GenAI Foundations and Prompt Engineering

Ever struggled to get consistent, high-quality responses from AI systems, or wondered how to build chatbots that actually understand your customers' needs? Most professionals know AI is powerful, but few know how to communicate with it effectively to unlock its true potential. This course transforms you from an AI user into a prompt engineering expert who can design sophisticated interactions with large language models. You'll master the fundamental architecture of GenAI systems, explore real-world enterprise applications, and learn advanced prompting techniques that consistently deliver exceptional results. Through hands-on practice, you'll build multi-step prompt chains, optimize context windows, and create customer support chatbots that provide human-like assistance. This course is designed for professionals who want to deepen their AI integration skills: software engineers exploring how to embed GenAI into applications; product managers responsible for implementing AI-driven features; data scientists looking to expand their expertise into generative models; and business analysts seeking to optimize workflows with advanced AI capabilities. Whether you’re building prototypes or production systems, you’ll leave equipped to elevate your AI initiatives. Participants should have a solid foundation in working with APIs and web services, be comfortable writing and debugging Python code, possess general familiarity with core machine learning concepts, and feel at ease navigating command-line tools. A willingness to experiment and iterate with AI tools will help you get the most out of the hands-on activities. By the end of this course, you will be able to apply GenAI system architecture principles to design scalable AI applications; construct and iterate advanced prompt-engineering patterns tailored to diverse business use cases; implement interactive, multi-step prompt workflows with real-time optimization; and develop robust customer-support conversational systems complete with quality-assurance frameworks. These skills will empower you to lead AI-driven innovation within your organization.