Anomaly Detection Courses and Certifications

Coursera

Validate LLM Embeddings for Production Use

Master validation and deployment of embedding models for production semantic search systems using FAISS, UMAP, and systematic evaluation techniques.

• Coursera
• 4 hours 18 minutes
• Self-Paced
• Paid Course

Packt

Getting Started with Vector Databases and AI Embeddings

Unlock vector databases and AI embeddings to build smarter AI systems with semantic search, recommendation engines, and RAG applications through hands-on practice.

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

Coursera

Secure Data: Mask, Monitor, and Audit

Master column-level data masking, audit log analysis, and security compliance evaluation to protect enterprise data assets and detect threats effectively.

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

Coursera

AppDynamics (Advanced)

Master advanced AppDynamics capabilities for performance tuning, anomaly detection, and intelligent alerting in mission-critical enterprise environments.

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

Packt

Kibana 8.x – A Quick Start Guide to Data Analysis

Master Kibana 8.x for data exploration, visualization, and dashboard creation with hands-on ML analytics, real-time updates, and advanced querying techniques.

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

Computer Science 330: Critical Infrastructure Security

Explore industrial network security, design, and protocols. Learn risk assessment, threat detection, and protection strategies for critical infrastructure and SCADA systems.

• Study.com
• 11 hours 36 minutes
• Self-Paced
• Paid Course

Coursera

Edge AI and Nanotechnology: Nanoscale Data Processing

Master edge AI data pipelines for nanoscale sensor systems—covering ingestion, anomaly detection, serialization, streaming, and automated testing to build production-ready, low-latency solutions.

• Coursera
• 5 weeks, 1 hour a week
• Self-Paced
• Paid Course

Career Certificate

Microsoft Advanced Analytics Techniques with Generative AI

Master advanced analytics by combining R, Power BI, Excel, and Azure with generative AI to build predictive models, automate workflows, and deliver strategic insights across five hands-on courses.

• Coursera
• Self-Paced
• Paid Course
• 5 courses

AI Applications and Challenges for Auditors (Live Online)

Explore how AI can support and challenge audit practices, from data analysis to reporting.

• CourseHorse
• 8 hours
• Self-Paced
• $649.00

AI-Driven Insights, Validation and Scenario Modeling

Master AI-driven financial analysis using Power BI, Excel, and Microsoft Copilot to validate insights, detect anomalies, build scenario models, and communicate strategic recommendations to executive stakeholders.

• Coursera
• 12 weeks, 1 hour a week
• Self-Paced
• Paid Course

Campaign Performance Analytics

Master campaign analytics with Microsoft Power BI—build real-time dashboards, detect KPI anomalies, trigger Teams alerts, and craft executive-ready data narratives using the Insight → Evidence → Action framework.

• Coursera
• 5 weeks, 1 hour a week
• Self-Paced
• Paid Course

AI-900 Course Azure AI Fundamentals with Virtual Simulations

873 ratings at Udemy

Get prepared for the AI-900 exam with instructor led labs and hands on simulations available 24/7

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

Alteryx: Real-Life Exercises For Data Analytics!

553 ratings at Udemy

Master Alteryx for Data Analytics step-by-step. Real-Life Exercises & Quizzes included. Learn by doing!

• Udemy
• 5 hours 36 minutes
• Self-Paced
• Paid Course

Data Analysis & Exploratory Data Analysis Using Python

494 ratings at Udemy

Parametric & Non Parametric Hypothesis Tests | Build EDA App with Streamlit | EDA Libraries | Data Visualization

• Udemy
• 4 hours 54 minutes
• Self-Paced
• Paid Course

Python Data Science: Unsupervised Machine Learning

387 ratings at Udemy

Learn Python for data science & machine learning, and build unsupervised learning models w/ a top Python instructor!

• Udemy
• 16 hours 47 minutes
• Self-Paced
• Paid Course