Comparative generative AI
ChatGPT and Claude Training for Workplace Productivity
Use ChatGPT and Claude confidently for research, writing, document analysis, structured thinking, data work, projects, and repeatable workplace output while understanding how to choose between platforms and verify results.
Build practical capability in ChatGPT and Claude Training for Workplace Productivity.
Use ChatGPT and Claude confidently for research, writing, document analysis, structured thinking, data work, projects, and repeatable workplace output while understanding how to choose between platforms and verify results.
Compare ChatGPT and Claude according to workplace task, available tools, source material, output needs, and organizational policy.
Create effective prompts for research, writing, document review, analysis, planning, and content development.
Use files, projects, persistent context, structured workspaces, and platform tools to complete multi-step assignments.
Validate AI output and apply privacy, security, citation, human-review, and responsible-use practices.
Course overview
A structured, application-focused AI program. Open each topic to review its practical coverage.
Module 1: Understanding ChatGPT and Claude
- How Large Language Models Support Workplace Tasks
- Comparing ChatGPT and Claude Workflows
Module 2: Core Prompting Skills
- Principles of effective prompting (clarity, specificity, context)
- Role-Based Prompts
Module 3: Research and Source-Based Work
- Working with Uploaded Files and Reference Material
- Summarizing and Comparing Documents
Module 4: Writing and Content Development
- Writing Reports, Proposals, and Formal Documents
- Prompting for Tone and Voice Matching
Module 5: Data, Analysis, and Structured Output
- Analyzing Uploaded Spreadsheets and Data Files
- Generating Tables, Charts, and Structured Summaries
Module 6: Projects and Extended Workflows
- Organizing Ongoing Work with Projects
- Using Project Instructions and Reference Files
Module 7: Reusable Team Practices
- Building Prompt Libraries for Common Tasks
- Creating Review Checklists and Quality Standards
Module 8: Responsible Workplace Use
- Privacy and Confidential Information
- Understanding AI Limitations and Hallucinations
Full course outline
This restructured outline uses the strongest applicable topics from the legacy AI programs while removing unnecessary overlap.
View full outline
- Module 1: Understanding ChatGPT and Claude
- How Large Language Models Support Workplace Tasks
- Comparing ChatGPT and Claude Workflows
- Choosing a Platform for the Task
- Plans, Access, Feature Availability, and Limitations
- Module 2: Core Prompting Skills
- Principles of effective prompting (clarity, specificity, context)
- Role-Based Prompts
- One-Shot and Few-Shot Prompting
- Prompt Chaining for Multi-Step Tasks
- Making Reusable Prompts with Placeholders (Variables)
- Module 3: Research and Source-Based Work
- Working with Uploaded Files and Reference Material
- Summarizing and Comparing Documents
- Extracting Requirements, Risks, Decisions, and Action Items
- Using Web Research Features Where Available
- Checking Sources, Citations, and Unsupported Claims
- Module 4: Writing and Content Development
- Writing Reports, Proposals, and Formal Documents
- Prompting for Tone and Voice Matching
- Refining and Iterating Written Content
- Creating FAQs and Knowledge Base Content
- Developing Manuals and Other Instructional Materials
- Module 5: Data, Analysis, and Structured Output
- Analyzing Uploaded Spreadsheets and Data Files
- Generating Tables, Charts, and Structured Summaries
- Identifying Trends and Producing Recommendations
- Using Structured Outputs for Repeatable Work
- Validating Calculations, Assumptions, and Conclusions
- Module 6: Projects and Extended Workflows
- Organizing Ongoing Work with Projects
- Using Project Instructions and Reference Files
- Drafting and Revising in ChatGPT Canvas Where Available
- Creating and Refining Claude Artifacts Where Available
- Maintaining Context Across Multi-Step Assignments
- Module 7: Reusable Team Practices
- Building Prompt Libraries for Common Tasks
- Creating Review Checklists and Quality Standards
- Repeating and Scaling Prompts Across Teams
- Troubleshooting and Tweaking Prompts for Better Results
- Module 8: Responsible Workplace Use
- Privacy and Confidential Information
- Understanding AI Limitations and Hallucinations
- Bias, Fairness, and Appropriate Human Judgment
- Human Review and Validation Strategies
- Applying Organizational AI Policies