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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.
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.
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.
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.
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.
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.
Discover how to rapidly build and deploy GenAI applications using Streamlit and Snowflake, transforming ideas into working prototypes in hours instead of weeks.
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.
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.
Master Apache Iceberg from setup to production, covering lakehouse architecture, table optimization, data migration, schema evolution, and maintenance operations using Spark and Trino.
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.
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.
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