
Explore the OpenAI API bootcamp curriculum through nine hands-on projects, from natural language to SQL and Codex code, to image generation with DALLE, embeddings, and fine-tuning.
Explore the OpenAI landscape, from its origins to key models like GPT and Dolly, and learn how OpenAI's API and safety practices shape AI development.
Explore OpenAI updates, including GPT-3.5 and ChatGPT dialogue models, plus the Whisper API and pricing shifts. Older DaVinci models remain usable, but fine-tuning the latest models isn't available yet.
Learn to implement an OpenAI API call, craft prompts from a DataFrame with prompt engineering, and generate SQL queries using code-davinci-002 with careful response handling.
Create an automatic exam creator that generates topic-based, multiple-choice quizzes with answer sheets, an interactive testing experience, and grading via the OpenAI text completion API and prompt engineering in Python.
Follow a Python script walkthrough that generates a recipe from user inputs, creates a detailed prompt, renders a matching image with DALL·E, and previews future GitHub Pages blog automation.
Set up a GitHub Pages repository to host a static HTML and CSS site on your username.github.io, then clone, create index.html, push changes, and view the live page.
Create an official Reddit app to obtain a client ID and secret key, then connect with Python using PRAW and a user agent to access subreddit data.
Generate prompts from Reddit top post titles and comments, skip pinned posts, and format them into a dictionary for GPT. Use OpenAI to classify sentiment and extract stock tickers.
Learn to use Codex models to generate Python function docstrings and automate documentation with prompt engineering, including a script that adds docstrings to every function in a .py file.
Explore a translation project with OpenAI, translating top headlines to English and summarizing them. Compare OpenAI's translation capabilities with cloud provider models for higher quality results.
Learn how to scrape international newspaper sites by country to retrieve top headlines using BeautifulSoup and requests, then translate and summarize with OpenAI.
Create a prompt and completion JSON for fine-tuning OpenAI, using the trimmed Kaggle 10% Stack Overflow dataset converted from python_qa.csv to qa_openai_format.
Explore text embedding with the OpenAI API to convert text to vectors, enable cosine similarity, clustering, and fuzzy search, and build context-aware completion by inserting vectors into prompts.
Estimate embedding costs by counting tokens with tiktoken, use CL100K base, and generate OpenAI embeddings (ada-002) to build 1,536-dimensional vectors for document similarity and QA.
Welcome to the best online course for learning how to leverage the power of OpenAI's Python API for AI!
In this comprehensive course, you will learn how to harness the power of OpenAI to build intelligent applications and solutions using Python. The OpenAI API is one of the most advanced artificial intelligence platforms available, providing a range of capabilities for natural language processing, computer vision, and more. With this API, you can create AI applications that can understand and respond to human language, generate text, perform sentiment analysis, and much more.
This course is project-oriented, with every section has a unique project designed to be the basis of a start-up idea! You'll gradually learn new skills as you proceed from project to project throughout the sections of the course
By the end of this course, you will have a solid understanding of how to use the OpenAI API with Python and will be able to integrate AI into your own projects. You will learn how to authenticate with the API, how to make API calls, and how to process and analyze the results. You will also learn how to perform NLP tasks, such as text generation and question answering, and how to use the API for building AI-powered solutions.
Discover the Power of AI with Real World Projects:
Natural Language to SQL Queries
Automatic Blog Post Generation
Automated Recipe from Ingredients
Translation and Summarize from International Newspaper
Automatic Code Docstrings for Python
Fine-Tune Custom Chatbots
Perform Sentiment Analysis on Reddit Posts
Vector Text Embed Company Documents
Throughout the course, you will be working on real-world examples and hands-on exercises, allowing you to gain practical experience and put your new knowledge into action. You will also learn best practices for using the OpenAI API effectively, including error handling and performance optimization.
Whether you're a software developer, data scientist, or simply interested in learning about artificial intelligence, this course is designed for you. By the end of this course, you will have a strong foundation in using the OpenAI API and will be able to apply this knowledge to build your own AI solutions.
So if you're ready to take your skills to the next level and explore the world of AI, enroll in this course today and start building intelligent applications with the OpenAI API and Python!