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Getting Started with Generative AI APIs

Kevin Noelsaint

This course walks learners through setting up their OpenAI trial, generating API keys, and making their first API request. Learners are introduced to the basics of natural language generation using OpenAI GPT-3 before building a movie recommendation system.

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What's inside

Syllabus

Introduction to GPT-3
Large Language Models (LLMs)
AI TO API
Read more

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches learners how to set up their OpenAI trial, generate API keys, and make their first API request
Introduces learners to the basics of natural language generation using OpenAI GPT-3
Provides a hands-on experience building a movie recommendation system using GPT-3
Specifically designed for beginners who want to get started with OpenAI GPT-3 and natural language generation
Taught by Kevin Noelsaint, an expert in natural language processing and machine learning
Requires learners to have basic programming and data analysis skills

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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 Getting Started with Generative AI APIs with these activities:
Review Python basics
Strengthen your Python skills to enhance your ability to integrate GPT-3 with your projects.
Browse courses on Python Basics
Show steps
  • Review online tutorials or documentation on Python fundamentals.
  • Practice writing simple Python scripts.
  • Solve coding challenges to reinforce your understanding.
Review NLP fundamentals
Revisit the core concepts of NLP to ensure a strong foundation for this course.
Browse courses on Natural Language Processing
Show steps
  • Read introductory articles or book chapters on NLP
  • Review notes or past coursework on NLP
  • Complete practice exercises or quizzes on NLP basics
Explore GPT-3 tutorials and walkthroughs
Gain practical insights into GPT-3 by following guided tutorials and walkthroughs.
Browse courses on GPT-3
Show steps
  • Identify reputable online resources or platforms offering GPT-3 tutorials
  • Choose tutorials that align with your learning objectives
  • Follow the instructions and complete the exercises provided in the tutorials
Four other activities
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Show all seven activities
Refer to Starters and Enders documentation
Introduce yourself to using GPT-3 by learning how to start and end your prompts.
Show steps
  • Go to Starters and Enders documentation at developers.openai.com.
  • Review the different starters and enders available.
  • Try using these starters and enders to generate your own text.
Generate API requests and practice using GPT-3
Solidify your understanding of GPT-3 by practicing API requests and experimenting with different inputs.
Browse courses on Natural Language Generation
Show steps
  • Set up your OpenAI account and obtain an API key
  • Familiarize yourself with the GPT-3 API documentation
  • Create and send API requests to GPT-3 using your chosen programming language
  • Analyze the responses and experiment with different parameters
Practice with different prompts
Strengthen your ability to craft effective prompts that guide GPT-3 to generate the desired responses.
Browse courses on Prompt Engineering
Show steps
  • Come up with a specific task or request that you want GPT-3 to perform.
  • Experiment with different ways of phrasing your prompt.
  • Pay attention to the impact of using different starters, enders, and intermediate instructions.
Create a story or poem using GPT-3
Engage with GPT-3's text generation capabilities through hands-on creation, fostering a deeper understanding of its strengths and limitations.
Browse courses on Creative Writing
Show steps
  • Choose a genre, theme, or idea that inspires you.
  • Start with a compelling prompt that provides context and direction to GPT-3.
  • Iterate and refine your prompts to shape the narrative or poetic flow.

Career center

Learners who complete Getting Started with Generative AI APIs will develop knowledge and skills that may be useful to these careers:
Researcher
Researchers conduct research to advance knowledge in a particular field. They work in a variety of settings, including universities, government agencies, and private companies. This course is a great fit for Researchers who want to learn how to use the OpenAI API to enhance their research capabilities.
See salaries and explore the career path for Researcher
Software Engineer
Software Engineers design, develop, test, and maintain software systems. They work on a variety of projects, from small personal apps to large enterprise systems. This course is a great fit for Software Engineers who want to learn how to use the OpenAI API to add natural language processing (NLP) capabilities to their software applications.
See salaries and explore the career path for Software Engineer
Teacher
Teachers educate students in a variety of subjects. They work with students to develop their knowledge and skills in a particular field. This course is a great fit for Teachers who want to learn how to use the OpenAI API to enhance their teaching and research capabilities.
See salaries and explore the career path for Teacher
Business Analyst
Business Analysts help businesses understand their needs and develop solutions to meet those needs. They work with stakeholders across the organization to gather requirements, analyze data, and make recommendations. This course is a great fit for Business Analysts who want to learn how to use the OpenAI API to improve their data analysis capabilities.
See salaries and explore the career path for Business Analyst
Data Scientist
Data Scientists analyze data, perform research, build models, and create data visualizations. They help businesses understand their data and make informed decisions. This course is a great fit for Data Scientists who want to learn how to use the OpenAI API to enhance their data analysis and modeling capabilities.
See salaries and explore the career path for Data Scientist
Machine Learning Engineer
Machine Learning Engineers research, design, test, deploy, and maintain machine learning (ML) systems. This course will help Machine Learning Engineers get started with using the OpenAI API. Getting started with the OpenAI API is a necessary skill for Machine Learning Engineers who want to incorporate OpenAI's products and services into their ML systems.
See salaries and explore the career path for Machine Learning Engineer
Professor
Professors teach and conduct research at colleges and universities. They work with students to develop their knowledge and skills in a particular field. This course is a great fit for Professors who want to learn how to use the OpenAI API to enhance their teaching and research capabilities.
See salaries and explore the career path for Professor
Marketing Manager
Marketing Managers develop and execute marketing campaigns. They work to promote products and services to target audiences. This course is a great fit for Marketing Managers who want to learn how to use the OpenAI API to create more effective marketing campaigns.
See salaries and explore the career path for Marketing Manager
Author
Authors write books, articles, and other types of content. They work to communicate ideas and information to readers. This course is a great fit for Authors who want to learn how to use the OpenAI API to enhance their writing and research capabilities.
See salaries and explore the career path for Author
Product Manager
Product Managers are responsible for the development and launch of new products. They work with engineers, designers, and marketers to bring products to market. This course is a great fit for Product Managers who want to learn how to use the OpenAI API to improve their product development process.
See salaries and explore the career path for Product Manager
Consultant
Consultants provide advice and guidance to businesses on a variety of topics. They work with clients to identify problems, develop solutions, and implement change. This course is a great fit for Consultants who want to learn how to use the OpenAI API to enhance their research and analysis capabilities.
See salaries and explore the career path for Consultant
Nurse
Nurses provide care to patients in a variety of settings. They work with doctors and other healthcare professionals to provide medical care and support to patients. This course is a great fit for Nurses who want to learn how to use the OpenAI API to enhance their research and support capabilities.
See salaries and explore the career path for Nurse
Doctor
Doctors diagnose and treat illnesses and injuries. They work with patients to improve their health and well-being. This course is a great fit for Doctors who want to learn how to use the OpenAI API to enhance their research and writing capabilities.
See salaries and explore the career path for Doctor
Lawyer
Lawyers represent clients in legal matters. They work to protect the rights of their clients and help them resolve disputes. This course is a great fit for Lawyers who want to learn how to use the OpenAI API to enhance their research and writing capabilities.
See salaries and explore the career path for Lawyer
Journalist
Journalists gather, analyze, and report on news and current events. They work for a variety of media outlets, including newspapers, magazines, and websites. This course is a great fit for Journalists who want to learn how to use the OpenAI API to enhance their research and writing capabilities.
See salaries and explore the career path for Journalist

Reading list

We've selected eight 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 Getting Started with Generative AI APIs.
Cover image
Deep Learning with TensorFlow and Keras
Save
This widely acclaimed book offers a comprehensive introduction to deep learning, a field that underpins generative AI. It provides a solid foundation for understanding the concepts and algorithms used in GPT-3.
Deep Learning with TensorFlow and Keras - Third...
Paperback
$$
Deep Learning with TensorFlow 2 and Keras - Second...
Paperback
$$
Deep Learning with TensorFlow and Keras: Build and...
Kindle Edition
$$
Deep Learning with TensorFlow 2 and Keras:...
Kindle Edition
$$
Machine Learning with Python for Everyone
Save
This beginner-friendly book introduces the fundamentals of machine learning, providing a helpful starting point for understanding the foundational concepts used in generative AI.
Machine Learning with Python for Everyone
Paperback
Check
Machine Learning with Python for Everyone
Kindle Edition
Check
Cover image
Python for Data Analysis
Save
This practical guide teaches essential data analysis techniques using Python, a programming language widely used in AI development. It provides a valuable foundation for learners looking to build and deploy generative AI models.
Python for Data Analysis
Paperback
Check
Python for Data Analysis
Kindle Edition
Check
Cover image
Generative Deep Learning
Save
Offers a comprehensive exploration of generative AI, covering theoretical foundations, practical applications, and ethical considerations. It is suitable for learners seeking a deeper understanding of the field.
Generative Deep Learning
Paperback
Check
Generative Deep Learning
Kindle Edition
Check
Cover image
Cross-Lingual Word Embeddings
Save
This advanced book explores deep learning techniques specifically applied to natural language processing. It is suitable for learners interested in delving into the cutting-edge research in this area.
Cross-Lingual Word Embeddings (Synthesis Lectures...
Paperback
$$
Cover image
Speech and Language Processing. An Introduction to...
Save
This comprehensive textbook provides a thorough foundation in speech and language processing, covering topics relevant to generative AI, such as natural language understanding and generation.
Speech and Language Processing An Introduction to...
Paperback
$$
Cover image
The Elements of Statistical Learning
Save
This classic book provides a comprehensive overview of statistical learning, a foundational field for understanding the statistical models used in generative AI. It is suitable for learners seeking a deeper understanding of the underlying theory.
The Elements of Statistical Learning: Data Mining,...
Hardcover
$$$
The Elements of Statistical Learning: Data Mining,...
Hardcover
$$$
The Elements of Statistical Learning: Data Mining,...
Kindle Edition
$$$
Cover image
Deep Learning for Coders with fastai and PyTorch
Save
This practical guide teaches deep learning using the Fastai and PyTorch libraries. It helpful resource for learners looking to implement and deploy generative AI models.
Deep Learning for Coders with Fastai and PyTorch:...
Paperback
$$
Deep Learning for Coders with fastai and PyTorch:...
Kindle Edition
$$

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Course image
Effort
2-3 hours/week
Level
Introductory
Via
Coursera
Institution
Codio
Instructor
Kevin Noelsaint
Language
English
This course belongs to a collection called Getting Started with Generative AI API. It's comprised of three courses:
  1. Images with DALL-E
  2. Getting Started with Generative AI APIs (viewing)
  3. Generating code with ChatGPT API
Good to know
Teaches learners how to set up their OpenAI trial, generate API keys, and make their first API request
Introduces learners to the basics of natural language generation using OpenAI GPT-3
Provides a hands-on experience building a movie recommendation system using GPT-3
Specifically designed for beginners who want to get started with OpenAI GPT-3 and natural language generation
Taught by Kevin Noelsaint, an expert in natural language processing and machine learning
Requires learners to have basic programming and data analysis skills
Share and help others discover this course.
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