Azure Data Engineering with AI Training
A practical Azure Data Engineering program focused on building, integrating, transforming, and managing data on Microsoft Azure, with Artificial Intelligence (AI) for intelligent data solutions and automation.
4 Months Duration
Live Online Interactive Training
Expert Trainers with Industry Exposure
Azure Data Engineers Job-Oriented Curriculum
Artificial Intelligence (AI) Exposure
Certificate with Secure Verification
100% Placement Support
Designed for Aspiring Azure Data Engineers
Our training is aligned with nationally recognized skilling initiatives and globally practiced industry methodologies, informed by Skill India, NSDC, NASSCOM FutureSkills, and IBM frameworks.
Tools & Technologies Covered
Microsoft Azure for Cloud Data Engineering & Enterprise Data Solutions
SQL for Data Engineering, Querying & Data Management
Python for Data Engineering, Processing & Automation
Azure Data Factory & Data Lake for Data Integration
Databricks, Apache Spark, Microsoft Fabric & Snowflake for Data Processing
Artificial Intelligence (AI) for Intelligent Data Engineering
Azure Data Engineering with AI
About Course
Build practical expertise with Azure Data Engineering with AI, a career-focused program designed for learners who want to work with modern cloud data platforms and data engineering technologies. Learn SQL, Python, Microsoft Azure, Azure Data Factory, Data Lake, Databricks, Apache Spark, Microsoft Fabric, Snowflake, and Artificial Intelligence (AI) through structured, practical training.
The program focuses on building and managing cloud data pipelines, data processing workflows, transformation, integration, automation, and scalable data solutions using industry-relevant technologies. Learners also work with practical datasets and real-world Data Engineering use cases to develop hands-on experience.
Along with technical training, the program includes project development, portfolio building, resume preparation, mock interviews, career referrals, and interview support. With live online training and weekday and weekend batch options, this program is suitable for freshers, working professionals, students, and career switchers looking to develop job-ready Cloud Data Engineering skills.
Course Curriculum
Azure Cloud & Data Engineering Foundations
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Azure Fundamentals & Cloud Architecture
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Cloud Deployment Models & Azure Service Ecosystem
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Azure Resource Groups, Subscriptions & Resource Hierarchy
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Azure Regions, Availability Zones & Global Infrastructure
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Azure Storage Accounts & Blob Storage
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Azure Data Lake Storage Fundamentals
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SAS, Access Keys & Secure Data Access
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Authentication, Authorization & Identity Management
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Azure Portal & Data Engineering Environment Setup
SQL for Data Engineering
Python for Data Engineering
Azure Data Factory & ETL Engineering
Databricks & PySpark for Data Engineering
Batch vs Real-Time Data Engineering & Streaming
Data Warehousing, Dimensional Modeling & Snowflake
Microsoft Fabric & AI for Data Engineering
Benefits Obtained :
- Course Duration: 4 Months
- Weekend & Weekdays both available
- Artificial Intelligence (AI) – Supported Program
- 125 downloadable resources
- Access on mobile and TV
- 6 coding exercises
- Course Completion Certificate with verification code
- 100% Placement Support
- Lifetime Study Material Access
What Is Azure Data Engineering?
Azure Data Engineering is a professional discipline focused on collecting, integrating, transforming, storing, and managing data using cloud-based data platforms. It helps organizations build reliable and scalable data pipelines and data solutions that support analytics, reporting, business operations, and data-driven decision-making.
Modern data engineering combines technologies such as Microsoft Azure, SQL, Python, Azure Data Factory, Data Lake, Databricks, Apache Spark, Microsoft Fabric, and Snowflake to process data efficiently and create scalable cloud data engineering workflows. Artificial Intelligence (AI) can further support intelligent data processing, automation, and data-driven solutions.
Azure Data Engineering plays a critical role across industries including IT, finance, banking, healthcare, e-commerce, logistics, retail, and technology-driven enterprises where organizations need secure, scalable, and reliable data infrastructure.
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Cloud-Based Data Engineering & Scalable Data Solutions
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Data Integration, Transformation & Pipeline Development
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Industry-Standard Azure Tools, Data Platforms & Workflows
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Real-World Cloud Data Engineering Applications
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Artificial Intelligence (AI) for Intelligent Data Processing & Automation
What Will You Learn in This Course?
This 4-month industry-focused program delivers practical, job-ready expertise in Azure Data Engineering, cloud data platforms, data processing, and Artificial Intelligence (AI) through structured training and real-world project exposure.
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Microsoft Azure Fundamentals for Cloud Data Engineering and Enterprise Data Solutions
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SQL and Python for Data Engineering, Processing, Querying, and Automation
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Azure Data Factory and Data Lake for Data Integration and Pipeline Development
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Databricks, Apache Spark, Microsoft Fabric, and Snowflake for Data Processing
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Cloud Data Pipelines, Transformation Workflows, Data Management, and Optimization
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Artificial Intelligence (AI), Real-World Projects, Industry Case Studies, and Career Preparation
Ready to Build a Career in Azure Data Engineering with AI?
Join our industry-focused Azure Data Engineering with AI Program with live online classes, real-world projects, modern data engineering technologies, and complete placement support.
Course Highlights
Live Online Interactive Training with Expert Data Engineering Trainers
Lifetime Access to Class Recordings, Study Materials & Course Resources
Hands-on Training with Industry-Standard Cloud Data Engineering Technologies
Real Business Datasets, Cloud Workflows & Practical Industry Use Cases
Capstone Project Based on Real-World Data Engineering Requirements
Artificial Intelligence (AI)-Assisted Techniques for Smarter Data Engineering Workflows
ATS-Optimized Resume Building & Industry-Ready Profile Development
Interview Preparation with Mock Interviews, Technical Questions & Expert Feedback
Data Engineering Project Portfolio Creation & Presentation Guidance
Portfolio Optimization for LinkedIn, GitHub, Kaggle & Fiverr
Course Completion Certificate with Inbuilt Verification Code
100% Placement Support
Capstone & Practical Data Engineering Projects
Work on industry-oriented data engineering projects designed around real-world data workflows, cloud platforms, big data processing, data warehousing, and Artificial Intelligence to build practical, job-ready expertise.
01
Cloud Data Integration Pipeline
Build an end-to-end Azure data pipeline using Azure Data Factory, Data Lake, and SQL to ingest, transform, and organize business data.
Azure Data Engineering
02
Retail Sales Data Engineering
Design a scalable workflow for retail sales data covering data ingestion, transformation, validation, and preparation for analytics and reporting.
Business Data Pipeline
03
Customer Data Processing Pipeline
Develop a customer data pipeline using Python, SQL, and cloud data services to process structured datasets and create reliable analytical data.
Python + SQL
04
Big Data Processing with Spark
Process and transform large datasets using Databricks and Apache Spark while applying practical data engineering and transformation techniques.
Spark + Databricks
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Enterprise Data Warehouse Pipeline
Build a structured data workflow integrating SQL, Microsoft Fabric, and Snowflake for centralized storage, transformation, and analytical workloads.
Fabric + Snowflake
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AI-Enabled Data Engineering Capstone
Develop an end-to-end data engineering solution using Artificial Intelligence (AI) to improve data workflows, automation, analysis, and intelligent data processing.
Artificial IntelligenceAzure Data Engineering Market Insights
The growing adoption of cloud platforms, big data, analytics, and artificial intelligence is increasing the demand for professionals who can build, manage, and optimize modern data infrastructure and engineering workflows.
Microsoft Azure continues to play a major role in enterprise cloud data environments, with organizations increasingly adopting services such as Azure Data Factory, Azure Data Lake, Microsoft Fabric, Databricks, and AI-powered solutions for scalable data processing and analytics.
30%+
Projected growth trend for data-focused and technology-driven roles over the coming decade
Cloud + AI
Increasing demand for professionals skilled in cloud data platforms, automation, and intelligent workflows
₹8 – ₹40 LPA
Indicative annual compensation range for skilled data engineering professionals in India
Testimonials
Trusted by Thousand of Students
0
★★★★★ Rated 5 out of 5
Google Reviews
“The Data Science course gave me strong conceptual clarity along with practical exposure. Every topic was explained patiently by the trainers, which made complex concepts easier to understand. The interview guidance and career support helped me feel more confident and prepared while applying for job opportunities.”
★★★★★ Rated 5 out of 5
Mohit Agarwal
“I gained a clear understanding of data visualization, and working with Power BI helped me present insights in a more structured and professional manner.”
★★★★★ Rated 5 out of 5
Himanshi Dixit
“The course had a good balance of core concepts and practical usage, and learning Python in this way made ideas easy to apply. Ghanshyam Sir’s support was always available whenever I needed help.”
★★★★★ Rated 5 out of 5
Prateek
“Choosing this program was a great decision for me. The Data Analyst training was aligned with current industry needs, and the hands-on projects helped me apply concepts to real-world scenarios.”
★★★★★ Rated 5 out of 5
Amit Sharma
“I really enjoyed the Data Science training experience. The course started from the basics and gradually covered modern tools and frameworks. The practical approach helped me understand the concepts clearly”
★★★★★ Rated 5 out of 5
Sonal Jha
“The Excel training helped me build a strong foundation in data handling, reporting, and analysis. The practical exercises made concepts easy to apply in real work. Skillkesari Academy supported me at every step with placement guidance, which helped me secure an MIS role.”
★★★★★ Rated 5 out of 5
Abhay mahajan
Career Support Across Leading Companies
Frequently Asked Questions (FAQ)
What is Azure Data Engineering with AI?
Azure Data Engineering with AI is a career-focused program that teaches cloud-based data engineering using SQL, Python, Azure Data Factory, Data Lake, Databricks, Apache Spark, Microsoft Fabric, Snowflake, and Artificial Intelligence (AI).
What is the duration of the Azure Data Engineering with AI course?
The course duration is 4 months, with structured live training covering cloud data engineering, modern data platforms, and AI-enabled workflows.
Are both weekday and weekend batches available?
Yes. Both weekday and weekend batch options are available, allowing learners to choose a schedule that fits their availability.
Who can join this course?
The course is suitable for freshers, working professionals, students, and career switchers who want to build a career in Cloud Data Engineering.
Do I need prior Azure or Data Engineering experience?
No. The program is structured to build concepts from the fundamentals and gradually move toward practical cloud data engineering workflows and projects.
Which technologies are covered in the course?
The course covers SQL, Python, Microsoft Azure, Azure Data Factory, Data Lake, Databricks, Apache Spark, Microsoft Fabric, Snowflake, and AI for Data Engineering.
Will I learn SQL and Python for Data Engineering?
Yes. SQL and Python are covered for data querying, processing, transformation, automation, and building practical data engineering workflows.
Will the course include Azure Data Factory and Data Lake?
Yes. You will learn how Azure Data Factory and Data Lake are used for data ingestion, integration, storage, and building cloud-based data pipelines.
Will Databricks and Apache Spark be included?
Yes. The program includes Databricks and Apache Spark for processing and transforming large-scale datasets.
Will Microsoft Fabric and Snowflake be covered?
Yes. Microsoft Fabric and Snowflake are included to provide exposure to modern data platforms, data warehousing, transformation, and analytical workloads.
How is AI used in Data Engineering?
The course introduces Artificial Intelligence (AI) for smarter data workflows, automation, productivity, intelligent processing, and improving data engineering tasks.
Will I work on practical projects?
Yes. The program includes real-world business datasets, practical use cases, and end-to-end Data Engineering projects designed to build job-ready experience.
Will I receive class recordings and study materials?
Yes. Learners receive access to class recordings, study materials, and other course resources as provided with the program.
Is placement and interview support available?
Yes. The program includes placement support, including resume preparation, portfolio building, mock interviews, career referrals, and interview support to help learners prepare for Data Engineering opportunities.
Will I receive a certificate after completing the course?
Yes. Learners receive a course completion certificate with an inbuilt verification code, which can be verified anytime, from anywhere, through the certification verification page on our website.
Limited Seats Available for This Batch
Admissions are open for a limited number of learners to ensure personalized attention during live online sessions. Secure your seat now and start your Azure Data Engineering with AI journey.
Apply Now