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: DevOps, Agile Methodology, Cloud-Native Computing, CI/CD, Test Driven Development (TDD), Scrum (Software Development), Behavior-Driven Development, Performance Metric, Accountability, Team Oriented, Culture Transformation, Microservices, Cross-Functional Collaboration
Beginner · Course · 1 - 3 Months

Skills you'll gain: Adobe Express, Responsible AI, Logo Design, Digital Design, Layout Design, Generative AI, Social Media, Content Creation, Graphic Design, Social Media Management, Creative Design, Adobe Photoshop, Visual Design, Content Marketing, Infographics, Content Strategy, Typography, Color Theory, Storytelling, Branding
Beginner · Professional Certificate · 3 - 6 Months

Stanford University
Skills you'll gain: Game Theory, Mathematical Modeling, Graph Theory, Bayesian Statistics, Behavioral Economics, Probability, Economics, Problem Solving, Algorithms, Probability Distribution
Beginner · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: No-Code Development, Google Workspace, Data Entry, Cloud Applications, Google Cloud Platform, Data Maintenance, Data Manipulation, Data Validation, Web Applications, Data Management
Beginner · Project · Less Than 2 Hours

DeepLearning.AI
Skills you'll gain: Natural Language Processing, Supervised Learning, Transfer Learning, Recurrent Neural Networks (RNNs), Markov Model, Embeddings, Text Mining, Dimensionality Reduction, Machine Learning Methods, Statistical Machine Learning, Artificial Neural Networks, Classification Algorithms, Data Preprocessing, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Feature Engineering, Applied Machine Learning, Algorithms, Keras (Neural Network Library)
Intermediate · Specialization · 3 - 6 Months

Google Cloud
Skills you'll gain: Prompt Engineering, Google Gemini, Multimodal Prompts, Generative AI, LLM Application, AI Product Strategy, Product Lifecycle Management, Model Deployment, Prototyping
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Image Analysis, Convolutional Neural Networks, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Artificial Intelligence, Data Preprocessing, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Scrimba
Skills you'll gain: Prompt Engineering, Anthropic Claude, Responsible AI, OpenAI API, Cloud Deployment, Cloud Applications, LLM Application, OpenAI, HTML and CSS, ChatGPT, Application Deployment, Mobile Development, API Gateway, Generative AI, Model Deployment, Cloud Security, Data Ethics, Application Programming Interface (API), Debugging, Artificial Intelligence
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Data Architecture, Cloud Computing Architecture, Extract, Transform, Load, Cost Control, Cost Reduction, Expense Management, Cost Management, Data Storage, Data Manipulation, Descriptive Analytics, Data Analysis
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Shiny (R Package), Cloud Deployment, Interactive Data Visualization, Application Deployment, Data Visualization, Server Side, Performance Tuning, R (Software), Dashboard, Application Lifecycle Management, Data Visualization Software, User Interface (UI), Web Applications, Authentications, Application Development, User Interface (UI) Design, Exploratory Data Analysis, Interactive Design, R Programming, Data Management
Beginner · Specialization · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Rmarkdown, Version Control, Data Science, R (Software), GitHub, Data Literacy, Data Analysis, R Programming, Statistical Programming, Exploratory Data Analysis, Software Installation
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Autoencoders, Unsupervised Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Statistical Methods, Logistic Regression, Tensorflow, Image Analysis, Data Preprocessing, Model Deployment, Computer Vision
Intermediate · Professional Certificate · 3 - 6 Months