Artificial Intelligence Application Development Certificate
Issued by
UCSC Silicon Valley Extension
Students utilized AI Application Development skills in deep learning for data manipulation, statistical analysis, and modeling. They explored industry implications and opportunities associated with AI and how to harness the technology with process integration and enhanced workflows. They built deep learning prediction models from linear logistic regression to categories of neural networks. Students selected an advanced area of study (RL, NLP, GANs) in the industry-oriented capstone project.
- Type Learning
- Level Advanced
- Time Months
- Cost Paid
Skills
- AI
- AI Applications
- AI Integration And Implementation
- Application Development
- Applications Of Artificial Intelligence
- Artificial Intelligence
- Artificial Neural Networks
- Computer Vision
- Convolutional Neural Network (CNN)
- Convolutional Neural Networks (CNNs)
- Data Engineering
- Data Manipulation
- Data Science
- Deep Learning
- Enterprise AI Applications
- Generative Adversarial Networks
- Generative Adversarial Networks (GANs)
- Logistic Regression
- Long Short-Term Memory (LSTM)
- Long Short-Term Memory (LSTMs)
- Machine Learning
- Natural Language Processing
- Natural Language Processing (NLP)
- NLP
- Predictive Modeling
- Process Integration
- Recurrent Neural Networks (RNN)
- Recurrent Neural Networks (RNNs)
- Reinforcement Learning (RL)
- Robotics
- Software Development
- Statistical Analysis
- Workflow Management
Earning Criteria
-
Completed two core courses: Deep Learning and Artificial Intelligence; and Introduction to Machine Learning; as well as at least two electives, and Capstone course. Met all requirements for the Artificial Intelligence Application Development Certificate. Earned 14 units.