ChatGPT Crash Course: Introduction to ChatGPT for Work

Explore zero-shot prompting and other basic techniques as building blocks for advanced prompts. Learn text insertion, question and answer, classification, summarization, conversation, reasoning, and translation to craft versatile prompts.

Learn text insertion using an insert operator to place words at a chosen point, such as patriarchy, and identify onomatopoeia like hiccups and sizzle.

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.

Explore text classification with ChatGPT by categorizing text as positive or negative, handling individual and list reviews, and presenting results in a table with optional reasons.

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.

Learn to use ChatGPT for article summarization, refine outputs to concise formats, including bullet points, and explore AI safety concerns and breakthroughs in mathematical reasoning.

Discover how ChatGPT supports work conversations through a playful rap battle, showcasing interactive dialogue, back-and-forth critique, and the machine's knowledge as a learning partner.

See how ChatGPT reasons through novel problems, like the age puzzle where your sister is four years younger and will be 66 at 70; learn using few-shot prompts.

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.

Master basic prompting techniques with ChatGPT to tackle an SAT assignment, render equations in LaTeX for readability, and extract raw LaTeX in a code block for submission.

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.

Learn to shape AI responses by creating a clear identity and task definition, using act as prompts, Gen Z or professor personas, and action verbs for thorough, structured outputs.

Provide context and specify output tone and structure to guide ChatGPT tasks; learn how audience, step-by-step instructions, and prompt structure shape clear, organized responses.

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.

Apply prompting principles to build advanced prompts by composing a Seinfeld plotline, including identity, task, context, and tone; iterate with feedback to improve and finalize ChatGPT outputs.

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.

Finish building advanced prompts and master the building blocks of prompt engineering for work. Prepare to explore advanced prompting techniques that will elevate your prompts in the next section.

Explore how delimiters define boundaries in prompts, support multi-part prompt structure for LMS, and guide language models by clearly signaling delimiters.

Learn to use variables in prompts to dynamically substitute values in a large language model, enabling modular, flexible, bulk-friendly, efficient interactions.

Learn few-shot prompting by embedding examples within prompts, using question-answer pairs to guide responses and preview chain-of-thought methods for reasoning tasks.

Enter a news article into chatgpt, then prompt it to read and answer questions, extracting facts like 900 billion debt due and a 29.5% vacancy rate in downtown San Francisco.

Master extracting next steps from a meeting transcript with ChatGPT and drafting concise bulleted emails for project teams.

Learn to convert a marketing brief into an on-brand Twitter campaign, detailing objectives, goals, target audience, and strategy, then generate five days of tweets with emojis and a safety disclaimer.

Discover how to update a cover letter with a job description using ChatGPT, extracting the role and keywords and rewriting it in a professional executive tone.

Explore how to critique arguments from multiple perspectives using ChatGPT, analyzing residential, commercial, funding sources, and safety considerations for urban redevelopment like converting downtown offices to student housing.

Use ChatGPT for marketing and UX research by building customer personas—professional, lifelong learner, entrepreneur, and hobbyist. Detail demographic data, psychographic information, professional details, and personal tastes to drive campaigns.

Learn to use ChatGPT as a UX research and design assistant to map the hotel booking user journey, outline wireframes, and define MVPs with user interviews and metrics.

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.

Label keywords into category buckets such as shoes, ropes, chalk, and harness and gear using ChatGPT. The demo shows how labeled data enables meaningful aggregation for machine learning models.

Translate data into code with ChatGPT, turning vertical analysis into a SQL table or a pandas data frame. Help non-technical users generate and copy code for SQL or Python.

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.

Microsoft Copilot, an AI-powered assistant built on GPT-4, boosts productivity across the office suite by drafting documents, analyzing data, creating presentations, and managing meetings.

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

Using Bing Chat (Copilot) to research current events, this lecture demonstrates sourcing with robust footnotes and discusses the Supreme Court ruling on affirmative action in college admissions.

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.

Use Bing Chat to plan trips with real-time data, exploring Louvre exhibitions, hours, ticket costs, and transit options to streamline Paris travel planning.

Learn to use the Microsoft Edge Copilot sidebar to query an MD Anderson chemotherapy guide, pull page citations, and restrict results to the MD Anderson domain.

Discover how Microsoft Copilot for 365 extends Copilot Pro with enterprise access for business and educational users, leveraging Microsoft Graph and a semantic index to search authorized organizational data.

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.

Explains how Microsoft semantic index and Microsoft Graph power Copilot by grounding prompts, checking user permissions, and accessing enterprise data for a safer, privacy-conscious language model experience.

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.

Clean a messy grocery store sales ledger using the code interpreter and ChatGPT by removing blank rows, filling missing dates, and computing sales amounts from quantity and price.

Learn to visualize a US housing dataset using the code interpreter, creating line charts, moving averages, and residuals, with interactive and static chart options for analysis.

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.

Learn to perform regression analysis with the code interpreter on a height-weight dataset, computing the correlation coefficient and regression line, then plot the scatter with the line of best fit.

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.

Turn a panorama into a mobile-friendly mp4 video with a 9:16 aspect, using the code interpreter to pan from right to left with an eight-pixel frame step, then export.

Translate content from an image by first transcribing Korean text with ChatGPT's multimodal model, then translating it into English.

Uncover how Copilot's multimodal model generates marketing-friendly image metadata, including title, alt description, and caption, to boost accessibility and searchability for products.

Explore interpreting humor in memes using a multimodal model, as a meme contrasts weekend excitement with an unfinished timesheet to reveal relatable work-life balance humor.

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.

Convert a flowchart to a Python program using a multimodal model, implement odd/even logic with clear error handling for non-numeric input, and run the code online.

Extract table data from images with a multimodal model and convert it into a table. Analyze the data with a pivot table and visualize applicants and hires by school.