EdX

AI Applications and Prompt Engineering (edX)

Offered by edX,
AI Applications and Prompt Engineering (edX)

Learn to create AI applications with prompt engineering in this introductory online course. Go beyond AI basics, and learn technical and practical skills to harness the power of this emerging technology. Some experience with JavaScript, Node.js, and APIs is recommended.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

Are you looking to expand your AI application knowledge and create your own application? Enroll in our Intro to AI Applications and Prompt Engineering course to see how you can make AI work for you.
By the end of the course, you will be able to:

  • Articulate key benefits and limitations of generative AI.
  • Understand how to use AI applications and prompt engineering to drive results.
  • Create an AI-powered command line interface application.

To enroll in this course and utilize ChatGPT's API, which is a required part of the course, students must have a credit card to access OpenAI's ChatGPT API. Your credit card will be charged whatever usage amounts you incur by OpenAI to access the ChatGPT API, and this dollar charge is separate from and in addition to the fee paid to enroll in the verified course track.

What you'll learn

  • How to define AI applications, prompt engineering, and machine learning, and how to leverage these tools and knowledge for your own initiatives.
  • How to structure questions or requests in a way that guides an AI application to give the best possible answer.
  • How to leverage LangChain and ChatGPT to create your own application.
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Introduction to Scientific Machine Learning (edX) EdX
Purdue University,PurdueX

Introduction to Scientific Machine Learning (edX)

Learn the basics of machine learning with hands-on practical examples on engineering applications. This course provides an introduction to data analytics for individuals with no prior knowledge of data science or machine learning. The course starts with an extensive review of probability theory as the language of uncertainty, discusses Monte Carlo sampling for uncertainty propagation, covers the basics of supervised (Bayesian generalized linear regression, logistic regression, Gaussian processes, deep neural networks, convolutional neural networks), unsupervised learning (k-means clustering, principal component analysis, Gaussian mixtures) and state space models (Kalman filters).

Aug 21st 2023
13-24 Weeks
Python for Data Science (edX) EdX
University of California, San Diego,UC San DiegoX

Python for Data Science (edX)

Learn to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets. In the information age, data is all around us. Within this data are answers to compelling questions across many societal domains (politics, business, science, etc.). But if you had access to a large dataset, would you be able to find the answers you seek?

Self Paced
Self-Paced
Marketing Analytics (edX) EdX
Columbia University,ColumbiaX

Marketing Analytics (edX)

Develop quantitative models that leverage business data to forecast sales and support important marketing decisions. Marketers want to understand and forecast how customers purchase products and services and how they respond to marketing initiatives. Learn how analytics help businesses drive marketing to maximize its effectiveness and optimize return on investment (ROI).

This course is archived
5-12 Weeks
Machine Learning (edX) EdX
Columbia University,ColumbiaX

Machine Learning (edX)

Master the essentials of machine learning and algorithms to help improve learning from data without human intervention. Machine Learning is the basis for the most exciting careers in data analysis today. You’ll learn the models and methods and apply them to real world situations ranging from identifying trending news topics, to building recommendation engines, ranking sports teams and plotting the path of movie zombies.

This course is archived
5-12 Weeks
Data Science: Machine Learning (edX) EdX
HarvardX,Harvard University

Data Science: Machine Learning (edX)

Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques. Perhaps the most popular data science methodologies come from machine learning. What distinguishes machine learning from other computer guided decision processes is that it builds prediction algorithms using data.

Self Paced
Self-Paced
Recommender Systems: Behind the Screen (edX) EdX
Université de Montréal,UMontrealX

Recommender Systems: Behind the Screen (edX)

How are items recommended when you’re browsing for movies, jobs or clothing online? Register here and you’ll discover the fundamental concepts and methods allowing the most relevant item suggestions to users from e-commerce to online advertisement. In this course, you will explore and learn the best methods and practices in recommender systems, which are an essential component of the online ecosystem. This course was developed by IVADO and HEC Montréal as part of a workshop that took place in Montreal.

Sep 26th 2023
5-12 Weeks
Trustworthy AI for Healthcare Management (Coursera) EdX
Politecnico di Milano

Trustworthy AI for Healthcare Management (Coursera)

This MOOC gives an introduction to trustworthy artificial intelligence and its application in healthcare. This includes modules on basics of artificial intelligence and an introduction to trustworthy and ethical applications of artificial intelligence. A dedicated lesson will present the Z-Inspection® process for assessing trustworthy AI, and real-world case studies will illustrate how to apply the knowledge.

Jun 15th 2026
3 Weeks
Understanding the World Through Data (edX) EdX
MIT,MITx

Understanding the World Through Data (edX)

Become a data explorer – learn how to leverage data and basic machine learning algorithms to understand the world. Speech recognition, drones, and self-driving cars – things that once seemed like pure science fiction – are now widely available technologies, and just a few examples of how humans have taught machines to analyze data and make decisions. In this hands-on, introductory course, you will examine all the forms in which data exists, learn tools that uncover relationships between data, and leverage basic algorithms to understand the world from a new perspective.

Mar 13th 2024
5-12 Weeks
Big Data Analytics Using Spark (edX) EdX
University of California, San Diego,UC San DiegoX

Big Data Analytics Using Spark (edX)

Learn how to analyze large datasets using Jupyter notebooks, MapReduce and Spark as a platform. In data science, data is called “big” if it cannot fit into the memory of a single standard laptop or workstation. The analysis of big datasets requires using a cluster of tens, hundreds or thousands of computers. Effectively using such clusters requires the use of distributed files systems, such as the Hadoop Distributed File System (HDFS) and corresponding computational models, such as Hadoop, MapReduce and Spark.

Dec 5th 2023
5-12 Weeks
Data Analytics and Visualization in Health Care (edX) EdX
Rochester Institute of Technology,RITx

Data Analytics and Visualization in Health Care (edX)

Learn best practices in data analytics, informatics, and visualization to gain literacy in data-driven, strategic imperatives that affect all facets of health care. Big data is transforming the health care industry relative to improving quality of care and reducing costs—key objectives for most organizations. Employers are desperately searching for professionals who have the ability to extract, analyze, and interpret data from patient health records, insurance claims, financial records, and more to tell a compelling and actionable story using health care data analytics.

Self Paced
Self-Paced