Who Is This For

Is This Course Right For You?

❄️

Data Engineers

Build robust data pipelines loading into Snowflake with dbt transformations.

📊

Analytics Engineers

Master the analytics engineering discipline with dbt + Snowflake best practices.

🗄️

SQL / ETL Developers

Modernize from legacy ETL to dbt-driven transformation workflows.

☁️

Cloud Data Engineers

Add Snowflake and dbt to your AWS/Azure/GCP data engineering skill set.

🎓

Freshers

The Snowflake+dbt combo is one of the most in-demand modern data stack skills.

🏢

Data Architects

Design cost-efficient Snowflake architectures for enterprise analytics.

Tools Covered

❄️ Snowflake

🛠️ dbt Core

☁️ dbt Cloud

🔄 Airflow + dbt

📊 Cosmos

🔷 SnowPark

🔌 Snowpipe

🗄️ S3 / ADLS / GCS

🔍 Snowflake Marketplace

📋 Data Catalog

🧪 dbt Tests

🔀 CI/CD GitHub Actions

📈 Looker / Metabase

🤖 Cortex AI (Snowflake)

Course Curriculum

8 Modules — Key Concepts

Here are the core topics you'll master. Each module includes hands-on labs with real Snowflake + dbt access.

Module 01

Snowflake Architecture

Virtual Warehouses — compute clusters on demand
Database, Schema, Table hierarchy
Micro-partitioning and automatic clustering
Time Travel — query historical data snapshots
Zero-copy cloning for dev/test environments

Module 02

Snowflake Data Loading

COPY INTO — bulk loading from S3/ADLS/GCS
Snowpipe — continuous auto-ingest from cloud storage
Streams — CDC change tracking on tables
Tasks — scheduled SQL execution
Dynamic Tables — auto-updating materialized views

Module 03

dbt Core — SQL Transformations

dbt models — SELECT statements as transformation units
dbt materializations — table, view, incremental, ephemeral
dbt Ref and Source functions
dbt tests — generic and singular tests
dbt docs — auto-generated data documentation

Module 04

dbt Advanced Patterns

Incremental models — append, merge, delete+insert
Snapshots — SCD Type 2 with dbt
dbt Macros — Jinja templating for reusable SQL
dbt Packages — dbt_utils, audit_helper, codegen
dbt Seeds — load CSV data to warehouse

Module 05

SnowPark & Cortex AI

SnowPark — Python DataFrames on Snowflake
SnowPark ML — train ML models in Snowflake
Cortex AI — LLM functions in SQL (COMPLETE, CLASSIFY)
Snowflake Notebooks — interactive Python on Snowflake
UDFs and Stored Procedures in Python/Java

Module 06

dbt Cloud & CI/CD

dbt Cloud — managed dbt with IDE and scheduler
dbt Cloud jobs — scheduled runs with alerts
GitHub integration — PR checks with dbt CI
dbt Semantic Layer — metrics definitions
DataOps — version control, staging, production environments

M01

Snowflake Architecture & Setup

⏱️ 5 Hours● Beginner

▾

Snowflake Architecture — Cloud Services, Query Processing, Storage

Virtual Warehouses — XS to 6XL, auto-suspend/resume

Databases, schemas, tables — organization

Snowflake editions — Standard, Enterprise, Business Critical

Multi-cluster warehouses — concurrency scaling

Resource Monitors — credit usage alerts

Snowflake web UI and SnowSQL CLI

INFORMATION_SCHEMA and ACCOUNT_USAGE views

🔬 Snowflake Account Setup📝 Quiz: Architecture

M02

Snowflake Data Loading & Ingestion

⏱️ 6 Hours● Intermediate

▾

COPY INTO — load from S3, ADLS, GCS

Internal stages — named, table, user stages

External stages — S3/ADLS/GCS integration

File formats — CSV, JSON, Parquet, ORC, Avro

Snowpipe — serverless auto-ingest

Streams — append, insert, update change tracking

Tasks — serverless scheduled SQL execution

Dynamic Tables — auto-updating data pipelines

🔬 S3→Snowflake Pipeline🔬 Snowpipe Continuous Ingest

M03

Snowflake Advanced Features

⏱️ 6 Hours● Intermediate

▾

Time Travel — AT and BEFORE queries

Zero-copy cloning — databases, schemas, tables

Data Sharing — share data across accounts

Snowflake Marketplace — subscribe to data sets

Fail-Safe — 7-day disaster recovery

Search Optimization — point lookup acceleration

Column-level security — Dynamic Data Masking

Row-level security — Row Access Policies

🔬 Time Travel & Cloning Lab📝 Quiz: Advanced Features

M04

dbt Core — SQL Transformation Layer

⏱️ 8 Hours● Intermediate

▾

dbt project structure — models, seeds, tests, macros

dbt models — SELECT statements as transformation

dbt materializations — table, view, incremental, ephemeral

dbt Ref and Source functions for lineage

Generic tests — not_null, unique, accepted_values, relationships

Singular tests — custom SQL assertions

dbt docs — generate and serve documentation

dbt run, test, docs, seed, snapshot CLI commands

🔬 First dbt Project🔬 Incremental Models Lab🏗️ Project: dbt Data Mart

M05

dbt Advanced Patterns

⏱️ 6 Hours● Advanced

▾

Incremental strategies — append, merge, delete+insert, microbatch

Snapshots — SCD Type 2 with dbt

Jinja & Macros — reusable SQL templates

dbt Packages — dbt_utils, audit_helper, codegen, great_expectations

dbt Seeds — CSV to warehouse

dbt Exposures — document dashboards and reports

Hooks — pre/post model hooks for grants

dbt Variables and environment-specific configs

📝 Quiz: dbt Advanced

M06

SnowPark, Cortex AI & Python UDFs

⏱️ 6 Hours● Advanced

▾

SnowPark Python — DataFrames on Snowflake compute

SnowPark ML — train scikit-learn models on Snowflake

Cortex AI — COMPLETE, CLASSIFY, EXTRACT_ANSWER in SQL

Snowflake Notebooks — Python + SQL mixed workloads

Python UDFs — scalar and table functions

Java UDFs and Stored Procedures

Snowflake Scripting — procedural SQL

Vectorized Python UDFs for batch processing

🔬 SnowPark Python Lab🏗️ Project: Cortex AI Analytics

M07

dbt Cloud, CI/CD & DataOps

⏱️ 7 Hours● Advanced

▾

dbt Cloud — managed dbt IDE and scheduler

dbt Cloud environments — development, staging, production

dbt Cloud Jobs — scheduled and API-triggered runs

GitHub integration — PR-triggered CI checks

dbt Semantic Layer — centralized metric definitions

dbt Explorer — data lineage in dbt Cloud

Slim CI — only run changed models

DataOps practices — version control, testing, documentation

🔬 dbt Cloud CI/CD Setup🏗️ Project: Full Modern Data Stack

M08

End-to-End Projects & Career Prep

⏱️ 6 Hours● Advanced

▾

Project 1 — Batch: S3 → Snowflake → dbt → Looker dashboard

Project 2 — Streaming: Snowpipe + Streams + Tasks auto-pipeline

Project 3 — Analytics Engineering: Full dbt data mart with docs

Project 4 — Modern Stack: Airflow + Snowflake + dbt + Cortex AI

Snowflake SnowPro Core certification prep

dbt Fundamentals certification guide

Resume & LinkedIn for analytics engineering roles

🏗️ 4 Real Projects📝 Certification Prep

Master Snowflake & dbt — Modern Analytics Engineering

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Is This Course Right For You?

8 Modules — Key Concepts

Snowflake + dbt Professionals Earn Top Salaries

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