This course provides a complete introduction to Generative Artificial Intelligence and the modern tools used to build AI applications. It is designed for beginners and developers who want to understand how generative AI systems work and how to build real projects.

The course begins with an introduction to generative AI and explains how large language models generate text, images, and other content. Learners will explore popular AI platforms and frameworks used in modern AI development.

Next, the course introduces the OpenAI API and shows how developers can interact with powerful AI models to build intelligent applications. Students will also learn how to use LangChain, a framework designed for building advanced AI applications with large language models.

The course then explores vector databases, which are used to store and search AI data efficiently. Tools such as Pinecone and ChromaDB are explained with practical examples.

Learners will also study popular AI models including Meta Llama and Google Gemini. These technologies are widely used in modern generative AI systems.

Practical projects are included throughout the course. Students will build end-to-end AI applications such as chatbots and real-world AI solutions.

By the end of the course, learners will understand generative AI technologies and gain practical experience building AI-powered applications.