This hands-on online workshop takes managers and professionals beyond basic chatbot prompting and into building real, working AI workflows. Rather than teaching prompting in the abstract, the course targets the problems that actually slow professionals down: information overload, unclear instructions, slow and inconsistent writing, and decisions stalled because the data isn't ready. Participants learn which AI tool fits which job, how to chain tools into repeatable workflows, and how to apply prompting techniques that hold up under real workload, not demo conditions. The focus throughout is applied — every technique is practiced during the course.
By the end, every participant leaves with a working set of AI workflows built around their own role — ready to use the next morning.
Learning Objectives:
Understand how large language models process instructions and why prompt structure determines output quality.
Master core prompting techniques — role, context, constraints, examples, and iteration — that stay reliable under real workload.
Learn to match the right AI tool to the right task: research, summarization, writing, analysis, and data preparation.
Chain individual prompts and tools into repeatable workflows for recurring tasks.
Build a personal library of role-specific workflows ready for immediate daily use.
Topics Covered:
Prompt structure and iteration, tool selection and comparison, workflow design and chaining, AI-assisted research and summarization, writing and editing at speed, preparing data for decisions, common failure modes and how to avoid them
