Course Objective & Scope
While basic prompting handles simple drafting, real enterprise tasks—such as triaging complex customer tickets against policy rules, extracting structured fields from contracts, or auditing multi-source reports—require hands-on workflow engineering. This applied course bridges prompt design and context management on authentic corporate workloads.
Participants practice breaking monolithic tasks into reliable multi-step sequences, grounding prompts in organizational reference documents, and generating structured outputs ready for downstream tools. Teams spend the majority of the program building, testing, and refining production-ready prompt workflows for their own departments.
Who Should Attend?
- Specialists ready to move beyond basic chat and build repeatable AI solutions for departmental workflows
- Business analysts, product owners, process improvement specialists, and operations leads
- Power users configuring internal assistants (Custom GPTs, Claude Projects, Copilot Studio agents)
- Prior experience with basic LLM prompting is recommended
Key Takeaways
- Decompose complex business tasks into reliable, sequential prompt steps with clear intermediate outputs
- Extract structured fields (Markdown tables, CSV, JSON) from unstructured emails, forms, and PDFs
- Ground decision-support prompts in corporate policy documents and SOPs to ensure rule compliance
- Build parameterized, reusable prompt templates with variable placeholders for team-wide use
- Stress-test applied prompts against messy inputs and edge cases before rolling them out
Curriculum
Translating Business Problems into Prompt Architectures
- Auditing a business task: separating deterministic logic from LLM reasoning steps
- When single prompts break down and how to decompose complex tasks into manageable stages
- Designing parameterized templates that cleanly separate static system logic from dynamic user inputs
Applied Information Extraction and Triage Workflows
- Turning unstructured emails, tickets, CVs, and contracts into clean tables, CSVs, or JSON
- Engineering multi-class classification rubrics with explicit definitions for borderline cases
- Enforcing strict null-handling rules so the model never guesses missing fields
Context Injection and Policy-Guided Decision Support
- Structuring SOPs, product rules, and pricing policies as reference context inside prompts
- Building compliance-checking prompts that evaluate a case step-by-step against corporate rules
- Pruning irrelevant context noise to keep model attention focused on critical constraints
Live Workflow Lab: End-to-End Solution Building
- Hands-on lab: modeling a real departmental process from raw input to final deliverable
- Testing the prompt workflow across 5 realistic test cases including messy and incomplete inputs
- Packaging the validated workflow into a shared workspace assistant (Claude Project / Custom GPT)
Other Courses in This Category
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Advanced course covering production system prompt architecture, complex reasoning patterns (ReAct, self-correction, decomposition), tool-use instructions, and cross-model optimization.
- Live Course
- 4 modules
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Practical course on designing modular corporate templates that combine domain personas, strict operational instructions, and deterministic output schemas (Markdown, tables, JSON).
- Live Course
- 4 modules
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Intermediate course on decomposing complex corporate processes into sequential, branching, and review-gated prompt chains that deliver reliable end-to-end outputs.
- Live Course
- 4 modules
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Comprehensive course on designing, curating, structuring, and budgeting the information environment fed into LLMs—covering context rot prevention, token budgeting, and dynamic context assembly.
- Live Course
- 4 modules
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Practical course on curating, structuring, and governing organizational wikis, SOPs, and document repositories so AI assistants and RAG workflows retrieve accurate, conflict-free context.
- Live Course
- 4 modules
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Practical course on analyzing, cross-referencing, and extracting verified information from 100+ page contracts, RFPs, regulations, and annual reports using long-context LLMs.
- Live Course
- 4 modules
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