Cloud Computing Courses and Certifications

Board Infinity

Learn GCP Cloud Native Fundamentals

Explore cloud-native architecture, Docker containerization, Kubernetes orchestration, and service mesh with Istio. Gain practical skills for building and managing applications on Google Cloud Platform.

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

Build an AI Image Generator app using Imagen on Vertex AI

Generate AI images from text prompts using Google's Vertex AI SDK and Imagen model, exploring cutting-edge image generation technology.

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

Whizlabs

Azure ML: Designing and Preparing Machine Learning Solutions

Master Azure ML fundamentals, data workflows, and MLOps architectures to design scalable machine learning solutions with hands-on Azure Data Factory and Synapse Analytics expertise.

• Coursera
• 9 hours 30 minutes
• Self-Paced
• Paid Course

Entity and Sentiment Analysis with the Natural Language API

Explore entity extraction and sentiment analysis using Google Cloud's Natural Language API in a hands-on lab environment.

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

Whizlabs

Design solutions with security best practices and priorities

Master Microsoft cloud security frameworks including MCRA, MCSB, CAF, WAF, and Zero Trust principles to design secure, resilient cloud architectures and threat protection solutions.

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

Coursera

AWS AutoGluon for Machine Learning Classification

Train powerful machine learning classifiers for disease detection using AWS AutoGluon, enabling rapid prototyping of multiple models with minimal code.

• Coursera
• 1 hour 52 minutes
• Self-Paced
• Paid Course

Deploy Kubernetes Load Balancer Service with Terraform

This is a self-paced lab that takes place in the Google Cloud console. In Terraform, a Provider is the logical abstraction of an upstream API. This lab will show you how to setup a Kubernetes cluster and deploy Load Balancer type Nginx service on it.

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

Distributed Image Processing in Cloud Dataproc

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to use Apache Spark on Cloud Dataproc to distribute a computationally intensive image processing task onto a cluster of machines.

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

Edureka

Infrastructure as Code and Monitoring

Master Infrastructure as Code with Terraform and AWS CloudFormation while implementing monitoring solutions using Prometheus and Grafana for automated, scalable infrastructure.

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

Looker Data Explorer - Qwik Start

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will create a series of visualizations from the Airports and Flights datasets and save them to a dashboard in Looker.

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

Certified Cloud Security Professional (CCSP): Unit 2

Master cloud data security through comprehensive lifecycle management and protection strategies for safeguarding information in digital environments.

• Coursera
• 1 hour 56 minutes
• Self-Paced
• Paid Course

Cloud SQL with Terraform

This is a self-paced lab that takes place in the Google Cloud console. In this hands-on lab you will learn to create Cloud SQL instances with Terraform, then set up the Cloud SQL Proxy, testing the connection with both MySQL and PostgreSQL clients.

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

Whizlabs

AWS: Task Automation and Network Integration

Evaluate automation for network deployments, configure dynamic overlay networks, integrate Lambda with external systems, and optimize network operations using AWS tools and services.

• Coursera
• 6 hours 32 minutes
• Self-Paced
• Paid Course

Deploy and Monitor in Google Cloud for AWS Professionals

Explore deploying and monitoring applications in Google Cloud, comparing with AWS solutions. Hands-on practice with Cloud Source Repositories, Functions, Run, and operations suite tools.

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

Basics of GenAI Foundation Models with Amazon Bedrock

Discover hands-on GenAI development with Amazon Bedrock, covering foundation models, prompt engineering, conversation handling, and AI security guardrails for practical AWS AI applications.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate