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Snowflake
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Data Engineering
ETL pipelines, data modeling, warehouse design, dbt workflows and modern data stack best practices.
Generative AI
LLMs, RAG pipelines, LangChain, AI Agents, prompt engineering and real-world AI application development.
Azure Data Engineering
Azure Data Factory, Synapse Analytics, Databricks, Azure Data Lake and end-to-end cloud data solutions.
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Learning Path to Career Ready
Follow this structured learning journey — from complete beginner to landing your dream data engineering or AI role.
Start with SQL basics, Python fundamentals, and understand what cloud data engineering is.
Weeks 1–2Learn Snowflake architecture, data loading, dbt transformations and Azure Data Factory pipelines.
Weeks 3–5Master performance tuning, Streams & Tasks, real-time analytics, Generative AI and end-to-end projects.
Weeks 6–8Resume ready, interview-prepped, project portfolio built — land your role at a top MNC.
Week 9+Want Hands-On Training?
Reading is great — but structured, instructor-led training with real projects and placement support takes you further, faster.
Snowflake + dbt Course
Build modern cloud data pipelines with Snowflake and dbt. Hands-on labs, real projects, and 100% placement assistance with 16+ years expert trainer.
Azure Data Engineering
Master Azure Data Factory, Synapse Analytics and Databricks. Enterprise-grade cloud data engineering training with real-world projects and placement support.
Data Science + Gen AI
4-month deep-dive into Python, Machine Learning, Deep Learning, LLMs, RAG and AI Agents — the most in-demand AI skills for 2026 and beyond.
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