OpenAI Assistants with OpenAI Python API
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!
Requirements
- Python Programming Experience Required, recommended you also have familiarity with OpenAI
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
Instructors
- 4.6 Instructor Rating
- 1,265,112 Reviews
- 4,240,633 Students
- 87 Courses
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, SalesForce, Starbucks, McKinsey and many more. Feel free to check out the website link to find out more information about training offerings.
- 4.6 Instructor Rating
- 1,273,309 Reviews
- 4,173,419 Students
- 94 Courses
Pierian Training stands as a premier provider in the realms of Data Science and Machine Learning education, offering both in-person and virtual instructor-led training tailored for enterprises. Explore our comprehensive profile to discover a wide range of courses designed to enhance your professional skills and organizational capabilities. Feel free to contact us if you have any questions in the link on our profile!
- 4.6 Instructor Rating
- 1,856 Reviews
- 4,071,826 Students
- 2 Courses
Marcel Frueh has a Dr.rer.nat in Computer Science from the University of Tübingen.
His main goal is to connect the exciting field of machine learning with medicine to improve patients' lives.
He has years of experience working with medical imaging data, programming, Deep Learning, and as a university lecturer where he has taught hundreds of undergraduate and graduate students in various fields.
His main focus is to make complicated concepts simple to present and internalize through lots of practice.
Feel free to contact him on LinedIn for more information.