In this hands-on course, learn how to build a multiagent prompt engineering system that drives internal LLM adoption across your organization by automating dynamic prompt execution across complex workflows. Using tools like Bolt, Claude, and Airtable, instructor Lillian Pierson shows you how to build a chain of task-specific agents: a sequential pipeline where each agent executes specialized prompt engineering tasks with dynamic variable substitution. Create structured input interfaces, integrate LLM APIs with parameterized prompts, orchestrate multiservice automations, and implement file management systems. Build webhook handlers, automate Google Drive operations, and create database integrations for tracking outputs. Whether you’re a data professional, tech leader, or AI strategist, this course equips you with the skills you need to scale prompt engineering best practices across departments, driving measurable enterprise AI adoption.
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