Facial Recognition Courses and Certifications

Coursera

Deep Learning with PyTorch : Siamese Network

49 ratings at Coursera

Implement a Siamese Network with PyTorch for person re-identification using Triplet loss function. Learn to create Anchor, Positive, and Negative image datasets and train feature embeddings.

• Coursera
• 2 hours
• Self-Paced
• Paid Course

Building Applications with Vector Databases

19 ratings at Coursera

Explore six innovative applications using vector databases, from semantic search to anomaly detection, enhancing your ability to build powerful AI-driven tools with minimal coding.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Paid Course

EDUCBA

Azure Practical - Cognitive Services

10 ratings at Coursera

Discover how to build intelligent applications using Microsoft Azure Cognitive Services through hands-on training in vision, speech, language processing, and AI-powered decision-making.

• Coursera
• 13 hours 19 minutes
• Self-Paced
• Paid Course

AI-3004: Build an Azure AI Vision Solution with Azure AI Services (Live Online)

8 ratings at CourseHorse

Master AI vision solutions with Azure AI services in this hands-on course.

• CourseHorse
• 6 hours
• Self-Paced
• $595.00

Deploying a Python Flask Web Application to App Engine Flexible

Learn to deploy a Flask-based facial recognition web app on App Engine Flexible, integrating Cloud Vision API for image analysis and user photo uploads.

• Coursera
• 45 minutes
• Self-Paced
• Paid Course

Packt

Computer Vision: Face Recognition Quick Starter in Python

Learn face recognition in Python, from setup to advanced topics like facial expression, age, and gender detection. Implement real-time face detection, recognition, and makeup using libraries like OpenCV.

• Coursera
• 7 hours 41 minutes
• Self-Paced
• Paid Course

EDUCBA

Master OpenCV Fundamentals for Real-Time Computer Vision

Discover essential OpenCV techniques for image processing, geometric transformations, and real-time face recognition using Python in hands-on projects.

• Coursera
• 6 hours 22 minutes
• Self-Paced
• Paid Course

EDUCBA Credential

Apply OpenCV for Real-Time Computer Vision Projects

Master OpenCV fundamentals through hands-on projects including face detection, recognition, video analysis, and gesture control for real-time computer vision applications.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 5 courses

EDUCBA Credential

Keras Deep Learning Projects with TensorFlow

Master hands-on deep learning with Keras and TensorFlow through real-world projects in chatbots, sentiment analysis, image classification, and face recognition for job-ready AI skills.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

EDUCBA

Face Recognition with Keras: Detect & Classify

Discover how to build advanced face recognition systems using Keras, from CNN foundations and MTCNN detection to FaceNet embeddings and real-world deployment strategies.

• Coursera
• 5 hours 35 minutes
• Self-Paced
• Paid Course

EDUCBA

Machine Learning in Python: Analyze & Apply

Master Python's data science ecosystem through hands-on machine learning fundamentals, NumPy, Matplotlib, Pandas, and scikit-learn with advanced applications like face recognition and sentiment analysis.

• Coursera
• 13 hours 53 minutes
• Self-Paced
• Paid Course

Ethics in GenAI for Software Engineering Training

Explore ethical frameworks and legal considerations for responsible GenAI use in software development, covering bias mitigation and compliance strategies.

• Coursera
• 3 hours 55 minutes
• Self-Paced
• Paid Course

EDUCBA

Build Real-Time Face Recognition with OpenCV

Master computer vision fundamentals and build real-time face recognition systems using OpenCV and Python through hands-on projects and edge detection techniques.

• Coursera
• 4 hours 52 minutes
• Self-Paced
• Paid Course

EDUCBA

Master AWS Rekognition: Analyze, Detect, and Automate

Unlock AWS Rekognition's power to analyze images, detect faces/objects, extract text, moderate content, and build automated serverless workflows with Lambda integration.

• Coursera
• 6 hours 22 minutes
• Self-Paced
• Paid Course

Deep Learning Intuition - Lecture 2

Explore deep learning intuition with Stanford experts, covering logistic regression, face verification, neural architectures, and advanced applications in computer vision and image processing.

• YouTube
• 1 hour 23 minutes
• Self-Paced
• Free Video