Join Snowflake on September 23 and September 24th for a 2-day virtual SnowCamp dedicated to the AstraZeneca team.
See details below. Register now to reserve your virtual seat!
Agenda details:
Day 1
Module 1: Orientation & Architecture
- Snowflake AI Data Cloud overview and structure
- Storage, Compute, and Cloud Services layers
- Navigating Snowsight and Workspaces
- Object hierarchy: databases, schemas, tables, views
- Lab: Navigate objects, explore the shared dataset, create personal workspace
Module 2: Querying with Cortex Code (CoCo)
- Introduction to CoCo as an AI coding assistant
- Natural language to SQL generation
- Iterative query refinement and debugging
- Lab: Query the course dataset using CoCo, build persona-relevant reports
Module 3: Access Control & RBAC
- Roles, privileges, and the grant hierarchy
- Ownership and discretionary access control
- Principle of least privilege
- Lab: Configure grants, demonstrate deny→grant flow, persona-specific access scenarios
Module 4: Getting Data In
- Stages (internal and external)
- File formats and COPY INTO
- Transformations during load
- Lab: Load CSV/JSON data, apply transformations, validate results
Module 5: Cortex AI Functions
- AI_SENTIMENT, AI_CLASSIFY, AI_EXTRACT, AI_SUMMARIZE
- AI_COMPLETE for custom prompts
- Applying AI functions to business data
- Lab: Apply AI functions to course dataset per persona use case
Day 2
Module 6: Unstructured Data & AI
- Working with files on stages
- AI_PARSE_DOCUMENT for text extraction/OCR
- Cortex Search for semantic retrieval
- Lab: Process documents from stage, extract structured fields, build a search index
Module 7: Structured Data & Semantic Views
- Building a semantic view via CoCo
- Reviewing different components
- Working with verified queries
- Sample Q/A
Module 8: Cortex Agent
- Building a Cortex Agent via CoCo
- Assigning tools
- Working with agent instructions
- Interacting with agent
Module 9: Data Landscape & Marketplace
- Snowflake Marketplace overview
- Discovering and mounting shared datasets
- Data sharing concepts
- Lab: Browse Marketplace, mount a dataset, query third-party data, include a Cortex Knowledge Extension to an Agent
Module 10: Capstone Project
- Implement most of the above concepts and build an agent to implement a “Talk to Data” use case.
Speakers
Jit Biswas
Senior Solution Engineer, Snowflake
Brendan Fucci
Account Executive , Snowflake
Andrew Samant
AI/ML Architect, Applied Field Engineering, Snowflake
Register Here