This comprehensive course is designed for developers who want to specialize in Generative AI and build advanced AI-powered applications. The course starts with an introduction to Generative AI concepts, Large Language Models (LLMs), and the principles behind text, image, and code generation. Developers will learn how to leverage AI tools and frameworks to create robust, scalable, and efficient applications.

Hands-on modules cover prompt engineering, fine-tuning AI models, integrating APIs, and building real-world applications such as chatbots, content generators, and AI-driven business solutions. The course also explores the end-to-end development workflow, including designing AI architectures, managing data pipelines, and deploying models in production environments. Advanced sections focus on integrating Generative AI with databases, vector search, and low-code platforms to maximize productivity and performance.

Ethical AI practices, model biases, and responsible deployment strategies are included to ensure developers can create safe, trustworthy AI applications. By the end of this course, participants will have the skills to develop, deploy, and optimize Generative AI solutions, making them capable of handling projects ranging from research prototypes to enterprise-grade applications.