Building Agentic AI Applications with a Problem-First Approach

Source: https://maven.com/aishwarya-kiriti/genai-system-design

The course format is a “flipped classroom”: all lectures are pre-recorded so you can study the material at your own pace, while live sessions and office hours are held five times a week, totaling over 35 hours of live interaction.

This course is suitable for anyone who has written code at least once; the assignments include options with a low level of code, so even those who haven’t programmed in many years will find the course accessible and useful. The course is also aimed at a wide audience—ranging from product managers and architects to executives and anyone seriously interested in agent-based AI. Agent-based AI—systems capable of acting with a certain degree of autonomy—are changing the way we interact with technology. In the coming years, most programs will include AI agents to enhance capabilities. This creates a high demand for specialists who can not only understand AI but also effectively apply it to solve real business problems, considering practical constraints. The course focuses on the practical development of agent-based AI—we examine key paradigms in designing and utilizing agents, emphasizing not just what they are, but when and how to apply these approaches to make informed business.