Courses
Applied programming for energy, data and AI. Catalog courses and custom training.
Claude Code
Build tools that automate your daily tasks. Process data, organize files, generate reports—all by describing what you need in plain language.
Python for Energy — Basic
Learn to manipulate energy market data with Python, automate Excel reports, query PostgreSQL databases, and process XML files. Hands-on with real OMIE/e·sios data.
Python for Energy — Advanced
Build predictive models for energy prices, detect market anomalies, and deploy ML pipelines. AI agents as programming assistants, scikit-learn, SHAP, and end-to-end ML engineering.
Vibe Coding: Data Analytics
Learn to analyze data, build dashboards and generate insights using AI-assisted coding. From raw data to actionable visualizations—all by describing what you need.
Machine Learning for Energy — Advanced
Advanced course on machine learning applied to energy: AI agents for programming, predictive models with scikit-learn, model interpretability with SHAP, time series analysis, and pattern detection on real market data.
Python for Energy — Applied
A comprehensive hands-on course covering Python fundamentals, data analysis with pandas, PostgreSQL integration, Excel automation, and file processing—all applied to real energy sector data.