Generative AI using OpenAI API for Beginners from Udemy

OpenAI's GPT series of language models have created headlines the world over.This course equips learners with the tools and expertise needed to develop AI-powered solutions, enabling them to leverage OpenAI's state-of-the-art models for various real-world applications, including chatbots, content generation, translation, and more, making it an invaluable resource for those seeking to stay at the forefront of AI innovation. Enroll now and embark on your journey into the realm of OpenAI using Python.

This course is for Beginners and Experienced Programmers with knowledge of python who wants to use OpenAI Models in their applications.

Course Highlights:

Demystifying OpenAI: Gain a clear understanding of what OpenAI is, how it works, and why it's revolutionizing the AI landscape.

Getting Started with APIs: Explore the fundamentals of APIs and learn how to interact with OpenAI's API to access powerful AI models.

Exploring Use Cases: Discover a wide range of practical applications for OpenAI API across industries like content creation, chatbots, language translation, and more.

Hands-On Projects: Dive into real-world projects that will guide you through implementing OpenAI API in various scenarios, building your confidence with each exercise.

Creating Chatbots: Develop your very own chatbot using OpenAI's API, enhancing your understanding of natural language processing and conversation generation.

Content Generation: Learn how to generate creative and informative content with the help of AI models, giving your projects a competitive edge.

Language Translation: Explore the capabilities of language translation using OpenAI API and create a multilingual experience for your applications.

You will:

Understand the fundamentals of AI,Generative AI and OpenAI API
Setup OpenAI account and Key
Create and run your first OpenAI API Python Program
Learn how to process the JSON Response
Control the model behaviour by passing in different parameters
Use the Text Completion Model to do Sentimental Analysis
Use the Text Completion Model to classify text, generate code and more
Learn what roles are and how to use them in the request
Maintain the context across requests
Moderate text using the Text Moderation AI Model
Receive and Handle Multiple Responses
Handle errors gracefully
Control the quality of the response
Use Whisper AI model to generate text from audio
Translate audio from other languages to english
Use audio and text models together
Generate Images using DALL.E Model
Edit Images using DALL.E Model
Understand what text embeddings are
Work on various use-cases using the Open AI Embedding Models
Master Open AI API in simple steps

What are the requirements?

Python,PyCharm Community Edition or Any other IDE

What's inside

Learning objectives

Understand the fundamentals of ai,generative ai and openai api
Setup openai account and key
Create and run your first openai api python program
Learn how to process the json response
Control the model behaviour by passing in different parameters
Use the text completion model to do sentimental analysis
Use the text completion model to classify text, generate code and more
Learn what roles are and how to use them in the request
Maintain the context across requests
Moderate text using the text moderation ai model
Receive and handle multiple responses
Handle errors gracefully

Control the quality of the response
Use whisper ai model to generate text from audio
Translate audio from other languages to english
Use audio and text models together
Generate images using dall.e model
Edit images using dall.e model
Understand what text embeddings are
Work on various use-cases using the open ai embedding models
Master open ai api in simple steps
Show more
Show less

Understand the fundamentals of ai,generative ai and openai api
Setup openai account and key
Create and run your first openai api python program
Learn how to process the json response
Control the model behaviour by passing in different parameters
Use the text completion model to do sentimental analysis
Use the text completion model to classify text, generate code and more
Learn what roles are and how to use them in the request
Maintain the context across requests
Moderate text using the text moderation ai model
Receive and handle multiple responses
Handle errors gracefully
Control the quality of the response
Use whisper ai model to generate text from audio
Translate audio from other languages to english
Use audio and text models together
Generate images using dall.e model
Edit images using dall.e model
Understand what text embeddings are
Work on various use-cases using the open ai embedding models
Master open ai api in simple steps
Show more
Show less

Syllabus

Introduction

Course Introduction

How to make the best of this course

Completed Scripts on GitHub

AI and Generative AI Fundamentals

What is AI

What is Generative AI

What is OpenAI API

ChatGPT Crash Course

ChatGPT in action

Prompt Engineering

Summarize

ChatGPT Basics

Expansion

Research and Plan

Code

Classification

Market

Translate

Conditional Prompts

Structured Output

Sample Data

Sentimental Analysis

Open AI Account Setup

Setup an OpenAI account

Pricing

OpenAI API Docs

Use the Chat Playground

Parameters

Create and configure a Key

Text Processing

Create the python project

OpenAI API in action

Multiple Responses

Open AI API in Action

Sentiment Analysis

Text Classification Usecase

Explain Code

Text Completions

Summarise Minutes Of Meeting

Using Assistant for Context

In Context Training

Work like ChatGPT

Text Moderation

Moderation in action

Context and Moderation

Streaming in action

Multiple Responses and Streaming

Error Handling

Error Handling in action

Audio

Whisper in action

Using multiple models

Processing Lengthy Audio

Setup PyDub

PyDub and Whisper in action

Generate Quizzes

Embeddings

Use Embedding API

Find Similarity

Process Response Dynamically

Plagiarism Detection

Images

Generate a image

Saving a binary image

Generate Variations

Edit Images

Image Edit In Action

Function Calling

The Problem

Use Function Calling

Invoke the function

Things to remember

Function calling

Currency Exchange Rate

GPT 4 Vision Preview

Using the API

Upload Image

Wrap Up

Bonus Lecture

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops foundational skills for those new to OpenAI API

Builds on existing Python knowledge

Introduces a broad range of OpenAI API use cases

Provides hands-on projects for practical experience

Suitable for beginners with no prior AI experience

Requires subscription to OpenAI API

Reviews summary

Beginner-friendly generative ai course

Learners say this course is highly recommended for beginners who are looking to get started with Generative AI using OpenAI API. Students describe engaging assignments that help reinforce key concepts presented in well-structured lectures. Positive reviews frequently highlight how easy it is to understand all lessons, especially for those without prior knowledge or experience.

Activities help reinforce learning.

"good easy to understand"

"easy to understand and lots of examples"

"very interesting, easy to follow, easy to understand. Very enjoyable thank you!"

Lessons are organized and easy to follow.

"Easy to understand for beginners. Well-structured. Thank you Sal."

"The course is good, profound knowledge. I hope it gets more advance when I follow with the rest."

"Sal's background as a teacher really shows in the way she structures her courses and in the way she produces the content."

Perfect for those new to Generative AI.

"Loved the course. It was easy to learn as I am a beginner."

"it is absolutely great! I am a total beginner and the explanations are great to understand the tarot clearly!"

"I like the segmented nature of Sal’s approach; bite size nuggets of information. She speaks clearly and offers great insight to the new learner, like me."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Generative AI using OpenAI API for Beginners with these activities:

Review Python concepts

Show steps

Refresh your knowledge of essential Python concepts like data types, variables, and syntax to strengthen your foundation before diving into OpenAI API applications.

Browse courses on Python Programming

Show steps

Revise Python data structures and algorithms.
Practice writing simple Python programs to manipulate data.
Review documentation or tutorials on Python basics.

Read about Natural Language Processing (NLP)

Show steps

Expand your knowledge of NLP, a fundamental concept for understanding OpenAI's language models, by reading a comprehensive book on the subject.

View Natural Language Processing with Python:... on Amazon

Show steps

Obtain a copy of the book.
Read the chapters relevant to NLP concepts.
Take notes and summarize key ideas.

Explore OpenAI API tutorials and documentation

Show steps

Supplement your learning by exploring official OpenAI API tutorials and documentation to gain a deeper understanding of its capabilities and best practices.

Show steps

Visit the OpenAI API website and explore the documentation.
Follow step-by-step tutorials to familiarize yourself with the API.
Experiment with code examples provided in the documentation.

Five other activities

Expand to see all activities and additional details

Show all eight activities

Solve Python coding challenges

Show steps

Engage in practice exercises or coding challenges on platforms like LeetCode or HackerRank to reinforce your Python skills and prepare for implementing OpenAI API calls.

Show steps

Identify a coding challenge platform.
Select challenges that align with the course topics.
Solve the challenges and review solutions.

Collaborate with peers on OpenAI API projects

Show steps

Join study groups or online communities to connect with other learners and work on OpenAI API projects together, sharing knowledge and providing support.

Show steps

Identify platforms or communities for collaboration.
Join or start a study group.
Share project ideas and collaborate on implementation.

Build a Python script using OpenAI API

Show steps

Apply your knowledge by creating a Python script that utilizes OpenAI's API to perform a specific task, such as text generation or sentiment analysis.

Show steps

Design the functionality of your script.
Gather the necessary OpenAI API keys.
Write Python code to interact with the API.
Test and refine your script to ensure accuracy.

Attend a workshop on OpenAI API applications

Show steps

Participate in workshops or webinars conducted by experts in the field to gain practical insights into the applications and best practices of OpenAI API.

Show steps

Research and identify relevant workshops.
Register and attend the workshop.
Actively participate and engage with the instructors.

Contribute to OpenAI API open-source projects

Show steps

Enhance your understanding and practical skills by contributing to open-source projects related to OpenAI API, gaining exposure to real-world applications and best practices.

Show steps

Identify open-source projects related to OpenAI API.
Review the project documentation and codebase.
Identify areas where you can contribute.
Submit pull requests with your contributions.

Career center

Learners who complete Generative AI using OpenAI API for Beginners will develop knowledge and skills that may be useful to these careers:

AI Engineer

An AI Engineer designs, builds, and maintains AI systems that are used to solve problems or automate tasks. This course would help you gain experience with OpenAI's API, which is a powerful tool for developing AI-powered applications. The course covers a range of topics, including natural language processing, machine learning, and computer vision. This knowledge would be valuable for any AI Engineer who wants to work on AI-powered projects.

See salaries and explore the career path for AI Engineer

Software Developer

A software developer is responsible for designing, developing, and maintaining software applications. This course would allow you to gain experience with OpenAI's API, which is a powerful tool for developing AI-powered applications. The course covers a range of topics, including natural language processing, machine learning, and computer vision. This knowledge would be valuable for any software developer who wants to work on AI-powered projects.

See salaries and explore the career path for Software Developer

Machine Learning Engineer

A machine learning engineer is responsible for developing and deploying machine learning models. This course would allow you to gain experience with OpenAI's API, which is a powerful tool for developing AI-powered applications. The course covers a range of topics, including natural language processing, machine learning, and computer vision. This knowledge would be valuable for any machine learning engineer who wants to work on AI-powered projects.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

A data scientist is responsible for collecting, analyzing, and interpreting data. This course would allow you to gain experience with OpenAI's API, which is a powerful tool for data analysis. The course covers a range of topics, including natural language processing, machine learning, and computer vision. This knowledge would be valuable for any data scientist who wants to work on AI-powered projects.

See salaries and explore the career path for Data Scientist

Product Manager

A product manager is responsible for the development and launch of new products. This course would allow you to gain experience with OpenAI's API, which is a powerful tool for developing AI-powered products. The course covers a range of topics, including natural language processing, machine learning, and computer vision. This knowledge would be valuable for any product manager who wants to work on AI-powered products.

See salaries and explore the career path for Product Manager

UX Designer

A UX designer is responsible for the design of user interfaces. This course would allow you to gain experience with OpenAI's API, which is a powerful tool for developing AI-powered user interfaces. The course covers a range of topics, including natural language processing, machine learning, and computer vision. This knowledge would be valuable for any UX designer who wants to work on AI-powered products.

See salaries and explore the career path for UX Designer

Customer Success Manager

A customer success manager is responsible for ensuring that customers are satisfied with a company's products and services. This course would allow you to gain experience with OpenAI's API, which is a powerful tool for generating text and code. The course covers a range of topics, including natural language processing, machine learning, and computer vision. This knowledge would be valuable for any customer success manager who wants to work on AI-powered projects.

See salaries and explore the career path for Customer Success Manager

Social Media Manager

A social media manager is responsible for managing social media accounts for businesses and organizations. This course would allow you to gain experience with OpenAI's API, which is a powerful tool for generating text and code. The course covers a range of topics, including natural language processing, machine learning, and computer vision. This knowledge would be valuable for any social media manager who wants to work on AI-powered projects.

See salaries and explore the career path for Social Media Manager

Content Creator

A content creator is responsible for creating content for websites, blogs, social media, and other platforms. This course would allow you to gain experience with OpenAI's API, which is a powerful tool for generating text and code. The course covers a range of topics, including natural language processing, machine learning, and computer vision. This knowledge would be valuable for any content creator who wants to work on AI-powered projects.

See salaries and explore the career path for Content Creator

Consultant

A consultant is responsible for providing advice and guidance to businesses and organizations. This course would allow you to gain experience with OpenAI's API, which is a powerful tool for generating text and code. The course covers a range of topics, including natural language processing, machine learning, and computer vision. This knowledge would be valuable for any consultant who wants to work on AI-powered projects.

See salaries and explore the career path for Consultant

Project Manager

A project manager is responsible for planning, executing, and closing projects. This course would allow you to gain experience with OpenAI's API, which is a powerful tool for generating text and code. The course covers a range of topics, including natural language processing, machine learning, and computer vision. This knowledge would be valuable for any project manager who wants to work on AI-powered projects.

See salaries and explore the career path for Project Manager

Sales Manager

A sales manager is responsible for managing a sales team and generating revenue. This course would allow you to gain experience with OpenAI's API, which is a powerful tool for generating text and code. The course covers a range of topics, including natural language processing, machine learning, and computer vision. This knowledge would be valuable for any sales manager who wants to work on AI-powered projects.

See salaries and explore the career path for Sales Manager

Business Analyst

A business analyst is responsible for analyzing business needs and developing solutions. This course would allow you to gain experience with OpenAI's API, which is a powerful tool for generating text and code. The course covers a range of topics, including natural language processing, machine learning, and computer vision. This knowledge would be valuable for any business analyst who wants to work on AI-powered projects.

See salaries and explore the career path for Business Analyst

Marketing Manager

A marketing manager is responsible for developing and implementing marketing campaigns. This course would allow you to gain experience with OpenAI's API, which is a powerful tool for generating text and code. The course covers a range of topics, including natural language processing, machine learning, and computer vision. This knowledge would be valuable for any marketing manager who wants to work on AI-powered projects.

See salaries and explore the career path for Marketing Manager

Technical Writer

A technical writer is responsible for writing documentation and training materials for software and hardware products. This course would allow you to gain experience with OpenAI's API, which is a powerful tool for generating text and code. The course covers a range of topics, including natural language processing, machine learning, and computer vision. This knowledge would be valuable for any technical writer who wants to work on AI-powered products.

See salaries and explore the career path for Technical Writer