Mathematical optimization courses can help you learn linear programming, integer programming, and nonlinear optimization techniques. You can build skills in formulating optimization problems, analyzing constraints, and applying algorithms to find optimal solutions. Many courses introduce tools like Python, R, and MATLAB, which are used to implement optimization models and analyze data effectively.

Skills you'll gain: Node.JS, Scalability, Authentications, JSON, Authorization (Computing), Web Development Tools, Web Applications, Web Development, Server Side, Back-End Web Development, Application Frameworks, Javascript, Restful API, Development Environment, Operating Systems, Email Automation, Microsoft Visual Studio
Intermediate · Course · 1 - 4 Weeks

University of Colorado System
Skills you'll gain: Responsible AI, Agentic systems, Data Ethics, Agentic Workflows, AI Enablement, Artificial Intelligence, Healthcare Ethics, AI Workflows, AI Security, AI Orchestration, Applied Machine Learning, Health Technology, AI Personalization, Health Systems, Solution Design, Predictive Modeling, Predictive Analytics
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Computer Vision, Model Evaluation, PyTorch (Machine Learning Library), Supervised Learning, Unsupervised Learning, Image Analysis, Applied Machine Learning, Data Preprocessing, Dimensionality Reduction, Reinforcement Learning, Feature Engineering, Machine Learning Algorithms, Convolutional Neural Networks, Regression Analysis, Data Processing, Machine Learning, Data Mining, Data Cleansing, Deep Learning, Artificial Neural Networks
Intermediate · Specialization · 3 - 6 Months

LearnKartS
Skills you'll gain: Microservices, Network Monitoring
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Oracle SQL Developer, Oracle Databases, Database Design, Data Manipulation, SQL, Relational Databases, Database Management, Databases, Data Transformation, Case Studies, Query Languages, Pivot Tables And Charts, Data Analysis, Performance Tuning, Business Intelligence, Analytics
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Data Structures, Algorithms, Computer Programming, Computational Thinking, Theoretical Computer Science, Performance Tuning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Database Administration, Database Architecture and Administration, Database Management, Apache Airflow, Operational Databases, PostgreSQL, MySQL, Data Warehousing, Data Pipelines, Extract, Transform, Load, Database Design, SQL, Data Architecture, Performance Tuning, Disaster Recovery, Data Security, Data Import/Export, Data Transformation
Advanced · Course · 1 - 3 Months

Skills you'll gain: System Monitoring, Microsoft Azure, Query Languages, Application Performance Management, Cloud Management, Continuous Monitoring, Real Time Data, Interactive Data Visualization, Virtual Machines, Scalability, Resource Management
Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Microsoft Power Automate/Flow, Microsoft Power Platform, Microsoft 365, Data Integration, Digital Transformation, React.js, Frontend Performance, Business Process Automation, Web Development Tools, Automation, Process Optimization, Application Programming Interface (API), Data Transformation, Integration Testing, UI Components, Development Testing, Authentications
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Miro AI, Brainstorming, UI/UX Strategy, Ideation, User Experience Design, User Interface and User Experience (UI/UX) Design, Design and Product, Design Thinking, Innovation, Conceptual Design, Collaborative Software, User Interface (UI) Design, Product Improvement, Team Oriented, Product Development
Intermediate · Guided Project · Less Than 2 Hours
Skills you'll gain: Prompt Engineering, Applicant Tracking Systems, Responsible AI, Google Gemini, Talent Acquisition, Recruitment, HR Tech, Generative AI, Microsoft Power Automate/Flow, ChatGPT, Business Process Automation, Automation
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Markov Model
Intermediate · Course · 1 - 3 Months