Advanced Prompt Engineering: Prompt Chaining, Custom Assistants & Output Evaluation Training Course

Course Overview

Learning Objectives

• Diagnose why prompts give inconsistent results across users and tasks, and where single prompts reach their limits.
• Decompose complex tasks such as analysis, drafting, and review into controlled steps suited to prompt chaining.
• Design prompt chains with clear inputs, outputs, and checks between steps.
• Use few-shot examples and structured output formats to improve consistency.
• Ground answers in supplied documents such as policies, reports, and contracts, and reduce unsupported statements.
• Add self-review and critique steps that catch errors before a human review.
• Build custom assistants with stable instructions, reference material, and examples that serve a defined team task.
• Write prompt templates with variables that colleagues can reuse safely.
• Define evaluation criteria and rubrics for accuracy, completeness, tone, and format.
• Create test sets from real cases and compare prompt versions on recorded evidence rather than impression.
• Organize a team prompt library with ownership, versions, and review dates.
• Apply responsible use rules for confidential data, fact checking, and bias.
• Plan the rollout of tested prompts and assistants to a team or department, with guidance on when outputs must be checked.

Who Should Attend

Learning Outcomes

• By the end of this course, participants will be able to:
• Diagnose inconsistent prompt results and choose the right advanced technique to fix them.
• Break complex tasks into prompt chains with defined inputs, outputs, and checks.
• Use few-shot examples and structured outputs to make results more consistent.
• Ground answers in supplied documents and flag statements without support.
• Add self-review steps that catch errors before human review.
• Build a custom assistant with stable instructions, reference material, and examples.
• Write reusable prompt templates with variables for repeated tasks.
• Define rubrics that measure accuracy, completeness, tone, and format.
• Build test sets and compare prompt versions using recorded evidence.
• Organize a team prompt library with owners, versions, and reviews.
• Apply responsible use rules for confidential data, fact checking, and bias.
• Plan the rollout of tested prompts and assistants across a team.

Course Outline