Mathematical thinking courses can help you learn logical reasoning, problem-solving techniques, statistical analysis, and mathematical modeling. You can build skills in critical thinking, data interpretation, and applying mathematical concepts to real-world situations. Many courses introduce tools like spreadsheets for data analysis, programming languages for simulations, and statistical software for research, showing how these skills are used in fields such as finance, engineering, and data science.

Skills you'll gain: Deep Learning, Applied Machine Learning, Artificial Intelligence, Computer Vision, Image Analysis, Natural Language Processing, Model Evaluation, Exploratory Data Analysis, Interactive Data Visualization, Performance Tuning, Data Import/Export
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Preprocessing, Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Convolutional Neural Networks, Matplotlib, Jupyter, Python Programming, NumPy, Data Manipulation, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis
Mixed · Course · 1 - 3 Months

Skills you'll gain: Image Analysis, Convolutional Neural Networks, Deep Learning, Model Evaluation, Recurrent Neural Networks (RNNs)
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Software Architecture, Solution Architecture, Business Architecture, Enterprise Architecture, Microservices, Cloud Computing Architecture, Service Oriented Architecture, Software Design, Business Process Modeling, Software Design Patterns, Technology Strategies, Process Design, Event-Driven Programming, Serverless Computing, Digital Transformation, Agile Software Development, Scalability, Distributed Computing, Restful API, Innovation
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Image Analysis, Model Evaluation, Generative AI, Convolutional Neural Networks, Deep Learning, Embeddings, Vision Transformer (ViT)
Advanced · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Site Reliability Engineering, Safety Culture, Culture Transformation, Continuous Delivery, DevOps, Service Level, Continuous Integration, Performance Measurement, Performance Metric, Change Management, Design Thinking, Automation, Data-Driven Decision-Making, Prototyping
Beginner · Course · 1 - 3 Months

Skills you'll gain: Agile Methodology, User Story, Agile Software Development, Business Analysis, Sprint Retrospectives, Agile Project Management, Agile Product Development, Team Building, Process Design, Scrum (Software Development), Risk Management, Business Requirements, User Acceptance Testing (UAT), Business Valuation, Requirements Analysis, Project Management, Prioritization
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Integrated Development Environments, User Interface (UI), Jupyter, Development Environment, Application Development, Python Programming, Test Case, Debugging, Computational Logic
Mixed · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Generative AI, Image Analysis, Deep Learning, Convolutional Neural Networks, Model Evaluation, Applied Machine Learning, Recurrent Neural Networks (RNNs)
Advanced · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Recurrent Neural Networks (RNNs), Machine Learning Methods, Artificial Neural Networks, Deep Learning, Natural Language Processing, Applied Machine Learning, Text Mining
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Image Analysis, Deep Learning, Convolutional Neural Networks, Model Deployment, Embeddings, Model Evaluation, Data Preprocessing, Recurrent Neural Networks (RNNs)
Advanced · Course · 1 - 4 Weeks