Master Python OpenAI API GPT-4- A Project-Based Approach

Master Python OpenAI API & GPT-4: A Project-Based Approach, available at $84.99, with 74 lectures.

You will learn about Learn the fundamentals of the OpenAI Python API and how the API works. Build real-world projects, including a translator, your own chatbot, and an interactive code reviewer. Learn how to work with the latest GPT-4 Model. Learn to Generate, Edit, and Interpret Images using DALL-E 2 & 3. Learn Prompt Engineering to Maximize Responses and Create Quality Output. Generate Voices, Translate Speeches, Text-to-Speech, Speech-to-Text, and More This course is ideal for individuals who are This course is ideal for anyone interested in AI and machine learning, especially those looking to apply AI technologies in practical, impactful ways. Whether you’re an aspiring developer, a seasoned professional, or a curious enthusiast, this course will equip you with the tools and knowledge to excel. It is particularly useful for This course is ideal for anyone interested in AI and machine learning, especially those looking to apply AI technologies in practical, impactful ways. Whether you’re an aspiring developer, a seasoned professional, or a curious enthusiast, this course will equip you with the tools and knowledge to excel.

Enroll now: Master Python OpenAI API & GPT-4: A Project-Based Approach

Summary

Title: Master Python OpenAI API & GPT-4: A Project-Based Approach

Price: $84.99

Number of Lectures: 74

Number of Published Lectures: 74

Number of Curriculum Items: 74

Number of Published Curriculum Objects: 74

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Learn the fundamentals of the OpenAI Python API and how the API works.

Build real-world projects, including a translator, your own chatbot, and an interactive code reviewer.

Learn how to work with the latest GPT-4 Model.

Learn to Generate, Edit, and Interpret Images using DALL-E 2 & 3.

Learn Prompt Engineering to Maximize Responses and Create Quality Output.

Generate Voices, Translate Speeches, Text-to-Speech, Speech-to-Text, and More

Who Should Attend

This course is ideal for anyone interested in AI and machine learning, especially those looking to apply AI technologies in practical, impactful ways. Whether you’re an aspiring developer, a seasoned professional, or a curious enthusiast, this course will equip you with the tools and knowledge to excel.

Target Audiences

This course is ideal for anyone interested in AI and machine learning, especially those looking to apply AI technologies in practical, impactful ways. Whether you’re an aspiring developer, a seasoned professional, or a curious enthusiast, this course will equip you with the tools and knowledge to excel.

Artificial Intelligence is rapidly transforming the tech landscape, and mastering it has never been more crucial. In this comprehensive guide, I will teach you how to unleash the power of the OpenAI Python API, using the latest tools and models that AI has to offer.

Unlike many resources on the internet that rely on outdated versions of the OpenAI API, this course was recorded with the latest updates, including GPT-4, GPT-3.5, DALL-E 3, and the newest Whisper and Embeddings models. You’ll gain hands-on experience with cutting-edge AI technologies and learn how to apply them in real-world scenarios.

What You Will Learn

In this course, you will:

Develop a foundational understanding of how OpenAI operates, its models, and the API’s architecture.

Learn to use GPT-4 to automate tasks, debug code, refactor code, generate new code from scratch, and even calculate time complexity for projects.

Explore the DALL-E 3 model and learn how to create beautiful, AI-generated images from textual prompts.

Use embeddings to compare articles, research documents, or build a recommendation system based on textual queries.

Convert speeches and audio files into accurate transcriptions and translations, and generate speeches from textual prompts using the latest AI technologies.

Learn the art and science of crafting focused and powerful prompts that yield the best AI-driven results.

Deepen your understanding of essential AI concepts, including tokens, language models, and the transformer architecture.

Project-Based Learning

To ensure you truly understand how to work with the OpenAI API, this course is project-based, guiding you through the creation of several exciting and practical projects:

Build a web-based translator that accurately converts text between languages using the latest AI models.

Develop your own chatbot using GPT-4.

Create an AI-powered code reviewer using GPT-4 that can analyze, improve, and even write code for you.

Design a system that can sift through documents, extract key information, and assist in research tasks.

Build a recommendation system that tailors suggestions to users based on their preferences.

Who Should Take This Course?

Whether you’re a software developer, data scientist, or an AI enthusiast, this course will equip you with the expertise to integrate OpenAI’s APIs into your projects and create innovative AI-powered solutions.

Why Choose This Course?

Up-to-Date Content: You’ll be working with the latest versions of OpenAI’s tools, ensuring your skills are relevant and cutting-edge.

Step-by-Step Guidance: No prior AI experience is required each topic is broken down into clear, manageable steps that anyone can follow.

Risk-Free Learning: This course comes with a 30-day money-back guarantee. If you’re not completely satisfied, you can get a full refund, no questions asked.

Join this course today and start your journey into the world of AI with confidence. By the end, you’ll have not only a deep understanding of the OpenAI Python API but also a portfolio of projects that showcase your ability to apply AI in innovative and impactful ways.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Course outline

Lecture 2: What is OpenAI?

Lecture 3: Environment setup (macOS)

Lecture 4: Environment Overview

Lecture 5: Download: Course materials

Chapter 2: Getting Started

Lecture 1: Getting started with the OpenAI API

Lecture 2: Creating a new API Key

Lecture 3: Important Note: Pricing

Lecture 4: Your first API request

Lecture 5: Diving into the documentation

Lecture 6: Introducing Models

Lecture 7: The pricing system

Lecture 8: What are Tokens?

Lecture 9: Controlling the amount of tokens used (max_tokens)

Lecture 10: Controlling the amount of choices (n)

Lecture 11: Best Practice: Hiding your API Key

Chapter 3: [Project] Creating a Web-Based Translator

Lecture 1: Introducing the Project

Lecture 2: Building the general structure using Flask

Lecture 3: Implementing the OpenAI API

Lecture 4: Make some optional quality changes

Chapter 4: Prompt Engineering

Lecture 1: What is Prompt Engineering & Why its important

Lecture 2: Transformer Architecture

Lecture 3: Environment setup

Lecture 4: bad vs. good Prompt

Lecture 5: Key Concepts for a good Prompt

Lecture 6: Crafting effective Prompts

Lecture 7: few-shot and zero-shot (1)

Lecture 8: few-shot and zero-shot (2)

Lecture 9: role-playing and persona-based Prompts

Lecture 10: Analysing data

Lecture 11: Manipulating tone, style and format

Lecture 12: Common Prompt Engineering Pitfalls

Chapter 5: Introducing GPT-4

Lecture 1: Introducing GPT-4

Lecture 2: GPT-4 Pricing

Lecture 3: Working with GPT-4

Chapter 6: [Project] Build your own Chatbot using GPT-4

Lecture 1: Introducing the Project

Lecture 2: Building the basic bot structure (1)

Lecture 3: Building the basic bot structure (2)

Lecture 4: Adding colors

Lecture 5: Adding additional option

Lecture 6: Add Context to the bot

Chapter 7: Working with GPT-4 and Code

Lecture 1: GPT-4 for developers

Lecture 2: Writing code from scratch

Lecture 3: Receive code explanations (existing & generated)

Lecture 4: Debugging your code

Lecture 5: Review your code

Lecture 6: Transform your code

Lecture 7: Plan your project

Chapter 8: [Project] Interactive Code Reviewer

Lecture 1: Introducing the Project

Lecture 2: Building the basic bot structure

Lecture 3: Storing the review in a file

Lecture 4: Making the bot interactive

Lecture 5: Adding colors

Chapter 9: Additional API Request Parameters & Tools

Lecture 1: Define stop sequences (stop)

Lecture 2: Determine the quality of your response (temperature)

Lecture 3: Control the diversity of your response (top_p)

Lecture 4: Calculate your Tokens with Tiktoken

Chapter 10: Embeddings

Lecture 1: What are Embeddings?

Lecture 2: Creating Embeddings

Lecture 3: Example 1: Document Search

Lecture 4: Example 2: Recommendation System

Chapter 11: Working with Audio

Lecture 1: Introducing Text to Speech

Lecture 2: Audio quality & different Voice options

Lecture 3: Supported output formats & languages

Lecture 4: Introducing Speech to Text

Lecture 5: Supported languages

Lecture 6: Translating speeches

Chapter 12: Generating, Edit & Work with Images (DALL-E)

Lecture 1: What is DALL-E?

Lecture 2: Generating your first Image

Lecture 3: Using Prompt Engineering for better output

Lecture 4: Editing your Image

Lecture 5: Image variations

Chapter 13: Course Wrap-Up and Future Opportunities

Lecture 1: Summarizing what youve learned

Lecture 2: What are the next steps?

Instructors

Pascal Krause
IT Consultant, Software Engineer and passionate Instructor

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Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!