Artificial Intelligence Course Overview

Explore the fundamentals of AI, including machine learning, neural networks, and real-world applications. Gain hands-on experience with AI tools and techniques.

Course Modules:

1. Introduction to AI

Overview of AI concepts, history, and key technologies.

2. Machine Learning

Supervised, unsupervised, and reinforcement learning techniques.

3. Neural Networks & Deep Learning

Fundamentals of neural networks, backpropagation, and deep learning models.

4. Natural Language Processing (NLP)

Language models, text analysis, and AI-powered communication.

5. Computer Vision

Image recognition, object detection, and visual data processing.

6. AI Tools & Frameworks

Hands-on with TensorFlow, PyTorch, and other AI development tools.

7. AI Ethics & Responsible AI

Ethical considerations, biases, and responsible AI development.

8. AI Applications & Case Studies

Real-world AI applications in healthcare, finance, robotics, and more.

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