Cloud Computing Courses and Certifications

BigQuery Soccer Data Ingestion

Explore sports data science by importing soccer data into BigQuery tables. Learn to work with multiple data sources and lay the foundation for advanced analytics.

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

Creating a De-identified Copy of Data in Cloud Storage

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will create and run a Cloud DLP job using the DeID Findings Action to create a redacted and de-identified copy data in Cloud Storage.

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

Azure AI Services: Introduction

You'll learn the fundamentals of Microsoft's Azure AI Services. This includes understanding the range of AI capabilities offered, such as computer vision, language processing, and machine learning, and how they can be applied in various solutions.

• edX
• 2 weeks, 2-3 hours a week
• Self-Paced
• Free Online Course (Audit)

The Pearson Complete Course for CISM Certification: Unit 3

Master information security program development and management with frameworks, asset classification, vulnerability management, and secure design principles for CISM certification.

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

Whizlabs

AWS: Model Training , Optimization & Deployment

Master AWS machine learning workflows through SageMaker algorithms, hyperparameter tuning, and scalable deployment strategies for the MLA-C01 certification exam.

• Coursera
• 8 hours 37 minutes
• Self-Paced
• Paid Course

Board Infinity

Foundation of Ansible Automation

Master IT automation fundamentals with Ansible's agentless architecture, playbooks, and real-world applications to eliminate manual tasks and scale operations efficiently.

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

Whizlabs

GCP: Compute and Networking

Master GCP compute services and networking fundamentals through hands-on labs covering Compute Engine, Kubernetes, VPC, load balancing, and cloud architecture best practices.

• Coursera
• 8 hours 31 minutes
• Self-Paced
• Paid Course

AWS Certified Solutions Architect - Professional (SAP-C02)

Master AWS architecture for complex enterprise environments and ace the SAP-C02 certification with expert guidance through multi-account scenarios and migration strategies.

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

Packt

Foundations of Machine Learning with Azure

Master machine learning fundamentals and Azure ML Studio through hands-on data preprocessing, model building, and deployment techniques for real-world business applications.

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

Whizlabs

Azure AI & ML: Optimize Language Models for AI Applications

Master Azure AI & ML model deployment, optimization, and MLOps workflows. Build production-ready solutions using Azure AI Foundry, AutoML, and advanced monitoring techniques.

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

Whizlabs

Azure ML: Deploying, Managing, and Experimenting with Models

Master Azure ML model deployment, management, and experimentation with MLOps best practices, AutoML, and Responsible AI implementation for scalable machine learning workflows.

• Coursera
• 7 hours 44 minutes
• Self-Paced
• Paid Course

AWS Organizations Getting Started

Learn to centrally manage multiple AWS accounts, consolidate billing, and implement governance policies using AWS Organizations' powerful features and architecture.

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

Getting Started with Network Load Balancer

Learn to handle millions of requests with ultralow latency using AWS Network Load Balancer. Discover key benefits, technical concepts, and hands-on implementation through AWS Management Console.

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

App Dev: Deploying the Application into Kubernetes Engine - Python

Deploy a quiz app to Kubernetes Engine using Google Cloud resources. Learn to leverage Container Builder, Container Registry, and Kubernetes components for efficient application deployment.

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

Bracketology with Google Machine Learning

This is a self-paced lab that takes place in the Google Cloud console. In this lab you use Machine Learning (ML) to analyze the public NCAA dataset and predict NCAA tournament brackets.

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