Po ukończeniu tych kursów czuję się pewnie w tworzeniu profesjonalnych wizualizacji i pulpitów nawigacyjnych
Shoebur RahmanSpecjalista ds. zakupów, Giz Bangladesh
Opis kursu
Autonomous AI agents are moving beyond chatbots to take real action on enterprise data. In this course, you'll build production-ready Cortex Agents in Snowflake that answer natural-language questions across structured databases and unstructured documents, then learn to evaluate, optimize, and deploy them using orchestration instructions, observability, and the Model Context Protocol.
Wymagania wstępne
Program nauczania
Plan kursu
1
Foundations of Agentic AI with Snowflake Cortex
In this chapter, learn how AI agents differ from traditional assistants and how they plan, call tools, and reason over enterprise data through real-world use cases.
- Welcome to Building Agentic AI Applications with Snowflake Cortex50 XP
- Understanding AI Agents vs. AI Assistants50 XP
- How Agents Work - Planning & Tool Calling50 XP
- Why Agents Behave the Way They Do50 XP
- How Agents Work - Memory & RAG Integration50 XP
- Enterprise Use Case - B2B Sales Intelligence Assistant50 XP
- Enterprise Use Case - Customer Service Agent for Insurance50 XP
- Agent Demonstration50 XP
- Chapter 1 Summary and What's Next50 XP
- Chapter 1 review - Question 150 XP
- Chapter 1 review - Question 250 XP
- Chapter 1 review - Question 350 XP
- Chapter 1 review - Question 450 XP
- Chapter 1 review - Question 550 XP
2
Building Your First Cortex Agent
In this chapter, learn how to build a complete B2B sales intelligence agent by creating a semantic view, configuring Cortex Search, and wiring both into a working Cortex Agent.
3
Advanced Agent Capabilities
In this final chapter, learn how to deploy your agent with Snowflake Intelligence, shape its behavior with orchestration instructions, monitor and iterate on it, and connect it to clients using the Model Context Protocol.
R
Building AI Agents with Snowflake
Kurs
ukończony
