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AI Workflow Automation with Prompts

Chain prompts into working automations that draft, classify, summarise, and route information across the tools your team already uses.

Material Overview
AI Workflow Automation with Prompts

Turn single prompts into end to end workflows. You will map a manual process, break it into prompt sized steps, and connect those steps with automation platforms and APIs that handle triggers, data passing, and failures. Worked examples include inbox triage, meeting note summarisation, content pipelines, and recurring report generation, each with the review points and approval gates that keep a human in control of the result.

Curriculum

Learning Path

Each level is enrolled separately. Work through them in order, or start at the level that matches your experience.

  1. Level 01

    Beginner

    Purpose

    Identify the repetitive tasks in your week that a single prompt could handle reliably.

    Outcome

    You can replace one recurring manual task with a reliable prompt you use every week.

    What You'll Learn
    • List recurring tasks and mark the ones with a predictable input and output
    • Write a single prompt that completes one of them from start to finish
    • Save and reuse that prompt with a simple checklist for input quality

    243 CREDS

  2. Level 02

    Intermediate

    Purpose

    Connect prompts to triggers and applications so work starts without anyone opening a chat window.

    Outcome

    You can run an automation that starts on its own and delivers results to the right place.

    What You'll Learn
    • Set triggers from email, forms, calendars, and file uploads
    • Pass data between steps and keep formats stable along the way
    • Add notifications and logs so you can see what ran and when

    377 CREDS

  3. Level 03

    Advanced

    Purpose

    Build multi step automations that classify, decide, and route work across several systems.

    Outcome

    You can automate a complete process that involves judgement, not just formatting.

    What You'll Learn
    • Design branching flows where the model classifies input and picks the next step
    • Combine retrieval with generation so decisions use current data
    • Handle errors, retries, and cases the automation should refuse to decide

    659 CREDS

  4. Level 04

    Expert

    Purpose

    Operate automations at team scale with ownership, monitoring, and controls that keep humans accountable.

    Outcome

    You can run a portfolio of AI automations that leadership can trust and audit.

    What You'll Learn
    • Document each automation with an owner, a purpose, and a failure plan
    • Monitor accuracy, cost, and exception rates after launch
    • Set approval gates and audit trails for decisions that affect people or money

    1,065 CREDS