Whizlabs Courses

Getting Started with Microsoft Fabric

Dive into Microsoft Fabric's unified environment for data integration, warehousing, and analytics, mastering essential skills for modern data analysis through hands-on practice with Power BI and advanced data transformation techniques.

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

Azure Compute and Application Architecture Solutions

Master Azure compute services, serverless functions, containerization, and event-driven architectures to build scalable cloud applications and prepare for AZ-305 certification.

• Coursera
• 9 hours 25 minutes
• Self-Paced
• Paid Course

Azure Data Storage Solutions

Master Azure data storage, integration, and analytics services including Cosmos DB, SQL Database, Blob Storage, Data Factory, and Synapse Analytics for cloud architecture expertise.

• Coursera
• 9 hours 8 minutes
• Self-Paced
• Paid Course

Azure Identity, Governance, and Monitoring solutions

Unlock Azure security fundamentals with identity management, governance strategies, and monitoring solutions for cloud architects preparing for AZ-305 certification.

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

Azure Migration, Business Continuity & Networking Solutions

Master Azure migration, business continuity, and networking solutions with hands-on practice in backup, disaster recovery, virtual networks, and security architectures.

• Coursera
• 7 hours 38 minutes
• Self-Paced
• Paid Course

GCP: Compute Services

GCP: Compute Services is the second course of Exam Prep: Google Cloud Certified Associate Cloud Engineer Specialization. This course begins with Google Compute Engine, covering machine types, images, pricing, billing, and preemptible VM instances with pr…

• Coursera
• 5 hours 38 minutes
• Self-Paced
• Paid Course

GCP: Database, Storage, and Networking

GCP: Database, Storage, and Networking is the first course of Exam Prep: Google Cloud Certified Associate Cloud Engineer Specialization. The course provides comprehensive coverage of Virtual Private Cloud (VPC), including VPC creation, firewall rules, VM…

• Coursera
• 8 hours 8 minutes
• Self-Paced
• Paid Course

GCP: Monitoring, Security, and Costs

GCP: Monitoring, Security, and Costs Course is the third course of Exam Prep: Google Cloud Certified Associate Cloud Engineer Specialization. This course provides an in-depth exploration of Google Cloud’s Operations Suite, focusing on monitoring, logging…

• Coursera
• 6 hours 36 minutes
• Self-Paced
• Paid Course

Design Security and Monitor Strategies in Azure

Master security and monitoring in Azure DevOps: develop authentication strategies, manage sensitive information, implement comprehensive monitoring, analyze telemetry data, and leverage distributed tracing for issue resolution.

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

Design and Implement Build and Release Pipelines

Master build and release pipelines with package management, testing strategies, deployment automation, and Infrastructure as Code (IaC) for optimized CI/CD workflows in Azure DevOps environments.

• Coursera
• 6 hours 58 minutes
• Self-Paced
• Paid Course

Design and Implement Processes and Communications

Master traceability, metrics, and collaboration strategies for DevOps with this AZ-400 exam prep course, learning to implement effective workflows and communication tools for optimized team performance.

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

Design and Implement a Source Control Strategy

Master effective branching strategies, repository management, and source control workflows for DevOps. Develop secure collaboration systems and deployment strategies aligned with team needs for the AZ-400 Microsoft certification.

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

AWS: ML Workflows with SageMaker, Storage & Security

Master secure, scalable ML workflows on AWS using SageMaker, data storage services, and enterprise-grade security controls for production-ready machine learning systems.

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

AWS: Feature Engineering Data Transformation & Integrity

Master data preparation and feature engineering for machine learning using AWS Glue, DataBrew, and EMR to build scalable ETL pipelines and ensure data integrity.

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

AWS: Machine Learning & MLOps Foundations

Master foundational ML concepts, model evaluation, and MLOps using AWS services like SageMaker to build end-to-end workflows and prepare for MLA-C01 certification.

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