Cloud computing applications courses can help you learn cloud architecture, deployment models, data management, and security best practices. You can build skills in optimizing cloud resources, managing virtual environments, and implementing cloud-based solutions for various business needs. Many courses introduce tools like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform, showing how these platforms support application development, data storage, and scalable computing.

LearnQuest
Skills you'll gain: Microsoft Azure, Infrastructure As A Service (IaaS), Network Administration, Cloud Computing, Cloud Management, Cloud Services, Cloud Platforms
Beginner · Course · 1 - 3 Months
École Polytechnique Fédérale de Lausanne
Skills you'll gain: Scala Programming, Programming Principles, Object Oriented Programming (OOP), Functional Design, Computer Programming, Data Structures, Integrated Development Environments, Algorithms, Computational Thinking, Unit Testing
Intermediate · Course · 1 - 3 Months

Amazon Web Services
Skills you'll gain: Amazon Web Services, Cloud Infrastructure, Customer Analysis, Network Troubleshooting, Technical Consulting, Amazon S3, Cloud Computing, Technical Support, AWS Identity and Access Management (IAM), Amazon Elastic Compute Cloud, Requirements Analysis, Root Cause Analysis, Scenario Testing, System Support, Virtual Networking, Customer Support, Cloud Storage, Serverless Computing, System Monitoring, Data Security
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Kubernetes, Cloud Applications, Google Cloud Platform, Application Performance Management, Debugging
Intermediate · Project · Less Than 2 Hours

Skills you'll gain: Splunk, Network Troubleshooting, Data Integration, Scripting, Software Installation, System Monitoring, Data Pipelines, Network Monitoring, Secure Coding, System Configuration, Load Balancing, Configuration Management, System Implementation
Beginner · Course · 1 - 3 Months

Skills you'll gain: Fraud detection, Marketing Analytics, Predictive Modeling, Customer Analysis, Feature Engineering, Marketing Effectiveness, Exploratory Data Analysis, Anomaly Detection, Customer Retention, Advanced Analytics, Market Analysis, Predictive Analytics, Statistical Analysis, Sales Management, Analytics, Data Analysis, R Programming, Credit Risk, Applied Machine Learning, Analytical Skills
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Model Evaluation, Model Deployment, Data Preprocessing, MLOps (Machine Learning Operations), Data Cleansing, Microservices, Data Pipelines, Feature Engineering, Data Quality, Data Validation, Containerization, Application Deployment, Service Level, Extract, Transform, Load, Data Transformation, System Monitoring, Applied Machine Learning, Machine Learning Methods, Performance Tuning, Machine Learning Algorithms
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Supervised Learning, Feature Engineering, Applied Machine Learning, Unsupervised Learning, Model Evaluation, Machine Learning Algorithms, Predictive Modeling, Data Preprocessing, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Performance Tuning
Advanced · Course · 1 - 3 Months

Skills you'll gain: Selenium (Software), Test Automation, Software Testing, Test Script Development, Test Tools, Automation, C# (Programming Language), Scripting, Browser Compatibility, UI Components, User Interface (UI), Web Components
Beginner · Course · 1 - 4 Weeks

Pragmatic AI Labs
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Workflow Management, Collaboration, Team Building, Project Coordination, Teamwork, Project Management, Project Management Software, User Feedback, Security Controls, Strategic Communication, Automation, Team Management, Role-Based Access Control (RBAC), Business Process Automation, Constructive Feedback, Collaborative Software, Communication, Authorization (Computing), Productivity Software, Data Security
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Image Analysis, Transfer Learning, Multimodal Prompts, Model Evaluation, Data Preprocessing, Debugging, Computer Vision, PyTorch (Machine Learning Library), Feature Engineering, Tensorflow, Algorithms, Embeddings, Model Deployment, Real Time Data, Visualization (Computer Graphics), Applied Machine Learning, Ethical Standards And Conduct, Root Cause Analysis, Deep Learning, Systems Design
Intermediate · Specialization · 3 - 6 Months