Generative AI

This section introduces students to the rapidly evolving field of generative artificial intelligence and how modern AI systems can create text, images, code, and other forms of content. Students will understand how generative models work and how businesses are applying them across industries.

Before working with generative AI tools, students must understand the fundamental principles behind AI and machine learning. This section explains how machines learn from data, recognize patterns, and make predictions.

Large Language Models power many generative AI tools used today. In this section, students will learn how these models process language, generate responses, and understand context.

Prompt engineering is one of the most important skills when working with generative AI. Students will learn how to craft effective prompts that guide AI models to produce useful, accurate, and creative results.

This section explores how generative AI tools create different types of content. Students will experiment with AI-powered tools for writing, image generation, coding assistance, and creative workflows.

Students will learn how developers integrate generative AI into real software applications. This section focuses on APIs, automation, and building simple AI-powered tools.

As generative AI becomes more powerful, ethical use becomes critical. This section covers responsible AI development, bias in models, and how organizations manage AI risks.

This section focuses on improving AI outputs, managing performance, and scaling AI-powered applications for real-world use.