Udacity - Computer Vision Nanodegreerar Apr 2026

This is an program. To succeed, students should have:

: Explores complex architectures such as region-based CNNs, the YOLO algorithm for object detection, and combining CNNs with Recurrent Neural Networks (RNNs) for image captioning.

The curriculum is divided into three primary sections, totaling approximately of coursework: Udacity - Computer Vision Nanodegreerar

: Covers how robots perceive and navigate their environment using Bayesian filters, Kalman Filters, and Simultaneous Localization and Mapping ( SLAM ). Key Projects and Skills

: Building a system to map facial features (eyes, nose, mouth) using image processing and CNNs. This is an program

The (ND891) is an advanced program designed to teach students how to combine deep learning with image processing to build complex AI systems like autonomous vehicle navigation and medical diagnostics. Program Overview and Structure

: Implementing SLAM to allow an autonomous vehicle to map its surroundings while tracking its own location. Prerequisites and Commitment Key Projects and Skills : Building a system

Students complete three major reviewed projects to build a professional portfolio: