Course Overview

✅ 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.

COMPUTER VISION

✅ 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 color using OpenCV
✅ DAY –7 Face Recognition using OpenCV
✅ DAY –8 Face Emotion recognition using 68-Landmark Predictor OpenCV

DEEP LEARNING

✅ 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

MACHINE 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

NATURAL LANGUAGE PROCESSING

✅ Day 26 Introduction to NLP & it’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

DEPLOYING AI IN HARDWARE

✅ 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