Advanced Prompt Engineering & Workflow Automation
Duration |
1-Day Workshop | Classroom / Virtual
One good prompt is luck. A repeatable system is a skill.
Overview
This intermediate, one-day workshop equips learners with structured techniques for designing prompts that consistently generate higher-quality, multi-step business outputs. The Layered Prompting Model helps participants move from basic prompting towards repeatable, scalable AI workflows for increasingly complex workplace tasks.
Learning Objectives
Develop advanced prompting skills: Apply structured techniques to create more consistent and effective AI outputs.
Build scalable AI systems: Move beyond one-off prompts towards repeatable approaches that can be applied across teams.
Standardise AI practices: Create reusable prompt templates that support consistency and knowledge sharing.
Streamline repetitive work: Identify opportunities to convert recurring tasks into efficient AI-supported workflows.
Learning Outcomes
By the end of the course, participants will be able to:
Apply advanced prompting techniques: Deploy advanced prompting approaches to address complex workplace tasks.
Standardise reusable prompts: Construct, refine and share reusable prompt templates to support organisational consistency.
Redesign recurring workflows: Convert activities such as research, data analysis and drafting into streamlined AI-supported workflows.
Refine complex outputs: Iteratively improve prompts to address nuanced business requirements and reduce errors.
Learning Challenges vs. Learning Impact
This table links advanced AI workflow challenges to practical solutions, highlighting how reusable prompts, streamlined processes and improved accuracy enhance team productivity.
Learning Challenge | Learning Impact |
Prompting that does not scale: Prompts may work once but lack the consistency required for repeated use. | Create reusable templates: Develop reusable and shareable prompt templates that support more consistent work across the team. |
No shared team templates: Teams may lack standardised prompts that can be reused and shared. | Build organisational consistency: Construct and share reusable templates that provide a common approach across the team. |
Manual repetition of AI tasks: Recurring AI-supported activities may require unnecessary manual effort. | Streamline recurring workflows: Redesign repeated tasks into more efficient workflows, creating measurable time savings across the team. |
Errors in complex outputs: Multi-step AI tasks can introduce errors as complexity increases. | Improve output reliability: Refine prompts to reduce errors in complex outputs and produce more consistent results. |