ChatGPT Masterclass - The Ultimate Guide

Learn how to sign up for ChatGPT and verify your email and phone number, then explore the chat interface and how to write prompts.

Explore the ChatGPT interface overview, core features like search, memory, sharing, and chat organization, and learn practical prompt engineering steps, tone control, and context management across multiple chats.

Explore how ChatGPT searches the web, when it auto-activates or supports explicit searches, view citations and sources, and navigate site-specific browsing, file uploads, and model options.

Explore ChatGPT agent mode, a plus-subscription feature uses a virtual machine to perform tasks like creating shopping lists, managing emails and calendars, and generating PDFs and Google My Maps itineraries.

Enable voice mode in ChatGPT to talk with your microphone and start a new chat. Grant microphone access, choose a voice, store conversations, switch voices, and end the chat.

Learn how to upload files and images to ChatGPT four, attach PDFs from Google Drive or computer, and get summaries or insights from documents and images.

Learn to create and refine images in chatgpt using prompts, edit with selection tools to add elements, view prompts, and apply styles or midjourney parameters for realism.

Explore the canvas feature to interactively edit and co-create with ChatGPT, combining an in-document canvas with chat, editing parts, undoing changes, adjusting length, reading level, and final polish.

Explore using canvas in ChatGPT as a live code editor for interactive game coding, debugging, and porting to HTML and JavaScript.

Explore how ChatGPT outputs formats such as lists, bullet points, tables, and blog-style content, and learn to format outputs with headings, bold text, and prompt engineering for practical use cases.

Explore how to use temporary chats in ChatGPT, toggle on, and keep conversations out of history and memory, with 30-day retention for general chats and no model training.

Explore how ChatGPT memories personalize responses by storing preferences from prompts and context. Manage these memories across chats, adjust or delete them, and control activation and tone settings.

Organize chats, files, and instructions with color-coded projects in ChatGPT. Attach files like CSVs, move chats into projects, and set guidance for a financial assistant.

Learn practical tips to use ChatGPT effectively, including crafting prompts, specifying output formats, and applying it to summarizing texts and creating formats like bullet points and tables.

Create a detailed article style guide by analyzing style, tone, and format, organizing insights into categories, and applying it to writers and future articles.

Manage your chat history by archiving, unarchiving, or deleting chats, including archiving all chats and permanent deletion after 30 days by OpenAI.

Learn the essential skill of prompt engineering to maximize ChatGPT results, explore the CETO process, craft follow-up prompts, and get tips to improve prompts for better outcomes.

Learn how prompt engineering turns input into reliable ChatGPT results by crafting quality prompts, avoiding garbage in, garbage out, and achieving thoughtful input with impressive output.

Learn to craft prompts using the CETO model—context, expert persona, task, and output—to improve prompt quality and achieve impressive results.

Define prompt context by outlining the goal, audience, and a metric such as conversion rate to guide responses. Set a clear expert voice to tailor outputs like a LinkedIn post.

Launch ChatGPT responses by assigning an expert persona and a task, then tailor the voice with prompts such as act as an expert marketing manager.

Master the task step of the CETO process by defining a verb and clear objectives. Add specific instructions, voice, inspiration, or browsing options to tailor prompts and examples.

Learn how to shape ChatGPT output using the CETO process, choosing length and format such as tables. Apply limits like under 90 words and practice follow-up prompts.

Discover how follow-up prompts act as context-aware prompts that recall prior conversation to refine tasks, such as building a textbook outline on flower arranging.

Master the prompt generating prompt to craft tailored, iterative prompts for ChatGPT. Learn to use context, three sections (revised prompt, suggestions, questions), and practical demonstrations for consistent results.

Explore zero-shot, one-shot, and few-shot prompting techniques to improve ChatGPT responses by using examples to increase accuracy and output quality.

Specify an output format to elicit accurate responses, using exact templates. Combine with one-shot prompts to control structure, such as lists, tables, and budgets.

Master the technique of sequential prompting to break complex tasks into smaller steps, confirm steps with the user, and execute them step by step to generate a tailored content plan.

Learn how ask-to-respond prompting guides ChatGPT to ask clarifying questions, tailor outputs for data analytics tasks like data visualization, Power BI, and data warehousing, and deliver focused blog content.

Learn the self-improving prompt technique that delivers quality responses with minimal questioning, using iterative suggestions and one-click improvements to refine outputs, highlighting SQL commands and indexing trends.

Learn how to specify and convert output formats, including CSV, JSON, XML, and markdown, and how to generate data for use in Power BI, Excel, or similar tools.

Explore ChatGPT Plus, the paid version with an advanced language model, and learn how to sign up, compare features, and use plugins, code interpreter, custom instructions, and web access.

Compare the free GPT-3.5 version with the paid ChatGPT Plus (GPT-4), noting features like code interpreter, multimodal uploads, plugins, and custom instructions.

Explore image recognition in GPT-4's multimodal chat, uploading images—from whale sharks to text-in-images—while solving arithmetic, identifying dishes, and generating visuals.

Discover how ChatGPT Plus adds image input and voice conversations on mobile and browser, creating a multimodal tool. Learn to enable beta voice features and transcription storage.

Discover how chatgpt's image input with GPT-4 identifies objects and exact species, like a whale shark, and enables solving exam problems, generating recipes, and drafting website code.

Learn to convert a dashboard design image into HTML, CSS, and JavaScript code, generate the site from visuals, and run it in Visual Studio Code with dummy data.

Explore how ChatGPT's code interpreter handles documents, datasets, images, and media to analyze data, create visuals, and perform data cleaning.

Explore how custom instructions let you save context, create personas, and tailor responses for educational programs for software developers, formatting in tables, with setup steps and beta notes.

Discover ChatGPT's code interpreter sandbox that writes and runs code with feedback loops, enabling Python coding, data science tasks, photo editing, and basic games using uploaded files.

Explore how the code interpreter in the plus subscription runs Python code in a chat, from hello world to personalized greetings via f-strings, file uploads, and simulated input.

Edit and create media with the code interpreter, trimming videos, adding slow motion and subtitles, and generating downloadable outputs like GIFs, QR codes, collages, and WebP-optimized images.

Learn to build a Python helicopter game with the code interpreter and Visual Studio Code. Implement the game window, helicopter sprite, mouse controls, obstacles, and a high score.

Utilize the code interpreter for bulk generation by uploading files, with ChatGPT answering questions and creating occupation-tailored emails, culminating in downloadable outputs.

Explore the technology behind ChatGPT, its large language models and neural networks, and the multi-layered brain driving its functionality, with insights into future developments and societal impacts.

Explore the foundation of ChatGPT, including large language models, transformer architectures, encoder-decoder schemes, and the attention mechanism that powers natural language generation.

Explore the transformer model behind Chat GPT, including encoder and decoder layers, multi-head attention, and the role of queries, keys, and values in producing context-aware text.

Explore how ChatGPT tokenization powers language understanding by breaking text into tokens using bite pair encoding, handling unseen words and vocabulary. See token probabilities in action via the playground.

Explore how ChatGPT learns through pre-training on vast text and code, then improves with human-guided fine tuning to align responses and enable task-specific use.

Examine the technological limits, processing power, training costs, and bottlenecks in ChatGPT. Analyze societal effects, including biases, hallucinations, transparency issues, and potential job market impacts.

Explore how artificial intelligence, including ChatGPT, reshapes the job market, automates mundane tasks, and prompts new roles, while balancing risks and the need for learning.

Master signal prompting to steer large language models through cues and associations, enabling targeted lists, brainstorming, and creative outputs without explicit instructions.

Explore how chain of thought prompts and step-by-step reasoning improve ChatGPT accuracy, with concrete examples that produce correct answers and better problem solving.

Explore the OpenAI playground as an alternative to ChatGPT, adjusting model parameters and using OpenAI APIs for fine-tuned prompts. Grasp pricing per input and output, and token basics.

Explore the different chat modes—standard, edit, and complete—learn how mode choices affect outputs, view token probabilities, and use speech-to-text with Whisper.

Explore how the temperature parameter controls randomness, producing deterministic outputs at low values and more creative results at high values, illustrated via token probabilities and model context.

Set a maximum token length to control generation cost and output length, and use stop sequences to structure responses, stopping after phrases like '6.' or 'Cleopatra'.

Explore the top p parameter and nuclear sampling, and learn how it controls diversity and word cutoff in text generation, affecting creativity and determinism.

Learn how frequency and presence penalties control repetition in language models, reduce topic reuse, and apply these weighted parameters for prompt engineering and OpenAI API usage.

Explore specialized model presets, save a teacher preset, and browse examples like grammar correction, emoji translation, mood to color, emoji chatbot, and natural language to SQL in the playground.

Explore how ChatGPT empowers business professionals across industries with AI tools to boost productivity and time management, master text summarization, understand text fast, and gain insights from videos.

discover three tricks to understand texts quickly with ChatGPT: summarize key points up to 3000 words, listen to audio summaries, and pinpoint actionable items for your role.

Learn to convert video scripts to text with extensions like YouTube and Article Summary. Summarize into five bullet points focused on leadership.

Learn to reply to emails efficiently by using a personal style template, analyzing past messages, and adjusting tone (urgent or appreciative) with recipient fields, powered by ChatGPT.

Learn to integrate ChatGPT into email with the ChatGPT Writer Chrome extension, generating and inserting replies directly, while customizing templates, tone, and style for seamless, efficient drafting.

Explore how to install and use GPT for Sheets to embed ChatGPT in Google Sheets, generate data, slogans, and lists, and manage OpenAI API keys and costs.

Explore ChatGPT's language support and translation capabilities, including tone adjustments, pronunciation aids, and acting as a personal language tutor to improve cross-cultural communication and multilingual outreach.

Boost your productivity by using ChatGPT as a personal task manager, for time blocking and scheduling, prioritizing to-dos, crafting meeting invitations, and optimizing repetitive tasks.

Learn to clean, manipulate, organize, and summarize data with ChatGPT, extract key insights, and create data visualizations and summaries to work faster and more efficiently.

Learn how to clean data with ChatGPT by generating Python and MySQL code to remove missing values, drop duplicates, and standardize formats for large and small data sets.

Clean a small dataset in chatgpt by pasting a messy csv, fixing spelling and duplicates, and converting to a table; use targeted prompts to standardize addresses and state abbreviations.

Explore basic data reorganizing with ChatGPT by sorting data, adding and removing columns, and generating code, using prompts on a tall buildings dataset with name and height columns.

Set up Python and Anaconda to run Jupyter notebooks for exploratory data analysis, then use ChatGPT to assist with data science tasks and skill extraction from data science CSV.

Read a csv into a pandas data frame, store it as data, inspect columns, and use ChatGPT to generate code for exploring salary data by job title.

Group job titles into broader categories, map them to a job category column, and visualize category distributions with counts, adapting axes and filtering unreliable data.

Explore how to use ChatGPT for idea and code generation to create visualizations, from salary distribution histograms to industry and sector pie charts, with data cleaning and improved aesthetics.

Explore applying design principles with ChatGPT, create custom instructions for consistent design, and generate color palettes and modern dark-theme visuals for Python visualizations.

Apply an end-to-end machine learning workflow with ChatGPT guidance to predict student dropout, graduate, or enrolled, using data exploration, preprocessing, feature selection, and random forest feature importance.

Explore feature selection, compare models, train and evaluate with test data, and optimize model selection through hyperparameter tuning using grid and randomized searches.

Leverage the code interpreter to upload a dataset, perform exploratory data analysis, and build a prediction model with preprocessing, feature selection, scaling, and model evaluation.

Apply design principles using the code interpreter to perform exploratory data analysis, following custom instructions for color palettes, modern dark-theme visualizations, and specific packages.