Create Image Captioning Models Training Logo

Create Image Captioning Models Training

Live Online & Classroom Enterprise Training

Learn how to build intelligent AI models that automatically generate descriptive captions for images using deep learning, computer vision, and natural language processing techniques.

Looking for a private batch ?

REQUEST A CALLBACK

Need help finding the right training?

Your Message

  • Enterprise Reporting

  • Lifetime Access

  • CloudLabs

  • 24x7 Support

  • Real-time code analysis and feedback

What is Create Image Captioning Models Course about?

This course provides a hands-on introduction to building Image Captioning systems by combining Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) or Transformer-based architectures. You will learn how to preprocess image and text datasets, design and train deep learning models, evaluate caption quality, and deploy models for real-world applications such as accessibility tools, content automation, and visual search systems.

What are the objectives of Create Image Captioning Models Course ?

  • Understand fundamentals of computer vision and NLP integration
  • Build end-to-end image captioning deep learning models
  • Train models using real-world datasets
  • Evaluate model performance using standard metrics
  • Deploy captioning models into production environments

Who is Create Image Captioning Models Course for?

  • Machine Learning Engineers
  • Data Scientists and AI Developers
  • Computer Vision Engineers
  • Software Developers moving into AI
  • Researchers and Students in AI/ML

What are the prerequisites for Create Image Captioning Models Course?

Prerequisites:

  • Basic Python programming knowledge
  • Understanding of Machine Learning fundamentals
  • Familiarity with Deep Learning concepts
  • Basic knowledge of Neural Networks
  • Experience with libraries like TensorFlow or PyTorch 


Learning Path:

  • Foundations of Computer Vision and NLP
  • Deep Learning for Image Feature Extraction
  • Sequence Modeling for Caption Generation
  • Model Training, Optimization, and Evaluation
  • Deployment and Real-World Implementation


Related Courses:

  • Deep Learning for Computer Vision
  • Natural Language Processing with Deep Learning
  • Building AI Models using TensorFlow or PyTorch
  • Advanced Neural Networks and Transformers

Available Training Modes

Live Online Training

2 Days

Course Outline Expand All

Expand All

  • Understanding the concept of image captioning
  • Real-world applications of image captioning
  • Exploring the encoder-decoder architecture
  • Role of convolutional neural networks (CNNs) in encoding images
  • Utilizing recurrent neural networks (RNNs) for decoding captions
  • Preparing datasets for training
  • Implementing the training process
  • Evaluating model performance
  • Using the trained model to generate captions for new images
  • Improving caption quality and accuracy

Who is the instructor for this training?

The trainer for this Create Image Captioning Models Training has extensive experience in this domain, including years of experience training & mentoring professionals.

Reviews