OpenAI API Mastery with Python: From Zero to Expert

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G Sudheer,datascience Anywhere

6:22:16

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1. Introduction

1. Introduction.mp4

05:01

2. Create OpenAI Account.html

2. Large Language Models (LLMs) Essential Concepts

1. What will you learn.mp4

01:57

2. Foundation of Large Language Models.mp4

06:12

3. OpenAI Playground - No Coding

1. OpenAI API.mp4

08:13

2. UsageBilling, Settings, Rate Limit.mp4

16:31

3. Completion.mp4

18:49

4. Chat.mp4

11:55

4. Assistants in Playground

1. Assistant.mp4

09:00

2. Assistant - Knowlege Retrival.mp4

19:49

3. Assistant - Code Interpreter (Analysis data in csv file).mp4

14:52

4. Data Analysis Assignment with Assistant.html

5. OpenAI API with Python

1. Create API (Secret Keys).mp4

03:20

2. Setting up Python for OpenAI.mp4

11:52

3. Setting up your Secret key in Python.mp4

05:59

4. Sending API request to OpenAI - part1.mp4

16:41

5. Sending API request to OpenAI - part2.mp4

10:41

6. Sending API request to OpenAI - part3.mp4

04:04

7. Stream API request to OpenAI.mp4

11:13

6. Create ChatGPT App in Steamlit

1. ChatGPT App with OpenAI API - part1 (Chat Elements).mp4

12:13

2. ChatGPT App with OpenAI API - part2.mp4

14:31

3. ChatGPT App with OpenAI API - part3.mp4

14:19

7. Assistant API in Python

1. What is Assistant API.mp4

08:48

2. How Assistant API works.mp4

09:37

3. Assistant API Playground Logs Review.mp4

11:06

4. Run Lifecycle of Assistant API.mp4

06:26

5. Create Assistants in Python.mp4

24:06

6. Create Thread and Message for Assistant.mp4

02:45

7. Create Run and run the assistant.mp4

10:41

8. Get response for another Prompt (Create Assistant Run Function).mp4

15:57

9. Visualization with Assistants (Get Plots from Data) part 1.mp4

14:30

10. Visualization with Assistants (Get Plots from Data) part 2.mp4

14:00

11. Create Data visualizer Assistant App in Streamlit.mp4

07:41

12. Data Visualizer Assistant App in Streamlit - part 2 (thread, sesssion state).mp4

03:47

13. Data Visualizer Assistant App in Streamlit - part 3 (chat input, chat message).mp4

05:10

14. Data Visualizer Assistant App in Streamlit - part 4 (connect to assistants).mp4

13:50

15. Data Visualizer Assistant App in Streamlit - part 5.mp4

16:40

16.1 assistants app · Streamlit.pdf

16. Prompts to get more visualization on data.html

8. BONUS

1. Bonus Lecture.html

Description

Build OpenAI Apps with Python & Streamlit. Explore Chat Completion, Assistant API & Fine-Tuning, GPT 3.5, GPT 4

What You'll Learn?

Fine-tuning OpenAI models for specific tasks and applications
Create Assistant API app with Streamlit
Harness the power of the Assistant API in Python for intelligent interactions
Create a ChatGPT app using Streamlit for interactive chat experiences
Dive into building chat completion applications using Python
Get introduced to the OpenAI API and its capabilities
Implement OpenAI API functionalities in Python for various applications
Explore the OpenAI Playground, including the Completion API, Chat Completion, and Assistant features
Gain an understanding of Large Language Models and their significance in modern AI applications
Learn basic prompt engineering techniques to effectively interact with OpenAI models

Who is this for?

Python enthusiasts eager to delve into the world of AI and natural language processing

Students or professionals looking to enhance their skills in AI development and application building

Entrepreneurs or tech enthusiasts interested in creating innovative AI-powered solutions

Anyone curious about leveraging the potential of OpenAI technology to develop intelligent and interactive applications

What You Need to Know?

Basic understanding of Python programming language. Familiarity with concepts such as variables, loops, and functions

Access to a computer with internet connectivity

Eagerness to learn and explore the possibilities of OpenAI technology

More details

Description
Welcome to the comprehensive course on OpenAI API Mastery: From Beginner to Expert
Â Â Â In this course, we'll embark on an exciting journey to explore the capabilities of one of the most powerful AI technologies available today. Whether you're a beginner in Python or an experienced developer looking to enhance your skills in natural language processing and AI application development, this course is designed to equip you with the knowledge and skills needed to build intelligent applications using the OpenAI API.
We'll start by laying the foundation with an introduction to Large Language Models
Understanding their significance in the realm of artificial intelligence.
From there, we'll delve into the basics of prompt engineering techniques, essential for effectively interacting with OpenAI models.
You'll then be introduced to the OpenAI API, gaining insights into its functionalities and capabilities.
Next, we'll dive into the OpenAI Playground, where we'll explore key features such as the
Completion API
Chat Completion,
Assistant API
Knowledge Retrieval
Code Interpreter
Function Calling functionalities.
Through hands-on exercises and projects, you'll learn how to leverage these features to build intelligent chat applications and interactive assistants.
Moving forward, we'll explore how to implement the OpenAI API in Python, enabling you to harness the power of AI within your own applications.
We'll specifically focus on the chat completion API, teaching you how to integrate it into Python applications and build a ChatGPT app using Streamlit for a seamless user experience.
But we won't stop there. We'll also cover the Assistant API, demonstrating how to use it to create intelligent assistants capable of assisting users with various tasks and inquiries.
Additionally, you'll learn how to build a Data Visualizer app using the Assistant API in Python with Streamlit
Enhancing data understanding and analysis with Assistant API
Finally, we'll delve into the process of fine-tuning OpenAI models for specific tasks and applications, allowing you to tailor the models to suit your unique needs.
Throughout the course, you'll not only gain practical skills in AI application development but also understand the broader implications of OpenAI technology in today's world.
By the end of this course, you'll emerge as a proficient developer capable of harnessing the power of the OpenAI API to build intelligent, innovative, and impactful applications that have the potential to transform industries and enrich lives.
So, are you ready to unlock the full potential of AI? Let's get started!
Who this course is for:
Python enthusiasts eager to delve into the world of AI and natural language processing
Students or professionals looking to enhance their skills in AI development and application building
Entrepreneurs or tech enthusiasts interested in creating innovative AI-powered solutions
Anyone curious about leveraging the potential of OpenAI technology to develop intelligent and interactive applications

User Reviews

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I am Sudheer working in Data Science with a demonstrated history of working in the information technology and services industry. Skilled in Machine Learning, Deep Learning, Statistical algorithms. We mostly worked on Image Processing and Natural Language processing application. I also successfully deployed many data science-related projects in cloud platforms as a service in AWS, Google Cloud, etc.

datascience Anywhere

Instructor's Courses

Hi,We're team of Machine Learning experts, AI developers working together to advance the state of the art in artificial intelligence. You will be hearing from us when new courses are released, answering Q&A and many more.We are here to help you stay on the cutting edge of Data Science and Technology.Thanks, datascience Anywhere Team

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