Claude AI Masterclass - Productivity & Automation Training in New York, USA

The Claude AI Masterclass: From Productivity to Workflow Automation is a comprehensive, hands-on training program designed to equip professionals with the knowledge and practical skills to effectively leverage Claude AI for business productivity, communication, research, data analysis, content creation, and workflow automation.

Through instructor-led demonstrations, guided hands-on exercises, real-world business scenarios, and practical labs, participants will learn how to transform routine tasks into efficient AI-powered workflows. The course progresses from foundational concepts such as prompt engineering and document analysis to advanced topics including workflow design, no-code AI tools, Computer Use, and enterprise collaboration.

By the end of the program, participants will be able to confidently integrate Claude into their daily work, improve productivity, automate repetitive processes, and build intelligent AI-assisted workflows that enhance decision-making and operational efficiency.

Claude AI for Productivity

1. Claude AI Fundamentals
   • Claude capabilities & limitations
   • Business use cases
   • AI safety and responsible usage
   • Identifying tasks where Claude can help
2. Prompt Engineering
   • Anatomy of a good prompt
   • Context, role, instructions & constraints
   • Output formats
   • Iterative prompting
   • Reusable prompt templates
   • Advanced prompting techniques
3. Claude for Everyday Business Work
   • Emails & communication
   • Document summarization
   • Document analysis
   • Research & report writing
   • Meetings & project management
   • Content creation
4. Data Analysis with Claude
   • Working with business data
   • Finding trends and insights
   • Data-driven questions
   • Summaries and recommendations
   • Practical business analysis

Hands - on Exercises

Claude AI for Workflows & Automation

5. AI-Powered Workflow Design
   • What can and cannot be automated with Claude
   • Identifying repetitive tasks
   • Mapping a business process
   • Breaking tasks into AI steps
   • Input → Process → Output
   • Human review & validation
   • Creating reusable AI workflows
6. Building Practical AI Solutions
   • Prompt-based workflows
   • Document → Analysis → Report
   • Meeting → Actions → Follow-up
   • Data → Insights → Recommendations
   • Email → Classification → Response
   • Creating reusable templates
   • Claude Artifacts / no-code capabilities where available
7. Workflow Optimization & AI Adoption
   • Improving workflow reliability
   • Quality control
   • Reducing hallucinations
   • Creating team prompt libraries
   • AI usage guidelines
   • Measuring productivity gains
   • Identifying future automation opportunities

Hands-On Exercises