Welcome to the 2-day Prompt Engineering for Business Users Course! This exciting and cutting-edge course shows you how to master prompt engineering to get the most out of artificial intelligence. You will explore the best ways to craft your prompts and how to employ the many extra AI components now available on desktops/laptops, such as plugins, APIs, and visualizations. You’ll also practice using corporate files responsibly to maximize business insight and value. Prompt Engineering for Business Users Course Benefits In this course, you will learn how to: Get the most out of large language models using chain-of-thought, perspective prompting and reverse prompting techniques. Explore the versatility of AI tools with hands-on experience with plug-ins, API integrations for spreadsheets, seamless business file uploads, and dynamic data visualizations. Master advanced prompting strategies and gain real-world proficiency in crafting and deploying prompts for business applications applicable across diverse industries, including marketing, competitor analysis, and recruitment. Training Prerequisites A basic knowledge of prompting from ChatGPT, Claude, Bing or Bard Prompt Engineering for Business Training Outline Module 1 Introduction to GPT-4 Overview of GPT-4 architecture, training data, model size GPT-4 performance on various NLP tasks Considerations for prompt length and complexity with GPT-4 Use cases like long-form content generation, reasoning tasks Module 2 Leveraging Plugins Demonstrate top plugins like World News, Zapier Install plugins directly or through Extension Manager Use plugins for keyword highlighting, examples, formatting Plugins for code generation, spreadsheet functions Module 3 Uploading Multiple Files Upload PDFs, Word docs, and spreadsheets for context Optimal formatting and highlighting of uploaded docs Limitations on the number and size of uploaded files Strategies for multi-file prompts with summaries, citations Module 4 Generating Visualizations Prompting for graphs, charts, diagrams Choosing visualization design, data format, level of detail Techniques for clear axis labels, legends, colors Creating Dashboards through prompts Module 5 API Integration Python libraries like Anthropic's Claude API Setting up the environment, authentication, and making API calls to Google Sheets Passing inputs processing outputs in Python Building end-to-end workflows with Python + prompting Module 6 Advanced Prompt Engineering Exercises Business case examples like market analysis, HR screening Engineer progressive prompts and iterate based on results Peer feedback on clarity, effectiveness, completeness
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