GenAI Prompt Lab for Business Productivity
Duration
1 Day
Level
Basic Level
Design and Tailor this course
As per your team needs
Overview
This one-day hands-on workshop introduces participants to the fundamentals of Generative AI and practical Prompt Engineering for business productivity. The session begins with the basics of Generative AI, Large Language Models, and how prompts influence AI responses.
Participants will learn how to create better prompts for everyday workplace tasks such as writing emails, summarizing documents, analyzing information, creating reports, generating plans, preparing presentations, extracting insights, and working with structured outputs like tables and JSON.
The training is designed for business users and focuses on practical usage rather than deep AI theory. Through guided exercises, participants will compare weak and strong prompts, apply modern prompting techniques, and build reusable prompt templates for common business workflows.
A final capstone activity will happen at the end of the day where participants will apply the learned techniques to a business productivity scenario.
By the end of this workshop, participants will be able to:
- Understand what Generative AI and Large Language Models are
- Explain what prompt engineering means and why it matters
- Write clear, structured, and reusable prompts
- Use prompt frameworks for business communication, summarization, planning, and analysis
- Apply zero-shot, one-shot, few-shot, role-based, contextual, and refinement prompting
- Use AI for document summarization, rewriting, reporting, and decision support
- Generate structured outputs such as tables, checklists, and JSON
- Understand basic prompting differences for text, data, code, images, and videos
- Review AI-generated outputs for accuracy, relevance, tone, and risk
- Build practical AI-assisted productivity workflows
Audience
- Business Professionals
- Project Coordinators and Managers
- Operations Teams
- HR Professionals
- Marketing Professionals
- Business Analysts
- Administrative and Support Teams
- Team Leads and Department Managers
- Professionals looking to improve productivity using Generative AI
Prerequisites
Participants should have:
- Familiarity with business tools such as Word, Excel, PowerPoint, Outlook, or Teams
- Basic awareness of AI tools such as ChatGPT, Microsoft Copilot, Gemini, or Claude
- No programming or AI technical background required
Curriculum
- What is Generative AI?
- What is a Large Language Model?
- How AI generates text at a high level
- What are prompts?
- What are tokens and context windows?
- Why AI sometimes gives incorrect or incomplete answers
- Common business use cases of GenAI
- Difference between ChatGPT, Copilot, Gemini, and Claude at a high level
- Where AI can help in daily work
- Where human review is still required
- What is prompt engineering?
- Why prompt engineering is important for business productivity
- Difference between vague prompts and structured prompts
- Common issues with poor prompts
- How to give clear task instructions
- How to provide context to AI
- How to specify audience, tone, length, and format
- Asking AI to ask clarifying questions
- Prompt engineering vs RAG vs fine-tuning vs automation
- When simple prompting is enough
- When a more advanced AI solution may be needed
- Anatomy of a good prompt
- Role-based prompting
- Task definition
- Context and background information
- Input/source material
- Constraints and boundaries
- Output format specification
- Examples and reference style
- Review instructions
- Creating reusable prompt templates
- Building a personal prompt library
- Zero-shot prompting
- One-shot prompting
- Few-shot prompting
- Role prompting
- Contextual prompting
- Step-by-step task breakdown
- Prompt chaining
- Self-review prompting
- Comparative prompting
- Constraint-based prompting
- Rubric-based prompting
- Refinement prompting
- Writing professional emails
- Rewriting text for different audiences
- Summarizing long content
- Creating executive summaries
- Extracting key points
- Extracting action items
- Identifying risks and issues
- Comparing two documents
- Creating FAQs from documents
- Converting rough notes into polished communication
- Prompting AI for analytical reasoning
- Extracting insights from business data
- Analyzing tables and spreadsheet-like data
- Identifying trends, patterns, and risks
- Creating decision-support summaries
- Generating recommendations
- Creating comparison tables
- Creating action trackers
- JSON prompting basics
- Using structured outputs for automation
- Prompting for text generation
- Prompting for document creation
- Prompting for spreadsheet/data analysis
- Prompting for code generation
- Prompting for image generation
- Prompting for video generation
- Prompting for presentation creation
- Key differences between text, data, code, image, and video prompts
- What details to include for each output type
- Why AI outputs must be reviewed
- Hallucination awareness
- Bias and fairness
- Privacy and confidential information
- Avoiding unsupported claims
- Asking AI to state assumptions
- Asking AI to identify missing information
- Using review checklists
- Human-in-the-loop validation
- Safe use of AI in business workflows
Duration
1 Day
Level
Basic Level
Design and Tailor this course
As per your team needs
