
Explore what a computer and software are, how software interacts with hardware, and why coding matters, including IDEs and APIs used to write code.
Trace the history of computers from abacus and Antikythera to Babbage and Turing, and learn that a computer is an electronic device that processes data with hardware and software.
Explore how software works, from system and application software to boot processes, CPUs, RAM, and drivers, and understand compiled vs interpreted languages and user interfaces.
Explore internet essentials from IP addresses and domain names with DNS to packets, routers, servers, and clients, covering web, email, streaming, social media, and internet safety basics.
Explore the basics of coding by setting up your development machine, installing Python, and configuring Visual Studio Code to write your first Python snippets and build programs.
Begin programming with an introduction to Python and set up your environment, including your IDEs and Python installation, and start coding.
Install python from python.org, choose the latest version, ensure add to path during installation, then verify by running python in your command prompt or terminal.
Install and launch Visual Studio Code, install the Python extension and Prettier, customize monarchy theme, explore Extensions and Explorer, then create and run a Python file such as Hello World.
learn to write your first Python program using the easy GUI library in vscode, install via pip, and display GUI messages with msgbox while exploring variables and strings.
Learn how to input commands with enter box in Python, capture user names with variables, store and display values using string concatenation, and follow snake_case naming conventions.
Create a five-question Python questionnaire using easygui input boxes and a message box, then display answers with an f-string formatted summary, teaching input handling, multiline strings, and neat output.
Build a simple login form using Python conditionals. Learn to validate username and password with if else and indentation, and understand correct user and correct password checks.
Explore how to create a button box with color choices in Python, using lists and tuples, and control flow with if, elif, and else to handle user input efficiently.
Explore lists and tuples in Python, including indexing, appending, and popping, and learn to use easy gui's button box to select items from a shopping list.
Learn how to implement while loops in Python, using a run boolean to repeat actions like a rock-paper-scissors game, prompting to play again, and distinguishing from if statements.
Explore for loops in Python, contrasting them with while loops, and learn how to use range, start, stop, and steps to build lists, iterate colors, and generate numbers.
Explore how to define and call functions in Python using the turtle library with the def keyword, creating shapes like squares, triangles, and polygons with flexible arguments.
Master object oriented programming in Python by defining classes, adding properties with __init__, creating animal objects, and looping through a list to generate messages.
Build a Python class with length and num attributes and a drawing method using turtle. Use a loop to compute angles, move the pen, and render varied shapes and positions.
Launch a pygame-based Python project to build a Pac-Man style maze game by importing pygame, creating an 800x600 window, loading sprites, and handling keyboard movement with a clock.
build a pygame style game with a base sprite class, a player and an enemy, loading and scaling images, updating rect-based movement via keyboard input and win/lose messages.
Learn to build a Python game with walls and a treasure using object oriented programming; implement hero, enemy, and wall sprites, collision-based win/lose conditions, and adjustable screen size.
discover git and GitHub version control and learn how to use them effectively as a beginner, getting started quickly and confidently.
Install git on Windows, Mac OS, and Linux, and learn branching, merging, and commits. Set up GitHub and practice collaboration with GUI and terminal tools.
Create a GitHub repository, initialize a local git repo with git bash, commit changes, configure user details, and push to main for collaborative coding.
Explore Git and GitHub as a version control system for tracking file versions, committing changes, and pushing code to collaborate and build your portfolio.
Create an HTML5 page with doctype html, html, head, and body, including a title. Use h1 to h6 headings, a paragraph, a button, and divs to structure content.
Learn the basics of adding css to your code, including in the head styling, targeting the body with hex colors, font-family, flex centering, hover button effects, and container styling.
Create a basic interactive web page using HTML, CSS, and JavaScript to update text and change colors with onclick events. Learn DOM targeting with getElementById and querySelector and basic debugging.
Create an index.html with doctype, html, head, and body, and link styles.css and scripts.js. Add a div box and a button to trigger a transform animation moving a green square.
Explore wiring JavaScript to HTML buttons to start animations on an animate box by id, using getElementById, classList.toggle, and CSS transforms (translate, scale) plus color changes.
We touch the surface of web development with HTML, CSS, and JavaScript, and point to deeper courses for more detail.
Jump into Scratch as we introduce the basics, set up Scratch on your machine, and start building a video game right away.
Explore scratch setup with desktop download and online use; learn to install scratch on Windows, create an account, and compare web-based versus desktop setups.
Learn to build an interactive Scratch game by using motion, events, and clones to make a flying cat follow the mouse pointer, collect stars, and score points.
Create a scratch game by adding enemies and clouds, using clones and random cloud positions, and moving objects across the screen. Implement win/lose with score, lives, broadcasts, and backdrops.
Create a simple scratch game with an ultra video for the scratch section, sharing fun and progress together, while the instructor invites you to future scratch courses.
Explore AI powered coding with tools like ChatGPT, GitHub Copilot, Tabnine, and Sourcegraph, through high level overviews, setup steps, and practical use cases for developers.
Explore getting started with ChatGPT for programmers, sign up on openai.com, log in, and learn to build live web apps, fetch data, and render with React.
Learn to make api calls with chatgpt using the playground and api window, set system prompts for web development, and generate code for a to-do list app.
Learn how to use chatgpt for API calls and debugging, build a Node.js express app with REST CRUD and JSON placeholder, and troubleshoot module not found errors.
Debug local environment errors with ChatGPT, install node-fetch, and resolve ES module and require issues. Spin up an Express server on port 3000 to fetch /posts and render data.
Discover how to use React JS with Axios and ChatGPT to fetch and render posts from a local server, with debugging, port setup, and JSON placeholder data.
Explore how ChatGPT helps programmers with public docs, playground, and API calls. Host a simple server, fetch data, and use middleware to address cross-origin requests.
Explore GitHub Copilot, a VS Code extension that provides code completions and natural language prompts for JavaScript and TypeScript, and learn to build an Express.js server inside the IDE.
Install and sign in to the VS Code GitHub Copilot extension, then prompt Copilot to generate code, run Node index.js, and explore hello world and simple variable demonstrations.
Generate starter data with GitHub Copilot by creating a data.js module exporting an array and importing it into index.js for server rendering.
This lesson shows how to use GitHub Copilot to spin up an Express.js server with middleware, serve locally generated data, and prepare a static index.html to view it.
Use GitHub Copilot with an Express.js server to render a static index.html and fetch dummy data from localhost:8080 to display a dynamic list.
Discover how GitHub Copilot assists programmers, from setup and VS Code extension installation to generating starter data with NLP and serving it via an Express.js server and static website.
Learn how Tabnine, an AI programming assistant, integrates with editors like VS Code, IntelliJ, and PyCharm to provide context-aware, cross-language code completions by analyzing your project codebase.
Learn to install and sign in to Tabnine in VS Code, activate the AI assistant, and explore the starter and free versions while comparing Tabnine with GitHub Copilot for code completion.
Discover how to set up a JavaScript project with npm, install and use jest for unit testing, and build and test a factorial function with Tabnine autocomplete.
Build and test an express server with Node.js, using Tabnine for AI autocomplete, and verify endpoints with jest and supertest to ensure JSON responses and proper error handling.
Explore Tabnine's AI programming tool, its VS Code extension, and starter versus Pro features, compared with GitHub Copilot. Practice unit testing in JavaScript with Express.js factorial example and authentication middleware.
Explore Sourcegraph, an AI powered code intelligence tool that enhances code exploration across large repositories with intelligent search, navigation aids, and contextual code suggestions.
Discover how to set up Sourcegraph with VS Code extension, log in with an API token, and use Cody to explain code and generate unit tests within your existing project.
Explore how Sourcegraph code and Cody enhance AI-powered coding by explaining selected code across multiple files, in VS Code, and generating high-level or detailed-level insights to spot code smells.
Explore Sourcegraph's smell code feature with Cody to identify and fix code smells, improve error handling, and generate unit tests while mitigating vulnerabilities like SQL injection in a note-taking app.
Generate a unit test for a Node.js server route using Sourcegraph and supertest in VSCode to validate the note router endpoints return a 200 status.
Explore how Sourcegraph empowers large teams to manage big code bases by explaining, smelling, and generating unit tests within the VS Code extension.
Explore AI programming tools for developers, from VS Code extensions and GitHub Copilot to OpenAI, Tabnine, and Sourcegraph, plus Python, JavaScript, TypeScript, Solidity, and Jupyter notebooks.
Explore generative AI and prompt engineering, showing how ChatGPT models generate text, images, and music from hints, while prompt design shapes outputs for coding with GitHub Copilot and Codex.
Generate images with ChatGPT using Dall-E models trained on internet data, and explore creative outputs and image limits in the free version.
Discover how ChatGPT generates React code samples for a simple to-do list project, and set up with NodeJS, npm, and Create React App, including the project structure.
Build a React to-do list app from scratch by wiring the to-do and to-do list components, managing state for adding, toggling, and deleting items, and styling with app.css.
Explore GitHub Copilot as an AI assistant using large language models and GPT libraries to provide coding advice, templates, and faster development in IDEs like VS Code or Visual Studio.
Install the GitHub Copilot extension in VS Code, explore its AI-powered code suggestions and interactive chat, manage extensions with the marketplace, and sign in for a 30-day free trial.
Explore solidity basics and blockchain concepts with GitHub Copilot in VS Code, learning how smart contracts on Ethereum are explained and enhanced by AI-powered code suggestions.
Explore building a Python Dash Plotly app in VSCode with GitHub Copilot, using the Dash framework for data-driven, interactive web visualizations and proper Python virtual environments.
Learn to build a dash plotly app from scratch by setting up a virtual environment, installing libraries, creating app.py, and running a debuggable server on localhost:8050 with interactive charts.
Explore using copilot to explain dash plotly app code, selecting lines or whole files by cursor, and see how imports and sections are summarized with references to dash plotly documentation.
Learn to download CSV files and load them into a pandas dataframe using Python, Jupyter Notebook, and Visual Studio Code, with iris data and basic data exploration.
Explore a dataframe in Python using pandas: generate a summary with describe, view mean, std, and percentiles, and check for missing values and duplicates in a CSV dataset.
Explore using GitHub Copilot to build a JavaScript stock market watch app, creating HTML, CSS, and app.js, and fetching data from Alpha Vantage or Yahoo Finance with an API key.
Explore Tabnine, an AI coding assistant like GitHub Copilot, to generate code explanations and docstrings within VS Code, review code, and create documentation with free and paid plans.
introduce Sourcegraph and its Cody ai assistant, offering real-time code hints, code-base search, insights into code quality and smell; install vscode extension and sign in with microsoft or google accounts.
Discover how the Cody AI assistant identifies code smells and generates unit tests to validate apps. Learn practical tips like modularization, using constants, data validations, f-strings, and docstrings.
Capstone project: build a weather forecast app in TypeScript with GitHub Copilot, featuring a weather interface and a service that fetches data from a weather API.
Install and initialize a React app in VS Code using create-react-app, es7 react snippets, Copilot, and prettier, then scaffold the project and render hello world.
Set up a React component-based architecture by creating a components folder and a home component as the entry point, wiring app.js and index.js for a ChatGPT clone.
Build a React chat app by turning the home component into an interactive entry, wiring an on click event and a start chat prop to render the chat window.
Build the chat window by implementing a message component and a loading indicator, wire props for sender and text with left-right alignment, and plan state for messages, loading, and input.
Build a React.js chat window component for a ChatGPT clone, managing messages, loading, and input state, rendering messages with a loading indicator and a submission form.
Build a chat input in a React app by handling input and submit, preventing default, and wiring an async send message with loading state and useEffect for API calls.
Build a React chat app with the ChatGPT API using axios, posting with headers and data to GPT-3.5-turbo, and useState and useEffect to manage and save messages to local storage.
Implement localStorage in a React chat app to save and load chat history, ensuring persistence across refreshes while calling the OpenAI ChatGPT API with Axios.
Secure API keys by adding the .env file to gitignore and using environment variables in a React.js chat app with the ChatGPT API and Axios.
Learn to implement a React error boundary as a class component to gracefully handle API errors in a ChatGPT clone, using getDerivedFromError, componentDidCatch, and conditional rendering.
Learn to style a React app with CSS, applying global resets and modular classes for the home page and chat window to create a mobile responsive interface.
Learn to style and animate a loading indicator in a React JS app using a CSS spinner and keyframes, interfacing with OpenAI's ChatGPT API.
Deploy a ReactJS ChatGPT clone to Vercel by syncing with GitHub and deploying from main, with the OpenAI key as an environment variable for a mobile-friendly production build.
Demonstrate a mobile-responsive chat app demo powered by an AI language model created by OpenAI, showing how to chat, ask questions including help with homework, and use persistent local storage.
Explore how ChatGPT from OpenAI speeds up coding, fixes bugs, and boosts development, then learn to build a ChatGPT clone, work with its API, settings, features, and GPT models.
Identify and prepare the essential tools for the course, including OpenAI documentation, PyCharm, Visual Studio Code, Python, and Node.js, with guidance on when to install.
Before starting, ensure coding experience in any language and familiarity with basics like variables, loops, and functions; API, JSON, and HTTP concepts help, but willingness to learn is essential.
Register for the ChatGPT API, create and secure a secret API key, and learn to view usage and manage credits to avoid charges.
Learn how to use Python to interact with the ChatGPT API, with a valid API key, using PyCharm, starting from dynamic prompts and advancing to parameter handling and interaction styles.
Conclude this section with basic Python interactions with ChatGPT, mastering the OpenAI library, parameters, and API key management, and previewing how to build your own ChatGPT API in Python.
Learn to build a FastAPI API from scratch to interact with ChatGPT, create endpoints like /chat, post prompts, and return the model's responses.
Learn to build your own api with FastAPI in Python, and integrate ChatGPT to connect users to your api, which talks to OpenAI.
Build and refine your GPT API by connecting fast API to ChatGPT, mastering basic API interactions in Python, and preparing for upgrades and data validation improvements.
Create a React project in Visual Studio Code with Node.js to build a GPT chat clone; explore what React is and how to implement ChatGPT with a similar UI.
Learn to build a chatgpt clone with react from scratch, including project setup, component-based UI, and axios-powered requests to a local api for chat interactions.
Enhance a react chat interface by styling the ChatGPT clone, ensure messages display, add a dark theme, and enable mobile responsiveness for a polished, user-friendly user interface.
Build a ChatGPT clone with a connected back end and front end. Use context and simple prompts to generate styled, centered UI via Axios.
Create your own gpt model through fine-tuning with your data, using jsonl prompts and completions. Select a base model, upload training data, and deploy via OpenAI fine tunes.
Learn how to choose a specific model for a task in ai powered coding, and understand when and why to use it in ChatGPT.
Balance cost and capability by starting with a middle model like Curie or Babbage rather than DaVinci, and tune temperature and settings for your task.
Discover how to pick the right GPT model for your task by weighing complexity and cost, from 3.5 turbo to DaVinci, Ada, and other models, including fine-tuning considerations.
Choose the right model and tune settings to balance cost and performance. Start in the middle with Curie or GPT-3.5 turbo, adjust up or down, and avoid Ada.
Master ai powered coding by building apps with python and fast API, creating a react app completely with ChatGPT, and fine tuning models to craft your own GPT projects.
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