Snowflake
Snowflake Generative AI Professional Certificate
Top instructor
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.

Included with Coursera Plus

Earn a career credential that demonstrates your expertise

(26 reviews)

Beginner level

Recommended experience

Flexible schedule
1 month at 10 hours a week
Earn a career credential
Share your expertise with employers
Earn a career credential that demonstrates your expertise

(26 reviews)

Beginner level

Recommended experience

Flexible schedule
1 month at 10 hours a week
Earn a career credential
Share your expertise with employers

Overview

  • 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

What’s included

Shareable certificate

Add to your LinkedIn profile

Taught in English
Recently updated!

May 2025

35 practice exercises

Advance your career with in-demand skills

  • Receive professional-level training from Snowflake
  • Demonstrate your technical proficiency
  • Earn an employer-recognized certificate from Snowflake

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

Category: Generative AI
Category: Application Development
Category: Snowflake Schema
Category: Data Manipulation
Category: Stored Procedure
Category: Role-Based Access Control (RBAC)
Category: Large Language Modeling
Category: Data Access
Category: Machine Learning
Category: Cloud Development
Category: Database Management
Category: Extract, Transform, Load
Category: SQL
Category: Cloud Applications
Category: Data Pipelines
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Data Warehousing
Category: Data Science
Category: Data Engineering
Category: Data Infrastructure

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

Category: Generative AI
Category: Large Language Modeling
Category: Unstructured Data
Category: Application Development
Category: Prompt Engineering
Category: Performance Tuning
Category: Snowflake Schema
Category: Applied Machine Learning
Category: Natural Language Processing

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

Category: Generative AI
Category: SQL
Category: Unstructured Data
Category: Natural Language Processing
Category: Application Development
Category: Query Languages
Category: Data Pipelines
Category: Database Application
Category: User Interface (UI)
Category: Artificial Intelligence
Category: Front-End Web Development

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Snowflake Northstar

Top Instructor

Snowflake
5 Courses24,820 learners

Offered by

Snowflake

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Frequently asked questions

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