Module 3 | Table of Contents | AI Using Python
30 Chapters | 70 hours to complete | 5 Videos | 35 Hands-on Activities | 6 Key Assignment | 26 Assessments
Chapter 1: Knowledge Module – Introduction to Perception
1 hour to complete | 2 Hands-on Activities | 1 Assessment
Chapter 2: Knowledge Module – Machine Perception in AI
1 hour to complete | 1 Video | 1 Hands-on Activity | 1 Assessment
Chapter 3: Skills Module – Face Detection using Haar Cascades and OpenCV
2 hours to complete | 3 Videos | 2 Hands-on Activities | 1 Assessment
Chapter 4: Skills Module – Face Mask Detection using OpenCV
2 hours to complete | 1 Video | 1 Hands-on Activity | 1 Assessment
Chapter 5: Skills Module – Face Recognition with Google Colab
2 hours to complete | 2 Hands-on Activities | 1 Assessment
Chapter 6: Experiential Learning Module – Key Assignment: Emotion Recognizer using FER & DeepFace
2 hours to complete | 1 Key Assignment | 1 Real-World Application
Chapter 7: Knowledge Module – Introduction to Natural Language Processing
1 hours to complete | 4 Hands-on Activities | 1 Assessment
Chapter 8: Knowledge Module – Components of NLP
2 hours to complete | 2 Hands-on Activities | 1 Assessment
Chapter 9: Skills Module – Chatbot Development (List & Corpus Trainer)
2 hours to complete | 2 Hands-on Activities | 1 Assessment
Chapter 10: Skills Module – Virtual Assistant Chatbot
3 hours to complete | 2 Hands-on Activities | 1 Assessment
Chapter 11: Knowledge Module – Introduction to LLMs & Transformers
4 hours to complete | 5 Use cases | 1 Assessment
Chapter 12: Skills Module – Text Mining
4 hours to complete | 1 Hands-on Activity | 1 Assessment
Chapter 13: Skills Module – NLP Pipeline for Problem Solving
4 hours to complete | 1 Hands-on Activity | 1 Assessment
Chapter 14: Experiential Learning Module – Key Assignment: Emotion Analyzer Chatbot
2 hours to complete | 1 Key Assignment
Chapter 15: Knowledge Module – Introduction to Machine Learning
2 hours to complete | 1 Hands-on Activity | 1 Assessment
Chapter 16: Knowledge Module – Machine Learning Algorithms
6 hours to complete | 2 Hands-on Activities | 1 Assessment
Chapter 17: Knowledge Module – Introduction to Deep Learning
2 hours to complete | 1 Hands-on Activity | 1 Assessment
Chapter 18: Knowledge Module – Types of Deep Learning Architectures
3 hours to complete | 1 Hands-on Activity | 1 Assessment
Chapter 19: Skills Module – Find Waldo and Wilma using Machine Learning
2 hour to complete | 1 Key Assignment
Chapter 20: Skills Module – Image Classification using CNN
2 hour to complete | 1 Key Assignment
Chapter 21: Knowledge Module – Knowledge Representation
2 hours to complete | 1 Hands-on Activity | 1 Assessment
Chapter 22: Knowledge Module – Inference and Reasoning
2 hours to complete | 1 Assessment
Chapter 23: Knowledge Module – Expert Systems
2.5 hours to complete | 1 Assessment
Chapter 24: Knowledge Module – Reasoning in Machine Learning
2.5 hours to complete | 4 Hands-on Activities | 2 Assessments
Chapter 25: Knowledge Module – Cognitive Architectures
2 hours to complete | 3 Hands-on Activities | 1 Assessment
Chapter 26: Knowledge Module – Explainable AI (XAI)
2 hours to complete | 1 Assessment
Chapter 27: Knowledge Module – Knowledge Graphs
2 hours to complete | 1 Hands-on Activity | 1 Assessment
Chapter 28: Experiential Learning Module – Key Assignment: Image (Digit) Prediction
2 hour to complete | 1 Key Assignment
Chapter 29: Knowledge Module – Merits & Demerits of AI
2 hours to complete | 1 Hands-on Activity | 1 Assessment
Chapter 30: Knowledge Module – AI Life Cycle
2 hours to complete | 1 Assessment
