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

Foundations of Data Analytics (edX) EdX
The Hong Kong University of Science and Technology - HKUST,HKUSTx

Foundations of Data Analytics (edX)

Statistics & Data Analysis Computer Science

Learn the fundamental techniques for data analytics and to be prepared for learning and applying more advanced big data technologies. Foundations of Data Analytics: This course will provide fundamental techniques for data analytics, including data collection, data extraction, data integration, data cleansing, and basic machine learning techniques.

Self Paced
Self-Paced
Machine Learning Big Data Data Privacy
Details
Machine Learning at the Edge on Arm: A Practical Introduction (edX) EdX
Arm Education,ArmEducationX

Machine Learning at the Edge on Arm: A Practical Introduction (edX)

Engineering Eng: Electronics

This course will provide you with the hands-on experience you’ll need to create innovative ML applications using ubiquitous Arm-based microcontrollers. The age of machine learning has arrived! Arm technology is powering a new generation of connected devices with sophisticated sensors that can collect a vast range of environmental, spatial and audio/visual data. Typically this data is processed in the cloud using advanced machine learning tools that are enabling new applications reshaping the way we work, travel, live and play.

Self Paced
Self-Paced
ML Artificial Intelligence Machine Learning
Details
Data Science: Capstone (edX) EdX
HarvardX,Harvard University

Data Science: Capstone (edX)

Statistics & Data Analysis Data Science

Show what you’ve learned from the Professional Certificate Program in Data Science. To become an expert data scientist you need practice and experience. By completing this capstone project you will get an opportunity to apply the knowledge and skills in R data analysis that you have gained throughout the series. This final project will test your skills in data visualization, probability, inference and modeling, data wrangling, data organization, regression, and machine learning.

Self Paced
Self-Paced
Probability Machine Learning Regression
Details
Fundamentals of TinyML (edX) EdX
HarvardX,Harvard University

Fundamentals of TinyML (edX)

Statistics & Data Analysis Data Science

Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML. What do you know about TinyML? Tiny Machine Learning (TinyML) is one of the fastest-growing areas of Deep Learning and is rapidly becoming more accessible. This course provides a foundation for you to understand this emerging field.

Self Paced
Self-Paced
Machine Learning Embedded Systems Data Science
Details
Data Science: R Basics (edX) EdX
HarvardX,Harvard University

Data Science: R Basics (edX)

Statistics & Data Analysis Data Science

Build a foundation in R and learn how to wrangle, analyze, and visualize data. This course will introduce you to the basics of R programming. You can better retain R when you learn it to solve a specific problem, so you’ll use a real-world dataset about crime in the United States. You will learn the R skills needed to answer essential questions about differences in crime across the different states.

Self Paced
Self-Paced
Probability Machine Learning Inference
Details
Advanced Bayesian Statistics Using R (edX) EdX
University of Canterbury,UCx

Advanced Bayesian Statistics Using R (edX)

Statistics & Data Analysis Data Science

Now that you know the basics of Bayesian inference, dive deeper to explore its richness and flexibility more fully. Let’s take a closer look at modeling latent variables, Bayesian model averaging, generalised linear models, and MCMC methods. Advanced Bayesian Data Analysis Using R is part two of the Bayesian Data Analysis in R professional certificate.

Self Paced
Self-Paced
Calculus Algorithms Machine Learning
Details
PyTorch Basics for Machine Learning (edX) EdX
IBM

PyTorch Basics for Machine Learning (edX)

Statistics & Data Analysis Data Science

This course is the first part in a two part course and will teach you the fundamentals of PyTorch. In this course you will implement classic machine learning algorithms, focusing on how PyTorch creates and optimizes models. You will quickly iterate through different aspects of PyTorch giving you strong foundations and all the prerequisites you need before you build deep learning models.

Self Paced
Self-Paced
ML Machine Learning Linear Regression
Details
IoT Systems and Industrial Applications with Design Thinking (edX) EdX
École Polytechnique Fédérale de Lausanne,EPFLx

IoT Systems and Industrial Applications with Design Thinking (edX)

Engineering Eng: Electronics

The first MOOC to provide a comprehensive introduction to Internet of Things (IoT) including the fundamental business aspects needed to define IoT related products. Internet of Things (IoT) and smart connected devices have radically changed the way our world works and how companies operate and create new businesses.

Self Paced
Self-Paced
Machine Learning Design Thinking IoT
Details
Essentials of Genomics and Biomedical Informatics (edX) EdX
IsraelX

Essentials of Genomics and Biomedical Informatics (edX)

Sci: Biology & Life Sciences Medicine & Pharmacology

This course presents clinicians and digital health enthusiasts with an overview of the data revolution in medicine and how to exploit it for research and in the clinic. The course will not make you a bioinformatician but will introduce the main concepts, tools, algorithms, and databases in this field.

Self Paced
5-12 Weeks
Health Artificial Intelligence Machine Learning
Details