Snowflake
Snowflake Generative AI Professional Certificate
Snowflake

Snowflake Generative AI Professional Certificate

Design, Build, and Deploy Generative AI Apps. Go from beginner to competent building GenAI apps with Snowflake using leading LLMs.

Snowflake Northstar

Instructor: Snowflake Northstar

Included with Coursera Plus

Earn a career credential that demonstrates your expertise
4.8

(52 reviews)

Beginner level

Recommended experience

Flexible schedule
4 weeks at 10 hours a week
Learn at your own pace
Earn a Certificate
With paid plans
Earn a career credential that demonstrates your expertise
4.8

(52 reviews)

Beginner level

Recommended experience

Flexible schedule
4 weeks at 10 hours a week
Learn at your own pace
Earn a Certificate
With paid plans

What you'll learn

  • How to build applications to implement common AI tasks such as summarization, translation, sentiment analysis, and text classification

  • How to perform prompt engineering and inference programmatically with foundation model families including Llama, Mistral, and Anthropic

  • How to fine-tune a foundation model to distill the capability of a larger model into a smaller one, or to train a model to respond in desired style

  • How to ask questions of your data with natural language using RAG and text-to-SQL

Details to know

Shareable certificate

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Taught in English
Recently updated!

May 2025

35 practice exercises

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  • Receive professional-level training from Snowflake
  • Demonstrate your technical proficiency
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Professional Certificate - 3 course series

What you'll learn

  • Create and manipulate Snowflake's core objects, such as virtual warehouses, databases, schemas, tables, and stages.

  • Use important Snowflake features and objects, such as time travel, cloning, resources monitors, UDFs, stored procedures, and Snowpark DataFrames.

  • Understand the basics of Snowflake’s capabilities for data engineering, generative AI, machine learning, and app development.

Skills you'll gain

Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Data Manipulation, Role-Based Access Control (RBAC), Stored Procedure, Application Development, Machine Learning, Data Science, SQL, Data Storage, Extract, Transform, Load, Data Engineering, Database Management, LLM Application, Data Warehousing, Cloud Development, Data Lakes, and Data Pipelines

What you'll learn

  • How to build applications to implement common AI tasks such as summarization, translation, sentiment analysis, and text classification

  • How to select a foundation model, including how to decide between the smaller or larger model sizes within a model family

  • How to perform prompt engineering and inference programmatically with foundation model families including Llama, Mistral, and Anthropic

  • How to fine-tune a foundation model to distill the capability of a larger model into a smaller one, or to train a model to respond in desired style

Skills you'll gain

Generative AI, Large Language Modeling, Unstructured Data, LLM Application, Application Development, Prompt Engineering, Databases, Natural Language Processing, Application Deployment, and Development Environment

What you'll learn

  • Understand techniques for interacting with data including Text-to-SQL, RAG, and hybrid search—and when to use each

  • How to build a high quality, up-to-date RAG using Cortex Search

  • How to build text-to-SQL applications using Cortex Analyst that answer questions from structured data in natural language

  • How to build a frontend for your RAG and Text to SQL applications using Streamlit

Skills you'll gain

Generative AI, SQL, Unstructured Data, LLM Application, Natural Language Processing, Prompt Engineering, Data Processing, Snowflake Schema, Data Pipelines, Front-End Web Development, Application Programming Interface (API), User Interface (UI), and Application Development

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Instructor

Snowflake Northstar
5 Courses30,334 learners

Offered by

Snowflake

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¹Based on Coursera learner outcome survey responses, United States, 2021.