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

Hands on Machine Learning Project – Auto Image Captioning for Social Media is a practical, project-based course that teaches you how to build an AI-powered image captioning system from scratch. Combining machine learning, deep learning, and computer vision, you’ll create a real application that automatically generates captions for images, an increasingly valuable skill for social media, content creation, and digital marketing.

You’ll learn how to prepare image and text datasets, train an image captioning model, and generate accurate captions using modern machine learning techniques. The course also covers deploying your application with Streamlit and AWS, giving you hands-on experience in building and launching an end-to-end AI application for real-world use.

Whether you’re interested in artificial intelligence, computer vision, deep learning projects, or practical machine learning with Python, this course helps you gain valuable, job-ready skills while building an impressive portfolio project. No advanced experience is required, just a willingness to learn by building.

Learning Outcomes

• Prepare and clean image and text data ready for a machine learning model
• Build and train a model that generates captions automatically from pictures
• Apply tokenisation techniques to convert text into a format models can learn from
• Evaluate and test a trained model to check how accurately it performs
• Turn a working model into a live, usable web application
• Deploy a machine learning app to the cloud using AWS
• Complete a full, hands-on project suited to social media and content platforms