Description

Introduction
Large Language Models (LLMs) are reshaping workflows across business and technology sectors. This course equips professionals with practical prompting techniques tailored for real-world use cases in operations, analytics, customer service, development, and more. Learn to communicate with AI effectively, automate processes, and generate insights that drive better decisions.

Prerequisites
Familiarity with AI tools or basic experience with ChatGPT or similar LLMs
Understanding of business processes or technical workflows
Comfort with digital tools or data-driven environments

Table of Contents

1. LLMs in the Professional World
   1.1 The Role of AI in Business and Technology
   1.2 Key Capabilities of LLMs for Professionals
   1.3 Common Misconceptions and Pitfalls

2. Prompting Fundamentals Refresher
   2.1 Instruction-Based Prompting
   2.2 Few-Shot and Zero-Shot Techniques
   2.3 Output Shaping and Formatting

3. Prompting for Business Use Cases
   3.1 Market Research and Competitor Analysis
   3.2 Email Drafting, Summaries, and Reports
   3.3 Decision Support and SWOT Analysis

4. Prompting for Tech Use Cases
   4.1 Writing Code Snippets and Scripts
   4.2 System Design and Architecture Diagrams
   4.3 API Documentation and Data Transformation

5. Role-Based Prompting in Business Functions
   5.1 Prompts for Marketing, Sales, and HR
   5.2 Prompts for Finance and Strategy Teams
   5.3 Customer Support Prompts for FAQs and Ticket Triage

6. Prompt Engineering for Productivity
   6.1 Task Automation Prompts
   6.2 Meeting Notes, Action Items, and Scheduling
   6.3 Knowledge Management and Document Search

7. Multi-Turn Prompting for Deeper Engagement
   7.1 Building Dialogue Flows
   7.2 Context Retention and Thread Management
   7.3 Use in Chatbots and Interactive Tools

8. Prompting for Data-Driven Insights
   8.1 Interpreting Charts, KPIs, and Trends
   8.2 Generating Insights from Structured Data
   8.3 Transforming Spreadsheets into Narratives

9. Security, Privacy, and Compliance Considerations
   9.1 Prompting Without Sharing Sensitive Data
   9.2 Legal and Ethical Prompt Design
   9.3 Governance for Enterprise AI Usage

10. Case Studies and Best Practices
    10.1 Successful Prompting in Startups and Enterprises
    10.2 Lessons from Prompting Failures
    10.3 Scaling Prompt Use Across Teams

With the right prompting techniques, business and tech professionals can turn LLMs into powerful collaborators—automating tasks, enhancing productivity, and generating strategic insights. As adoption grows, those equipped with practical prompting skills will lead innovation and efficiency in their domains.