SECTION 1: Introduction to Artificial Intelligence 8

• Lecture1.1
  What is AI? — (preview)
• Lecture1.2
  Instructions
• Lecture1.3
  Message from CEO
• Lecture1.4
  Applications of AI
• Lecture1.5
  Types of AI
• Lecture1.6
  Reinforcement learning
• Lecture1.7
  Film by AI (Bonus)
• Lecture1.8
  Languages used for AI

SECTION 2: Familiarizing with python 2

• Lecture2.1
  Python Introduction and Anaconda Navigator
• Lecture2.2
  Introduction to Python hands-on

SECTION 3: What is Machine Learning 5

• Lecture3.1
  Introduction to Machine Learning
• Lecture3.2
  TensorFlow
• Lecture3.3
  Basics of Computer Vision
• Lecture3.4
  Introduction to Convolutional Neural Networks
• Lecture3.5
  Building an image classifier

SECTION 4: Image classification using Deep Learning 6

Hands-on tasks

• Lecture4.1
  Image classification task 1
• Lecture4.2
  Image classification task 2
• Lecture4.3
  Image classification task 3
• Lecture4.4
  Image classification task 4
• Lecture4.5
  Image classification task 5
• Lecture4.6
  Image classification task 6

SECTION 5: House price prediction using Neural networks 7

Hands-on tasks

• Lecture5.1
  House price prediction task 1
• Lecture5.2
  House price prediction task 2
• Lecture5.3
  House price prediction task 3
• Lecture5.4
  House price prediction task 4
• Lecture5.5
  House price prediction task 5
• Lecture5.6
  House price prediction task 6
• Lecture5.7
  House price prediction task 7

SECTION 6 : Assignment 1

• Lecture6.1
  Assignment

SECTION 7 : Assessment Test 1

This test is for practice

• Quiz7.1
  Final Assessment Test (MCQ) 10 questions

SECTION 8 : Feedback 1

• Lecture8.1
  Review and feedback