Artificial Intelligence

HOTS ACADEMY

Last Update 1 يوليو 2024

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About This Course

This course is designed to introduce participants to the expansive world of Artificial Intelligence. Through a blend of theoretical knowledge and practical exercises, learners will explore how AI systems are built, trained, and applied across various industries. The curriculum will cover the foundations of AI, including machine learning models, deep learning networks, natural language processing, and ethical considerations in AI. By the end of the course, participants will have hands-on experience with AI tools and techniques, enabling them to develop their own AI applications.

Learning Objectives

Fundamental Concepts of AI: Understand the core principles behind artificial intelligence, including machine learning, deep learning, neural networks, and algorithms.

Machine Learning Techniques: Gain proficiency in supervised, unsupervised, and reinforcement learning techniques and their applications.

Deep Learning and Neural Networks: Learn the architecture of neural networks, including CNNs (Convolutional Neural Networks) and RNNs (Recurrent Neural Networks), and how to implement them.

Natural Language Processing (NLP): Explore techniques for processing and analyzing human language, enabling computers to understand, interpret, and generate human language.

AI in Practice: Apply AI techniques to real-world problems and scenarios, such as image recognition, speech recognition, and autonomous vehicles.

Ethics and AI: Discuss the ethical considerations and societal impacts of artificial intelligence and how to address bias in AI models.