Edureka

AI-Powered Data Engineering with Snowflake

Edureka

AI-Powered Data Engineering with Snowflake

Edureka

Instructor: Edureka

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Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

7 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

7 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Explain AI-powered data engineering concepts, Snowflake architecture, and the role of generative AI in modern data platforms.

  • Build intelligent data pipelines using Snowflake with AI-assisted ingestion, transformation, and data quality workflows.

  • Implement semantic search, embeddings, and RAG to enable trusted natural language access to enterprise data.

  • Deploy production-ready AI data pipelines with monitoring, governance, orchestration, and enterprise best practices.

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Recently updated!

July 2026

Assessments

8 assignments

Taught in English

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There are 4 modules in this course

Discover the foundations of AI-enhanced data engineering, Snowflake, and Generative AI-driven workflows. Explore basic data pipelines, natural language interactions, AI-assisted profiling, and responsible AI practices. Develop the knowledge needed to create intelligent, reliable, and scalable data engineering solutions.

What's included

9 videos4 readings2 assignments

Apply AI-assisted techniques to build reliable ingestion workflows and prepare trusted multi-source data. Explore schema mapping, layered storage, transformation, quality checks, and automated documentation. Create accurate, scalable, and AI-ready Bronze, Silver, and Gold data pipelines.

What's included

8 videos3 readings2 assignments

Analyze intelligent data access using Generative AI, embeddings, semantic search, and RAG. Combine structured and unstructured data through trusted retrieval and natural language analytics. Build AI-powered solutions that deliver accurate, relevant, and context-aware insights.

What's included

7 videos3 readings2 assignments

Create production-ready AI-enhanced data workflows using orchestration, governance, monitoring, and evaluation. Strengthen operational resilience through access control, error handling, automation, and AI output validation. Deploy secure, scalable, and trustworthy data engineering solutions for enterprise environments.

What's included

6 videos4 readings2 assignments

Instructor

Edureka
Edureka
230 Courses203,740 learners

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Edureka

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