All-in-One Artificial Intelligence Full Course 2024 - AI Tutorial for Beginners

Embark on a comprehensive journey through Artificial Intelligence in this extensive 11-hour video tutorial. Begin with the fundamentals and historical context of AI, then explore the distinctions between AI, Machine Learning, and Deep Learning. Delve into Neural Networks and Deep Learning concepts, including Multilayer Perceptrons and essential tools like TensorFlow and Keras. Learn about Computer Vision using OpenCV and Convolutional Neural Networks, and explore Natural Language Processing, covering Text Representation, TF-IDF, and models like GloVe. Discover Generative AI, Large Language Models (LLMs), and Prompt Engineering. Conclude with real-world AI projects and case studies, demonstrating practical applications of Artificial Neural Networks (ANN) and Deep Learning. Gain crucial AI skills, explore industry applications, and enhance your career prospects through this in-depth tutorial.

Introduction
Introduction to Artificial Intelligence
History of AI
AI vs Machine Learning vs Deep Learning
Introduction to Neural Networks
Introduction To Deep Learning
What is Back Propagation
How does Back propagation works
What is Back and Forward Propagation
What is Feed Forward Network
Types of Back Propagation Network
Key Points of Back Propagation
Demo for Back Propagation Function Implementation
Human brain vs Neural Network
Introduction for TensorFlow
Getting Started with TensorFlow
How to Install TensorFlow
Demo 1 MNIST Character Recognition with TensorFlow
Introduction to Computer Vision
Filters
Features from Kernels
Case Study on Image Processing
Convolution Layer
Pooling and Padding
CNN Architecture
Transfer Learning
Case Study on Image Classifier
Introduction to OpenCV
Process of OpenCV
How to Install OpenCV
Demo on OpenCV Operations
Introduction to NLP
Tokenization
Sequence to Sequence Model
Introduction to Transformers in NLP
Introduction to Generative AI
What is Prompt Engineering
AI Projects and Case Studies
Summary