ChatGPT Crash Course: Introduction to ChatGPT for Work

Learn question-and-answer workflows with a language model, including asking what is psychology and listing subfields such as clinical, cognitive, and educational, then format responses as a table for user experience.

Learn to extract specific information from text using a large language model, pulling names and bodies of water such as Hudson, Lake Travis, Havasupai River, and the Great Salt Lake.

Discover how ChatGPT translates text across languages and tones, turning phrases into Spanish, pirate English, and professional business English through targeted prompts.

Engage in optional hands-on assignments with Beehive Learning to practice prompting and AI tools using LMS, via a four-step interface—instructions, submission, instructor example, and feedback—and study instructor solutions.

Finish the basic prompting techniques section and advance toward becoming a great prompt engineer. If you’re enjoying the course, leave a review and join the next section.

Discover prompt engineering: craft prompts to guide ai language models, boost creativity and accuracy, reduce biases, and rely on human review and reliable sources to avoid garbage in, garbage out.

Master advanced prompts by establishing identity, defining a clear task, providing context, specifying output style, and iterating to guide ChatGPT as a task-focused assistant.

Explore why iteration matters when prompting non-deterministic LMS like ChatGPT, compare deterministic calculators to dynamic models, and refine prompts through iterative prompting to clarify intent and reduce ambiguity.

Learn to craft prompts by defining identity, task, context, and tone. See how to iterate a Seinfeld plotline centered on one character, applying prompting principles to improve humor.

Conduct a competitive landscape analysis for the paint industry using ChatGPT as a data analyst, comparing PPG, Sherwin-Williams, and AkzoNobel on revenue, revenue streams, markets, competitive advantages, and independent retailers.

Use ChatGPT to perform descriptive data analysis on a monthly Christmas tree search dataset, describe trends like December peaks, and generate GPT-4 driven yearly insights with a markdown table.

Apply a vertical analysis to Udemy and Instructor Holdings income statements, converting items to revenue percentages to compare gross margins, expenses, and net losses and explain stock price movement.

Explore Copilot in the browser and sidebar, mastering chat versus notebook, threads, prompts, citations, and plugins to organize, share, and customize your AI workflow.

Discover how the Copilot desktop sidebar converts a screenshot of a spreadsheet into a table, then exports it to a web-based Excel and downloads a copy to your computer.

Explore the Microsoft 365 Copilot interface, learn to access enterprise data by adding people and files for better results, and run a first query to summarize your meetings this week.

Enable the chatgpt code interpreter to write and execute Python code for data tasks, explore the interface, and generate a ten-row dataset with uuid, phone, and email, plus CSV download.

Perform exploratory data analysis on a climbing dataset with code interpreter, cleaning and visualizing search volume by product and brand, noting non-brand dominance and La Sportiva, Petzl, Black Diamond, Scarpa.

Explore how linear programming maximizes total revenue under constraints using a two-product example (t shirts and tank tops) with decision variables and an objective function.

Explore how copilot's multimodal model identifies objects in an image, such as jasmine. See how ChatGPT analyzes the scene to describe the flower and its warm environments.

Explore solving trig and economics problems with ChatGPT: use area formulas to find x and derive marginal utilities, illustrating data extraction from images and step-by-step problem solving.