Course curriculum
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1
Module 1 : Introduction to Artificial Intelligence
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2
Module 2 : Basics of Python for AI
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3
Module 3 : Introduction to Machine Learning
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4
Module 4 : Deep Learning Fundamentals
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5
Module 5 : Advanced AI Techniques
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6
Practical AI Applications
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7
AI Ethics and Fairness
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8
AI Development Tools and Platforms
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9
Hands-on using python
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10
Project Work and Case Studies
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11
Study Material
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What is AI? The History of AI Types of AI Narrow AI, General AI, and Superintelligent AI AI vs Machine Learning vs Deep Learning Quiz -
Basics of python Installing python Python Data Structures Control Flow in Python Functions in Python Modules and Packages Introduction to NumPy Introduction to Pandas Introduction to Matplotlib Quiz -
Understanding Machine Learning Regression Classification Clustering Dimensionality Reduction Overfitting, Underfitting, and Model Selection Quiz -
Introduction to Neural Networks Types of Neural Networks Neural Network Components Activation Functions, Cost Functions 4.5 Backpropagation and Gradient Descent Regularization Techniques Quiz -
Convolutional Neural Networks for Image Processing Convolutional Neural Networks for Image Processing - Part 2 Recurrent Neural Networks for Sequence Data Generative Adversarial Networks Transfer Learning and Fine-tuning Quiz -
Natural Language Processing (NLP) Computer Vision (CV) Speech Recognition and Synthesis Speech Recognition and Synthesis (part 2) AI in Healthcare AI in Business AI in Autonomous Vehicles AI in Entertainment AI in Finance AI in Technology (Ai in Blockchain) AI in Technology (AI in IOT) Quiz -
Understanding AI Ethics Potential Pitfalls and Controversies in AI Strategies for Responsible AI Deployment Quiz -
Tensorflow PyTorch Cloud AI Services Quiz -
Regression using python Classification using python Classification using python -
Guided Project Work -
Study Material
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