Artificial Intelligence
( 24 Modules )

Module #1
Introduction to Artificial Intelligence
Exploring the definition, history, and applications of AI

Module #2
Machine Learning Fundamentals
Understanding supervised, unsupervised, and reinforcement learning

Module #3
Mathematics for AI
Linear Algebra, Calculus, and Probability for AI applications

Module #4
Python for AI
Introduction to Python programming for AI and data science

Module #5
Data Preprocessing and Visualization
Cleaning, transforming, and visualizing data for AI applications

Module #6
Supervised Learning
Building regression and classification models with scikit-learn

Module #7
Unsupervised Learning
Clustering, dimensionality reduction, and density estimation

Module #8
Reinforcement Learning
Introduction to Markov decision processes and Q-learning

Module #9
Deep Learning Fundamentals
Introduction to neural networks, perceptrons, and backpropagation

Module #10
Convolutional Neural Networks (CNNs)
Image processing and object detection with CNNs

Module #11
Recurrent Neural Networks (RNNs)
Sequence data and language models with RNNs and LSTMs

Module #12
Natural Language Processing (NLP)
Text preprocessing, tokenization, and language modeling

Module #13
Computer Vision
Image classification, object detection, and segmentation

Module #14
Robotics and Control Systems
Introduction to robotics, control systems, and sensor processing

Module #15
AI Ethics and Bias
Understanding and addressing bias in AI systems

Module #16
AI Applications in Industry
Exploring AI applications in healthcare, finance, and marketing

Module #17
AI for Social Good
Using AI for social impact and environmental sustainability

Module #18
Neural Network Architectures
Exploring advanced neural network architectures

Module #19
Generative Models
Introduction to GANs, VAEs, and generative models

Module #20
Transfer Learning and Fine-tuning
Using pre-trained models for efficient AI development

Module #21
AI for Time Series Forecasting
Using AI for time series forecasting and anomaly detection

Module #22
AI for Recommender Systems
Building personalized recommender systems with AI

Module #23
AI Project Development
Developing a real-world AI project from scratch

Module #24
Course Wrap-Up & Conclusion
Planning next steps in Artificial Intelligence career

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