Best Data Engineering with AI in
Delhi NCR
Accelerate your engineering career with 1-on-1 Mentorship & Dedicated Support, high-tech offline laboratory training, 100+ Hours+ hours of intensive live projects, and 1-on-1 mentorship from top architects.
Book Free Demo Class
Speak directly with our senior technical career advisors in Delhi NCR.
4Achievers Delhi NCR Tech Campus
Experience focused, mentor-led offline learning equipped with state-of-the-art workstations, high-speed internet, dedicated faculty doubt counters, and air-conditioned classrooms.
Data Engineering with AI Syllabus in Delhi NCR
Curriculum co-designed with engineering leads from tier-1 MNCs. Click each module below to view detailed topics, live coding projects, and industry tools.
01
Advanced SQL, Dimensional Modeling & Lakehouse Architecture
16 Hours
Advanced SQL, Dimensional Modeling & Lakehouse Architecture
Master modern data modeling, dimensional schemas, Medallion Architecture, and advanced SQL analytical queries.
Core Technical Topics & Competencies Covered:
- ✔Advanced SQL: Window Functions, CTEs, Recursive Queries & Query Execution Plans
- ✔Dimensional Modeling: Star Schemas, Snowflake Schemas, Fact vs Dimension Tables
- ✔Slowly Changing Dimensions (SCD Type 1, Type 2, Type 3)
- ✔Data Lake vs Data Warehouse vs Data Lakehouse Paradigms
- ✔The Medallion Architecture: Bronze (Raw), Silver (Cleaned), Gold (Aggregated Business Data)
02
Big Data Processing with Apache Spark & PySpark
20 Hours
Big Data Processing with Apache Spark & PySpark
Scale data transformations across distributed clusters using PySpark and understand low-level execution internals.
Core Technical Topics & Competencies Covered:
- ✔Spark Architecture: Driver, Executors, Cluster Managers, RDDs vs DataFrames
- ✔PySpark DataFrame API: Transformations, Actions, Filtering, Aggregations & Joins
- ✔Spark Optimization: Catalyst Optimizer, Tungsten Execution Engine & Adaptive Query Execution (AQE)
- ✔Partitioning Strategies, Bucketing & Eliminating Data Skew & Shuffling
- ✔Spark Structured Streaming: Processing Live Event Streams with Watermarking
03
Databricks Delta Lake & Snowflake Cloud Lakehouse
20 Hours
Databricks Delta Lake & Snowflake Cloud Lakehouse
Build enterprise production lakehouses using Databricks Delta Lake and Snowflake cloud warehousing.
Core Technical Topics & Competencies Covered:
- ✔Delta Lake ACID Transactions: Time Travel, Schema Enforcement & Schema Evolution
- ✔OPTIMIZE, Z-Ordering & Compaction for Sub-Second Delta Query Performance
- ✔Databricks Unity Catalog: Centralized Governance, Access Control & Data Lineage
- ✔Snowflake Architecture: Storage vs Compute decoupling, Virtual Warehouses & Micro-partitions
- ✔Snowflake Features: Snowpipe Continuous Ingestion, Streams & Tasks, Zero-Copy Cloning
04
Data Transformation & CI/CD with dbt (Data Build Tool)
16 Hours
Data Transformation & CI/CD with dbt (Data Build Tool)
Treat data transformations as modern software engineering code with modular SQL, automated testing, and CI/CD.
Core Technical Topics & Competencies Covered:
- ✔Why dbt: Modularity, Version Control, Automated Documentation & Lineage DAGs
- ✔dbt Models: Views, Tables, Incremental Models & Ephemeral CTEs
- ✔Jinja Templating, Macros and Packages (dbt-utils, dbt-expectations)
- ✔Data Quality Testing: Generic Tests, Custom Singular Tests, Freshness Checks
- ✔dbt Docs Generation and Deploying dbt Workflows in CI/CD
05
Event-Driven Streaming with Apache Kafka & Orchestration with Airflow
16 Hours
Event-Driven Streaming with Apache Kafka & Orchestration with Airflow
Capture real-time event streams and orchestrate resilient multi-dependency data pipelines.
Core Technical Topics & Competencies Covered:
- ✔Apache Kafka Architecture: Topics, Partitions, Producers, Consumers & Consumer Groups
- ✔Schema Registry & Avro Serialization for Resilient Event Ingestion
- ✔Kafka Connect: Sourcing Data from RDBMS (CDC with Debezium) into S3/Lakehouse
- ✔Apache Airflow Fundamentals: DAGs, Operators, Sensors, Hooks, XComs
- ✔Scheduling, Retries, SLAs, and Production Airflow Deployment with Docker
06
AI-Augmented Data Pipelines & Vector Data Ingestion
12 Hours
AI-Augmented Data Pipelines & Vector Data Ingestion
Integrate LLMs into ETL pipelines for automated data cleaning, classification, and vector database ingestion.
Core Technical Topics & Competencies Covered:
- ✔AI in ETL: Using LLMs for Entity Resolution, Data Cleansing & Complex Schema Inference
- ✔Vector Lakehouse Pipelines: Automatically Chunking, Embedding & Ingesting Data into Vector Stores
- ✔Snowflake Cortex & Databricks AI Functions for In-Database Generative AI
- ✔Data Quality Monitoring with Great Expectations & Soda Core
- ✔Career Preparation: Technical Architecture System Design Interviews for Big Data & AI Engineers
Where Our Delhi NCR Students Get Hired
Over 500+ global enterprises and innovative unicorns hire directly from 4Achievers programs.
Frequently Asked Questions (Delhi NCR)
Everything you need to know about fees, batch timings, Career Guidance & Interview Prep, and prerequisites.
Why choose 4Achievers in Delhi NCR for Data Engineering with AI in Delhi NCR?
4Achievers provides 1-on-1 Mentorship & Dedicated Support, dedicated offline labs with high-speed development machines, real-world live projects, and personal 1-on-1 mentor guidance from working senior engineers.
What is the course duration and batch schedule?
The program spans 14 Weeks with both weekday regular batches (Mon-Fri) and weekend tracks (Sat-Sun) specifically designed for working professionals and university students.
Is there 1-on-1 Mentorship & Dedicated Support provided in Delhi NCR?
Yes! Our dedicated Corporate Career Mentorship Team coordinates guaranteed interview drives, resume redesign workshops, and mock technical grilling until you secure your desired job offer.