This course provides a comprehensive exploration of generative artificial intelligence (AI) and its practical applications in solving complex business challenges. This course combines theoretical instruction with hands-on experience, equipping participants with the skills to design, develop, and deploy Generative AI-driven solutions. Topics include prompt engineering, natural language processing (NLP), generative AI workflows, fine-tuning large language models (LLMs), agentic AI development, secure AI practices, and the evaluation of AI solutions. Participants will also gain insight into ethical AI practices to ensure responsible and fair use of this technology. The curriculum includes two hands-on projects and analysis of real-world case studies.This program is designed for technology professionals, data analysts, engineers, consultants, technical managers, and STEM graduates seeking to enhance their expertise in generative AI. A foundational understanding of programming and data analysis is recommended. Participants will develop proficiency in using tools such as Python, VS Code, and various libraries. They will also learn techniques for retrieval-augmented generation (RAG), quick fine-tuning with vector databases, and use of open-source LLMs for proprietary applications. This course prepares graduates to apply generative AI to a wide range of applications, develop and train generative models, apply these techniques to create content, evaluate ethical implications, and analyze the impact of AI on various industries and society.