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Open AI for Beginners
Programmatic Prompting
Angelo Paolillo
Angelo Paolillo
In this project you will programmatically prompt an OpenAI model using the OpenAI API, and utilize the AI to enrich data of an existing movie collection. You will use Python to prompt the davinci-003 OpenAI model based on JSON objects storing details of the user's movie collection. You will enrich the movie collection with data such as director, genre and year of release, as well as dynamically generating the movie plots, through the OpenAI model. You will also learn how to calibrate the model response using the temperature parameter. Learners in this project will create a dynamic AI-driven data enrichment and content generation system for a movie database web app.
Read more
In this project you will programmatically prompt an OpenAI model using the OpenAI API, and utilize the AI to enrich data of an existing movie collection. You will use Python to prompt the davinci-003 OpenAI model based on JSON objects storing details of the user's movie collection. You will enrich the movie collection with data such as director, genre and year of release, as well as dynamically generating the movie plots, through the OpenAI model. You will also learn how to calibrate the model response using the temperature parameter. Learners in this project will create a dynamic AI-driven data enrichment and content generation system for a movie database web app.
Read more
In this project you will programmatically prompt an OpenAI model using the OpenAI API, and utilize the AI to enrich data of an existing movie collection. You will use Python to prompt the davinci-003 OpenAI model based on JSON objects storing details of the user's movie collection. You will enrich the movie collection with data such as director, genre and year of release, as well as dynamically generating the movie plots, through the OpenAI model. You will also learn how to calibrate the model response using the temperature parameter. Learners in this project will create a dynamic AI-driven data enrichment and content generation system for a movie database web app.
This project will help developers to implement OpenAI in their projects, using the AI model beyond ChatGPT, generating content or enriching data using an AI model.
The prerequisites of this project include fundamental knowledge of programming principles, particularly Python and JSON fundamentals. In the course of the project you will create an OpenAI account and use API credits. Any new account will allow 5 US Dollars worth of free credit, which is more than enough to complete the project.
PLEASE NOTE: if you already have an OpenAI account and are unable to avail of the free credit, you may incur costs for using OpenAI API.
Register for this course and see more details by visiting:
OpenCourser.com/course/grvn3a/open
What's inside
Syllabus
Project Overview
In this project you will programmatically prompt an OpenAI model using the OpenAI API, and utilize the AI to enrich data of an existing movie collection. You will use Python to prompt the davinci-003 OpenAI model based on JSON objects storing details of the user's movie collection. You will enrich the movie collection with data such as director, genre and year of release, as well as dynamically generating the movie plots, through the OpenAI model. You will also learn how to calibrate the model response using the temperature parameter. Learners in this project will create a dynamic AI-driven data enrichment and content generation system for a movie database web app.
This project will help developers to implement OpenAI in their projects, using he AI model beyond ChatGPT, generating content or enriching data using an AI model.
The prerequisites of this project include fundamental knowledge of programming principles, particularly Python and JSON fundamentals. In the course of the project you will create an OpenAI account and use API credits. Any new account will allow 5 US Dollars worth of free credit, which is more than enough to complete the project.
PLEASE NOTE: if you already have an OpenAI account and are unable to avail of the free credit, you may incur costs for using OpenAI API.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops AI and English communication skills, which are core skills for data scientists and content writers
Taught by Angelo Paolillo, who are recognized for their work in AI
Explores AI, which is standard in industry
Teaches Python, which helps learners code AI
Requires Python experience, which may be a barrier to entry for some learners
Requires OpenAI account and API credits, which may incur costs for some learners
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Open AI for Beginners: Programmatic Prompting.
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Career center
Learners who complete Open AI for Beginners: Programmatic Prompting will develop knowledge and skills
that may be useful to these careers:
Machine Learning Researcher
Machine Learning Researcher
Machine Learning Researchers use their programming skills to conduct research in the field of machine learning. As an Open AI for Beginners: Programmatic Prompting course learner, you will learn how to programmatically prompt an OpenAI model using the OpenAI API. This skill can be applied to machine learning research tasks such as developing new machine learning algorithms and evaluating machine learning models.
Artificial Intelligence Specialist
Artificial Intelligence Specialist
Artificial Intelligence Specialists use their programming skills to develop and deploy artificial intelligence solutions. As an Open AI for Beginners: Programmatic Prompting course learner, you will learn how to programmatically prompt an OpenAI model using the OpenAI API. This skill can be applied to artificial intelligence tasks such as creating natural language processing models and image recognition models.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and implement machine learning models. As an Open AI for Beginners: Programmatic Prompting course learner, you will learn how to programmatically prompt an OpenAI model using the OpenAI API. This skill can be applied to machine learning tasks such as model training and evaluation, which are essential for building and deploying successful machine learning applications.
Data Analyst
Data Analyst
Data Analysts use their programming skills to analyze and interpret data in order to create reports and visualizations that can help businesses make better decisions. As an Open AI for Beginners: Programmatic Prompting course learner, you will learn how to programmatically prompt an OpenAI model using the OpenAI API. This skill can be applied to data analysis tasks such as data cleaning and feature engineering, which are essential for building accurate and reliable machine learning models.
Data Scientist
Data Scientist
Data Scientists use their programming skills to collect, analyze, and interpret data in order to solve business problems. As an Open AI for Beginners: Programmatic Prompting course learner, you will learn how to programmatically prompt an OpenAI model using the OpenAI API. This skill can be applied to data science tasks such as data mining and predictive modeling, which are essential for making informed decisions and driving business growth.
Human Resources Manager
Human Resources Manager
Human Resources Managers use their programming skills to manage the human resources aspects of an organization. As an Open AI for Beginners: Programmatic Prompting course learner, you will learn how to programmatically prompt an OpenAI model using the OpenAI API. This skill can be applied to human resources tasks such as creating employee handbooks and managing employee benefits, which are essential for building a successful workforce.
Web Developer
Web Developer
Web Developers design, develop, and maintain websites and web applications. As an Open AI for Beginners: Programmatic Prompting course learner, you will learn how to programmatically prompt an OpenAI model using the OpenAI API. This skill can be applied to web development tasks such as building dynamic and interactive web pages, which can be used to create engaging and informative user experiences.
Product Manager
Product Manager
Product Managers use their programming skills to build and manage software products. As an Open AI for Beginners: Programmatic Prompting course learner, you will learn how to programmatically prompt an OpenAI model using the OpenAI API. This skill can be applied to product management tasks such as developing product roadmaps and managing product releases, which are essential for building successful software products.
Operations Manager
Operations Manager
Operations Managers use their programming skills to manage the day-to-day operations of an organization. As an Open AI for Beginners: Programmatic Prompting course learner, you will learn how to programmatically prompt an OpenAI model using the OpenAI API. This skill can be applied to operations tasks such as creating process flows and managing inventory, which are essential for ensuring the smooth running of an organization.
Finance Manager
Finance Manager
Finance Managers use their programming skills to manage the financial aspects of an organization. As an Open AI for Beginners: Programmatic Prompting course learner, you will learn how to programmatically prompt an OpenAI model using the OpenAI API. This skill can be applied to finance tasks such as creating financial reports and managing budgets, which are essential for ensuring the financial health of an organization.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. As an Open AI for Beginners: Programmatic Prompting course learner, you will learn how to programmatically prompt an OpenAI model using the OpenAI API. This skill can be applied to software engineering tasks such as building web applications, mobile applications, and desktop applications.
Marketing Manager
Marketing Manager
Marketing Managers use their programming skills to create and manage marketing campaigns. As an Open AI for Beginners: Programmatic Prompting course learner, you will learn how to programmatically prompt an OpenAI model using the OpenAI API. This skill can be applied to marketing tasks such as creating marketing content and managing social media campaigns, which are essential for reaching target audiences and driving business growth.
Project Manager
Project Manager
Project Managers use their programming skills to plan and manage projects. As an Open AI for Beginners: Programmatic Prompting course learner, you will learn how to programmatically prompt an OpenAI model using the OpenAI API. This skill can be applied to project management tasks such as creating project plans and managing project budgets, which are essential for delivering successful projects.
Sales Manager
Sales Manager
Sales Managers use their programming skills to build and manage sales teams. As an Open AI for Beginners: Programmatic Prompting course learner, you will learn how to programmatically prompt an OpenAI model using the OpenAI API. This skill can be applied to sales tasks such as creating sales materials and managing customer relationships, which are essential for generating sales and driving revenue.
Business Analyst
Business Analyst
Business Analysts use their programming skills to analyze and interpret business data in order to identify opportunities and solve problems. As an Open AI for Beginners: Programmatic Prompting course learner, you will learn how to programmatically prompt an OpenAI model using the OpenAI API. This skill can be applied to business analysis tasks such as market research and competitive analysis, which are essential for developing successful business strategies.
For more career information including salaries, visit:
OpenCourser.com/course/grvn3a/open
Reading list
We've selected 12 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
Open AI for Beginners: Programmatic Prompting.
Save
Is the definitive reference on deep learning. It covers a wide range of topics, from the basics of neural networks to the latest advances in the field. It is essential reading for anyone serious about learning about deep learning.
Is the definitive reference on reinforcement learning. It covers a wide range of topics, from the basics of reinforcement learning to the latest advances in the field. It is essential reading for anyone serious about learning about reinforcement learning.
Provides a comprehensive overview of machine learning from a probabilistic perspective. It covers a wide range of topics, from Bayesian inference to reinforcement learning. It great resource for those looking to gain a solid understanding of the field.
Provides a comprehensive overview of pattern recognition and machine learning. It covers a wide range of topics, from supervised learning to unsupervised learning. It great resource for those looking to gain a solid understanding of the field.
Provides a comprehensive overview of speech and language processing, covering a wide range of topics from speech recognition to natural language understanding. It great resource for those looking to gain a solid understanding of the field.
Provides a comprehensive overview of statistical learning, covering a wide range of topics from linear regression to support vector machines. It great resource for those looking to gain a solid understanding of the field.
Provides a comprehensive overview of information theory, inference, and learning algorithms. It covers a wide range of topics, from Shannon's entropy to Bayesian networks. It great resource for those looking to gain a solid understanding of the field.
Practical guide to building and deploying deep learning models using Python. It covers a wide range of topics, from neural networks to convolutional neural networks. It is written in a clear and concise style, and great resource for those looking to get started with deep learning.
Save
Provides a comprehensive overview of computer vision, covering the latest algorithms and applications. It is written in a clear and concise style, and great resource for those looking to gain a solid understanding of the field.
Provides a comprehensive overview of convex optimization, covering a wide range of topics from linear programming to interior-point methods. It great resource for those looking to gain a solid understanding of the field.
Practical guide to building and deploying machine learning models. It covers a wide range of topics, from data preparation to model evaluation. It is written in a clear and concise style, and great resource for those looking to get started with machine learning.
Save
Provides a comprehensive overview of artificial intelligence, covering its basic concepts, applications, and ethical implications. It great resource for those looking to gain a solid understanding of AI's potential and limitations.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/grvn3a/open
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Effort
2 hours
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Angelo Paolillo
Language
English
Good to know
Develops AI and English communication skills, which are core skills for data scientists and content writers
Taught by Angelo Paolillo, who are recognized for their work in AI
Explores AI, which is standard in industry
Teaches Python, which helps learners code AI
Requires Python experience, which may be a barrier to entry for some learners
Requires OpenAI account and API credits, which may incur costs for some learners
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