This course provides a comprehensive introduction to Artificial Intelligence and modern AI technologies. It is designed for beginners and professionals who want to understand AI concepts and build practical AI skills.
The course starts with the fundamentals of Artificial Intelligence and explains how AI systems work. Learners will explore the differences between AI, machine learning, and deep learning, and understand the roadmap to becoming an AI engineer.
Next, the course introduces important AI technologies such as large language models (LLMs), generative AI agents, and multimodal AI systems. Learners will also understand how modern AI models process text, images, and other types of data.
The course explains advanced concepts including reinforcement learning, recurrent neural networks, transformers, and retrieval augmented generation (RAG). These technologies are widely used in modern AI applications such as chatbots and intelligent systems.
Practical examples are included to help learners apply their knowledge. Students will learn how to build AI-powered applications, create AI clones, and develop simple websites using AI tools.
The course also discusses important topics such as AI bias, benchmarking AI models, and prompt engineering techniques.
By the end of the course, learners will understand key AI technologies and gain practical knowledge to start working with Artificial Intelligence systems.
