Android programming courses can help you learn Java and Kotlin, app lifecycle management, user interface design, and database integration. You can build skills in debugging, performance optimization, and implementing APIs for enhanced functionality. Many courses introduce tools like Android Studio for development, Firebase for backend services, and Git for version control, allowing you to create robust applications and collaborate effectively on projects.

Skills you'll gain: No-Code Development, Application Deployment, AI Integrations, Workflow Management, LLM Application, Cloud Deployment, AI Workflows, Agentic Workflows, Business Process Automation, Application Development, AI Orchestration, Prompt Engineering, Performance Analysis, Document Management, Agentic systems, Open Source Technology
Beginner · Course · 1 - 4 Weeks
University of London
Skills you'll gain: Model Training, Applied Machine Learning, Feature Engineering, Machine Learning Software, Machine Learning, Machine Learning Methods, Artificial Intelligence, Statistical Machine Learning, Model Evaluation, Machine Learning Algorithms, AI literacy, Test Data, Data Collection, Classification Algorithms
★ 4.7 (3.5K) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Autoencoders, Model Deployment, Deep Learning, Model Optimization, PyTorch (Machine Learning Library), Model Evaluation, Artificial Neural Networks, Model Training, Convolutional Neural Networks, Performance Tuning, Artificial Intelligence, Scalability, Python Programming, Machine Learning, Memory Management, Image Quality, Performance Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Debugging, Technical Communication, Network Troubleshooting, Performance Tuning, Problem Management, Technical Documentation, System Monitoring, Capacity Management, Incident Management, Memory Management, Continuous Integration, Continuous Monitoring
★ 4.6 (3.1K) · Beginner · Course · 1 - 4 Weeks

Pragmatic AI Labs
Skills you'll gain: MLOps (Machine Learning Operations), Databricks, Apache Spark, Model Evaluation, Hugging Face, Data Architecture, Recurrent Neural Networks (RNNs), LLM Application, Data Science, Data Mining, Mathematical Modeling, Scala Programming, Continuous Monitoring, Rust (Programming Language), Lean Six Sigma, Statistical Inference, Artificial Intelligence, Functional Testing, Exploratory Data Analysis, Programming Principles
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Node.JS, Cloud Deployment, MongoDB, Role-Based Access Control (RBAC), Application Deployment, Server Side, Back-End Web Development, Restful API, Application Programming Interface (API), Redis, Authorization (Computing), API Testing, Authentications, NoSQL, Security Controls, Performance Tuning, Secure Coding, Geospatial Information and Technology, Scalability, Performance Testing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Version Control, Git (Version Control System), CI/CD, DevOps, GitHub, Devops Tools, Linux Commands, Linux, Cloud Infrastructure, Amazon Web Services, Linux Administration, Continuous Integration, Linux Servers, Software Versioning, Cloud Hosting, Amazon Elastic Compute Cloud, Continuous Delivery, Software Development Life Cycle, Flask (Web Framework), Agile Software Development
Intermediate · Course · 1 - 3 Months

Skills you'll gain: UI Components, User Interface (UI), Mobile Development, Code Reusability, User Interface (UI) Design, Mobile Development Tools, Cloud Applications, Frontend Integration, Cloud Development, Cloud-Based Integration, Application Frameworks, Server Side, Cross Platform Development, Serverless Computing, Development Environment, Web Development, Real Time Data, Software Installation
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Model Training, Machine Learning Methods, Feature Engineering, Supervised Learning, Machine Learning Software, Classification And Regression Tree (CART), Predictive Analytics, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis
★ 4.5 (3.3K) · Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Metadata Management, Data Governance, Dependency Analysis, Data Management, Data Modeling, Personally Identifiable Information, Data Security, Data Quality, Data Compilation, Data Processing, Data Presentation, Automation, Docker (Software), Application Programming Interface (API), Application Lifecycle Management
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Vector Databases, AI Integrations, LangChain, Data Integration, Retrieval-Augmented Generation, Prompt Engineering, AI Orchestration
Intermediate · Course · 1 - 4 Weeks

Intermediate · Specialization · 3 - 6 Months