Course curriculum
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1
Introduction to Artificial Intelligence
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What is AI?
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The History of AI
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Different Types of AI
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AI vs. Machine Learning vs. Deep Learning
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Quiz
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2
Basics of Python for AI
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Python Basics
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Installing python
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Python Data Structures
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Control Flow in Python
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Functions in Python
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Modules and Packages
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Introduction to NumPy
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Introduction to Pandas
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Introduction to Matplotlib
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Quiz
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3
Introduction to Machine Learning
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Understanding Machine Learning
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Regression
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Classification
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Clustering
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Dimensionality Reduction
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Overfitting, Underfitting, and Model Selection
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Quiz
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4
Deep Learning Fundamentals
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Introduction to Neural Networks
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Types of Neural Networks
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Neural Network Components
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Activation Functions and Cost Functions
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Backpropagation and Gradient Descent
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Regularization Techniques (Dropout, Batch Normalization)
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Quiz
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5
Advanced AI Techniques
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Convolutional Neural Networks for Image Processing - Part 1
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Convolutional Neural Networks for Image Processing- Part 2
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Recurrent Neural Networks for Sequence Data
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Generative Adversarial Networks
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Transfer Learning and Fine-tuning
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Quiz
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6
Practical AI Applications
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Natural Language Processing
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Computer Vision
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Speech Recognition and Synthesis (part 1)
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Speech Recognition and Synthesis (part 2)
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AI in Healthcare
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AI in Business and E-commerce
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AI in Autonomous Vehicles
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AI in Entertainment
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AI in Finance
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AI in Blockchain
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AI in IOT
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Quiz
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7
AI Ethics and Fairness
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Understanding AI Ethics
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Potential Pitfalls and Controversies in AI
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Strategies for Responsible AI Deployment
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Quiz
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8
AI Development Tools and Platforms
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Tensorflow
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PyTorch 2.0
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Cloud AI Services (AWS, Google Cloud AI, Azure AI)
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Quiz
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9
Hands-on using python
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Regression using python
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Classification using python
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Clustering using python
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10
Project Work and Case Studies
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Guided Project Work
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11
Study Material
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Study Material
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