Lisa Qu
Has successfully completed
AI in Practice 301:
Agents, Automation and Simulation
Rob Arthur
Chief Executive Officer
Graduate No.:
f74cccfe-cd60-4f32-a6fb-1f61e91f5ef0
Issue date:
05 August 2026
Rob Arthur
Certificate of Completion
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LQ

Issued to

Lisa Qu

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Credential Verification

Issue date: August 5, 2026

ID: f74cccfe-cd60-4f32-a6fb-1f61e91f5ef0

NextEd Group logo

Issued by

NextEd Group

Verified

NextEd Group (ASX:NXD) is one of the largest listed private education organisations in Australia, providing education to more than 25,000 students each year via 9 campuses nationally and 16 recruitment offices around the world.

Type

Certification

Level

Professional

Format

Offline

Duration

4 hours

Description

This certificate validates that the holder has demonstrated an ability to: * Select a priority workplace workflow that could benefit from AI support * Break a workflow into simple steps to identify where AI could assist * Explore practical ways AI can support a real workplace task * Build a basic no-code AI concept, assistant, automation, or prototype * Test an AI-enabled concept against a realistic use case and refine the approach * Identify where human judgement, review, and approval should remain part of the workflow * Consider opportunities to improve or scale an AI-enabled workflow * Apply responsible-use principles when designing and testing practical AI solutions The workshop focuses on practical application, helping participants turn a real workplace opportunity into a simple AI-enabled concept or prototype. Through hands-on building, testing, and refinement, participants explore how AI can reduce repetitive work while keeping appropriate human oversight in place. Participants leave with a tangible concept or prototype that their team can build on, along with practical patterns for prompting, responsible AI use, and identifying next steps for improving or scaling the solution.

Skills

Artificial Intelligence

AI Automation

Digital Transformation

AI Opportunity Assessment

Business Process Improvement

Responsible AI

Earning Criteria

Participation

Completing in-person half-day workshop

Participation

Design and develop a simple no-code AI assistant, automation, or prototype.

Participation

Evaluate where human judgement, review, and approval remain necessary within the workflow.

Participation

Produce recommendations for scaling or further developing the AI-enabled workflow.

Participation

Demonstrate responsible AI practices by maintaining appropriate governance, human oversight, and accountability throughout the design and testing process.