Snowflake Courses

Credential

Snowflake Data Engineering

354 ratings at Coursera

Master Snowflake data engineering through hands-on exercises covering data ingestion, transformations, pipeline orchestration, DevOps practices, and observability to build practical skills for real-world projects.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Intro to Snowflake for Devs, Data Scientists, Data Engineers

222 ratings at Coursera

Comprehensive introduction to Snowflake for developers and data professionals, covering core concepts, advanced features, and practical applications in data engineering, AI/ML, and app development.

• Coursera
• 10 hours 37 minutes
• Self-Paced
• Paid Course

Introduction to Modern Data Engineering with Snowflake

142 ratings at Coursera

Learn to build modern data pipelines with Snowflake, covering ingestion, transformation, and delivery. Hands-on practice with SQL, Snowpark, UDFs, tasks, and more for end-to-end pipeline creation.

• Coursera
• 6 hours 2 minutes
• Self-Paced
• Paid Course

Introduction to Generative AI with Snowflake

51 ratings at Coursera

Master generative AI implementation in Snowflake, from basic concepts to advanced fine-tuning of LLM models, with hands-on experience building AI applications and using Cortex functions.

• Coursera
• 4 hours 41 minutes
• Self-Paced
• Paid Course

Advanced Data Engineering with Snowflake

27 ratings at Coursera

Master advanced data engineering with Snowflake by implementing DevOps best practices for data pipelines, including source control, continuous delivery, and observability techniques to monitor pipeline health and performance.

• Coursera
• 4 hours 43 minutes
• Self-Paced
• Paid Course

Building Generative AI Apps to Talk to Your Data

13 ratings at Coursera

Discover how to build conversational AI applications that let users interact with structured and unstructured data using natural language, leveraging Snowflake Cortex for search and analysis capabilities.

• Coursera
• 5 hours 57 minutes
• Self-Paced
• Paid Course

Fast Prototyping of GenAI Apps with Streamlit

10 ratings at Coursera

Discover how to rapidly build and deploy GenAI applications using Streamlit and Snowflake, transforming ideas into working prototypes in hours instead of weeks.

• Coursera
• 9 hours 20 minutes
• Self-Paced
• Paid Course

Building Multimodal Data Pipelines

Master building AI-powered pipelines that process images, audio, and video using ASR, OCR, and Vision Language Models to create multimodal RAG systems for LLM-ready text.

• Coursera
• 2 hours
• Self-Paced
• Paid Course

Building and Evaluating Data Agents

Master multi-agent workflows with LangGraph and Snowflake to create trustworthy data agents that plan, search, retrieve, and evaluate responses with proper goal-plan-action alignment.

• Coursera
• 2 hours 30 minutes
• Self-Paced
• Paid Course

Building AI Agents with Snowflake

Discover how to build autonomous AI agents that query enterprise data, moving beyond basic chatbots to create intelligent systems for business workflows using Snowflake Cortex.

• Coursera
• 4 hours 57 minutes
• Self-Paced
• Paid Course

Apache Iceberg: From Zero to Production Data Lakehouse

Master Apache Iceberg from setup to production, covering lakehouse architecture, table optimization, data migration, schema evolution, and maintenance operations using Spark and Trino.

• Coursera
• 5 hours 45 minutes
• Self-Paced
• Paid Course

Credential

Snowflake Generative AI

Discover how to build AI applications with Snowflake, learning prompt engineering, fine-tuning foundation models, implementing Text-to-SQL, and creating RAG applications for structured and unstructured data.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 3 courses