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Introduction to Artificial Intelligence

On Udemy

About this course

This course contains the use of artificial intelligence.

Artificial Intelligence is transforming the way we learn, work, communicate, analyze information, and solve problems. Introduction to Artificial Intelligence (Foundations) is designed to provide learners with a strong foundation in AI while introducing them to the technologies, concepts, and practical applications shaping today's AI-driven world.

The course begins with the fundamentals of Artificial Intelligence, including the evolution and types of AI, differences between AI, Machine Learning, and Data Science, and real-world AI applications across industries and professions. Learners will explore the major components of AI systems, including learning, reasoning, perception, language, action, and knowledge.

The course introduces the essential mathematical and algorithmic foundations of AI, followed by practical concepts in Data Science and Machine Learning. Learners will explore data collection, cleaning, preprocessing, exploratory data analysis (EDA), feature engineering, model training, and evaluation. They will also gain an understanding of supervised, unsupervised, and reinforcement learning and work with common Machine Learning algorithms.

Moving further, learners will explore Neural Networks and Deep Learning, including neurons, weights, activation functions, forward propagation, backpropagation, and the process of building a basic neural network using Keras and TensorFlow.

The course also introduces important AI domains such as Natural Language Processing (NLP), Large Language Models (LLMs), Speech Recognition, and Computer Vision. Learners will explore practical concepts such as text preprocessing, sentiment analysis, transformers, tokenization, embeddings, image processing, image classification, and speech-to-text systems.

A dedicated focus on Generative AI and Prompt Engineering

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