Forward Deployed Engineer
Foundations through capstone
- Core modules
- 18
- Teaching topics
- 103
- Hands-on
- 56
Every module, topic, practice brief and capstone, published in full. Curricula are available now; lesson videos are being prepared.
18 courses
Foundations through capstone
From machine learning foundations to a working, tested AI agent
Plant data to a predictive model to an advisor agent, on Azure
What generative AI is, what it can do, and where the lines are
Prompting, applied use cases, and leading an organisation through adoption
Using an AI coding assistant across the whole software lifecycle, and governing it
Building, integrating and governing enterprise agents on the Microsoft stack
Architecting systems where AI is part of the system, not a feature bolted on
Banking data at scale, from storage through analysis to models and dashboards
Build a governed lakehouse on Azure — ingestion through reporting
From Python, data and cloud basics to a deployed generative AI application and a governed multi-agent system
SQL, Python and Spark through Data Factory, Databricks, Snowflake, Power BI and Fabric to a governed, deployed data platform
SQL, Python and Spark through S3, Glue, Athena, Kinesis, Redshift, Databricks, dbt and Snowflake to a working analytics platform
Architecture, modelling, pipelines, governance, performance and Cortex AI on one governed platform
Streaming pipelines, Unity Catalog governance, DevOps, MLflow and AI agents on the Databricks platform
OneLake, lakehouses, pipelines, warehouses, Power BI, Real-Time Intelligence and AI in one analytics platform
Data layers, RAG, GPU platforms, model serving, MLOps, security, agents, observability and FinOps for enterprise AI
Leading AI-assisted engineering in embedded and systems teams: Copilot, context, orchestration, PR quality, reusable skills, observability and ROI