Introduction to Artificial Intelligence (AI)

Introduction to Artificial Intelligence (AI)

 Week 1: Introduction to AI & Its History

 Video Lectures: Overview of AI, key milestones in AI development, and current trends.

 Readings: History of AI development and its impact.

 Quiz: Short quiz on AI history and applications.

 

Week 2: AI Fundamentals & Techniques

Video Lectures: Machine learning, supervised vs. unsupervised learning, neural networks.

Assignment: Implement a basic machine learning model using Python.

Discussion Forum: Engage with peers on the challenges of ML techniques.

 

Week 3: Neural Networks and Deep Learning

Video Lectures: Introduction to neural networks, backpropagation, and deep learning basics.

Quiz: Test knowledge of neural networks and their structure.

Project: Build and train a simple neural network using TensorFlow for Keras.

 

 Week 4: Natural Language Processing (NLP)

Video Lectures: Explore language models, text processing, and sentiment analysis.

Assignment: Use an NLP library to analyze and process textual data.

Peer Review: Collaborate and discuss NLP techniques with classmates.

 

Week 5: Computer Vision

Video Lectures: Introduction to computer vision, image recognition, and convolutional neural networks (CNNs).

Project: Create an image classification model.

Quiz: Assess understanding of CNNs and image processing.

 

Week 6: AI in the Real World

Video Lectures: AI applications in industries such as healthcare, finance, and robotics.

Capstone Project: Develop a complete AI solution for a real-world problem.

Discussion Forum: Share your project experience and insights with fellow students.