OpenAI API with Python Bootcamp: ChatGPT API, GPT-4, DALL·E

English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 83 lectures (8h 54m) | 1.61 GB

Learn ChatGPT API with Python. Integrate OpenAI Models like GPT-4 with your Python Applications. Project-based course.

Welcome to the best resource for learning the OpenAI API with Python and for integrating the latest OpenAI models into your applications.

This OpenAI API with Python Bootcamp covers every model released by OpenAI that has an API, including GPT-3 (DaVinci), ChatGPT (GPT-3.5-TURBO and GPT-4), DALL-E, and Whisper!

By the end of this course, you will have in-depth knowledge and a vast hands-on experience with the OpenAI API, and you will be an expert able to make your Python applications intelligent.

This is a brand new OpenAI API course that will be constantly updated to teach you the skills required for the future.

You will be a pioneer who will be shaping the future of technology and will benefit from the first-mover advantage.

Projects developed in this course:

• Project #1- Zero-Shot Sentiment Analysis Using ChatGPT
• Project #2 – Building a ChatGPT Clone From Scratch (ChatBot)
• Project #3 – Building a Healthy Daily Meal Plan
• Project #4 – Program like a Pro with GPT-4
• Project #5 – Boost Your Linux Sysadmin Capabilities with ChatGPT (ShellGPT)
• Project #6 – YouTube Videos Summary Generator
• Project #7 – Books Recommendation System

What you’ll learn

• Everything from getting started with using the OpenAI API to building real-world Python projects with
• GPT-3, ChatGTP, GPT-4, DALL-E and Whisper.
• You will MASTER OpenAI API: GPT-3, GPT-3.5, GPT-4, ChatGPT, DALL-E, Whisper.
• Acquire a good understanding of how the OpenAI models like ChatGPT, GPT-4, Whisper and DALL-E work.
• Learn how to generate original images using the DALL-E API and Python.
• Learn how to translate and transcribe audio files using the Whisper API and Python.
• Learn how to make chat completions using Davinci, ChatGPT or GPT-4.
• Learn about prompt engineering best practices when dealing with text completion AI models.
• We’ll also develop real-world projects in Python that can be used as templates for your next projects.
• You’ll learn how to develop applications with GPT-4.
• You’ll learn how to administer Linux Systems using AI and natural language (ShellGPT).
• You’ll learn all about OpenAI’s embeddings and how to develop application using embeddings.
• You’ll learn how to create web interfaces (front-ends) for you apps using Streamlit.
• Streamlit: main concepts, widgets, session state, callbacks.