Anomaly Detection Courses and Certifications

MathWorks Career Certificate

Deep Learning for Computer Vision

35 ratings at Coursera

Hands-on specialization in deep learning for computer vision, covering image classification, object detection, and advanced techniques. Gain practical skills using MATLAB for real-world applications.

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

Coursera

PowerBI for Beginners: Data transformation

29 ratings at Coursera

Master data transformation techniques in PowerBI through hands-on practice with flight data, focusing on cleaning, merging datasets, and handling inconsistencies for effective predictive modeling and analysis.

• Coursera
• 1 hour 46 minutes
• Self-Paced
• Paid Course

Generative AI for Data Science

28 ratings at Coursera

Unlock GenAI's potential in data science: enhance accuracy, efficiency, and innovation. Learn key applications, tackle real-world challenges, and address ethical considerations in this comprehensive course.

• Coursera
• 3 hours 17 minutes
• Self-Paced
• Paid Course

Intro to Artificial Intelligence on Microsoft Azure

23 ratings at Coursera

Explore AI concepts on Azure, including machine learning, computer vision, and NLP. Learn to build ethical AI solutions and prepare for the AI-900 certification exam.

• Coursera
• 3 hours 43 minutes
• 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

Coursera

Time Series Data Visualization And Analysis Techniques

19 ratings at Coursera

Learn techniques for visualizing and analyzing time series data, including line charts, bar charts, and boxplots. Explore color mapping and methods for detecting outliers, key moments, and overall trends.

• Coursera
• 1 hour 51 minutes
• Self-Paced
• Paid Course

Network Traffic Analysis with Wireshark

17 ratings at Coursera

Master Wireshark for cybersecurity through hands-on network traffic analysis, learning to capture packets, detect threats, identify attack patterns, and create professional security reports for incident response.

• Coursera
• 12 hours 43 minutes
• Self-Paced
• Paid Course

Advanced AI Techniques for the Supply Chain

15 ratings at Coursera

Explore advanced ML techniques for supply chain optimization, including neural networks for demand prediction and image classification for quality control.

• Coursera
• 22 hours 9 minutes
• Self-Paced
• Paid Course

MathWorks

Advanced Deep Learning Techniques for Computer Vision

15 ratings at Coursera

Train anomaly detectors, generate synthetic images, use AI-assisted labeling, and create custom models for visual inspection and medical imaging applications. Overcome data challenges and explore model deployment options.

• Coursera
• 7 hours 29 minutes
• Self-Paced
• Paid Course

EDUCBA

Linear Regression & Supervised Learning in Python

14 ratings at Coursera

Master linear regression and supervised learning fundamentals through hands-on Python projects, from data analysis to model evaluation and prediction techniques.

• Coursera
• 5 hours 24 minutes
• Self-Paced
• Paid Course

Manage Security Operations

12 ratings at Coursera

Learn to protect Azure resources using Azure Monitor, Microsoft Defender for Cloud, and Microsoft Sentinel. Configure metrics, logs, and alerts for enhanced security operations and threat detection.

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

Packt Career Certificate

R Ultimate 2024 - R for Data Science and Machine Learning

5 ratings at Coursera

Master R programming for data science and machine learning, covering fundamentals to advanced techniques in statistical analysis, visualization, and AI applications.

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

Coursera

Wireshark for Security: Detect Network Anomalies

Master network security analysis with Wireshark to detect anomalies, capture packets, and identify potential cyber threats through hands-on practice with real-time traffic monitoring and filtering techniques.

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

Unsupervised Learning and Its Applications in Marketing

Explore unsupervised learning techniques in Python for marketing insights. Uncover customer segments, reduce data dimensions, detect anomalies, and build recommender systems to drive data-driven marketing strategies.

• Coursera
• 21 hours 43 minutes
• Self-Paced
• Paid Course

Coursera

GenAI for Fraud Analysts: Improving Detection Efficiency

Master cutting-edge GenAI techniques to enhance fraud detection capabilities, automate compliance workflows, and stay ahead of sophisticated fraud schemes using tools like Python, ChatGPT, and data visualization.

• Coursera
• 2 hours 48 minutes
• Self-Paced
• Paid Course