Hands on Machine Learning Project - Auto Image Captioning for Social Media Course

Description

The Machine Learning Project – Auto Image Captioning for Social Media Course focuses on the application of machine learning techniques used to generate meaningful text descriptions for images shared on digital platforms. This course explores how algorithms analyse visual data and convert it into engaging captions that support content strategy, audience reach, and platform visibility. Learners gain insight into the structure of image captioning models, including data preparation, model selection, and performance evaluation, all presented in a clear and accessible format.

Designed for those interested in artificial intelligence and social media technology, this course highlights how automated captioning supports consistency, efficiency, and scalability in online content creation. The curriculum explains the role of deep learning, neural networks, and language modelling in modern caption generation systems, with examples aligned to social media use cases. Ideal for career development and knowledge expansion, the course supports CV enhancement and professional growth through CPD-accredited learning, without implying formal qualification or job assurance.

Learning Outcomes:

The Hands-on Machine Learning Project - Auto Image Captioning for Social Media Platform course is designed to give you a comprehensive understanding of how to develop an auto image captioning system using machine learning. The course covers topics such as importing libraries, preprocessing text and image data, defining and evaluating the model, and deploying your machine learning app on AWS EC2 instance. You'll have access to the caption dataset and image dataset for training and test purposes, providing you with hands-on experience in machine learning app development.

This course is perfect for aspiring data scientists, machine learning engineers, and developers who want to gain real-world experience in machine learning app development. With the skills and knowledge gained from this course, you'll be able to create your own auto image captioning system and start a career in the exciting field of machine learning.

⊱⊱ Hands on Machine Learning Project - Auto Image Captioning for Social Media Course Curriculum

Section 01: Introduction

Section 02: Building the Auto Image Captioning

Section 03: Deployment of Machine Learning App

How is the course assessed?

Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%.

Exam & Retakes:
It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable.

Certification
Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery).

CPD

10 CPD hours / points Accredited by CPD Quality Standards

Who is this course for?

Requirements

There are no formal entry requirements for the course, with enrollment open to anyone!

Career path

Certificates

Certificate of completion

Digital certificate - £9

You can apply for a CPD Accredited PDF Certificate at the cost of £9.

Certificate of completion

Hard copy certificate - £15

Hard copy can be sent to you via post at the expense of £15.