
ChatGPT is an AI chatbot accessible via a web browser that runs on GPT, a language model by OpenAI, enabling text generation, article summarization, code writing, and app building.
Explore large language models and how training data enables word prediction, poem or song generation, and task specific fine tuning, with applications like chatbots and ChatGPT and noting limits.
Trace the evolution of gpt models from gpt-1 to gpt-3, noting parameters and training data. Contrast gpt-3's general purpose design with chatgpt's conversation-focused fine-tuning.
Explore how ChatGPT generates responses through word prediction and training processes. See how supervised data collection, reward modeling, and reinforcement learning shape its human-like, varied replies.
Walk through the ChatGPT interface, from signing up on OpenAI to starting new chats and using templates. The video covers settings, data controls, and upgrading to GPT-4 features.
Explore the basic types of prompts for ChatGPT, including question prompts, feedback prompts, information-with-instructions prompts, writing prompts, and Python code generation, plus prompt engineering.
Master prompt engineering to maximize ChatGPT performance by crafting focused prompts, learning essential techniques, and refining prompts to obtain desired outputs for specific tasks.
Learn the structure of the basic prompt, including the task goal and extra information, and see how role prompting and constraints improve responses.
Explore zero-shot and one-shot prompting with ChatGPT, learn how prompts guide language models without extra training, and see how examples enable few-shot prompting for clearer results.
Explore how few-shot prompting uses task descriptions, examples, and output formats to guide language models in tasks like translation and airport code extraction.
Debias prompts by balancing sample ratio and randomizing sample order in few-shot prompting, using examples of important and spam emails to minimize bias in ChatGPT classifications.
Apply output templates to guide ChatGPT responses using placeholders (name, age, height, weight, birthdate) and book details (name, author, published, length, rating), with role prompts and IPA templates for customization.
Explore role prompting to customize ChatGPT's behavior by starting prompts with 'act as', enabling simulations like job interviews with hiring managers, language tutors, or movie critics.
Discover how perspective prompting harnesses multiple viewpoints to generate tailored solutions, using the office parking space shortage as an example to show how diverse angles yield richer, optimal ideas.
Learn to add personality to prompts by specifying style, descriptors, tone, formality, and domain, and use a knowledge-generation approach to craft more informed AI outputs.
Practice four prompt-based exercises, including advertising an iPhone, turning ChatGPT into a psychiatrist, building a city-population template, and crafting a humorous AI future article.
Explore prompt engineering techniques, including role prompting, to create engaging ads for the latest iPhone with a 60-second YouTube format and a 18–30 target audience with the slogan think different.
Explore contextual prompting to define context and limit topics, guiding ChatGPT to focus on subtopics, shown by four technology events: beginning of the internet, Apple one release, IBM PC, iPhone.
Laddering prompting divides complex problems into sections, guiding ChatGPT with three focused prompts for pivot tables, charts, and formulas in Excel using Python.
Demonstrate chain of thought prompting to improve arithmetic and symbolic reasoning by eliciting intermediate steps before answers. Show how reasoning explanations boost accuracy with examples such as Roger's tennis balls.
Explore zero shot chain of thought prompting to improve arithmetic, common sense, and symbolic reasoning by appending 'let's think step by step' to prompts used with language models like ChatGPT.
Learn to build a customized roadmap for any subject with ChatGPT by first asking what information you need, then tailoring goals, preferences, and learning needs.
Master text summarization using gpt-3.5 and gpt-4, practicing paste-in text, explain like I'm five outputs, and link-based summaries with plugins for efficient content digestion.
Learn to use placeholders and square brackets in prompts, act as an expert on a topic with ChatGPT, and practice for a test with role prompting and multiple choice questions.
Learn to proofread with ChatGPT by correcting grammar and punctuation, while receiving explanations and examples for each correction, using real prompting and placeholders to tailor language and maintain neutral formality.
Turn ChatGPT into a language translator by generating six alternative translations and ranking them from common native-speaker phrases to rarer expressions, to surpass Google Translate.
Explore how vocabulary grows—from reading and listening to dictionary use and real-world practice—and build a laddering prompt that makes ChatGPT an online dictionary, a word database, and a story engine.
Compare ChatGPT Plus and Pro, highlighting GPT five, pro agent mode, and deep research; Pro offers unlimited model access, larger context windows, and more credits for research and automation.
Learn how to enable and tailor custom instructions in ChatGPT to deliver audience-specific, formatted responses by answering two key prompts about you and how you want replies.
Discover how the ChatGPT code interpreter runs Python code in the cloud, handles file uploads and downloads, and enables data analytics, image editing, and pdf export.
Enable gpt-4 code interpreter in settings, then upload files and run python code to generate outputs like odd or prime numbers, noting limits from python and installed packages.
Discover how non-programmers use the ChatGPT code interpreter to perform OCR on images, extract text, create color palettes, edit images, and generate QR codes.
Speak with ChatGPT using the voice feature on the mobile app, available on iOS or Android, enabling conversations on AI, data science, programming, and data analysis.
Build a script gpt that extracts data from websites by specifying target items and exporting results to a csv, using pdf exports and tailored prompts.
Learn to automate GPT workflows by adding Zapier actions, enabling email sending and connections to apps like Google Sheets, drive, and calendar through step-by-step setup.
Learn to scrape websites with ChatGPT mentions by linking scraper and data analyst gpt models to extract data into a csv file, then download and analyze it.
Explore the best GPTs for programmers from the GPT store, including designer GPT for websites, screenshot to code GPT, and code tutor.
Automate boring Excel tasks using two GPTs: data analyst GPT for advanced analysis and Excel GPT for formulas. Upload a CSV, generate quick analyses and visuals, with ready-to-copy formulas.
Explore ChatGPT’s coding capabilities by generating and testing Python code for plotting a linear regression with matplotlib, sending emails and WhatsApp messages, and web scraping with BeautifulSoup.
Learn how to use ChatGPT to generate Python code that automates Excel tasks, such as concatenating 12 files, applying formulas across multiple files, renaming files, and editing CSV data.
Learn how to bypass Cloudflare and CAPTCHAs using Selenium with the Undetected Chromedriver in Python, including step-by-step code and real-world examples.
Learn to enhance a Python email script with ChatGPT code interpreter: attach files, connect to a CSV for multi-recipient sends, and debug for reliable attachments.
Build a Flask and Python web app with ChatGPT to scrape Amazon prices, track price changes, and render results with search and results pages using pandas.
Explore GPT-4o for data analysis by uploading CSV files, creating interactive tables and pivot tables, and building customizable, interactive visualizations from a world population dataset.
Learn to use ChatGPT for data analysis and data science tasks, including pandas joins, SQL queries, Python to R translation, data visualization, text classification, web scraping, and plotting.
Upload and read files with the ChatGPT code interpreter, perform sentiment analysis, and generate word clouds using NLP methods like bag of words and count vectorizer, accessible to non-programmers.
Enable the ChatGPT code interpreter, upload csv datasets, and analyze data with Python and pandas, creating descriptive statistics, charts, and downloadable reports in pdf or jupyter notebook.
Master web scraping with the ChatGPT code interpreter by saving pages as HTML, uploading them, and extracting product names and prices into a CSV. Handle missing data and multi-page results.
Enable the scraper plugin and prompt it to extract YouTube titles, views, and publish dates, then export data as a table; note dynamic loading and occasional failures.
Learn to automate excel reports with the ChatGPT code interpreter by generating Python code for pivot tables, charts, and formulas on 2019 gender spend by product line.
Learn to automate data analysis with the notable plugin in ChatGPT, load datasets, and generate charts and notebooks that visualize population trends and FIFA data.
Learn to scrape websites with ChatGPT using playground version, building prompts that locate HTML elements and extract text from pages like Amazon and Twitter, using Python with BeautifulSoup or Selenium.
Discover a free workaround to upload files to ChatGPT without the code interpreter, using a generated submit button and chunked support for txt, json, csv, css, and js.
Data analysts learn to use ChatGPT vision to upload dashboards, gain quick insights, generate LaTeX for Jupyter notebooks, and understand visualizations like heatmaps.
Discover how ChatGPT handles a real-world data analysis project from data collection to visualization, evaluating scraping limits, cleaning accuracy, and rapid insights.
Learn to set up the OpenAI chat API by creating a secret key, installing the OpenAI library, and using messages with user and system roles to enable interactive conversations.
Learn to perform web scraping with the GPT-4o API by automating screenshots and scrolling with Python and selenium, using base64 images and the OpenAI playground to produce JSON data.
Compare Bard vs ChatGPT on reasoning, creativity, instruction, and speed, highlighting GPT-4 and GPT-3.5 performances through coding questions, script generation, and math problems.
Pandas AI lets you converse with data frames and query data using prompts. Learn to generate plots and pivot tables, and understand its limitations when compared to traditional pandas code.
Discover Jupiter II, a chat user interface for Jupiter Lab that turns prompts into code and notebooks with chat models like ChatGPT, using OpenAI keys and flexible formats.
Discover how GPT Engineer enables building apps from a single prompt, from a snake game to web scraping and websites, with setup, project management, and troubleshooting guidance.
Welcome to ChatGPT Unleashed: The Complete ChatGPT Course. In this course, we will unlock the full capabilities of ChatGPT.
This course is designed to help you master ChatGPT. What makes this course different from the others, and why you should enroll?
This course teaches you how to craft your own prompt rather than listing hundreds of prompts you might never use
This course teaches you the skills to be able to solve your own projects rather than presenting a bunch of projects in areas that don't interest you
You will go beyond ChatGPT's essentials
Here are some things you'll learn in this course:
- What are ChatGPT, LLMs, and the GPT models (GPT-4o, GPT-5, etc)
- How to craft prompts from scratch
- ChatGPT features that you should master
- Prompt engineering
- How to use Custom Instructions
- How to do data analysis on ChatGPT
- How to use Voice and Vision
- How to automate tasks with ChatGPT
- Bonus: How to use ChatGPT for programmers and data scientists (API and tools)
Remember, you don’t need to be an expert ChatGPT user or programmer to take this course, but only the willingness to master ChatGPT.
Enroll in this course today to unleash the full power of ChatGPT!