysis using NLP

DAY-29 Cloud-based AI, Object recognition using Amazon Web Service(AWS) & Imagga

DAY-30 Deploying AI application in Raspberry Pi with Neural Compute stick & Nvidia, Jetson Nano