The world of cloud computing is rapidly expanding, becoming a critical component of modern IT infrastructure and software development. From enabling seamless remote work to providing scalable solutions for businesses, cloud computing skills are in high demand across various industries. Fortunately, there are numerous free online courses available to help you learn and master cloud computing. This comprehensive guide explores 70+ of the best free cloud computing courses to help you enhance your skills, build expertise, and stay ahead in the tech industry.
With the increasing need for professionals skilled in cloud services such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure, these courses cater to different skill levels—from beginner to advanced. Whether you’re exploring the fundamentals of cloud computing or diving into specialized areas like serverless computing and Kubernetes, there’s something for everyone.
Why Learn Cloud Computing?
Cloud computing is a cornerstone of digital transformation and offers numerous benefits, including cost efficiency, scalability, and improved collaboration. Companies across industries—from startups to multinational corporations—are adopting cloud technologies to streamline operations and innovate faster. Key reasons to learn cloud computing include:
High Demand for Cloud Professionals: Cloud computing jobs consistently rank among the most sought-after positions in the IT industry.
Lucrative Career Opportunities: Certified cloud professionals often command impressive salaries, with roles like Cloud Architect, Cloud Engineer, and DevOps Specialist in demand.
Adaptability Across Industries: Cloud skills are applicable in various sectors, such as finance, healthcare, education, and entertainment.
Continuous Learning: Cloud computing encourages constant innovation, enabling professionals to learn and grow throughout their careers.
Beginner-Friendly Cloud Computing Courses
Starting your journey in cloud computing can be intimidating, but with the right resources, you can build a strong foundation. This group includes courses that explain basic cloud concepts, terminologies, and the key differences between popular cloud platforms like AWS, Google Cloud, and Azure.
1. Google Cloud Fundamentals: Core Infrastructure
This course by Google Cloud on Coursera is an excellent starting point for beginners. It introduces essential concepts of cloud computing and explains the core services of Google Cloud Platform (GCP). The course focuses on topics like virtual machines, cloud storage, networking, and BigQuery. Interactive labs allow learners to experiment with GCP services and gain hands-on experience.
2. Introduction to Cloud Computing by IBM (edX)
IBM offers this beginner-friendly course on edX to help learners understand the foundations of cloud computing. Topics covered include the benefits of cloud adoption, deployment models (public, private, and hybrid clouds), and service models (IaaS, PaaS, SaaS). It’s an ideal starting point for those with no prior experience.
3. AWS Cloud Practitioner Essentials (Amazon)
For beginners interested in Amazon Web Services, this free course provides a broad overview of AWS services and basic cloud concepts. You’ll learn about security, compliance, and AWS pricing structures, making it a great choice for those considering AWS certifications in the future.
4. Cloud Computing Basics (Udemy)
This short yet impactful course on Udemy introduces cloud computing from scratch. It covers essential topics like cloud deployment, virtualization, and the advantages of moving from traditional IT infrastructure to the cloud.
5. Azure Fundamentals by Microsoft Learn
Microsoft Learn offers this course to teach the basics of Azure cloud computing. It focuses on core Azure services, including virtual machines, containers, and databases, while also touching on security and compliance.
6. Cloud Computing for Beginners (Simplilearn)
Simplilearn’s free beginner program covers cloud computing concepts, architecture, and deployment models. It also introduces popular tools and platforms, ensuring a well-rounded understanding of the field.
7. Introduction to Cloud Computing by Great Learning
This course, hosted on Great Learning Academy, is perfect for newcomers. It introduces cloud computing services, such as server hosting, data storage, and application deployment, in an easy-to-understand format.
8. Getting Started with Cloud Computing by Pluralsight
Pluralsight offers this free beginner course to introduce learners to the key concepts of cloud computing. You’ll explore how cloud services are delivered and gain insights into the most popular cloud platforms.
9. Foundations of Cloud Computing by FutureLearn
This FutureLearn course explains what cloud computing is, how it works, and why it’s transforming the tech industry. It’s an excellent choice for learners seeking a broad understanding before diving into platform-specific training.
10. Learn Cloud Computing by Codecademy
This free program from Codecademy provides an interactive learning experience. You’ll discover how cloud infrastructure supports modern applications and explore key concepts through hands-on exercises.
Free AWS (Amazon Web Services) Cloud Computing Courses
AWS is a global leader in cloud services, offering a wide array of tools for computing, storage, machine learning, and more. These free courses provide essential knowledge and practical experience for those looking to master AWS technologies.
11. AWS Fundamentals: Going Cloud-Native (Coursera)
This course is an excellent introduction to AWS for beginners. It covers key services like EC2, S3, and DynamoDB, emphasizing cloud-native application design and deployment. Through hands-on labs and real-world scenarios, learners gain practical insights into how AWS powers scalable and secure applications.
Platform: Coursera
Duration: 8 hours
Key Topics: AWS core services, cloud-native development, and scalability.
12. AWS Cloud Practitioner Essentials (AWS Training)
This foundational course offers a detailed overview of AWS services, global infrastructure, and pricing models. Ideal for those new to AWS, it also includes a primer on cloud security and compliance. The course aligns with the AWS Certified Cloud Practitioner certification, making it a great starting point for certification aspirants.
Platform: AWS Training Portal
Duration: 6 hours
Key Topics: AWS basics, pricing, and security.
13. AWS Free Tier Hands-On Training (AWS)
This self-paced training program allows learners to explore AWS Free Tier services with hands-on practice. You’ll gain experience using services like S3 for storage, Lambda for serverless computing, and RDS for databases. It’s perfect for understanding AWS capabilities without incurring costs.
Platform: AWS Training Portal
Duration: Varies (self-paced)
Key Topics: Practical use of AWS Free Tier services.
14. Architecting on AWS (AWS Training)
Designed for learners interested in AWS architecture, this course explores the design of scalable, secure, and cost-effective cloud solutions. Topics include high availability, fault tolerance, and cloud migration strategies. The course is ideal for aspiring Solutions Architects.
Platform: AWS Training Portal
Duration: 10 hours
Key Topics: Cloud architecture, scalability, and security.
15. Introduction to AWS Identity and Access Management (IAM)
IAM is a critical component of AWS security, and this free course dives into managing user permissions and securing resources. You’ll learn to configure user roles, define access policies, and implement best practices to safeguard your AWS environment.
Platform: AWS Training Portal
Duration: 4 hours
Key Topics: IAM basics, user roles, and access policies.
16. AWS Storage Services Overview (AWS Training)
This course provides a detailed overview of AWS storage solutions, including S3, Glacier, EBS, and EFS. You’ll learn how to choose the right storage service for different use cases, whether for archival, backup, or high-performance computing.
Platform: AWS Training Portal
Duration: 5 hours
Key Topics: AWS storage solutions and use cases.
17. Serverless Computing with AWS Lambda (edX)
This course focuses on serverless architecture using AWS Lambda. You’ll learn to create, deploy, and manage serverless applications, gaining insights into how AWS Lambda integrates with other services like API Gateway and DynamoDB.
Platform: edX
Duration: 6 hours
Key Topics: Serverless computing, AWS Lambda, and integration.
18. AWS Security Fundamentals (AWS Training)
Security is a top priority in cloud computing, and this course provides an introduction to AWS security services. Topics include securing data in transit and at rest, identity management, and compliance standards like GDPR and HIPAA.
Platform: AWS Training Portal
Duration: 3 hours
Key Topics: AWS security services and compliance.
19. AWS Well-Architected Framework (AWS Training)
This course teaches the best practices for designing cloud solutions on AWS using the Well-Architected Framework. You’ll learn to evaluate workloads across the five pillars of operational excellence, security, reliability, performance efficiency, and cost optimization.
Platform: AWS Training Portal
Duration: 8 hours
Key Topics: Cloud design principles and optimization.
20. Machine Learning Basics on AWS (AWS Training)
This introductory course explores machine learning services on AWS, such as SageMaker and Rekognition. It’s a great starting point for those interested in integrating machine learning capabilities into their applications.
Platform: AWS Training Portal
Duration: 5 hours
Key Topics: AWS SageMaker, ML workflows, and AI applications.
Google Cloud Platform (GCP) Cloud Computing Courses
Google Cloud Platform (GCP) is known for its advanced tools in data analytics, machine learning, and scalable infrastructure. Whether you’re exploring GCP for the first time or expanding your skills, these free courses offer comprehensive training.
21. Google Cloud Fundamentals: Core Infrastructure (Coursera)
This foundational course provides an overview of GCP services such as Compute Engine, Cloud Storage, and BigQuery. With hands-on labs, it helps learners gain practical skills in deploying and managing cloud resources effectively.
22. Getting Started with Google Kubernetes Engine (Coursera)
This course focuses on using Kubernetes for container orchestration within GCP. It includes hands-on exercises to deploy, scale, and manage containerized applications using Google Kubernetes Engine (GKE).
23. Introduction to Google Cloud by Google (Google Cloud Skills Boost)
A beginner-friendly course offered directly by Google, this program introduces GCP’s core infrastructure and tools, including networking, storage, and security services. It’s an excellent entry point for first-time users.
24. Data Engineering on Google Cloud Platform (Coursera)
This course is perfect for learners interested in data engineering. It explores how to design and build data processing systems using GCP services like BigQuery, Dataflow, and Pub/Sub.
25. Google Cloud Platform Big Data and Machine Learning Fundamentals (Coursera)
This course dives into GCP’s data analytics and machine learning tools. You’ll learn about BigQuery, AI Platform, and TensorFlow, with practical labs to apply concepts in real-world scenarios.
26. Google Cloud Essentials (Google Cloud Skills Boost)
Designed for absolute beginners, this course provides a comprehensive overview of GCP services, including Compute, Storage, Networking, and IAM. It’s a great way to get familiar with the platform.
27. Building Scalable Applications on GCP (Pluralsight)
This course focuses on designing scalable and resilient cloud applications using GCP services. Topics include load balancing, autoscaling, and best practices for high availability.
28. Cloud Monitoring and Operations with Google Cloud (Google Cloud Skills Boost)
Learn how to monitor and manage cloud-based applications using Google Cloud’s operations suite. The course covers tools like Cloud Monitoring, Cloud Logging, and Cloud Trace.
29. Google Cloud Fundamentals for Azure Professionals (Coursera)
Designed for learners with Azure experience, this course bridges the gap by introducing GCP’s services in comparison to Azure. It’s ideal for professionals transitioning between the two platforms.
30. Introduction to Cloud Security on GCP (Coursera)
This course focuses on securing cloud environments using GCP’s security tools and best practices. Topics include encryption, IAM policies, and security logging.
Microsoft Azure Cloud Computing Courses
Microsoft Azure is one of the most popular cloud computing platforms, offering integrated tools for AI, analytics, and application development. It is widely adopted by businesses of all sizes due to its robust security, hybrid cloud capabilities, and seamless integration with Microsoft products like Office 365. These free courses will guide you through Azure’s vast ecosystem, whether you’re a beginner or an experienced cloud professional.
31. Azure Fundamentals (Microsoft Learn)
This beginner-friendly course introduces learners to Azure’s core services, including virtual machines, databases, and storage solutions. It also covers essential cloud concepts, such as scalability, disaster recovery, and global distribution. With step-by-step modules, it provides a clear understanding of Azure’s capabilities.
- Platform: Microsoft Learn
- Duration: 8 hours
- Key Topics: Core Azure services, scalability, and disaster recovery.
- Ideal For: Beginners exploring cloud computing on Azure.
32. Introduction to Azure DevOps (Microsoft Learn)
Azure DevOps is a powerful tool for continuous integration and deployment (CI/CD). This course provides a comprehensive introduction to Azure DevOps services, such as pipelines, boards, and repositories, enabling you to automate software development workflows effectively.
- Platform: Microsoft Learn
- Duration: 6 hours
- Key Topics: CI/CD pipelines, version control, and project management.
- Ideal For: Developers and DevOps engineers.
33. Azure AI Fundamentals (Microsoft Learn)
This course introduces Azure’s AI services, including Cognitive Services, Azure Machine Learning, and AI Bots. You’ll learn to integrate AI into your applications and use pre-built models for tasks like language understanding and image recognition.
- Platform: Microsoft Learn
- Duration: 7 hours
- Key Topics: Azure Cognitive Services, AI Bots, and ML integration.
- Ideal For: AI enthusiasts and developers.
34. Azure Networking Basics (Microsoft Learn)
Understanding networking is critical for managing cloud applications. This course explains Azure’s networking tools, such as virtual networks, load balancers, and application gateways. You’ll learn how to design and secure network infrastructures.
- Platform: Microsoft Learn
- Duration: 5 hours
- Key Topics: Virtual networks, load balancing, and secure network design.
- Ideal For: IT professionals and network engineers.
35. Azure Security Fundamentals (Microsoft Learn)
Security is a top priority in cloud environments, and this course focuses on Azure’s security features, including Azure Defender, Sentinel, and encryption methods. It also covers best practices for managing access control and securing sensitive data.
- Platform: Microsoft Learn
- Duration: 6 hours
- Key Topics: Azure Defender, Sentinel, encryption, and IAM.
- Ideal For: Security professionals and cloud administrators.
36. Introduction to Azure Kubernetes Service (AKS) (Microsoft Learn)
This course dives into Azure Kubernetes Service (AKS), which simplifies the deployment and management of containerized applications. You’ll learn how to create clusters, deploy applications, and manage workloads in a scalable environment.
- Platform: Microsoft Learn
- Duration: 8 hours
- Key Topics: Kubernetes clusters, workload management, and AKS deployment.
- Ideal For: Developers and containerization enthusiasts.
37. Azure Data Fundamentals (Microsoft Learn)
This course focuses on data management in Azure, covering databases, data warehousing, and analytics tools like Synapse Analytics and Data Lake. It’s ideal for learners aiming to specialize in data-driven applications and cloud-based analytics.
- Platform: Microsoft Learn
- Duration: 7 hours
- Key Topics: Synapse Analytics, Data Lake, and database solutions.
- Ideal For: Data analysts and engineers.
38. Azure Serverless Computing (Microsoft Learn)
Explore Azure’s serverless computing capabilities, including Functions, Logic Apps, and Event Grid. This course teaches you how to build and deploy serverless applications, automate workflows, and manage events seamlessly.
- Platform: Microsoft Learn
- Duration: 6 hours
- Key Topics: Azure Functions, Logic Apps, and event-driven architecture.
- Ideal For: Developers seeking serverless solutions.
39. Azure Monitor and Insights (Microsoft Learn)
Learn how to monitor, diagnose, and optimize Azure applications using Azure Monitor and Insights. This course covers setting up performance metrics, creating dashboards, and automating alerts to maintain application reliability.
- Platform: Microsoft Learn
- Duration: 5 hours
- Key Topics: Performance metrics, dashboards, and diagnostics.
- Ideal For: IT administrators and operations engineers.
40. Introduction to Hybrid Cloud with Azure Arc (Microsoft Learn)
Azure Arc allows businesses to manage resources across hybrid and multi-cloud environments. This course introduces Azure Arc’s features and teaches you how to extend Azure services to on-premises and other cloud platforms.
- Platform: Microsoft Learn
- Duration: 6 hours
- Key Topics: Hybrid cloud management, Azure Arc, and multi-cloud solutions.
- Ideal For: Cloud architects and hybrid cloud specialists.
Cloud Computing Courses on Specialized Topics
Beyond platform-specific training, cloud computing encompasses a wide range of specialized topics, including serverless computing, DevOps, artificial intelligence (AI), big data, and security. These areas are critical for advanced learners and professionals looking to specialize in niche domains.
41. Introduction to Serverless Computing on AWS (edX)
Serverless computing is a revolutionary approach that allows developers to build and run applications without managing servers. This course introduces AWS Lambda and explores serverless architecture concepts. It provides practical examples of deploying serverless applications using Lambda, API Gateway, and DynamoDB.
- Platform: edX
- Duration: 6 hours
- Key Topics: AWS Lambda, API Gateway, and serverless workflows.
- Ideal For: Developers and cloud professionals interested in serverless architecture.
42. DevOps on Google Cloud (Google Cloud Skills Boost)
This course explores DevOps practices in the context of Google Cloud Platform. Learn to automate CI/CD pipelines, manage deployments using Kubernetes, and monitor applications with Google’s operations suite. Hands-on labs ensure practical understanding.
- Platform: Google Cloud Skills Boost
- Duration: 8 hours
- Key Topics: CI/CD pipelines, Kubernetes, and monitoring tools.
- Ideal For: DevOps engineers and cloud developers.
43. Microsoft Azure AI Fundamentals (Microsoft Learn)
AI is a key component of modern cloud solutions, and this course introduces Azure’s AI tools. You’ll learn how to use Azure Cognitive Services, build chatbots, and integrate AI into cloud applications. The course also provides insights into machine learning concepts.
- Platform: Microsoft Learn
- Duration: 7 hours
- Key Topics: Azure Cognitive Services, chatbots, and AI integration.
- Ideal For: Developers and AI enthusiasts.
44. Securing Cloud Applications on AWS (AWS Training)
Security is one of the most critical aspects of cloud computing. This course explores AWS security tools, such as AWS Shield, IAM, and CloudTrail. You’ll learn best practices for securing applications and protecting data in the cloud.
- Platform: AWS Training Portal
- Duration: 5 hours
- Key Topics: Cloud security, IAM, and AWS Shield.
- Ideal For: Security professionals and cloud administrators.
45. Big Data Analytics on Google Cloud (Coursera)
This course focuses on big data solutions using Google Cloud tools like BigQuery, Dataflow, and Data Studio. It includes practical exercises to process, analyze, and visualize large datasets, making it ideal for data analysts and engineers.
- Platform: Coursera
- Duration: 10 hours
- Key Topics: BigQuery, Dataflow, and data visualization.
- Ideal For: Data scientists and cloud professionals.
46. Introduction to Kubernetes by The Linux Foundation (edX)
Kubernetes is a leading tool for container orchestration, and this course provides a comprehensive introduction. It covers deploying, scaling, and managing applications using Kubernetes, with a focus on practical implementation.
- Platform: edX
- Duration: 8 hours
- Key Topics: Kubernetes basics, container orchestration, and scaling applications.
- Ideal For: Developers and DevOps engineers.
47. Cloud Security Fundamentals by IBM (edX)
This course provides an overview of cloud security principles, including encryption, compliance, and risk management. It also explores IBM Cloud’s security features, helping learners understand how to implement secure cloud solutions.
- Platform: edX
- Duration: 6 hours
- Key Topics: Cloud security, encryption, and compliance.
- Ideal For: Cloud administrators and security specialists.
48. Implementing Machine Learning on AWS (AWS Training)
Machine learning is a growing field in cloud computing, and this course introduces AWS services like SageMaker. You’ll learn how to build, train, and deploy ML models, along with real-world applications.
- Platform: AWS Training Portal
- Duration: 7 hours
- Key Topics: SageMaker, ML workflows, and AI tools.
- Ideal For: Data scientists and AI developers.
49. CI/CD Pipeline with Jenkins on Azure (Microsoft Learn)
This course teaches you how to integrate Jenkins with Azure for continuous integration and deployment. Topics include automating workflows, managing builds, and deploying applications to Azure cloud environments.
- Platform: Microsoft Learn
- Duration: 6 hours
- Key Topics: Jenkins, CI/CD, and Azure deployment.
- Ideal For: DevOps professionals.
50. Cloud Cost Optimization on Google Cloud (Google Cloud Skills Boost)
Managing cloud costs effectively is essential for businesses. This course teaches best practices for cost optimization on Google Cloud, including monitoring usage, automating budget alerts, and utilizing cost-effective services.
- Platform: Google Cloud Skills Boost
- Duration: 5 hours
- Key Topics: Cost monitoring, budget alerts, and service optimization.
- Ideal For: IT managers and cloud administrators.
Free Cloud Computing Courses on DevOps and Automation
DevOps and automation are integral to modern cloud computing practices, streamlining development cycles and optimizing IT operations. By leveraging DevOps tools and automating workflows, professionals can enhance productivity and ensure scalability.
51. DevOps on AWS: Building CI/CD Pipelines (AWS Training)
This course explores the fundamental principles of DevOps and teaches you how to create CI/CD pipelines using AWS tools. You’ll work with AWS CodePipeline, CodeBuild, and CodeDeploy to automate deployments and streamline development workflows.
- Platform: AWS Training Portal
- Duration: 8 hours
- Key Topics: CI/CD, AWS CodePipeline, and deployment automation.
- Ideal For: Developers and DevOps engineers.
52. Automating Infrastructure with Terraform (HashiCorp Learn)
Terraform is a widely used tool for infrastructure as code (IaC). This course introduces Terraform’s basic concepts, such as creating and managing cloud infrastructure declaratively. Learners will practice building configurations for AWS, Azure, or GCP environments.
- Platform: HashiCorp Learn
- Duration: 6 hours
- Key Topics: Terraform basics, IaC, and multi-cloud deployment.
- Ideal For: IT administrators and cloud architects.
53. Introduction to DevOps on Azure (Microsoft Learn)
This beginner-friendly course explores the DevOps services available in Azure, such as Azure Pipelines, Boards, and Repos. You’ll learn to automate code integration and deployment while managing agile project workflows.
- Platform: Microsoft Learn
- Duration: 7 hours
- Key Topics: CI/CD pipelines, Azure Repos, and agile development.
- Ideal For: Developers and project managers.
54. Google Cloud DevOps Essentials (Google Cloud Skills Boost)
Focused on DevOps practices in Google Cloud, this course covers tools like Cloud Build, Cloud Deploy, and Cloud Monitoring. It emphasizes continuous integration, automated testing, and rapid deployment of applications.
- Platform: Google Cloud Skills Boost
- Duration: 8 hours
- Key Topics: Cloud Build, Cloud Deploy, and monitoring.
- Ideal For: DevOps professionals working with Google Cloud.
55. Continuous Integration with Jenkins (Coursera)
Jenkins is a popular tool for building CI/CD pipelines, and this course provides a practical guide to its features. You’ll learn to set up Jenkins for code integration, manage plugins, and automate testing workflows.
- Platform: Coursera
- Duration: 5 hours
- Key Topics: Jenkins configuration, plugins, and CI/CD pipelines.
- Ideal For: DevOps engineers and software developers.
56. Docker for Beginners (Udemy)
Docker is a fundamental tool in DevOps for containerizing applications. This course teaches the basics of Docker, including creating, managing, and deploying containers. You’ll also explore Docker Compose for multi-container applications.
- Platform: Udemy
- Duration: 6 hours
- Key Topics: Docker containers, Docker Compose, and containerization.
- Ideal For: Developers and IT professionals.
57. AWS DevOps Essentials (AWS Training)
AWS provides a robust ecosystem for DevOps, and this course introduces tools like Elastic Beanstalk, CloudFormation, and OpsWorks. Learn how to automate deployment, scaling, and monitoring of cloud applications.
- Platform: AWS Training Portal
- Duration: 7 hours
- Key Topics: Elastic Beanstalk, CloudFormation, and automation.
- Ideal For: DevOps practitioners using AWS.
58. Infrastructure as Code with Ansible (edX)
Ansible is a powerful tool for configuration management and automation. This course explains how to use Ansible for automating cloud deployments, managing servers, and creating repeatable infrastructure setups.
- Platform: edX
- Duration: 7 hours
- Key Topics: Ansible playbooks, configuration management, and cloud automation.
- Ideal For: System administrators and DevOps engineers.
59. Kubernetes for DevOps (Linux Academy)
This course provides a hands-on approach to managing Kubernetes clusters. You’ll learn how to automate deployment pipelines, scale containerized applications, and monitor Kubernetes environments effectively.
- Platform: Linux Academy
- Duration: 8 hours
- Key Topics: Kubernetes clusters, automation, and CI/CD integration.
- Ideal For: DevOps engineers and cloud developers.
60. Automating Cloud Workflows with Python (Coursera)
Python is a versatile language for cloud automation. This course teaches you how to use Python scripts to automate cloud resource management and workflows. Topics include interacting with APIs, managing virtual machines, and automating storage tasks.
- Platform: Coursera
- Duration: 8 hours
- Key Topics: Python scripting, cloud APIs, and automation.
- Ideal For: Cloud engineers and Python developers.
Free Cloud Computing Courses on Big Data and Analytics
Big data and analytics are essential for extracting valuable insights from massive datasets. Cloud platforms provide powerful tools and services to process, analyze, and visualize data efficiently. These courses are designed for professionals who want to specialize in cloud-based data analytics and big data management.
61. Big Data Analysis with Azure Data Lake (Microsoft Learn)
Azure Data Lake is a scalable data storage and analytics service. This course introduces you to data lakes and teaches how to store and process structured, semi-structured, and unstructured data. You’ll also explore tools like Azure Data Factory and Databricks.
- Platform: Microsoft Learn
- Duration: 8 hours
- Key Topics: Azure Data Lake, data processing, and Data Factory.
- Ideal For: Data analysts and engineers.
62. Google Cloud BigQuery for Data Analysts (Coursera)
This course dives into Google Cloud’s BigQuery, a powerful analytics platform for processing large datasets. You’ll learn how to query data using SQL, analyze datasets efficiently, and create visualizations with tools like Data Studio.
- Platform: Coursera
- Duration: 7 hours
- Key Topics: BigQuery, SQL, and data visualization.
- Ideal For: Data analysts and business intelligence professionals.
63. AWS Data Analytics Fundamentals (AWS Training)
AWS offers a suite of tools for big data and analytics. This course provides an overview of services like Redshift, Kinesis, and Athena. You’ll learn how to build data pipelines, analyze data streams, and run queries on cloud-based data warehouses.
- Platform: AWS Training Portal
- Duration: 6 hours
- Key Topics: AWS Redshift, Kinesis, and Athena.
- Ideal For: Cloud data analysts and engineers.
64. Data Engineering on Google Cloud (Coursera)
This course is focused on building robust data pipelines on Google Cloud. Learn to work with services like Dataflow, Pub/Sub, and Dataproc to process and analyze large datasets in real time. It also covers best practices for designing scalable data solutions.
- Platform: Coursera
- Duration: 10 hours
- Key Topics: Dataflow, Pub/Sub, and real-time analytics.
- Ideal For: Data engineers and architects.
65. Processing Big Data on Azure HDInsight (Microsoft Learn)
Azure HDInsight is a cloud-based platform for big data processing using Hadoop, Spark, and Kafka. This course explores how to process and analyze data at scale using these tools. You’ll also learn how to build scalable data solutions.
- Platform: Microsoft Learn
- Duration: 7 hours
- Key Topics: HDInsight, Hadoop, and Spark.
- Ideal For: Big data specialists and cloud professionals.
66. Introduction to Data Science on AWS (AWS Training)
This course introduces you to data science workflows on AWS. You’ll explore services like SageMaker for machine learning, Glue for data preparation, and QuickSight for visualization. Practical labs allow you to apply these tools in real-world scenarios.
- Platform: AWS Training Portal
- Duration: 8 hours
- Key Topics: SageMaker, Glue, and QuickSight.
- Ideal For: Data scientists and analysts.
67. Machine Learning for Big Data Analytics on Google Cloud (Google Cloud Skills Boost)
This course integrates machine learning into big data analytics using GCP. You’ll learn how to process data using TensorFlow, analyze it with BigQuery, and deploy ML models for advanced insights.
- Platform: Google Cloud Skills Boost
- Duration: 8 hours
- Key Topics: TensorFlow, BigQuery, and ML deployment.
- Ideal For: AI enthusiasts and big data professionals.
68. Snowflake Data Analytics Essentials (Udemy)
Snowflake is a modern cloud-based data warehousing platform. This course covers the basics of Snowflake, including data loading, querying, and optimization. It’s an excellent introduction to working with scalable data storage and analytics.
- Platform: Udemy
- Duration: 6 hours
- Key Topics: Snowflake, data warehousing, and optimization.
- Ideal For: Business analysts and data engineers.
69. Real-Time Analytics with Apache Kafka on Azure (Microsoft Learn)
This course focuses on building real-time analytics pipelines using Apache Kafka on Azure. You’ll learn to process and analyze streaming data efficiently and create scalable analytics solutions.
- Platform: Microsoft Learn
- Duration: 6 hours
- Key Topics: Kafka, streaming analytics, and Azure integration.
- Ideal For: Data engineers and IT professionals.
70. Apache Spark Basics for Data Analytics (edX)
Apache Spark is a powerful tool for big data processing. This course introduces Spark’s core concepts, including RDDs, DataFrames, and Spark SQL. You’ll also learn how to use Spark for distributed data processing.
- Platform: edX
- Duration: 7 hours
- Key Topics: Spark SQL, DataFrames, and distributed computing.
- Ideal For: Big data professionals and cloud engineers.
Cloud Computing Courses on Cloud Security
Cloud security is a critical aspect of managing cloud environments. As more businesses move their data and operations to the cloud, ensuring the security of these systems has become paramount. that cover the fundamentals of cloud security, compliance, and best practices for securing applications and data.
71. Introduction to Cloud Security with AWS (AWS Training)
This course introduces AWS’s security tools, including AWS Shield, IAM, and CloudTrail. You’ll learn how to protect your cloud resources, secure data, and implement best practices for managing user access.
- Platform: AWS Training Portal
- Duration: 5 hours
- Key Topics: IAM, AWS Shield, and CloudTrail.
- Ideal For: Security professionals and AWS users.
72. Azure Security Fundamentals (Microsoft Learn)
Azure provides robust security services for protecting cloud applications and data. This course covers features like Azure Defender, Sentinel, and encryption technologies. You’ll also learn how to manage access control and implement compliance standards.
- Platform: Microsoft Learn
- Duration: 6 hours
- Key Topics: Azure Defender, Sentinel, and compliance.
- Ideal For: Cloud security engineers and Azure users.
73. Google Cloud Security Essentials (Google Cloud Skills Boost)
This course introduces Google Cloud’s security framework, teaching you how to secure GCP resources and monitor potential threats. Topics include encryption, IAM roles, and implementing security policies across cloud environments.
- Platform: Google Cloud Skills Boost
- Duration: 6 hours
- Key Topics: Encryption, IAM, and security monitoring.
- Ideal For: IT administrators and GCP users.
74. Cybersecurity Fundamentals for Cloud Computing (edX)
This beginner-friendly course explains the basics of cybersecurity in cloud environments. It covers risk assessment, threat detection, and incident response, offering a broad overview of cloud-specific security challenges.
- Platform: edX
- Duration: 7 hours
- Key Topics: Risk assessment, threat detection, and incident response.
- Ideal For: Beginners in cloud security.
75. Securing Data in the Cloud (IBM via edX)
Offered by IBM, this course focuses on protecting sensitive data in the cloud. You’ll explore encryption methods, data masking, and access control mechanisms. It also covers regulatory compliance for industries like healthcare and finance.
- Platform: edX
- Duration: 8 hours
- Key Topics: Data encryption, masking, and compliance.
- Ideal For: Data security specialists.
76. Cloud Security with Kubernetes (Linux Foundation)
This course delves into securing Kubernetes clusters. Topics include managing containerized applications, implementing network policies, and protecting against vulnerabilities in Kubernetes environments.
- Platform: Linux Foundation
- Duration: 7 hours
- Key Topics: Kubernetes security, container vulnerabilities, and network policies.
- Ideal For: Kubernetes administrators and cloud engineers.
77. Introduction to Identity and Access Management (IAM) on AWS (AWS Training)
IAM is a cornerstone of AWS security. This course covers how to configure IAM policies, manage user roles, and secure access to cloud resources. It’s ideal for ensuring compliance and protecting against unauthorized access.
- Platform: AWS Training Portal
- Duration: 4 hours
- Key Topics: IAM policies, roles, and user management.
- Ideal For: AWS administrators and security teams.
78. Cloud Security Basics with Google Cloud (Coursera)
This course covers security fundamentals on GCP, focusing on configuring secure networks, encrypting data, and implementing best practices for identity management. Hands-on labs enhance learning with practical application scenarios.
- Platform: Coursera
- Duration: 6 hours
- Key Topics: Secure networking, encryption, and IAM.
- Ideal For: IT professionals and beginners in cloud security.
79. Zero Trust Security with Microsoft Azure (Microsoft Learn)
Zero Trust is a modern approach to securing cloud environments. This course explains how to implement Zero Trust principles on Azure using tools like Conditional Access, Multi-Factor Authentication (MFA), and Azure AD.
- Platform: Microsoft Learn
- Duration: 5 hours
- Key Topics: Zero Trust principles, Conditional Access, and Azure AD.
- Ideal For: Security professionals and IT managers.
80. Cloud Compliance and Governance (AWS Training)
This course focuses on compliance and governance in cloud computing, specifically on AWS. It includes topics like auditing, regulatory requirements, and implementing governance frameworks to ensure compliance across industries.
- Platform: AWS Training Portal
- Duration: 7 hours
- Key Topics: Auditing, compliance frameworks, and governance.
- Ideal For: IT auditors and compliance officers.
Cloud computing has transformed the way businesses operate, offering scalability, flexibility, and efficiency across industries. With the demand for cloud professionals continuing to rise, acquiring skills in this field is essential for staying competitive in the job market. The availability of free, high-quality courses across platforms like AWS, Microsoft Azure, and Google Cloud has made it easier than ever to embark on or advance your cloud computing journey.
This comprehensive guide to 70+ best free cloud computing courses highlights valuable learning opportunities for every skill level, from beginners to advanced professionals. Whether you’re interested in mastering platform-specific skills, diving into specialized areas like big data, DevOps, or security, or simply gaining a strong foundational knowledge, there’s a course for you.
