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ChatGPT for Enterprise Productivity and Prompt Engineering

Artificial Intelligence

Course Overview


This comprehensive 3-day course is designed to help professionals maximize productivity using ChatGPT and Generative AI technologies in business and technical environments. Participants will learn the fundamentals of Large Language Models (LLMs), prompt engineering techniques, business productivity applications, technical use cases, data analysis, and enterprise AI adoption strategies. Through hands-on exercises and real-world scenarios, learners will develop practical skills in creating effective prompts, building Custom GPTs, automating workflows, and implementing AI responsibly within their organizations.


The course emphasizes both business and technical applications, enabling participants to leverage ChatGPT for communication, documentation, analysis, research, software development support, and process optimization while following governance and security best practices.


Duration: 3 days / 24 hours

Delivery Method: Classroom-based, Virtual Instructor Led Training


Course Objectives

By the end of this course, participants will be able to:

  • Understand the fundamentals of Generative AI, Large Language Models (LLMs), and ChatGPT.
  • Apply prompt engineering techniques to generate accurate, consistent, and high-quality outputs.
  • Utilize ChatGPT to improve business productivity through document creation, reporting, communication, and analysis.
  • Leverage AI tools for business analysis, requirement gathering, and process documentation.
  • Use ChatGPT to assist with software development, code generation, troubleshooting, and technical documentation.
  • Perform research, data interpretation, and trend analysis using AI-powered tools.
  • Design and build Custom GPTs tailored to organizational needs.
  • Explore advanced ChatGPT capabilities including document analysis, multimodal features, and AI-assisted workflows.
  • Understand AI governance, security, privacy, and responsible AI practices.
  • Develop strategies for successful enterprise AI adoption and productivity enhancement.

 

 Prerequisites

To maximize learning outcomes, participants should have:

  • Basic computer literacy and familiarity with business applications.
  • Experience using web browsers and cloud-based productivity tools.
  • Basic understanding of workplace processes and documentation.
  • A ChatGPT account (recommended for hands-on exercises). 
  • No programming experience is required, although basic technical knowledge is beneficial for technical modules.

COURSE OUTLINE


Day 1: ChatGPT Fundamentals and Prompt Engineering

Module 1: Introduction to Generative AI

  • Evolution of Artificial Intelligence
  • Large Language Models (LLMs)
  • How GPT Models Work
  • ChatGPT Capabilities and Limitations
  • Enterprise Use Cases

Module 2: Getting Started with ChatGPT

  • ChatGPT Interface Overview
  • Understanding Models
  • Projects and Workspaces
  • Memory and Context Handling
  • File Uploads and Analysis

Module 3: Prompt Engineering Fundamentals

  • Anatomy of a Prompt
  • Context-Based Prompting
  • Zero-Shot Prompting
  • One-Shot Prompting
  • Few-Shot Prompting

Module 4: Advanced Prompting Techniques

  • Role-Based Prompting
  • Chain-of-Thought Prompting
  • Structured Prompting
  • Output Formatting
  • Prompt Optimization

Labs

  • Creating Effective Prompts
  • Prompt Refinement Exercises
  • Business Communication Generation
  • Content Creation Workshop
  • Structured Output Generation


Day 2: ChatGPT for Business and Technical Productivity

Module 5: Business Productivity Applications

  • Email Drafting
  • Executive Summaries
  • Report Writing
  • Proposal Creation
  • Meeting Notes Generation

Module 6: Business Analysis with ChatGPT

  • Requirement Gathering
  • User Story Creation
  • Acceptance Criteria Generation
  • Process Documentation
  • Gap Analysis

Module 7: ChatGPT for Technical Teams

  • Code Generation
  • Code Review
  • Documentation Creation
  • Troubleshooting Assistance
  • Log Analysis

Module 8: Data Analysis and Research

  • Spreadsheet Analysis
  • Data Interpretation
  • Trend Analysis
  • Research Assistance
  • Competitive Analysis

Labs

  • Business Requirement Documentation
  • User Story Generation
  • Code Generation Exercises
  • Research and Analysis Tasks
  • Data Interpretation Scenarios


Day 3: Advanced ChatGPT Features and Enterprise Adoption

Module 9: Custom GPTs

  • What are Custom GPTs
  • Creating Custom GPTs
  • Instructions and Knowledge Sources
  • Sharing and Governance

Module 10: Advanced Features

  • Deep Research
  • File and Document Analysis 
  • Canvas
  • Voice Interaction
  • Multimodal Capabilities

Module 11: Automation and Integration

  • OpenAI API Concepts
  • ChatGPT Integrations
  • Workflow Automation
  • AI Assistants

Module 12: Governance and Best Practices

  • Responsible AI
  • Security Considerations
  • Privacy Controls
  • Prompt Libraries
  • Enterprise Adoption Framework

Labs

  • Building a Custom GPT
  • Creating Prompt Libraries
  • Research Assistant Development
  • AI Workflow Design
  • Final Capstone Project 


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