AI Capstone Project with Deep Learning
By External Provider
About this course
Ready to apply your AI skills in a real-world scenario you can showcase in your portfolio? During this project, you’ll work with the deep learning skills you’ve acquired throughout the Professional Certificate, and we recommend that you have completed all the previous courses before starting this one. For this project, you’ll build and compare deep learning models using Keras and PyTorch, and work through a full development pipeline from data loading and augmentation to model training, evaluation, and deployment. You’ll apply convolutional neural networks (CNNs) and vision transformers to domain-specific challenges. Then, finally, you’ll assess performance using metrics like accuracy, precision, and inference speed. By the end of the project, you’ll be able to demonstrate your skills in building and comparing models using Keras and PyTorch. Plus, you’ll be able to showcase that you can implement CNNs and vision transformers and evaluate your model’s performance. If you’re ready to complete a portfolio-worthy capstone project, enroll today!
What you will learn
- Demonstrate your hands-on skills in building deep learning models using Keras and PyTorch to solve real-world image classification problems
- Showcase your expertise in designing and implementing a complete deep learning pipeline, including data loading, augmentation, and model validation
- Highlight your practical skills in applying CNNs and vision transformers to domain-specific challenges like geospatial land classification
- Communicate your project outcomes effectively through a model evaluation