Become a Data, Cloud
or AI Engineer.
Learn SQL, Python, Cloud, DevOps, Data Engineering and Artificial Intelligence through practical training, real-time projects and interview preparation.
Training paths built around real job roles
Build practical capability step by step, from foundations to projects you can discuss in interviews.
Data Analyst
SQL, Excel, Python and Power BI dashboards for business insights.
Explore track →Data Engineer
SQL, Python, Airflow, Spark, Kafka and data pipeline engineering.
Explore track →DevOps Engineer
Linux, Git, Docker, Kubernetes, Jenkins and CI/CD automation.
Explore track →Cloud Engineer
AWS, Microsoft Azure, Google Cloud, networking and architecture.
Explore track →Python Developer
Programming fundamentals, APIs, automation and practical applications.
Explore track →SQL Developer
Querying, joins, subqueries, performance and database problem-solving.
Explore track →Learn the tools used across modern IT teams
Technology-focused learning with an emphasis on implementation, not just theory.
From foundations to industry-ready skills
Follow a practical sequence and connect each new skill to a project.
Projects that connect learning to work
Build and explain practical projects using widely adopted tools and workflows.
Docker & Kubernetes Deployment
Package applications and deploy containerized workloads.
View project ideas →Data Engineering Pipeline
Orchestrate ingestion and transformation with modern data tools.
View project ideas →Devi Vara Prasad Pirla
B.C.A · M.C.A · M.Tech (C.S.E) · P.G.D.C.A · B.A · LL.B
Microsoft Certified Trainer (MCT), Accredited Instructor – AWS re/Start, and former Amazon Authorized Instructor. Industry professional with 20+ years of experience in SQL, Python, Cloud Computing, DevOps, Data Engineering and AI.
- Practical, real-time project training
- Interview preparation and resume guidance
- Structured learning paths from fundamentals onward
- Technology coverage aligned to real project workflows