Design, deploy, and scale Claude-powered AI coworkers for real business workflows in 3 days
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Instruction covers coordinating multiple AI roles using planner, executor, and reviewer patterns to manage sequential and parallel workflows.
The path includes implementing memory systems for context persistence and using RAG to ground outputs in external data via APIs.
Editorial course preview
These 3 complementary views highlight concrete, legible examples from the course presentation.
This curriculum overview outlines a three-day project plan covering AI coworker design, multi-step workflows, memory tools, multi-agent systems, evaluation guardrails, and shipping a real workflow.
This slide outlines the course structure for building an AI workforce in three days, highlighting key benefits like hands-on learning and defining specific goals for engineers, product managers, and technical builders.
This slide outlines the shift from using AI as simple tools to building autonomous coworkers, highlighting that prompting alone is no longer enough for real value.
No substantive learner reviews are available to verify teaching clarity or the effectiveness of the article-based lab format.
The curriculum aligns with the goal of building AI workflows for professionals, though it lacks deep coding requirements.