Databricks Training Course

Azure Databricks is a cloud-based collaborative platform that supports big data analytics and machine learning using Apache Spark and the Microsoft Azure ecosystem.

This instructor-led, live training (online or onsite) is aimed at intermediate-level data professionals who wish to design, build, and deploy machine learning models using Azure Databricks for financial use cases in a government context.

By the end of this training, participants will be able to:

• Build and train machine learning models using financial data in Azure Databricks.
• Use MLflow to track experiments, manage models, and deploy solutions for government applications.
• Apply models to detect anomalies, assess risks, or forecast trends in finance for government purposes.
• Integrate ML models into scalable pipelines for continuous evaluation and compliance with government standards.

Format of the Course

• Interactive lecture and discussion aligned with public sector workflows.
• Extensive exercises and practice to ensure proficiency in government environments.
• Hands-on implementation in a live-lab environment tailored for government use.

Course Customization Options

• To request a customized training for this course, specifically tailored to meet the needs of your government agency, please contact us to arrange.

Databricks is a unified Lakehouse platform that integrates Spark, Delta Lake, and governance (Unity Catalog) to support scalable data engineering and analytics workflows for government.

This instructor-led, live training (online or onsite) is aimed at intermediate-level technology managers with a data engineering background who wish to migrate complex procedural OLAP logic to a Lakehouse architecture using Databricks, Spark, Delta Lake, Unity Catalog, and native workflows for government.

Upon completion of this training, participants will be able to:

• Explain the Lakehouse architecture and the Bronze→Silver→Gold (Medallion) pattern.
• Translate stored-procedure logic into Spark DataFrame and notebook implementations for government.
• Design and implement incremental ingestion, merge, and optimization routines using Delta Lake for government workflows.
• Build end-to-end orchestrated pipelines with Databricks Workflows, version control, testing, and governance for government.

Format of the Course

• Intensive, instructor-led sessions with focused demonstrations and explanations.
• Daily hands-on labs using representative datasets and migration exercises.
• Guided code reviews, performance tuning clinics, and workflow orchestration practice.

Course Customization Options

• This course can be tailored to your environment, datasets, and governance requirements for government; please contact us to arrange customization.

Databricks Lakehouse is a unified data and AI platform that integrates data engineering, data science, and analytics on a single, scalable foundation.

This instructor-led, live training (online or onsite) is designed for intermediate to advanced-level data engineers and analytics professionals who seek end-to-end, production-ready skills in data engineering using Databricks, Apache Spark, orchestration, and downstream visualization tools.

By the end of this training, participants will be able to:

• Design and implement scalable ETL/ELT pipelines on the Databricks Lakehouse platform for government.
• Utilize Spark and advanced SQL effectively for large-scale data processing and optimization.
• Build, train, and deploy models using Big Data ML patterns and Databricks tooling.
• Implement data modeling and ingestion patterns aligned with analytics and reporting requirements.
• Automate workflows with Airflow/Astronomer and operationalize processes with Git-based CI/CD.
• Create production-grade dashboards and visualizations using Tableau integrated with Databricks.
• Deliver a customized capstone project demonstrating an end-to-end Lakehouse solution for government.

Format of the Course

• Theoretical lectures with focused daily topics and assigned reading.
• Extensive hands-on labs in Databricks and cloud environments.
• Weekly practical assessments and preparation for certification badges.
• Guided project work with instructor mentorship and peer reviews.
• Final customized capstone project and presentation for government.

Course Customization Options

• To request a customized training for this course, please contact Govtra to arrange.

Databricks is a unified analytics platform designed for big data and machine learning in collaborative environments.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level data analysts and financial professionals who wish to perform large-scale data analysis using Databricks in finance-related use cases.

By the end of this training, participants will be able to:

• Utilize Databricks notebooks to query and analyze financial datasets.
• Clean and transform raw financial data for reporting and insights.
• Create dashboards and visualizations for performance tracking.
• Collaborate with team members in real-time on shared notebooks.

Format of the Course

• Interactive lecture and discussion.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for government or other specific needs, please contact us to arrange.