OpenAI Assistants with OpenAI Python API

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Jose Portilla

4:12:39

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1 - Introduction

1 - COURSE FAQs and DOWNLOADS.html

1 - Google Slides Link.txt

1 - OPENAI-ASSISTANTS-main.zip

2 - Course Curriculum Overview.mp4

03:26

2 - OpenAI Chat Completion API Overview

3 - OpenAI Account Setup.mp4

15:34

4 - Messages and Parameters.mp4

13:35

5 - Chat Completion Exercise.mp4

01:43

6 - Chat Completion Exercise Solution Code Along.mp4

05:54

3 - OpenAI API Assistants and Code Interpreter

7 - How do Assistants Work.mp4

11:33

8 - Understanding LLM Assistant and Motivations.mp4

08:46

9 - Assistants Threads and Messages.mp4

08:22

10 - Runs.mp4

11:58

11 - Assistant Workflow.mp4

26:11

12 - Assistant Exercise.mp4

03:40

13 - Assistant Exercise Solution Code Along.mp4

08:46

4 - OpenAI Assistants with Knowledge Retrieval

14 - How Knowledge Retrieval Works.mp4

10:13

15 - Single File in Message.mp4

18:15

16 - File with Code Interpreter.mp4

20:15

17 - Multiple Files with Assistant.mp4

15:39

18 - Assistant Knowledge Retrieval Exercise Overview.mp4

02:18

19 - Assistant Knowledge Retrieval Exercise Solution Code Along.mp4

10:20

5 - Assistant Function Calling

20 - Understanding Function Calling with Assistants.mp4

09:57

21 - Converting Python Function to JSON Request.mp4

18:45

22 - Function Calling with an Assistant.mp4

14:10

23 - Assistant with Function Calling Exercise Overview.mp4

02:21

24 - Assistant with Function Calling Exercise Solution.mp4

10:58

Description

Learn to use the new OpenAI Assistants API, allowing GPT models to run code, read your files, and call functions!

What You'll 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 is this for?

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

What You Need to Know?

Python Programming Experience Required, recommended you also have familiarity with OpenAI

More details

Description
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:
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.
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.
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.
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.
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.
Customization and Tool Access: Customize Assistants to match specific requirements. Gain knowledge in using OpenAI-hosted tools and creating custom tools through Function Calling.
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.
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.
Data Access and API Limitations: Get guidance on appropriate data access controls and authorization, and understand the current limitations of the API.
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!
Who this course is for:
Python developers looking to learn about the new Assistants API from OpenAI

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Jose Marcial Portilla has a BS and MS in Mechanical Engineering from Santa Clara University and years of experience as a professional instructor and trainer for Data Science, Machine Learning and Python Programming. He has publications and patents in various fields such as microfluidics, materials science, and data science. Over the course of his career he has developed a skill set in analyzing data and he hopes to use his experience in teaching and data science to help other people learn the power of programming, the ability to analyze data, and the skills needed to present the data in clear and beautiful visualizations. Currently he works as the Head of Data Science for Pierian Training and provides in-person data science and python programming training courses to employees working at top companies, including General Electric, Cigna, The New York Times, Credit Suisse, McKinsey and many more. Feel free to check out the website link to find out more information about training offerings.

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