Applied Skills: Start your journey at the source. You will build an app that transforms simple user inputs into expanded, intelligent narratives. This project teaches you the core mechanics of the Completion API, from structuring the initial request to handling the AI's response and rendering it in real-time within a React interface.

Applied Skills: Don't make your users wait. You will master the 'Streaming' protocol, learning how to intercept individual text 'chunks' as they are generated by the AI. You'll build a high-performance React interface that renders text token-by-token, simulating a live typing effect while managing complex asynchronous state updates.

Applied Skills: Engineers don't just send text; they manage data. You will build a sophisticated pipeline to extract raw text from binary PDFs, implement a 'Chaining' logic to split massive books into processable chunks, and orchestrate a recursive summarization flow to condense 100+ pages into a single high-fidelity brief.

Applied Skills: Give your AI 'hands.' You will master the groundbreaking Function Calling API to bridge GPT with external weather databases. You'll learn to architect a three-stage request chain: identifying user intent, calling a live weather API, and transforming raw JSON data back into a natural, human-friendly forecast.

Applied Skills: Move beyond 'Assistant' defaults. You will learn to engineer deep personas for historical figures like Einstein and Bill Gates, mastering the 'System Message' to lock in specific knowledge and speech patterns, while implementing a robust message-history array to ensure the AI remembers everything said in the session.

Applied Skills: Go beyond keyword matching. You will learn to transform raw strings into 1,536-dimensional vectors using OpenAI's embedding models, and implement the Cosine Similarity formula to calculate the mathematical 'distance' between concepts—enabling your apps to understand that 'Dog' and 'Puppy' are related even if the letters don't match.

Applied Skills: Stop searching and start recommending. You will process a large-scale book dataset, generating thousands of embeddings to create a 'Semantic Map' of literature. You'll master the Nearest Neighbor algorithm to find books with the closest mathematical meaning to a user's preference and visualize the results in a 2D cluster map.

Applied Skills: Stop querying the model; query your data. You will engineer a full RAG pipeline: extracting text from PDFs, splitting it into semantic chunks, and storing them as vectors. You'll then build a system that retrieves the most relevant 'knowledge chunks' based on a user's question and injects them into the prompt for hyper-accurate, grounded responses.

Applied Skills: Move beyond text. You will learn to interface with OpenAI’s vision models to transform natural language prompts into high-fidelity 1024x1024 images. You'll master the engineering required to handle image generation latency, render visual outputs in a React UI, and implement a 'Save to Disk' feature using modern JavaScript file streams.

Applied Skills: Go beyond text-to-image. You will build a professional editing suite where users can upload photos, 'mask' specific areas using a custom-built Canvas brush, and send both the original image and the mask to DALL-E. You'll master the strict PNG transparency requirements needed for AI inpainting and handle complex multi-file server requests.

Applied Skills: Master visual-only prompting. You will build an app that allows users to 'fork' a design concept without typing a single word. You'll learn to prepare square PNG assets, interface with the Variations endpoint to generate up to 10 stylistic alternatives at once, and handle the asynchronous rendering of batch image arrays in a clean, gallery-style UI.

Applied Skills: Bridge the gap between sound and text. You will architect a professional transcription pipeline that accepts multiple audio formats (MP3, WAV, M4A), handles secure file uploads via Node.js streams, and utilizes the Whisper model to generate high-accuracy transcripts. You'll also learn to implement timestamp-based formatting for subtitle generation.

Applied Skills: Break the language barrier programmatically. You will implement the Whisper 'Translations' endpoint to take audio in dozens of different languages—like Spanish, French, or Mandarin—and translate it directly into English. You'll master the logic of handling file-based translations and presenting the final text in a clean, professional interface.

Applied Skills: Go beyond static files. You will master the Browser MediaRecorder API to capture live human speech, learn the technical process of converting binary audio blobs into OpenAI-compatible files on the fly, and build a seamless 'Record-to-Result' workflow that feels instantaneous to the end user.

Applied Skills: The final frontier. You will build a powerful bridge that takes live recorded speech in a foreign tongue and leverages Whisper's native translation capability to skip the intermediate transcription step. You'll master the logic of translating any voice—from Spanish to Mandarin—directly into fluent English text in a single efficient API pass.