Cloud Computing Courses and Certifications

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

Dialogflow CX: Enable IVR Features for your Voice Agent

Explore and implement Interactive Voice Response features in Dialogflow CX, including conversation repair and SSML, to create a more natural and interactive conversational agent experience.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Packt

AWS Core Services and Cloud Foundations

Master AWS fundamentals with hands-on experience in EC2, S3, IAM, and RDS to build scalable, secure cloud applications from scratch.

• Coursera
• 11 hours 42 minutes
• Self-Paced
• Paid Course

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
• 7 hours 24 minutes
• Self-Paced
• Paid Course

LearnKartS

Responsible AI with AWS Security and Governance

Discover how to build ethical, explainable AI systems using AWS security tools and governance practices. Master responsible AI principles, implement security measures, and ensure compliance for trustworthy AI solutions.

• Coursera
• 5 hours 57 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

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

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

Autoscaling an Instance Group with Custom Cloud Monitoring Metrics

This is a self-paced lab that takes place in the Google Cloud console. This lab describes how to deploy an autoscaling Compute Engine instance group that is automatically scaled using a custom Cloud monitoring metric

• Coursera
• 45 minutes
• 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

Packt Career Certificate

AWS Certified Developer - Associate

Master AWS development skills with EC2, S3, Lambda, and DynamoDB while preparing for the Developer Associate certification through hands-on serverless computing and automation.

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

Data Governance with Dataplex Universal Catalog

Master data governance fundamentals and hands-on Dataplex Universal Catalog skills for profiling, quality management, and automated lineage implementation.

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

Packt Career Certificate

Azure ML Bootcamp: Machine Learning on the Cloud

Master Azure Machine Learning from foundations to advanced MLOps deployment, building and operationalizing models with hands-on cloud experience and real-world applications.

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

Machine Learning Operations with Vertex AI: Model Evaluation

Gain insights into machine learning model evaluation using Vertex AI, covering metrics, methodologies, and best practices for both generative and predictive AI models.

• Coursera
• 1 hour 47 minutes
• Self-Paced
• Paid Course