Mathematical model courses can help you learn statistical analysis, optimization techniques, differential equations, and simulation methods. You can build skills in data interpretation, problem-solving, and applying quantitative reasoning to real-world situations. Many courses introduce tools like MATLAB, R, and Python, that support creating and analyzing models, enabling you to visualize complex data and derive meaningful insights.

Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Training, DevOps, Application Lifecycle Management, Machine Learning Methods, AI Workflows, Applied Machine Learning, Automation
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: AI Integrations, AI Enablement, Prompt Engineering, AI literacy, AI Workflows, Artificial Intelligence, Automation, Model Optimization, Operational Analysis, Configuration Management, Model Evaluation, Software Documentation, Productivity
Intermediate · Course · 1 - 4 Weeks

Kennesaw State University
Skills you'll gain: Target Market, Strategic Marketing, Target Audience, Marketing, Market Opportunities, Product Marketing, Marketing Strategy and Techniques, Product Strategy, Market Research, Growth Strategies, Market Analysis, Customer Analysis, Marketing Psychology, Value Propositions, Revenue Management, Promotional Strategies, Competitive Analysis, Consumer Behaviour, Product Promotion
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Software Design, IntelliJ IDEA, Object Oriented Programming (OOP), Object Oriented Design, Software Architecture, Java, Java Programming, Integrated Development Environments, Development Environment, Data Structures, Command-Line Interface, Data Management
★ 4.7 (22) · Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: LLM Application, Retrieval-Augmented Generation, Generative AI, Prompt Engineering, Prompt Patterns, Google Cloud Platform, Large Language Modeling, Prompt Engineering Tools, Application Deployment, Model Optimization
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Prompt Engineering, Fine-tuning, Generative AI, Generative Model Architectures, Prompt Patterns, Responsible AI, Model Deployment, Large Language Modeling, Generative Adversarial Networks (GANs), Data Ethics, Natural Language Processing, Transfer Learning, Artificial Intelligence, Model Training, Python Programming, Model Optimization, Machine Learning, Deep Learning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Test Driven Development (TDD), Generative Model Architectures, Image Analysis, Computer Vision, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Fine-tuning, AI powered creativity, Applied Machine Learning, Model Training, Deep Learning, Keras (Neural Network Library), Python Programming, Development Environment, Software Installation
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Model Training, Generative Model Architectures, Generative AI, Natural Language Processing, Machine Learning Methods
Advanced · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Generative AI Agents, Google Cloud Platform, Generative AI, MLOps (Machine Learning Operations), Cloud Infrastructure, Prompt Engineering, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Model Training, Artificial Intelligence, No-Code Development, Data Preprocessing, Machine Learning
Beginner · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Model Optimization, Machine Learning Methods, Natural Language Processing, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Gemini, Prompt Engineering, Google Gemini, Generative AI, Prompt Patterns, Multimodal Prompts, Prototyping, Model Deployment, Google Cloud Platform, Large Language Modeling, Application Deployment, Fine-tuning
Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Incident Response, AI Security, Incident Management, Model Deployment, Site Reliability Engineering, Patch Management, MLOps (Machine Learning Operations), System Monitoring, Problem Management, Computer Security Incident Management, Dependency Analysis, Disaster Recovery, Anomaly Detection, Application Deployment, Automation, Dashboard Creation
Intermediate · Course · 1 - 4 Weeks