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Generative AI using OpenAI API for Beginners

Bharath Thippireddy

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.

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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

Enroll now

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

Syllabus

Introduction
Course Introduction
How to make the best of this course
Completed Scripts on GitHub
Read more
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

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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

Coming soon We're preparing activities for Generative AI using OpenAI API for Beginners. These are activities you can do either before, during, or after a course.

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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.

Reading list

We've selected 15 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Generative AI using OpenAI API for Beginners.
Provides a comprehensive overview of deep learning, covering the fundamental concepts, algorithms, and applications of this field. It is written by leading researchers in the field and is considered a classic reference on deep learning.
Provides a comprehensive overview of deep learning techniques for natural language processing. It valuable resource for those who want to understand how to use deep learning to build AI-powered language applications.
Provides a comprehensive overview of generative adversarial networks (GANs), which are a type of generative AI model. It valuable resource for those who want to understand the technical details of how GANs work.
Provides a comprehensive overview of speech and language processing, including topics such as natural language understanding, speech recognition, and text-to-speech synthesis. It valuable resource for those who want to understand the fundamentals of these technologies.
Provides a comprehensive overview of reinforcement learning, which type of machine learning that allows AI agents to learn how to behave in an environment by interacting with it. It valuable resource for those who want to understand the fundamentals of reinforcement learning.
Provides a comprehensive overview of the history of AI and the challenges that lie ahead. It discusses the potential of AI to solve some of the world's biggest problems, such as climate change and poverty.
Provides a comprehensive overview of deep learning with Python. It covers a wide range of topics, including convolutional neural networks, recurrent neural networks, and generative adversarial networks. It is particularly useful for readers who want to learn how to build and train deep learning models.
Explores the potential for AI to be used for discriminatory purposes. It discusses the need for transparency and accountability in the development and use of AI systems.
Provides a comprehensive overview of computer vision, including topics such as image processing, object detection, and image recognition. It valuable resource for those who want to understand the fundamentals of these technologies.
Explores the potential of AI and other emerging technologies to transform humanity. It discusses the ethical implications of AI and how we can ensure that AI is used for good.
Explores the potential risks of AI and how we can mitigate them. It discusses the need for international cooperation to ensure that AI is used for good.
Provides a comprehensive overview of deep learning. It covers a wide range of topics, including convolutional neural networks, recurrent neural networks, and generative adversarial networks. It is particularly useful for readers who want to learn the fundamental concepts of deep learning.
Provides a comprehensive overview of machine learning with Python. It covers a wide range of topics, including supervised learning, unsupervised learning, and reinforcement learning. It is particularly useful for readers who want to learn the fundamental concepts of machine learning.

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