Build practical Data & AI skills for real-world projects
Intensive three-day instructor-led training programs covering Microsoft Foundry, Azure Databricks, Microsoft Fabric and Power BI. Learn through expert demonstrations, realistic scenarios and extensive hands-on labs designed to take skills beyond theory and into production-ready practice.
| Course | EST Cohort Dates | Training Time | Duration | Price |
|---|---|---|---|---|
| Microsoft Fabric Data Engineer | 7–11 December 2026 | 9:00 AM–1:00 PM EST | 5 days / 20 hrs | US$2,495 pp |
| Power BI Analyst | 14–18 December 2026 | 9:00 AM–1:00 PM EST | 5 days / 20 hrs | US$2,195 pp |
| Microsoft Foundry AI Engineer | 25–29 January 2027 | 9:00 AM–1:00 PM EST | 5 days / 20 hrs | US$2,695 pp |
| Azure Databricks Data Engineer | 8–12 February 2027 | 9:00 AM–1:00 PM EST | 5 days / 20 hrs | US$2,495 pp |
All courses are delivered live online and include instructor-led demonstrations and hands-on labs. Prices are per participant in USD. Scheduled course dates are subject to minimum enrolment numbers being met.
Choose your learning pathway
Four practical programs designed for professionals who want to build modern AI, data engineering and analytics capabilities using leading Microsoft and Databricks technologies.
Microsoft Foundry AI Engineer
Build production-ready generative AI solutions from foundation model integration and RAG through agents, evaluation, security, observability and deployment.
- Microsoft Foundry & Foundry Models
- RAG and Azure AI Search
- AI agents, tools and actions
- Evaluation and Responsible AI
- Security, observability and deployment
Azure Databricks Data Engineer
Engineer a complete Formula 1 lakehouse solution using Bronze, Silver and Gold layers while implementing data quality, CDC, orchestration and production engineering practices.
- Apache Spark, PySpark & Spark SQL
- Delta Lake & Unity Catalog
- Lakeflow pipelines and Jobs
- CDC, SCD and data quality
- Git and deployment automation
Microsoft Fabric Data Engineer
Build a complete Fabric data engineering solution using Formula 1 data—from OneLake ingestion and medallion transformations through orchestration, incremental processing, monitoring and deployment.
- OneLake and Fabric Lakehouse
- Data Factory pipelines
- Notebooks, PySpark and Spark SQL
- Incremental and metadata-driven loading
- Git and Fabric Deployment Pipelines
Power BI Analyst
Transform real Formula 1 data into trusted analytical models, business measures and interactive dashboards while developing practical end-to-end Power BI skills.
- Power Query and data preparation
- Star schema and semantic modelling
- DAX and time intelligence
- Dashboard and report design
- Security, publishing and refresh
Practical training designed for the real world
The programs combine concepts, instructor demonstrations, guided implementation and hands-on labs so participants understand not only what a technology does, but how to use it effectively in enterprise projects.
Expert Instruction
Concepts are explained in context and demonstrated through practical implementation scenarios.
Hands-On Labs
Apply each major concept directly rather than learning through presentation slides alone.
End-to-End Projects
Follow realistic implementation journeys that connect individual platform capabilities together.
Production Focus
Explore governance, security, quality, monitoring, deployment and operational considerations.
Microsoft Foundry AI Engineer
This three-day instructor-led course is designed for AI Engineers, Developers and Cloud Developers who want to build production-ready generative AI applications with Microsoft Foundry.
Through instructor demonstrations and extensive hands-on labs, participants build an enterprise AI application from foundation model integration through grounding, agent development, evaluation, security, observability and deployment.
What you will learn
- Work with foundation models in Microsoft Foundry
- Build generative AI applications using Python
- Ground AI applications using enterprise data
- Implement Retrieval-Augmented Generation
- Integrate Azure AI Search
- Build agents with tools and actions
- Evaluate AI application quality
- Apply Responsible AI and safety controls
- Secure applications with Entra ID and RBAC
- Implement telemetry and observability
- Use Application Insights and OpenTelemetry
- Prepare applications for deployment
Technologies covered
Azure Databricks Data Engineer
Build production-ready data engineering solutions on Azure Databricks through this three-day instructor-led training program with extensive hands-on labs.
Using the Formula 1 World Championship dataset, participants work through a realistic end-to-end lakehouse project—ingesting data, building Bronze, Silver and Gold layers, implementing data quality and CDC, orchestrating workloads, optimising performance and preparing pipelines for production deployment.
What you will learn
- Build a modern Azure Databricks lakehouse
- Process data using Apache Spark and PySpark
- Query and transform data using Spark SQL
- Build Bronze, Silver and Gold layers
- Work with Delta Lake tables
- Govern data using Unity Catalog
- Implement incremental ingestion with Auto Loader
- Build Lakeflow declarative pipelines
- Apply data quality expectations
- Implement CDC and SCD patterns
- Orchestrate processing with Lakeflow Jobs
- Optimise and monitor production workloads
- Apply Git-based development practices
- Prepare automated deployments
Technologies covered
Microsoft Fabric Data Engineer
Turn raw data into production-ready pipelines with Microsoft Fabric in this intensive three-day, instructor-led data engineering accelerator.
Participants build a complete data engineering solution using real Formula 1 World Championship data—ingesting race data into OneLake, transforming it through Bronze, Silver and Gold layers, automating pipelines, handling incremental updates, troubleshooting failures and preparing the solution for production deployment.
What you will learn
- Understand Microsoft Fabric architecture
- Build solutions using OneLake and Lakehouse
- Create and manage Delta tables
- Build Data Factory pipelines
- Ingest data using Copy Activity
- Transform data using Fabric notebooks
- Use Apache Spark, PySpark and Spark SQL
- Work with Dataflow Gen2
- Use SQL analytics endpoints
- Build metadata-driven ingestion
- Implement incremental loading patterns
- Add monitoring and auditing
- Use Variable Libraries
- Work with Git integration
- Deploy through Fabric Deployment Pipelines
Technologies covered
Power BI Analyst
Build the skills to turn complex business data into clear, trusted and decision-ready insight through this three-day instructor-led Power BI accelerator.
Using the Formula 1 World Championship dataset, participants work with engaging real-world data to prepare and transform information, build analytical models, create business measures and develop interactive dashboards that mirror the challenges faced by modern analysts.
What you will learn
- Prepare data with Power Query
- Design analytical semantic models
- Apply star schema modelling techniques
- Create business calculations using DAX
- Implement time intelligence
- Design effective data visualisations
- Build interactive reports and dashboards
- Analyse and communicate business performance
- Optimise model and report performance
- Implement row-level security
- Work with Power BI Service
- Manage workspaces and publishing
- Configure and understand refresh
- Build an end-to-end analytics solution
Technologies covered
Training for individuals and teams
Talk to Pearl Innovations about upcoming courses or instructor-led training tailored to your organisation, team capability and technology environment.
Instructor-Led Training
Structured three-day programs combining expert instruction, demonstrations and guided labs.
Private Team Training
Deliver a dedicated program for your organisation and develop capability across your technical team.
Customised Training
Adapt course emphasis, examples and labs to align with your organisation’s technology priorities.
Designed for technology professionals
Whether you are building new capability, moving into a Data or AI role, or strengthening an existing engineering or analytics team, the programs focus on practical implementation skills.
Ready to develop practical Data & AI skills?
Contact Pearl Innovations to discuss upcoming training, private team delivery, customised programs, dates and course requirements.