Skills Ai
Master Azure, ADF, ADLS Gen2, SQL, Python, PySpark, Databricks, Delta Lake, Synapse Analytics and Microsoft Fabric with expert mentorship and industry-level project training.
Practical training for freshers and working professionals who want to move into Azure Data Engineering roles with strong hands-on confidence.
Celebrating Skills Ai learners who turned focused preparation into new career opportunities.
TCS
With structured learning, hands-on practice and interview preparation, Srihitha successfully moved forward in her data engineering career with TCS.
iThink Digital
Deeptomer strengthened practical Azure Data Engineering skills and interview confidence, leading to an opportunity with iThink Digital.
Real feedback from students after attending Azure Data Engineering training sessions.
Appreciated clear explanations, graphical teaching style, summaries and hands-on assignments.
Highlighted patience, real-time work experience, homework, interview questions and support for non-coders.
Shared appreciation for calm, structured teaching, repeated doubt clarification and practical Azure explanations.
Thanked the bootcamp sessions for making topics clear, engaging and helpful for subject understanding.
Shared how structured teaching helped her move from a design background into data engineering confidence.
Students highlighted consistent support, project progress follow-ups, clarity and confidence-building guidance.
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Designed from basics to advanced implementation with real-time examples.
Portal, resource groups, storage account, ADLS Gen2, RBAC and IAM.
Pipelines, Copy Activity, Data Flow, parameters, expressions, Key Vault and monitoring.
SQL joins, window functions, Python basics, loops, functions and file handling.
Spark architecture, DAG, jobs, stages, tasks, transformations, actions, caching and joins.
Clusters, notebooks, Spark DataFrames, ADLS mounting and bronze-silver-gold architecture.
ACID transactions, MERGE, UPDATE, DELETE, time travel, OPTIMIZE, Z-Ordering and CDF.
Dedicated SQL Pool, Serverless concepts, Spark, Warehouse, fact/dimension tables and SCD.
OneLake, Lakehouse, Warehouse, pipelines, notebooks and end-to-end Fabric solution.
Regular mock interviews and scenario-based sessions after classes are over.
Build practical projects that can be explained confidently in interviews.
ADF pipeline creation with expressions, parameters and Azure Key Vault integration.
Industry-level project on Databricks using Spark including ADF orchestration.
End-to-end project on Synapse including Spark and Warehouse concepts.
Project on Fabric covering Lakehouse, pipelines, notebooks and reporting-ready data.
Students from our training community target opportunities across leading IT, product and consulting companies.
13+ years of experience in training and industry. Currently working as an Azure Data Architect with deep expertise in Azure Data Engineering, Databricks, Spark, Synapse, Delta Lake and Microsoft Fabric.
See the teaching style, real-time explanation and practical Azure Data Engineering approach before joining.
Watch an additional live class recording and understand how concepts are explained with practical examples.
Start learning now and pay the remaining part after placement.
Reach out directly on WhatsApp or call, and the Skills Ai team will help you get started.
Duration: 9 Weeks
Projects: 4 End-to-End Industry Projects
Mode: Live Online Training
Focus: Job Focused + Industry Level Projects
Contact: +91 8107994166