Hands-on programs built around the tools data teams use every day.
Master Python from zero to building production-style data pipelines with pandas, APIs and files.
Build a modern cloud data warehouse with Snowflake and transform data the analytics-engineering way with DBT.
Design and build data pipelines on Azure with Data Factory, Data Lake Gen2, Databricks and Synapse.
Build serverless and big-data pipelines on AWS with S3, Glue, Athena, Redshift and Lambda.
Engineer data on Google Cloud with BigQuery, Cloud Storage, Dataflow and Cloud Composer.
Build Generative AI applications: prompt engineering, embeddings, RAG pipelines and AI agents with Python.
Statistics, machine learning and model deployment with Python.
Data modelling, DAX and interactive dashboards with Power BI.
