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.

Skills you'll gain: Model Deployment, Application Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Unit Testing, Docker (Software), Containerization, Kubernetes, AI Workflows, IBM Cloud, Microservices, Model Evaluation, Machine Learning, Natural Language Processing, Time Series Analysis and Forecasting, Continuous Monitoring, Data Science, Python Programming
Advanced · Course · 1 - 4 Weeks

LearnKartS
Skills you'll gain: Prompt Engineering, Computer Vision, Data Wrangling, Artificial Intelligence, Cloud Security, Embeddings, Model Deployment, MLOps (Machine Learning Operations), Data Security, Data Governance, Deep Learning, Encryption, Public Cloud, General Data Protection Regulation (GDPR)
Beginner · Specialization · 1 - 3 Months

Packt
Skills you'll gain: LangChain, Prompt Engineering, LLM Application, LangGraph, OpenAI API, Generative AI Agents, Agentic systems, AI Workflows, Large Language Modeling, Hugging Face, OpenAI, ChatGPT, Embeddings, Artificial Intelligence and Machine Learning (AI/ML), Development Environment, Application Development, Program Development, Retrieval-Augmented Generation, Artificial Intelligence, Data Processing
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: CI/CD, ASP.NET, Continuous Deployment, Application Deployment, Cloud Deployment, Restful API, Middleware, Continuous Integration, Software Testing, .NET Framework, Responsive Web Design, API Design, Data Migration, Azure DevOps, Configuration Management, Data Validation, HTML and CSS, Database Application, C# (Programming Language), Web Applications
Intermediate · Professional Certificate · 3 - 6 Months

Infosec
Skills you'll gain: Application Security, Serverless Computing, Secure Coding, Risk Management Framework, Threat Modeling, Cloud Security, Infrastructure Security, Cloud Services, Web Applications, Cloud Platforms, Javascript, Node.JS, Amazon Web Services
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Google Workspace, User Provisioning, User Accounts, Cloud Services, Systems Administration, Identity and Access Management
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, Responsible AI, Auditing, Compliance Auditing, AI Security, Risk Analysis, Risk Management, Artificial Intelligence, Risk Mitigation, Business Transformation, Machine Learning Methods
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Ggplot2, Scatter Plots, Plot (Graphics), Data Visualization, Data Visualization Software, Heat Maps, R Programming, Graphical Tools, Data Wrangling, Tidyverse (R Package), Graphics Software
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Dataflow, Data Validation, Google Cloud Platform, Data Pipelines, Data Import/Export, Data Infrastructure, Database Development, Big Data, Cloud Storage
Beginner · Project · Less Than 2 Hours

Coursera
Skills you'll gain: Terraform, Infrastructure as Code (IaC), Infrastructure As A Service (IaaS), Microsoft Azure, IT Automation, DevOps
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: AWS Kinesis, Model Evaluation, AWS SageMaker, Machine Learning Algorithms, Data Collection, Amazon Redshift, MLOps (Machine Learning Operations), Image Analysis, Reinforcement Learning, Amazon Web Services, Model Deployment, Data Preprocessing, Scalability, Classification Algorithms, Forecasting, Feature Engineering, Algorithms, Data Analysis, Predictive Modeling, Data Modeling
Beginner · Specialization · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Data Mining, Anomaly Detection, Unsupervised Learning, Supervised Learning, Classification Algorithms, Decision Tree Learning, Machine Learning Algorithms, Exploratory Data Analysis, Analysis, Machine Learning, Algorithms, Bayesian Statistics, Artificial Neural Networks, Model Evaluation
Build toward a degree
Intermediate · Course · 1 - 4 Weeks