Claude AI Workflow Automation Training in Kraków, Poland

This training equips professionals with practical knowledge of using Claude AI to automate tasks, streamline workflows, and boost productivity. Participants will learn to use Claude for task delegation, process assistance, document automation, research support, and time-saving strategies across business functions.

FOUNDATION & INDIVIDUAL PRODUCTIVITY TASKS

1. Introduction to Claude AI and Automation Concepts

• What is Claude AI and how does it differ from others
• Understanding Claude’s conversational memory and long-context capabilities
• Key use cases for productivity and automation

2. Prompt Design for Workflow Tasks

• Designing effective prompts for step-by-step task handling
• Using Claude to simulate decision trees, to-do lists, and planning
• Reusability and template prompts for repeated tasks

3. Task Management and Time Optimization

• Delegating personal tasks to Claude: reminders, summaries, plans
• Generating meeting agendas and minutes
• Prioritizing and organizing daily work with Claude

4. Document and Email Automation

• Drafting emails, memos, and reports
• Summarizing long content and extracting action points
• Automating content formatting and documentation

TEAM WORKFLOWS, ADVANCED PROMPTS & INTEGRATION

1. Automating Team Workflows with Claude

• Using Claude to support HR, marketing, sales, and operations
• SOP writing, onboarding material, internal FAQs
• Project planning assistance and collaboration templates

2. Research, Data Support & Analysis

• Claude for summarizing reports, gathering key insights
• Helping with structured research and competitive comparisons
• Building decision support tools with AI

3. Workflow Scenarios & Simulations

• Designing multi-step processes using Claude
• Creating conditional logic in prompts
• Chaining tasks and output formatting

4. Integration and Deployment Tips

• Using Claude alongside Notion, Google Docs, Slack, Trello, etc.
• Exporting and versioning Claude’s outputs
• Best practices for auditability and team collaboration

5. Final Practice & Wrap Up

• Share, review, and iterate with feedback
• Wrap-up and next steps for scaling AI-driven productivity