×
AI Skills Lab | AI & Generative AI Courses with Placement Assistance
×
Book a Free Career Session with our Expert
Book a Session →
Best Seller Program

Azure DevOps &
Data Engineering

Master Azure Cloud, DevOps & CI/CD Pipelines, Terraform, Docker & Kubernetes, SQL, Azure Data Factory, Databricks & PySpark

Live Online

Interactive Classes

4 Months

Program Duration

Career Support

Placement Oriented

Beginner Friendly

Open For All Graduates

Meet Our Placed Learners
From Learning to Landing Jobs

Mayank Singhal

★★★★★

"The program gave me real hands-on skills in Azure, Terraform and Kubernetes. I gained confidence provisioning cloud infrastructure and automating deployments. Today I work as a DevOps Engineer managing production infrastructure with full confidence."

Works in

Neeraj

★★★★★

"The Databricks and PySpark modules were outstanding. I learned building ETL pipelines, transforming large datasets and managing Delta Lake tables. Mentors helped me transition from a non-technical background into a Data Engineer role."

Works in

Rajendra Mishra

★★★★★

"Joining AI Skills Lab for Azure DevOps & Data Engineering was the best decision of my career. Coming from a non-cloud background, the structured labs on ADF and CI/CD made everything practical. I'm now working as a Cloud Data Engineer at Deloitte."

Works in

Vineeta Sharma

★★★★★

"Enrolling in AI Skills Lab for Azure DevOps & Data Engineering completely transformed my career path. I started with basic SQL knowledge but the course structure made everything easy. Today I'm successfully working as an Azure DevOps Engineer."

Works in

Ankit Agarwal

★★★★★

"The Jenkins and Azure Pipelines modules were game changers. I learned CI/CD automation, secrets management and pipeline monitoring. Today I work as a Site Reliability Engineer and feel completely industry-ready."

Works in

Saanvi Shergill

★★★★★

"Thanks to AI Skills Lab, I now work as a Cloud Data Associate. The hands-on labs with Terraform, Docker and Databricks gave me actual industry-level experience. Highly recommended for anyone wanting a cloud & data career."

Works in

Janvi Sharma

★★★★★

"I started as a fresher with no cloud background. The program covered everything from Azure fundamentals to real-time streaming with Event Hubs. Today I work as a Junior Data Engineer handling production pipelines. Thankyou so much AISkillslab."

Works in

Harsh Kumar

★★★★★

"SQL and Azure Data Factory modules were extremely practical. I learned building automated ETL pipelines and data lake architecture through hands-on labs. Today I confidently work as a Data Engineer."

Works in

Harshit Mishra

★★★★★

"The CI/CD and Jenkins module was outstanding. Learning pipeline automation and deployment strategies helped me land my job. AI Skills Lab's placement support made the entire job search process smooth."

Works in

Khushi Juneja

★★★★★

"I began as a fresher with interest in cloud computing but little practical exposure. The program gave me real Azure, Terraform and Kubernetes skills. Today I confidently work as a Cloud Associate."

Works in

What Makes This Program Special

Cloud & DevOps Mastery

Master Azure infrastructure, Terraform, Docker and Kubernetes used by real cloud engineering teams.

Real-Time Data Engineering

Build automated ETL pipelines and work with Databricks, PySpark and Delta Lake for large-scale data processing.

1-on-1 Mentorship

Get personalized guidance from experienced cloud, DevOps and data engineering industry professionals.

100% Job Placement Program

Structured placement support with resume building and interview preparation.

42 LPA

Highest Package

100%

Average Salary Hike

500+

Hiring Companies

Azure DevOps & Data Engineering Program Curriculum

  • Module 1Azure & Data Fundamentals
  • Module 2DevOps, Git & Azure DevOps
  • Module 3Terraform, Docker & Kubernetes
  • Module 4SQL & Azure Data Lake
  • Module 5Azure Data Factory
  • Module 6Databricks & PySpark
  • Module 7CI/CD, Jenkins & Monitoring
  • Module 8Real-Time Data & Capstone

Module 1 – Azure & Data Engineering Fundamentals

What You'll Learn
  • Cloud & Azure Fundamentals
  • Azure Portal & CLI
  • Resource Groups & Storage
  • Azure Storage & ADLS Gen2
  • Entra ID & RBAC
  • ETL vs ELT
  • Data Lake & Data Warehouse
  • Batch vs Streaming
  • Basic Data Architecture
  • Hands-on Azure Lab Setup
Industry Project: Azure Data Lake Setup

Module 2 – DevOps Fundamentals, Git, GitHub & Azure DevOps

What You'll Learn
  • DevOps Lifecycle & Culture
  • Agile & Scrum
  • Kanban
  • CI/CD Fundamentals
  • Jira & Agile Project Management
  • Git & GitHub Basics
  • Branching & Pull Requests
  • Code Review
  • Azure Boards & Repos
  • Azure Pipelines & CI/CD Introduction
Industry Project: Agile DevOps Team Collaboration Project

Module 3 – Terraform, Docker & Kubernetes

What You'll Learn
  • IaC Fundamentals (Terraform)
  • Terraform Plan/Apply & State
  • Docker Fundamentals
  • Dockerfile & Images
  • Docker Compose
  • Docker Registry & ACR
  • Kubernetes Fundamentals
  • Pods & Deployments
  • Services & ConfigMaps
  • Application Deployment on AKS
Industry Project: Azure Infrastructure using Terraform & Containerized App Deployment on Docker/Kubernetes

Module 4 – SQL & Azure Data Lake

What You'll Learn
  • SQL Queries & Joins
  • Aggregations & Subqueries
  • CTE & Window Functions
  • Views & Stored Procedures
  • Query Optimization
  • Data Modeling
  • Fact & Dimension Tables
  • Star Schema
  • ADLS Gen2 Architecture
  • Data Organization & RBAC
Industry Project: Enterprise Sales Data Lake

Module 5 – Azure Data Factory

What You'll Learn
  • ADF Architecture
  • Linked Services & Datasets
  • Pipelines & Activities
  • Copy Activity
  • Integration Runtime
  • Triggers & Incremental Loading
  • ForEach & Lookup
  • Error Handling & Retry Logic
  • Monitoring
  • ADF + Git CI/CD Integration
Industry Project: Automated ETL Pipeline

Module 6 – Databricks, PySpark & Delta Lake

What You'll Learn
  • Databricks Workspace & Notebooks
  • Clusters & Jobs
  • Spark Fundamentals
  • DataFrames & Schemas
  • Transformations & Joins
  • Window Functions
  • Delta Tables
  • ACID Transactions & MERGE
  • Schema Evolution & Time Travel
  • Lakehouse Architecture (Bronze-Silver-Gold)
Industry Project: E-Commerce Lakehouse

Module 7 – DevOps CI/CD, Jenkins, Security & Monitoring

What You'll Learn
  • CI/CD Pipeline & YAML
  • Build & Release Stages
  • Jenkins Fundamentals
  • Jenkinsfile & Pipeline Projects
  • Docker Integration
  • Azure Pipelines & Release Management
  • RBAC & Managed Identity
  • Key Vault & Secrets Management
  • Azure Monitor & Log Analytics
  • Alerts & Application Monitoring
Industry Project: End-to-End CI/CD Pipeline

Module 8 – Real-Time Data & Industry Capstone

What You'll Learn
  • Streaming Fundamentals
  • Azure Event Hubs
  • Producers & Consumers
  • Partitions & Consumer Groups
  • Spark Structured Streaming
  • Checkpointing
  • Streaming to Delta Lake
  • End-to-End Platform Integration
  • DevOps + Infrastructure Integration
  • Final Capstone Presentation
Capstone: Enterprise Azure DevOps & Data Engineering Platform (Real-Time Data Pipeline + Final Industry Capstone)

Industry Tools You'll Master

Azure
Terraform
Docker
Kubernetes
Jenkins
Git
GitHub
Jira
SQL / Azure SQL
Databricks
PySpark
Python
VS Code
Azure
Azure DevOps
Terraform
Docker
Kubernetes
Jenkins
Git
GitHub
Jira
SQL / Azure SQL
Databricks
PySpark
Python
VS Code

Work on real industry cloud & data projects
build practical Azure DevOps & Data Engineering skills

#1

Azure Data Lake Setup

Set up an enterprise Azure Data Lake using ADLS Gen2, resource groups, storage accounts and RBAC for scalable, secure cloud storage.

AzureADLS Gen2RBAC
#2

Agile DevOps Team Collaboration

Simulate real sprint cycles using Jira, Git and Azure DevOps boards — connecting user stories to pull requests, code review and CI/CD pipelines.

JiraGitAzure DevOps
#3

Azure Infrastructure using Terraform

Provision complete Azure infrastructure using Terraform providers, variables, modules and state management for repeatable, version-controlled deployments.

TerraformIaCAzure
#4

Containerized App on Docker & Kubernetes

Build, containerize and deploy a full application using Docker, push images to Azure Container Registry and orchestrate deployment with Kubernetes on AKS.

DockerKubernetesAKS
#5

Automated ETL Pipeline with ADF

Design an automated data pipeline using Azure Data Factory to ingest, transform and load data from APIs, SQL and files into ADLS Gen2.

Azure Data FactoryETLADLS
#6

E-Commerce Databricks Lakehouse

Build a Bronze-Silver-Gold Lakehouse architecture using Azure Databricks, PySpark and Delta Lake to process real e-commerce sales data at scale.

DatabricksPySparkDelta Lake

Get Certified

Industry Recognized Certification

Earn an AI Skills Lab Azure DevOps & Data Engineering certification backed by hands-on cloud infrastructure and data pipeline projects, recognized by industry standards.

  • Hands-on Cloud Infrastructure & Data Engineering Projects
  • LinkedIn Profile Optimization
  • Resume Creation as per Market Demand
  • Interview Referrals from Partner Companies

Get placed at

+500 more

Our Proven 3-Step Path
to Your Cloud & Data Engineering Career

Career Profile Building

  • ATS-friendly resume for Azure DevOps & Data Engineering roles
  • Optimized LinkedIn profile for recruiter visibility
  • GitHub portfolio with real cloud & data projects

Mentor-Driven Referrals

  • Direct referrals through mentor & alumni network
  • Access to hidden cloud & data engineering job openings
  • Guidance from experienced industry professionals

Company Hiring Tie-Ups

  • Connections with 500+ hiring companies
  • Real interview opportunities shared with learners
  • Mock technical interviews & HR preparation

Media Coverage

AI Skills Lab In Spotlight

As Artificial Intelligence (AI) continues to reshape industries worldwide, the demand for highly skilled professionals has grown exponentially. AI Skills Lab, established in 2023, was founded with the mission of equipping Indian students and professionals with industry-relevant AI skills that lead to real career opportunities.

AI Skills Lab Preparing India's Workforce

In a rapidly evolving digital economy, traditional education often struggles to keep pace with technological advancement. AI Skills Lab bridges this gap through structured, application-focused training programs designed for modern AI-powered workplaces.

Frequently Asked Questions

  • General Questions
  • Program & Curriculum
  • Career Support
  • Fees & Payments
What is the AI Skills Lab Azure DevOps & Data Engineering Program?
It is a 4-month (16-week) job-focused training program covering Azure Cloud, DevOps (Git, Jenkins, Azure DevOps), Terraform, Docker, Kubernetes, SQL, Azure Data Factory, Databricks, PySpark, Delta Lake and 10 real industry projects designed to make you job-ready.
Who is this program for?
This program is ideal for students, working professionals, IT graduates and career switchers who want to enter cloud engineering, DevOps or data engineering roles — no prior cloud experience required.
AI Skills Lab

Join AI Skills Lab
Get Hired in Azure DevOps & Data Engineering

Build a cloud-first career with AI Skills Lab mentorship, real-world DevOps & data engineering labs and career pathways into top companies.

Get hired with skills trusted by leading companies
About Us
×
×

100% Job Placement Program

Get placed at your dream company
🔥 Limited seats for upcoming batch
100%Salary Hike
500+Hiring Partners
5000+Students Trained