Course Information

Learners explore the full life cycle of designing, building, and deploying no-code generative AI agents. Designed for absolute beginners, this course introduces the foundations of agentic AI, including how agents plan, act, and contribute to everyday workflows. Learners map simple workflows by defining inputs, reasoning loops, memory needs, and outputs, while using prompt-based strategies to guide tone, accuracy, and reliability. Through guided mini-tasks and reflection, students practice building agents using free or freemium tools, evaluating platforms, configuring settings, and deploying agents without programming knowledge. They develop skills in testing and refining agent behavior, identifying bias, and implementing safeguards to support ethical and privacy-aware use. From embedding agents into chats, documents, and web interfaces to improving their performance through iteration, learners gain practical experience with AI-supported productivity, communication, and decision-making. Throughout the course, students build a multi-agent portfolio that includes annotated prompts, workflow diagrams, and improvement notes, demonstrating their transferable skills across digital environments.