“The Microsoft Fabric implementation program gave our data engineering team a structured path from legacy pipelines to a modern lakehouse architecture.”
Enterprise Program Brief
Build Reliable Conversational Agents with Genie
Part of the Databricks Analytics Engineer pathway. Learn how to design, ship, and continuously improve Genie spaces business users can trust.
Program Snapshot
Engagement scoped to cohort
- MCT-led delivery
- Private cohort / virtual ILT
- Typical response: 1 business day
VNode ITeS delivers Build Reliable Conversational Agents with Genie as an MCT-led Databricks program for Analytics Engineer. Typical duration is Self-paced or instructor-led (Self-paced or instructor-led). Labs follow production-shaped scenarios rather than slide-only walkthroughs. Private cohorts can shift emphasis by role mix, workspace or repo constraints, and rollout timing.
Audience Profile
Built for these roles
SQL practitioners designing Genie spaces for business users.
- Analytics Engineer
- Analytics
- Tailored Team Delivery
- Implementation-Focused
Overview
Executive overview
Learn how to design, ship, and continuously improve Genie spaces business users can trust.
Prerequisites
- Working SQL and familiarity with Unity Catalog tables.
Program Outcomes
Capabilities your teams will gain
- Configure Genie Spaces with Unity Catalog tables, SQL warehouses, and benchmarks
- Curate the Knowledge Store with synonyms, descriptions, and prompt-matching features
- Encode business logic in SQL with derived expressions, joins, and instructions
- Govern access with Unity Catalog permissions and ABAC policies
- Iterate using benchmarks, user feedback, and observed outputs
Enterprise Delivery
Official learning & delivery options
Review the vendor learning resource, then book a consultation or request a private cohort for your team.
Curriculum
Curriculum roadmap
- Genie Spaces, Unity Catalog, and benchmarks
- Knowledge Store
- Business logic in SQL
- Unity Catalog permissions and ABAC
- Benchmarks and user feedback
1Module 1
Genie Spaces
+
Module 1
Genie Spaces
Configure Genie Spaces with Unity Catalog tables, SQL warehouses, and benchmarks.
- Configure Genie Spaces with Unity Catalog tables
- SQL warehouses
- and benchmarks
2Module 2
Knowledge Store
+
Module 2
Knowledge Store
Curate the Knowledge Store with synonyms, descriptions, and prompt-matching features.
- Curate the Knowledge Store with synonyms
- descriptions
- and prompt-matching features
3Module 3
Business logic in SQL
+
Module 3
Business logic in SQL
Encode business logic in SQL with derived expressions, joins, and instructions.
- Encode business logic in SQL with derived expressions
- and instructions
4Module 4
Permissions and ABAC
+
Module 4
Permissions and ABAC
Govern access with Unity Catalog permissions and ABAC policies.
- Govern access with Unity Catalog permissions
- ABAC policies
5Module 5
Iteration
+
Module 5
Iteration
Iterate using benchmarks, user feedback, and observed outputs.
- Iterate using benchmarks
- user feedback
- and observed outputs
Delivery Models
Delivery models
Engagement Fit
Engagement fit
- Implementation-focused labs
- Private cohort delivery
- Intermediate practitioner depth
- Business outcome alignment
Enterprise Customization
Enterprise customization
Tailor this program to your organization's priorities: Helps teams ship Genie spaces that business users can trust.
- Align the Genie space to a current business question set
Credentials
Certification & official source
Aligned to the official Databricks training catalog and certification guidance for this program.
View Databricks Training SourceResources
Program resources
Yes. Most enterprise clients prefer private delivery scoped to role mix, timezone, and rollout timeline. We align lab environments and scenarios to your tenant context where applicable.
Enterprise Proof
Trusted delivery outcomes
“We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.”
Banking & Finance
Representative Enterprise Banking Team
The focus was not just on tooling knowledge, but on helping teams work from a shared operating model as they adopted a more modern data platform.
- Clearer platform operating model across teams
- Improved confidence in modern data stack adoption
Retail & E-commerce
Representative Retail Analytics Team
Instead of treating reporting as a tooling issue alone, the work focused on consistency, governance, and shared delivery practices across analysts and engineering teams.
- Higher consistency in report design practices
- Improved collaboration between analysts and engineering teams
Delivery Capability
Enterprise-grade instruction
MCT-led delivery
Programs led by Microsoft Certified Trainer practitioners
Enterprise program oversight
Founder-led specialist delivery with structured rollout planning
Global delivery
APAC · EMEA · Americas · Virtual & Onsite
Implementation-focused
Hands-on labs aligned to production scenarios
