Streamline Workflows with Claude AI

Übersicht

Enterprise AI adoption surged 61% year-over-year as 70% of Fortune 100 companies now use Claude for productivity workflows, with users reporting 12x speedup on document tasks—completing in 14.8 minutes what previously required 3.8 hours. This Short Course was created to help Project and Program Management professionals accomplish rapid, reliable automation of everyday work using Claude's 200,000-token context window and structured prompting techniques.

By completing this course, you'll be able to generate stakeholder-ready document summaries using proven prompt patterns, transform meeting notes into actionable checklists with clear ownership, and evaluate AI-generated communications against data-handling standards—capabilities you can deploy immediately in your daily workflows. By the end of this course, you will be able to:

● Apply the role-goal-constraints-examples prompt pattern in Claude to generate concise, stakeholder-ready summaries of multi-page business documents ● Analyze unstructured meeting notes with Claude to produce a structured action-item table and checklist that accurately captures owners, deadlines, and dependencies ● Evaluate Claude-generated emails and policy drafts against enterprise data-handling standards, redacting sensitive information and logging review steps before distribution This course is unique because it combines practical prompt engineering techniques with enterprise governance requirements, teaching both how to get high-quality outputs from Claude and how to review AI-generated content for data sensitivity, accuracy, and compliance before business use.

To be successful in this project, you should have a background in document management, professional communication practices, and project coordination workflows at CB2 intermediate-level expertise.

Lehrplan

• Module 1: Applying Structured Prompt Patterns
You will apply the role-goal-constraints-examples prompt pattern in Claude to generate concise, stakeholder-ready summaries of multi-page business documents.
• Module 2: Analyzing Unstructured Meeting Content
You will analyze unstructured meeting notes with Claude to produce a structured action-item table and checklist that accurately captures owners, deadlines, and dependencies.
• Module 3: Evaluating AI Outputs for Compliance
You will evaluate Claude-generated emails and policy drafts against enterprise data-handling standards, redacting sensitive information and logging review steps before distribution.

---

Unterrichtet von

Hurix Digital

---

Fachgebiete

Artificial Intelligence