Building AI-Powered Productivity Workflows

• Structuring a reliable workplace prompt
• Defining context, task, constraints, tone, and output format
• Diagnosing common prompting failures
• Refining prompts iteratively
• Creating testable output requirements

Hands-on Lab: Prompt Makeover — Rewrite and test weak prompts used for common workplace tasks, compare before-and-after outputs, and document which changes improved reliability.

• Applying zero-shot and few-shot prompting
• Using role-based and instruction-based prompting
• Decomposing complex work into smaller AI tasks
• Managing multi-turn conversations
• Building prompt chains
• Advanced prompting patterns
• Running AI-assisted research with source comparison and citation verification

Hands-on Lab: Build a Prompt Chain — Create and run a multi-stage AI process in which the output of one prompt becomes the input to the next, producing a complete business deliverable.

• Converting successful prompts into repeatable templates
• Variables and placeholders
• Usage instructions and example outputs
• Versioning and maintaining shared prompts
• Creating role-specific prompt libraries

Hands-on Lab: Build a Team Prompt Library — Create a structured library of reusable prompt templates with variables, examples, instructions, and quality checks.

• Identifying automation opportunities
• Mapping a manual workflow step by step
• Designing AI-enhanced workflows
• Trigger, action, decision, and output logic
• Low-code and no-code automation platforms
• Connecting AI services with workplace applications
• Introduction to APIs and AI-enabled integrations

Hands-on Lab: Map and Automate a Process — Map a recurring manual process and implement it as a working automation using a platform such as Power Automate, Zapier, Make, or n8n.

• Implementing common AI workflow patterns across business functions
• Information intake and classification
• Summarization and extraction workflows
• Document and communication generation
• Approval and routing patterns
• Human resources workflow example
• Determining where human review belongs in an automated process

• Documenting the technical and business case for an automation
• Measuring and demonstrating workflow performance
• Documenting AI-enhanced processes
• Training users to operate the workflow correctly
• Managing process changes
• Creating internal support and adoption resources

Build and deliver a complete AI-powered workflow that automates a recurring business task. The package includes the working automation, prompt templates, process map, test evidence, estimated time savings, and a concise business case explaining the operational value of the solution. The capstone is assessed against a skills-based rubric and must be successfully completed to earn the CERT4TECH Certificate in AI-Powered Productivity Workflows.