Cloud Computing Courses and Certifications

Serverless Agentic Workflows with Amazon Bedrock

Master building secure, scalable AI customer service agents using Amazon Bedrock's serverless architecture. Create agents with guardrails, integrate CRM systems, and implement automated workflows for real-world support scenarios.

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

Deploy containers by using Azure Kubernetes Service

Gain hands-on experience creating, deploying, and managing Azure Kubernetes Service clusters. Learn to orchestrate containers, scale with precision, and ensure high availability in real-world scenarios.

• Coursera
• 2 hours 23 minutes
• Self-Paced
• Paid Course

Packt

AZ-104: Azure Storage, Compute, Containers, and Automation

Master Azure cloud infrastructure through hands-on training in storage management, virtual machines, containers, and automation tools. Build practical skills in resource deployment, app services, and security configurations.

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

Using Custom Fields in Looker Explores

Explore Looker's custom fields for richer data analysis. Learn to create ad hoc measures, dimensions, and calculations, empowering non-developers with flexible data exploration capabilities.

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

Whizlabs

AWS: Databases

Design and configure AWS databases: relational, non-relational, and data warehouses. Learn Amazon RDS, DynamoDB, Redshift, and more for optimal database solutions in cloud applications.

• Coursera
• 6 hours 55 minutes
• Self-Paced
• Paid Course

Exploring Your Ecommerce Dataset with SQL in Google BigQuery

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you learn to use BigQuery to find data, query the data-to-insights public dataset, and write and execute queries.

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

Coursera

GenAI for DevOps Practitioners

Explore GenAI's impact on DevOps: enhance code generation, IaC, and CI/CD optimization. Gain hands-on experience and develop strategies for responsible AI integration in DevOps practices.

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

Getting Started with Redis and RediSearch

Learn to install Redis, import hashes, create indexes, and perform full-text searches using RediSearch in Google Cloud Console.

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

Intro to Natural Language Processing in Microsoft Azure

Explore Azure's NLP capabilities for text analysis, speech recognition, language understanding, and conversational AI. Master tools for sentiment analysis, translation, and building language-aware applications.

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

Packt

AWS Certified DevOps Engineer - Professional

Master AWS DevOps practices and tools for professional certification, covering application lifecycle management, automation, serverless development, monitoring, and compliance implementation.

• Coursera
• 17 hours 54 minutes
• Self-Paced
• Paid Course

Working with large language models using Azure

Master generative AI development with Azure, covering LLMs, prompt engineering, RAG pipelines, fine-tuning, and end-to-end application deployment for real-world solutions.

• Coursera
• 20 hours 33 minutes
• Self-Paced
• Paid Course

Coursera

Create IoT Solutions in Microsoft Azure

Learn to create and manage IoT solutions using Azure, including setting up IoT hubs, monitoring messages, and configuring data storage and routing for efficient IoT device management.

• Coursera
• 2 hours 1 minute
• Self-Paced
• Paid Course

LearnKartS

AWS Advanced Architecture & Cloud Design

Deepen AWS expertise with advanced scalability, load balancing, messaging, monitoring, and serverless computing techniques. Master auto-scaling, CloudWatch, Lambda, and more for efficient cloud solutions.

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

Networking in Google Cloud: Load Balancing

Explore and implement Cloud Load Balancing, including hybrid solutions, traffic management, caching, and optimization strategies for efficient network performance.

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

Working with Notebooks in Vertex AI

Explore Vertex AI Notebooks: a unified Jupyter-based platform for machine learning workflows. Learn about notebook types, features, creation, and management in Google Cloud's ML environment.

• Coursera
• 2 hours 34 minutes
• Self-Paced
• Paid Course