Best Data Engineering with AI in
Mohali
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.
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4Achievers Mohali 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 Mohali
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 Mohali Students Get Hired
Over 500+ global enterprises and innovative unicorns hire directly from 4Achievers programs.
Frequently Asked Questions (Mohali)
Everything you need to know about fees, batch timings, Career Guidance & Interview Prep, and prerequisites.
Why choose 4Achievers in Mohali for Data Engineering with AI in Mohali?
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 Mohali?
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.