Level
Beginner to Intermediate
Course Overview
This comprehensive AI Fundamentals course introduces you to the core
concepts, algorithms, and applications of Artificial Intelligence.
You'll learn about machine learning, neural networks, natural language
processing, and computer vision through hands-on projects and
real-world examples.
Course Syllabus
Module 1: Introduction to AI
What is Artificial Intelligence?
History and evolution of AI
Types of AI: Narrow vs General AI
AI applications in industry
Module 2: Python for AI
Python programming basics
NumPy and Pandas for data manipulation
Data visualization with Matplotlib
Jupyter notebooks and environments
Module 3: Machine Learning Basics
Supervised vs Unsupervised Learning
Linear Regression and Classification
Decision Trees and Random Forests
Model evaluation and validation
Module 4: Neural Networks
Introduction to Neural Networks
Activation functions and backpropagation
Building neural networks with TensorFlow/Keras
Convolutional Neural Networks (CNNs)
Module 5: Natural Language Processing
Text preprocessing and tokenization
Sentiment analysis
Named Entity Recognition
Building chatbots
Module 6: Computer Vision
Image processing fundamentals
Object detection and recognition
OpenCV for computer vision
Real-world CV applications
Module 7: AI Ethics and Future
Ethical considerations in AI
Bias and fairness in AI systems
Future of AI and career opportunities
Capstone project
Ready to Start Your AI Journey?
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