Create Image Captioning Models with Google Cloud (Udacity)

Offered by Udacity, Google Cloud,
Create Image Captioning Models with Google Cloud (Udacity)

Learn how to create, train, and evaluate an image captioning model by using deep learning. This course teaches you how to create an image captioning model by using deep learning. You learn about the different components of an image captioning model, such as the encoder and decoder, and how to train and evaluate your model.

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

By the end of this course, you will be able to create your own image captioning models and use them to generate captions for images.

What you will learn
Create Image Captioning Models with Google Cloud

  • Understand the different components of an image captioning model.
  • Learn how to train and evaluate an image captioning model.
  • Create your own image captioning models.
  • Use your image captioning models to generate captions for images.

Why take this course?
In this course, you will gain the knowledge and skills to build image captioning models using deep learning techniques. Throughout the course, you will explore the various elements of an image captioning model, including the encoder and decoder components, and understand the process of training and evaluating your models. Upon completing the course, you will have the ability to independently create your own image captioning models and effectively generate captions for images.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Artificial Intelligence for Robotics (Udacity) Udacity
Udacity

Artificial Intelligence for Robotics (Udacity)

Learn how to program all the major systems of a robotic car. Topics include planning, search, localization, tracking, and control. Learn how to program all the major systems of a robotic car from the leader of Google and Stanford's autonomous driving teams. This class will teach you basic methods in Artificial Intelligence, including: probabilistic inference, planning and search, localization, tracking and control, all with a focus on robotics. Extensive programming examples and assignments will apply these methods in the context of building self-driving cars.

Self Paced
Self-Paced
Preparing for the Google Cloud Professional Data Engineer Exam (Coursera) Coursera
Google Cloud

Preparing for the Google Cloud Professional Data Engineer Exam (Coursera)

From the course: "The best way to prepare for the exam is to be competent in the skills required of the job." This course uses a top-down approach to recognize knowledge and skills already known, and to surface information and skill areas for additional preparation. You can use this course to help create your own custom preparation plan. It helps you distinguish what you know from what you don't know. And it helps you develop and practice skills required of practitioners who perform this job.

Jun 13th 2026
5-12 Weeks
Neural Networks and Deep Learning (Coursera) Coursera
DeepLearning.AI

Neural Networks and Deep Learning (Coursera)

If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new "superpower" that will let you build AI systems that just weren't possible a few years ago. In this course, you will learn the foundations of deep learning.

Jun 8th 2026
4 Weeks
Fundamentals of Reinforcement Learning (Coursera) Coursera
University of Alberta,Alberta Machine Intelligence Institute

Fundamentals of Reinforcement Learning (Coursera)

Reinforcement Learning is a subfield of Machine Learning, but is also a general purpose formalism for automated decision-making and AI. This course introduces you to statistical learning techniques where an agent explicitly takes actions and interacts with the world. Understanding the importance and challenges of learning agents that make decisions is of vital importance today, with more and more companies interested in interactive agents and intelligent decision-making.

Jun 8th 2026
4 Weeks
Guided Tour of Machine Learning in Finance (Coursera) Coursera
New York University

Guided Tour of Machine Learning in Finance (Coursera)

This course aims at providing an introductory and broad overview of the field of ML with the focus on applications on Finance. Supervised Machine Learning methods are used in the capstone project to predict bank closures. Simultaneously, while this course can be taken as a separate course, it serves as a preview of topics that are covered in more details in subsequent modules of the specialization Machine Learning and Reinforcement Learning in Finance.

Jun 8th 2026
4 Weeks
Building Scalable Java Microservices with Spring Boot and Spring Cloud (Coursera) Coursera
Google Cloud

Building Scalable Java Microservices with Spring Boot and Spring Cloud (Coursera)

"Microservices" describes a software design pattern in which an application is a collection of loosely coupled services. These services are fine-grained, and can be individually maintained and scaled. The microservices architecture is ideal for the public cloud, with its focus on elastic scaling with on-demand resources. In this course, you will learn how to build Java applications using Spring Boot and Spring Cloud on Google Cloud Platform.

Jun 9th 2026
2 Weeks
Big Data Analytical Platform on Alibaba Cloud (Coursera) Coursera
Alibaba Cloud Academy

Big Data Analytical Platform on Alibaba Cloud (Coursera)

Building an Analytical Platform on Alibaba Cloud can empower how you take in, analyze, and demonstrate clear metrics from a set of Big Data. This course is designed to teach engineers how to use Alibaba Cloud Big Data products. It covers basic distributed system theory and Alibaba Cloud's core products like MaxCompute, DataWorks, E-MapReduce as well as a bundle of ecosystem tools.

Jun 8th 2026
5-12 Weeks
Intro to Deep Learning with PyTorch (Udacity) Udacity
Udacity,Facebook

Intro to Deep Learning with PyTorch (Udacity)

Use PyTorch to implement your first deep neural network. In this course, you’ll learn the basics of deep learning, and build your own deep neural networks using PyTorch. You’ll get practical experience with PyTorch through coding exercises and projects implementing state-of-the-art AI applications such as style transfer and text generation.

Self Paced
Self-Paced
Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud (Coursera) Coursera
University of Illinois at Urbana-Champaign

Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud (Coursera)

Welcome to the Cloud Computing Applications course, the second part of a two-course series designed to give you a comprehensive view on the world of Cloud Computing and Big Data! In this second course we continue Cloud Computing Applications by exploring how the Cloud opens up data analytics of huge volumes of data that are static or streamed at high velocity and represent an enormous variety of information. Cloud applications and data analytics represent a disruptive change in the ways that society is informed by, and uses information.

Jun 8th 2026
4 Weeks
New Technologies for Business Leaders (Coursera) Coursera
Rutgers University

New Technologies for Business Leaders (Coursera)

This introductory course is developed for high-level business people (and those on their way) who want a broad understanding of new Information Technologies and understand their potential for business functions (e.g. marketing, supply change management, finance). This is not a course for people looking for guidance on how to become a deep technical expert or implement these technologies.

Jun 8th 2026
5-12 Weeks