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

Knowledge-Based AI: Cognitive Systems (Udacity) Udacity
Georgia Institute of Technology,Udacity

Knowledge-Based AI: Cognitive Systems (Udacity)

The Core of Artificial Intelligence. This is a core course in artificial intelligence. It is designed to be a challenging course, involving significant independent work, readings, assignments, and projects. It covers structured knowledge representations, as well as knowledge-based methods of problem solving, planning, decision-making, and learning.

Self Paced
Self-Paced
Responsible AI in the Generative AI Era (Coursera) Coursera
Fractal Analytics

Responsible AI in the Generative AI Era (Coursera)

This one-week microlearning course provides an introduction to the Principles of Responsible AI and how those principles align with the Generative AI or GenAI space. It also informs the learners about the various challenges that Generative AI brings. You will explore the fundamental principles of responsible AI, and understand the need for developing Generative AI tools responsibly.

Nov 23rd 2026
1 Week
Introduction to Large Language Models with Google Cloud (Udacity) Udacity
Udacity,Google Cloud

Introduction to Large Language Models with Google Cloud (Udacity)

Learn how large language models can be utilized and how you can use prompt tuning to enhance LLM performance. This is an introductory level course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you develop your own Gen AI apps. Most students will be able to complete this course in under an hour.

Self Paced
Self-Paced
Preparing for the Google Cloud Professional Cloud Architect Exam en Español (Coursera) Coursera
Google Cloud

Preparing for the Google Cloud Professional Cloud Architect Exam en Español (Coursera)

Del curso: "La mejor manera de prepararse para el examen es ser competente en las habilidades necesarias para el trabajo". Este curso usa un enfoque descendente para reconocer el conocimiento y las habilidades que ya se adquirieron, así como para resaltar la información y las habilidades necesarias para seguir preparándose. Puede usar este curso a fin de crear su propio plan de preparación personalizado. Lo ayudará a diferenciar lo que ya sabe de lo que no, y a desarrollar y a practicar las habilidades que se requieren de los profesionales que realizan este trabajo.

Nov 23rd 2026
1 Week
Attention Mechanism with Google Cloud (Udacity) Udacity
Udacity,Google Cloud

Attention Mechanism with Google Cloud (Udacity)

Learn how the attention mechanism works and can be applied to machine translation. This course will introduce you to the attention mechanism, a powerful technique that allows neural networks to focus on specific parts of an input sequence. You will learn how attention works, and how it can be used to improve the performance of a variety of machine learning tasks, including machine translation, text summarization, and question answering.

Self Paced
Self-Paced
Intel® Edge AI Fundamentals with OpenVINO™ (Udacity) Udacity
Udacity

Intel® Edge AI Fundamentals with OpenVINO™ (Udacity)

Develop cutting-edge Edge AI applications. Stay at the cutting-edge of AI technology by gaining practical skills for deploying edge AI. Learn how to use the Intel® Distribution of the OpenVINO™ toolkit to deploy computer vision capabilities inside a range of edge applications. Leverage the potential of edge computing and use the Intel® Distribution of the OpenVINO™ toolkit to fast-track development of high-performance computer vision and deep learning inference applications.

Self Paced
Self-Paced
Introduction to Generative AI with Google Cloud (Udacity) Udacity
Udacity,Google Cloud

Introduction to Generative AI with Google Cloud (Udacity)

Learn what Generative AI is, how it is used, and how it differs from traditional machine learning methods. This is an introductory level course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps. This course is estimated to take less than an hour to complete.

Self Paced
Self-Paced
Math for AI beginner part 1 Linear Algebra (Coursera) Coursera
Korea Advanced Institute of Science and Technology - KAIST

Math for AI beginner part 1 Linear Algebra (Coursera)

'Learn concept of AI such as machine learning, deep-learning, support vector machine which is related to linear algebra. Learn how to use linear algebra for AI algorithm. After completing this course, you are able to understand AI algorithm and basics of linear algebra for AI applications.

Nov 23rd 2026
5-12 Weeks