Coursera

Create Image Captioning Models (Coursera)

Offered by Google Cloud,
Create Image Captioning Models (Coursera)

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. 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.

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

What You Will Learn

  • 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.

Syllabus

WEEK 1
Create Image Captioning Models: Overview
This module 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. By the end of this module, you will be able to create your own image captioning models and use them to 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

Deep Learning Applications for Computer Vision (Coursera) Coursera
University of Colorado Boulder

Deep Learning Applications for Computer Vision (Coursera)

Data Science

This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics.

Oct 12th 2026
5-12 Weeks
Machine Learning Neural Networks Computer Vision
Details
Sequence Models (Coursera) Coursera
DeepLearning.AI

Sequence Models (Coursera)

Data Science

This course will teach you how to build models for natural language, audio, and other sequence data. Thanks to deep learning, sequence algorithms are working far better than just two years ago, and this is enabling numerous exciting applications in speech recognition, music synthesis, chatbots, machine translation, natural language understanding, and many others.

Sep 28th 2026
3 Weeks
Machine Learning Deep Learning Artificial Neural Networks
Details
Probabilistic Deep Learning with TensorFlow 2 (Coursera) Coursera
Imperial College London

Probabilistic Deep Learning with TensorFlow 2 (Coursera)

Data Science

Welcome to this course on Probabilistic Deep Learning with TensorFlow! This course builds on the foundational concepts and skills for TensorFlow taught in the first two courses in this specialisation, and focuses on the probabilistic approach to deep learning. This is an increasingly important area of deep learning that aims to quantify the noise and uncertainty that is often present in real world datasets. This is a crucial aspect when using deep learning models in applications such as autonomous vehicles or medical diagnoses; we need the model to know what it doesn't know.

Sep 21st 2026
5-12 Weeks
TensorFlow Deep Learning TensorFlow 2
Details
Deep Learning for Business (Coursera) Coursera
Yonsei University

Deep Learning for Business (Coursera)

Management & Leadership

Your smartphone, smartwatch, and automobile (if it is a newer model) have AI (Artificial Intelligence) inside serving you every day. In the near future, more advanced “self-learning” capable DL (Deep Learning) and ML (Machine Learning) technology will be used in almost every aspect of your business and industry. So now is the right time to learn what DL and ML is and how to use it in advantage of your company. This course has three parts, where the first part focuses on DL and ML technology based future business strategy including details on new state-of-the-art products/services and open source DL software, which are the future enablers.

Sep 21st 2026
5-12 Weeks
Business ML Artificial Intelligence
Details
Deep Learning and Reinforcement Learning (Coursera) Coursera
IBM

Deep Learning and Reinforcement Learning (Coursera)

Data Science

This course introduces you to two of the most sought-after disciplines in Machine Learning: Deep Learning and Reinforcement Learning. Deep Learning is a subset of Machine Learning that has applications in both Supervised and Unsupervised Learning, and is frequently used to power most of the AI applications that we use on a daily basis. First you will learn about the theory behind Neural Networks, which are the basis of Deep Learning, as well as several modern architectures of Deep Learning.

Sep 28th 2026
5-12 Weeks
Calculus Python Statistics
Details
Practical Machine Learning on H2O (Coursera) Coursera
H2O.ai

Practical Machine Learning on H2O (Coursera)

Data Science

In this course, we will learn all the core techniques needed to make effective use of H2O. Even if you have no prior experience of machine learning, even if your math is weak, by the end of this course you will be able to make machine learning models using a variety of algorithms. We will be using linear models, random forest, GBMs and of course deep learning, as well as some unsupervised learning algorithms.

Oct 12th 2026
5-12 Weeks
Machine Learning Data Science Linear Models
Details
Introduction to Deep Learning & Neural Networks with Keras (Coursera) Coursera
IBM

Introduction to Deep Learning & Neural Networks with Keras (Coursera)

Data Science

Looking to start a career in Deep Learning? Look no further. This course will introduce you to the field of deep learning and help you answer many questions that people are asking nowadays, like what is deep learning, and how do deep learning models compare to artificial neural networks? You will learn about the different deep learning models and build your first deep learning model using the Keras library.

Sep 28th 2026
5-12 Weeks
Artificial Intelligence Machine Learning Neural Networks
Details
Introduction to Artificial Intelligence (AI) (Coursera) Coursera
IBM

Introduction to Artificial Intelligence (AI) (Coursera)

Data Science

In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and terms like machine learning, deep learning and neural networks. You will be exposed to various issues and concerns surrounding AI such as ethics and bias, & jobs, and get advice from experts about learning and starting a career in AI. You will also demonstrate AI in action with a mini project.

Sep 28th 2026
4 Weeks
Artificial Intelligence Machine Learning Job
Details
Recommender Systems (Coursera) Coursera
Sungkyunkwan University - SKKU

Recommender Systems (Coursera)

Statistics & Data Analysis Data Science

In this course you will: a) understand the basic concept of recommender systems; b) understand the Collaborative Filtering; c) understand the Recommender System with Deep Learning; d) understand the Further Issues of Recommender Systems. Please make sure that you’re comfortable programming in Python and have a basic knowledge of mathematics including matrix multiplications, conditional probability, and basic machine learning algorithms.

Oct 12th 2026
4 Weeks
Recommender Systems Deep Learning Coursera Plus
Details
Structuring Machine Learning Projects (Coursera) Coursera
DeepLearning.AI

Structuring Machine Learning Projects (Coursera)

Data Science

You will learn how to build a successful machine learning project. If you aspire to be a technical leader in AI, and know how to set direction for your team's work, this course will show you how. Much of this content has never been taught elsewhere, and is drawn from my experience building and shipping many deep learning products. This course also has two "flight simulators" that let you practice decision-making as a machine learning project leader. This provides "industry experience" that you might otherwise get only after years of ML work experience.

Sep 28th 2026
2 Weeks
ML Machine Learning Data Analysis
Details