OpenAI Assistants with OpenAI Python API

OpenAI Assistants with OpenAI Python API, available at $54.99, has an average rating of 4.62, with 24 lectures, based on 345 reviews, and has 2833 subscribers.

You will learn about Understand the basics of the OpenAI Chat Completion API Call Learn how to create OpenAI Assistants that can run and execute code on their own. Discover the power of knowledge retrieval with assistants, allowing them to use your documents! Build your own assistants that can utilize custom function calling to run your own custom Python functions! This course is ideal for individuals who are Python developers looking to learn about the new Assistants API from OpenAI It is particularly useful for Python developers looking to learn about the new Assistants API from OpenAI.

Enroll now: OpenAI Assistants with OpenAI Python API

Summary

Title: OpenAI Assistants with OpenAI Python API

Price: $54.99

Average Rating: 4.62

Number of Lectures: 24

Number of Published Lectures: 24

Number of Curriculum Items: 24

Number of Published Curriculum Objects: 24

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Understand the basics of the OpenAI Chat Completion API Call

Learn how to create OpenAI Assistants that can run and execute code on their own.

Discover the power of knowledge retrieval with assistants, allowing them to use your documents!

Build your own assistants that can utilize custom function calling to run your own custom Python functions!

Who Should Attend

Python developers looking to learn about the new Assistants API from OpenAI

Target Audiences

Python developers looking to learn about the new Assistants API from OpenAI

Unleash the Power of AI in Your Applications with Our Exclusive OpenAI Assistants API Course!

Welcome to an extraordinary journey into the world of AI with our Udemy course on the OpenAI Assistants API. This course is designed for enthusiasts, developers, and innovators who are eager to integrate advanced AI capabilities into their applications.

Key Highlights of the Course:

1. Assistant Creation Mastery: Dive into the world of creating versatile AI assistants. Learn to configure assistants using the cutting-edge GPT-3.5 or GPT-4 models. Get hands-on experience in enabling advanced tools like Code Interpreter and Retrieval, and see how you can create specialized assistants, such as a personal math tutor, tailored to your needs.

2. Conversation Management with Threads: Master the art of managing user interactions through Threads. Understand how each user interaction starts a new Thread with no limit on the number of messages, and how the Assistant efficiently manages input tokens within the maximum context window.

3. Advanced Message Handling: Explore the intricacies of adding text and files to a Thread. Stay ahead with insights into upcoming features like image uploads in messages.

4. Dynamic Assistant Responses: Learn to run the Assistant effectively to process messages in a Thread, triggering tools automatically. Gain expertise in context window management, crucial for both cost efficiency and performance optimization.

5. Run Status and Response Display: Become proficient in monitoring the status of Runs and displaying the Assistant’s responses upon completion, a key skill for ensuring seamless user experiences.

6. Customization and Tool Access: Customize Assistants to match specific requirements. Gain knowledge in using OpenAI-hosted tools and creating custom tools through Function Calling.

7. File Handling and Object Architecture: Understand how to handle various file formats and delve into the object architecture of the API, including Assistants, Threads, Messages, Runs, and Run Steps.

8. Practical Run and Thread Management: Learn the practical aspects of managing Threads and Messages, and understand the lifecycle and statuses of Runs, including polling and thread locks.

9. Data Access and API Limitations: Get guidance on appropriate data access controls and authorization, and understand the current limitations of the API.

10. Tools Deep Dive: Get a comprehensive understanding of tools like Code Interpreter, Knowledge Retrieval, and Function Calling. Learn about their costs, capabilities, and how they enhance the functionality of AI assistants.

Why Choose This Course?

Hands-on Learning: Engage in practical, real-world examples and exercises.

Future-Ready Skills: Stay ahead in the technology curve by mastering an API that’s continually evolving.

Expert Guidance: Learn from instructors with deep expertise in AI and the OpenAI ecosystem.

Community and Support: Join a community of learners and experts, and receive continuous support throughout your learning journey.

Whether you’re looking to enhance your application with AI, seeking to streamline business processes, or simply curious about the potential of AI assistants, this course is your gateway to unlocking new possibilities.

Enroll now and be part of the AI revolution!

Course Curriculum

Chapter 1: Introduction

Lecture 1: COURSE FAQs and DOWNLOADS

Lecture 2: Course Curriculum Overview

Chapter 2: OpenAI Chat Completion API Overview

Lecture 1: OpenAI Account Setup

Lecture 2: Messages and Parameters

Lecture 3: Chat Completion Exercise

Lecture 4: Chat Completion Exercise – Solution Code Along

Chapter 3: OpenAI API Assistants and Code Interpreter

Lecture 1: How do Assistants Work?

Lecture 2: Understanding LLM Assistant and Motivations

Lecture 3: Assistants, Threads, and Messages

Lecture 4: Runs

Lecture 5: Assistant Workflow

Lecture 6: Assistant Exercise

Lecture 7: Assistant Exercise – Solution Code Along

Chapter 4: OpenAI Assistants with Knowledge Retrieval

Lecture 1: How Knowledge Retrieval Works

Lecture 2: Single File in Message

Lecture 3: File with Code Interpreter

Lecture 4: Multiple Files with Assistant

Lecture 5: Assistant Knowledge Retrieval – Exercise Overview

Lecture 6: Assistant Knowledge Retrieval – Exercise Solution Code Along

Chapter 5: Assistant Function Calling

Lecture 1: Understanding Function Calling with Assistants

Lecture 2: Converting Python Function to JSON Request

Lecture 3: Function Calling with an Assistant

Lecture 4: Assistant with Function Calling – Exercise Overview

Lecture 5: Assistant with Function Calling – Exercise Solution

Instructors

Jose Portilla
Head of Data Science at Pierian Training

Pierian Training
Data Science and Machine Learning Training

Marcel Früh
Deep Learning Expert

Rating Distribution

1 stars: 1 votes

2 stars: 1 votes

3 stars: 17 votes

4 stars: 110 votes

5 stars: 216 votes

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!