Environmental science courses can help you learn about ecosystems, biodiversity, climate change, and environmental policy. You can build skills in data analysis, field research techniques, and environmental impact assessments. Many courses introduce tools like Geographic Information Systems (GIS) for mapping and analyzing environmental data, as well as statistical software for interpreting research findings. You'll also explore methods for sustainable resource management and strategies for addressing environmental challenges.

Skills you'll gain: Scatter Plots, Data Visualization, Regression Analysis, Excel Formulas, Microsoft Excel, Data Analysis, Descriptive Statistics, Data Visualization Software, Analytics, Statistical Analysis, Statistical Methods, Descriptive Analytics, Correlation Analysis, Statistics, Analysis, Exploratory Data Analysis, Pivot Tables And Charts, Trend Analysis
Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Apache Kafka, Data Loss Prevention, Performance Tuning, System Monitoring, Prometheus (Software), Scalability, Real Time Data, Grafana, Process Optimization, Distributed Computing, System Configuration, Command-Line Interface, Content Strategy
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: Containerization, LangChain, Microservices, Application Deployment, Cloud Deployment, Docker (Software), Kubernetes, LLM Application, Large Language Modeling, MLOps (Machine Learning Operations), Prometheus (Software), API Design, Scalability, System Monitoring, Performance Testing, Grafana
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: AI Security, Threat Modeling, Open Web Application Security Project (OWASP), Security Testing, Retrieval-Augmented Generation, Software Architecture, API Design, Test Automation, Vulnerability Management, Agentic systems, Systems Design, Model Evaluation, Test Driven Development (TDD), CI/CD, Python Programming, Continuous Deployment, Dependency Analysis, Large Language Modeling, Machine Learning, Performance Analysis
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Infrastructure as Code (IaC), Scripting, Cloud Deployment, Data Persistence, Python Programming, Command-Line Interface, Virtual Machines, Data Pipelines
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Data Preprocessing, Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Model Evaluation, Supervised Learning, Decision Tree Learning, Probability & Statistics, Statistics, Machine Learning Software, Classification And Regression Tree (CART), Workflow Management, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Applied Machine Learning
Advanced · Professional Certificate · 3 - 6 Months

Coursera
Skills you'll gain: Responsible AI, Threat Modeling, MLOps (Machine Learning Operations), Security Testing, Secure Coding, Cost Management, Data Ethics, Data Governance, Experimentation, Prompt Engineering, Application Security, CI/CD, Automation, Financial Forecasting, Compliance Management, Governance, Technical Documentation, Vulnerability Assessments, Risk Management, Stakeholder Communications
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Web Development Tools, Software Development, Regression Testing, Web Content Accessibility Guidelines, GitHub
Intermediate · Course · 1 - 3 Months

Skills you'll gain: AutoCAD, Architectural Drawing, 3D Modeling, Computer-Aided Design, Drafting and Engineering Design, Architectural Design, Building Design, As-Built Drawings
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Performance Tuning, Database Design
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Apache Airflow, Data Pipelines, Data Validation, Extract, Transform, Load, Data Migration, Data Quality, Data Integrity, Data Transformation, Data Modeling, System Monitoring, Continuous Monitoring, Scalability, Technical Communication
Intermediate · Course · 1 - 4 Weeks
Coursera
Skills you'll gain: Experimentation, Business Metrics, Data Storytelling, Return On Investment, Model Evaluation, Dashboard, Performance Measurement, Business Valuation, Key Performance Indicators (KPIs), A/B Testing, Performance Analysis, Analysis, Product Management, Machine Learning, Financial Analysis, Business, Stakeholder Communications, Sample Size Determination, Power Electronics
Intermediate · Course · 1 - 4 Weeks