OpenAI API with Python Bootcamp: ChatGPT API, GPT-4o, DALL·E
OpenAI API with Python Bootcamp: ChatGPT API, GPT-4o, DALL·E, available at $119.99, has an average rating of 4.6, with 123 lectures, 4 quizzes, based on 543 reviews, and has 6549 subscribers.
You will learn about Everything from getting started with using the OpenAI API to building real-world Python projects with ChatGTP, GPT-4, GPT-4-Turbo, DALL-E 3 and Whisper. You will MASTER OpenAI API: GPT-3.5-Turbo, GPT-4, GPT-4o, DALL-E, Whisper. Learn how to use the vision capabilities of GPT-4o Fine-tuning GPT-3.5-Turbo using OpneAI API Acquire a good understanding of how the OpenAI models like ChatGPT, GPT-4o, Whisper and DALL-E 3 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 GPT-3.5-Turbo, GPT-4 or GPT-4o. 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-4o. 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. Learn how to use Jupyter AI efficiently. Learn how to use the Text-to-Speech (TTS) API This course is ideal for individuals who are Python programmers who want to integrate the OpenAI Models like ChatGPT, GPT-4, DALL-E 3 and Whisper into their applications. or Any programmer interested in the latest OpenAI API. or Any technical person interested in the most disruptive technology of this decade. It is particularly useful for Python programmers who want to integrate the OpenAI Models like ChatGPT, GPT-4, DALL-E 3 and Whisper into their applications. or Any programmer interested in the latest OpenAI API. or Any technical person interested in the most disruptive technology of this decade.
Enroll now: OpenAI API with Python Bootcamp: ChatGPT API, GPT-4o, DALL·E
Summary
Title: OpenAI API with Python Bootcamp: ChatGPT API, GPT-4o, DALL·E
Price: $119.99
Average Rating: 4.6
Number of Lectures: 123
Number of Quizzes: 4
Number of Published Lectures: 122
Number of Published Quizzes: 4
Number of Curriculum Items: 127
Number of Published Curriculum Objects: 126
Original Price: $89.99
Quality Status: approved
Status: Live
What You Will Learn
- Everything from getting started with using the OpenAI API to building real-world Python projects with ChatGTP, GPT-4, GPT-4-Turbo, DALL-E 3 and Whisper.
- You will MASTER OpenAI API: GPT-3.5-Turbo, GPT-4, GPT-4o, DALL-E, Whisper.
- Learn how to use the vision capabilities of GPT-4o
- Fine-tuning GPT-3.5-Turbo using OpneAI API
- Acquire a good understanding of how the OpenAI models like ChatGPT, GPT-4o, Whisper and DALL-E 3 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 GPT-3.5-Turbo, GPT-4 or GPT-4o.
- 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-4o.
- 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.
- Learn how to use Jupyter AI efficiently.
- Learn how to use the Text-to-Speech (TTS) API
Who Should Attend
- Python programmers who want to integrate the OpenAI Models like ChatGPT, GPT-4, DALL-E 3 and Whisper into their applications.
- Any programmer interested in the latest OpenAI API.
- Any technical person interested in the most disruptive technology of this decade.
Target Audiences
- Python programmers who want to integrate the OpenAI Models like ChatGPT, GPT-4, DALL-E 3 and Whisper into their applications.
- Any programmer interested in the latest OpenAI API.
- Any technical person interested in the most disruptive technology of this decade.
Fully updated for the latest OpenAI API, including GPT-4o, OpenAI’s new flagship model that can reason across audio, vision, and text in real-time.
Welcome to the best online course 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 ChatGPT (GPT-3.5-TURBO, GPT-4, GPT-4-Turbo and GPT-4o), DALL-E, and Whisper!
By the end of this course, you will have extensive knowledge and significant hands-on experience with the OpenAI API, and you will be an expert who can 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 with a modern front-end using Steamlit
Project #4 – Boost Your Linux Sysadmin Capabilities with ChatGPT (ShellGPT)
Project #5 – YouTube Videos Summary Generator
Project #6 – Books Recommendation System Using Embeddings and Similarity Search
Here are two reasons why you should take this course:
1. I took my first Artificial Intelligence course at the Faculty of Mathematics, Statistics, and Informatics back in the early 2000s. I’m not just some random guy who just learned about OpenAI, ChatGPT, or GPT-4 and is now teaching online courses. I have a lot of real-world experience in both teaching and practicing.
2. We’ll start from the basics and learn together, step-by-step, side-by-side, line-by-line, how to make API calls from Python to OpenAI models such as GPT-3.5-Turbo, ChatGPT, GPT-4, GPT-4-Turbo, GPT-4o, DALL-E, or Whisper. I won’t show you how to use the web interface of ChatGPT, but we’ll go really deep into how these models work and we’ll also develop real-world projects in Python that can be used as templates for your next projects.
You’ll have access to my closed and exclusive online group to provide you with improved, faster, and better support for your course-related questions.
You’ll have lifetime access and you can return and look for a specific concept or piece of code anytime you want. And don’t forget, if you don’t like the course, you’re covered by a 30-day money-back guarantee, full refund, no questions asked!
The topics covered in this OpenAI API with Python course are:
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Installing and Working with Jupyter Notebook
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Mastering Prompt Engineering
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Creating an OpenAI Account and an API Key
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Installing the OpenAI API Library and Authenticating to OpenAI
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OpenAI Models: GPT-3.5-TURBO, GPT-4, DALL-E, Whisper
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Making GPT-3 Requests Using the OpenAI API
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Making ChatGPT, GPT-3.5-TURBO, and GPT-4 Requests Using the OpenAI API
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Unlocking the power of GPT-4o (OpenAI’s new flagship model that can reason across audio, vision, and text in real-time)
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Diving into ChatGPT
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Fine-tuning GPT models using the OpenAI API
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OpenAI API Costs
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Tokens
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OpenAI Model Completion Parameters
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ChatGPT System Role
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Prompt Engineering
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Image Generation Using the DALL-E Model
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Using DALL-E to Create Variations and Edit Images
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Diving into DALL-E
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Speech Recognition With Whisper
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Text-to-Speech TTS API
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Text Embeddings (text-embedding-small)
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Coding with AI: How to Use Jupyter AI to Boost Your Productivity
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Creating web interfaces for your apps using Streamlit
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Streamlit: main concepts, widgets, session state, callbacks.
Basic Python Programming experience is required.
So what are you waiting for?
If you want to learn the most in-demand topic right now, if you want to learn using a practical approach, if you want to learn by doing, if you want to learn from a professional you’ve come to the right place.
I will see you in the course!
Course Curriculum
Chapter 1: Getting Started
Lecture 1: How to Get the Most Out of This Course
Lecture 2: Setting Up the Environment: Jupyter Notebook
Lecture 3: Setting Up the Environment: Google Colab
Lecture 4: Join My Private Community!
Lecture 5: Course Resources
Chapter 2: Deep Dive into Chat Completions API
Lecture 1: Creating an OpenAI Account and an API Key
Lecture 2: Installing the OpenAI API Library and Authenticating to OpenAI
Lecture 3: OpenAI Models
Lecture 4: Making GPT Requests Using the OpenAI API
Lecture 5: The System Role
Lecture 6: OpenAI API Costs
Lecture 7: Tokens
Lecture 8: Chat Completions API Parameters: Temperature and Seed
Lecture 9: Chat Completions API Parameters: top_p, max_tokens, frequency penalty
Lecture 10: The OpenAI Playground
Lecture 11: How GPT Models Work
Lecture 12: LLMs Issues and Limitations
Lecture 13: Diving into GPT-4
Chapter 3: Unlocking the Power of GPT-4o API
Lecture 1: Introduction to GPT-4o
Lecture 2: Using Local Base64 Images as Input
Lecture 3: Using Online Images as Input
Chapter 4: Prompt Engineering
Lecture 1: Intro to Prompt Engineering
Lecture 2: Tactic #1 – Position instructions clearly with delimiters
Lecture 3: Tactic #2 – Provide detailed instructions for the context, outcome, or length
Lecture 4: Tactic #3 – Use the RTF Format
Lecture 5: Tactic #4 – Few-Shot Prompting
Lecture 6: Tactic #5 – Specify the steps required to complete a task
Lecture 7: Tactic #6 – Give Models Time to "Think"
Lecture 8: Other Tactics and Principles for Better Prompting
Lecture 9: Avoid Hallucinations Using Guarding
Lecture 10: Prompt Engineering Summary
Chapter 5: Deep Dive into Image Generation API (DALL-E 2 & 3)
Lecture 1: Generating Original Images Using the DALL-E 3 Model
Lecture 2: Creating Variations of Images Using DALL-E
Lecture 3: Editing Images Using DALL-E
Lecture 4: Diving into DALL-E
Chapter 6: Deep Dive into Speech Recognition and Text-to-Speech (TTS) API
Lecture 1: Transcriptions with Whisper
Lecture 2: Translations with Whisper
Lecture 3: Text-to-Speech (TTS) API
Chapter 7: Jupyter AI
Lecture 1: Jupyter AI
Lecture 2: Python Version
Lecture 3: Introduction to Jupyter AI and Other Coding Companions
Lecture 4: Installing Jupyter AI
Lecture 5: Using Jupyter AI in JupyterLab
Lecture 6: Setting Up Jupyter AI in Jupyter Notebook
Lecture 7: Using Jupyter AI in Jupyter Notebook
Lecture 8: Using Interpolation for More Advanced Use Cases
Lecture 9: Using Jupyter AI with Other Providers and Models
Chapter 8: Project #1: Zero-Shot Sentiment Analysis Using ChatGPT
Lecture 1: Project Requirements
Lecture 2: OpenAI API Version
Lecture 3: Building the Application
Lecture 4: Testing the Application
Lecture 5: Building a Front-End Using Streamlit
Lecture 6: Creating the Web App Layout With Streamlit
Lecture 7: Saving and Displaying the History Using the Streamlit Session State
Chapter 9: Project #2: Building a ChatGPT Clone From Scratch (Chat Bot)
Lecture 1: Project Requirements
Lecture 2: OpenAI API Version
Lecture 3: Making a Dialog With the AI Model
Lecture 4: Looping
Lecture 5: Testing the Project and Python Script Overview
Chapter 10: Project #3: Building a Healthy Daily Meal Plan
Lecture 1: Project Requirements
Lecture 2: OpenAI API Version
Lecture 3: Creating the Meal Plan Using the ChatGPT API
Lecture 4: Code Update
Lecture 5: Generating Meal Images Using DALL-E
Chapter 11: Project #4: YouTube Videos Summary Generator
Lecture 1: YouTube Videos Summary Generator: Project Requirements
Lecture 2: OpenAI API Version
Lecture 3: Building a YouTube Downloader With Python
Lecture 4: The YouTube Download Function
Lecture 5: Code Update
Lecture 6: Transcribing Using Whisper
Lecture 7: Summarizing Using GPT
Lecture 8: Testing the Application and Adding Enhancements
Chapter 12: Text Embeddings
Lecture 1: OpenAI API v0.28
Lecture 2: Intro to OpenAI's Text Embeddings
Lecture 3: Generating Simple Embeddings
Lecture 4: Finding Similarities Using Embeddings
Lecture 5: Performing Semantic Searches
Chapter 13: Project #5 – Books Recommendation System
Lecture 1: OpenAI API v0.28
Lecture 2: Project Introduction
Lecture 3: Building the Application – Part 1
Lecture 4: Building the Application – Part 2
Lecture 5: Testing the Application
Lecture 6: Visualizing Embeddings
Instructors
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Andrei Dumitrescu
Software Engineer and Lead Instructor -
Crystal Mind Academy
Teaching Cutting-Edge Technologies
Rating Distribution
- 1 stars: 2 votes
- 2 stars: 3 votes
- 3 stars: 32 votes
- 4 stars: 179 votes
- 5 stars: 327 votes
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