Anomaly Detection Courses and Certifications

Credential

AI for Cybersecurity

126 ratings at Coursera

Master AI-driven cybersecurity techniques to detect and mitigate threats, analyze malware, prevent fraud, and secure AI systems against adversarial attacks. Gain practical skills for emerging digital security challenges.

• Coursera
• 12 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 3 courses

Introduction to Intrusion Detection Systems (IDS)

Master essential cybersecurity skills through hands-on experience with Host-Based and Network-Based Intrusion Detection Systems. Configure tools, develop custom rules, and learn to protect systems from sophisticated cyber threats.

• Coursera
• 2 days 3 hours 36 minutes
• Self-Paced
• Paid Course

Data Analytics Foundations for Accountancy II

11 ratings at Coursera

Explore machine learning concepts, algorithms, and practical applications in data analytics using Python. Gain skills in classification, regression, clustering, and anomaly detection for business insights.

• Coursera
• 2 days 22 hours 1 minute
• Self-Paced
• Paid Course

AT&T

Model Building and Validation

6 ratings

This course will teach you how to start from scratch in understanding and paying attention to what is important in the data and how to answer questions about data.

• Udacity
• 4 hours
• Self-Paced
• Free Online Course

Impact of Generative AI on Cyber Security

4391 ratings at Udemy

Code, Chaos, and Cyber Shields - A silent battle.

• Udemy
• 2 hours 51 minutes
• Self-Paced
• Paid Course

Exploratory Analytics Project Ideation

Dive into exploratory analytics methods like clustering and anomaly detection, then learn to ideate and plan data-driven projects using design sprint frameworks for effective business solutions.

• Coursera
• 14 hours 50 minutes
• Self-Paced
• Paid Course

Machine Learning- From Basics to Advanced

2337 ratings at Udemy

A beginners guide to learn Machine Learning (including Hands-on projects - From Basic to Advance Level)

• Udemy
• 6 hours 49 minutes
• Self-Paced
• Paid Course

AI Security Essentials

1451 ratings at Udemy

Master essential security practices for AI systems, from protecting models and datasets to addressing ethical concerns and regulatory requirements while gaining expertise in emerging threats from generative AI.

• Udemy
• 2 hours 44 minutes
• Self-Paced
• Paid Course

Credential

Cyber Security: Essentials for AI

36 ratings at Coursera

Master AI-driven cyber defense, secure AI systems from threats, and implement robust data protection frameworks in this comprehensive specialization from Macquarie University.

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

Advanced Data Analysis with Generative AI

56 ratings at Coursera

Master advanced data analysis techniques using generative AI for predictive modeling, time-series forecasting, text analysis, and anomaly detection. Enhance your ability to uncover hidden patterns and extract valuable insights from complex datasets.

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

Cyber Security: Application of AI

Discover how AI and ML revolutionize cyber defense through hands-on threat detection, network analysis, malware identification, and adversarial attack mitigation techniques.

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

AI for Cyber Security

Discover how AI and ML revolutionize cyber defense through hands-on threat detection, network analysis, malware identification, and adversarial attack mitigation techniques.

• Coursera
• 14 hours 51 minutes
• Self-Paced
• Paid Course

Generative AI: Elevate your Business Intelligence Career

35 ratings at Coursera

Leverage generative AI across BI lifecycle: data handling, analysis, visualization, and reporting. Learn ethical considerations and future trends through hands-on labs and real-world case studies.

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

MathWorks Credential

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

Generative AI for Data Science

27 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