Artificial Intelligence
Course Description
Understand the foundations of Artificial Intelligence
Learn Machine Learning & Deep Learning basics
Work with AI tools & frameworks (Python, TensorFlow, PyTorch)
Apply AI in real-world domains (healthcare, business, finance, etc.)
Explore ethical challenges & the future of AI
Module 1: Introduction to AI
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What is Artificial Intelligence?
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History & Evolution of AI
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AI vs. Machine Learning vs. Deep Learning
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Real-world applications of AI
Module 2: AI Fundamentals
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Data collection, cleaning & preprocessing
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Algorithms & models basics
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Supervised vs. Unsupervised learning
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Intro to Natural Language Processing (NLP)
Module 3: Machine Learning Basics
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Regression & Classification
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Decision Trees & Random Forests
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Model training, testing & evaluation
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Hands-on: Build a simple ML model
Module 4: Deep Learning & Neural Networks
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Understanding Artificial Neural Networks (ANN)
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CNNs for image recognition
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RNNs for text & speech processing
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Hands-on: Image classification project
Module 5: AI Tools & Frameworks
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Python for AI (NumPy, Pandas, Matplotlib)
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TensorFlow & PyTorch introduction
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Using pre-trained AI models
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Hands-on: AI chatbot or image recognition
Module 6: AI Applications
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AI in healthcare, business, and finance
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AI in marketing & automation
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Case studies of AI in daily life
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Hands-on: Mini project
Course Curriculum
