Badge Overview

Deep Learning  Deep Learning

Published Public {} Badge Class Data

Deep Learning

Deep Learning

Issued by Hood College

Badge Description

The Deep Learning badge introduces the field of deep neural network-enabled machine learning with applications in computer vision and natural language processing. Deep learning is behind many recent advances in artificial intelligence, including speech recognition and self-driving cars. Learners work on big data projects using cloud resources from fastest supercomputers in the world.

Skills Deep Learning Artificial Intelligence Computer Vision Natural Language Processing (NLP) Machine Learning Frameworks

Badge Criteria

This ADVANCED level badge is equivalent to a 3-credit, master's-level course. Earning a grade of B or better is required for this badge.

1. Design, implement and train deep learning models, including CNNs, RNNs and Transformers. 2. Use frameworks like TensorFlow and PyTorch to build and optimize models. 3. Process large datasets on cloud platforms (AWS, Google Cloud) or high-performance computing systems. 4. Evaluate model performance using metrics (accuracy, precision-recall) and debugging techniques (e.g., overfitting, vanishing gradients). 5. Apply model explainability tools (e.g., SHAP, LIME) to interpret predictions. 6. Build solutions for computer vision tasks (image classification, object detection) and NLP tasks (text summarization, translation). 7. Develop an end-to-end project portfolio showcasing data preprocessing, training and deployment of deep learning models. 8. Analyze deep learning research papers to understand state-of-the-art advancements. 9. Address ethical challenges in AI, including bias, fairness and privacy concerns. 10. Deploy models at scale using Docker/Kubernetes and integrate cloud resources. 11. Collaborate on team projects and apply professional tools such as Git and version control.

Aligned Outcomes