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Career-Focused Data Engineering & Analytics Training in Silchar

Build Future-Ready Careers in Data Engineering, Analytics, and Cloud Platforms

From first principles to production projects, we train students, fresh graduates, and professionals with practical mentorship and job-oriented pathways.

Industry-Grade Labs

Industry-Grade Labs

Practice with modern data stacks on real-world case studies.

Why Choose Us

Training That Matches Industry Needs

Learn Data Engineering, Data Analytics, and cloud technologies through structured curriculum, practical projects, and personalized mentorship at taretAI in Silchar.

Hands-on projects
Placement-focused grooming
Flexible online/offline batches
1:1 mentorship support

Featured Courses

In-Demand Data & Cloud Programs

Industry tools, guided projects, and beginner-to-advanced pathways. Each course follows a project-first model: roughly 80% hands-on labs and projects, 20% core concepts.

Learning Path

Beginner - Advanced

Start with fundamentals, then move to production-grade projects and interview prep.

Delivery

Online + Offline Hybrid

Flexible batches for students and working professionals with weekend options.

Career Support

Portfolio + Placement Guidance

Resume reviews, mock interviews, and real project storytelling support.

Snowflake

Snowflake Data Engineering

Build modern cloud-native warehouses and optimize analytical pipelines.

Pathway:
Beginner to Advanced
Duration:
12 weeks
dbt

dbt Analytics Engineering

Model trusted data marts, testing frameworks, and transformation workflows.

Pathway:
Beginner to Intermediate
Duration:
8 weeks
Apache Airflow

Apache Airflow Orchestration

Design and schedule production-grade DAGs for robust workflow orchestration.

Pathway:
Intermediate
Duration:
6 weeks
Terraform

Terraform for Data Platforms

Provision scalable cloud infrastructure using reusable infrastructure-as-code modules.

Pathway:
Intermediate
Duration:
6 weeks
Oracle

Oracle Database Mastery

Learn querying, indexing, and administration for enterprise Oracle systems.

Pathway:
Beginner to Advanced
Duration:
8 weeks
Tableau

Data Visualization

Turn raw data into decision-ready dashboards and executive-level visual stories.

Pathway:
Beginner to Intermediate
Duration:
5 weeks
Azure Data Factory

Azure Data Factory Pipelines

Create scalable ETL/ELT pipelines with orchestration, triggers, and monitoring.

Pathway:
Intermediate
Duration:
6 weeks
GitHub

GitHub for Data Teams

Version control, pull requests, CI basics, and team collaboration workflows.

Pathway:
Beginner
Duration:
3 weeks
PostgreSQL

PostgreSQL Engineering

Master SQL tuning, schema design, and robust relational database engineering.

Pathway:
Beginner to Advanced
Duration:
8 weeks
AWS Redshift

AWS Redshift Analytics Warehouse

Design performant cloud data warehouses and optimize analytical workloads.

Pathway:
Intermediate
Duration:
6 weeks
Dremio

Dremio Lakehouse Querying

Accelerate semantic-layer analytics over data lake and lakehouse architectures.

Pathway:
Intermediate
Duration:
4 weeks
Explore all

Many more programs

Additional stacks, bundles, and custom cohorts including new tools as the industry evolves. Ask us about DCA, PGDCS pathways, and add-on modules.

Pathway:
Beginner to Advanced
Talk to us about more courses

Outcomes

Placement-Oriented Learning Outcomes

Portfolio projects, interview readiness, capstone demos, and structured career support.

Ready to Start Your Data Career?

Talk to our mentors and start your journey in Data Engineering and Data Analytics with industry-focused training at taretAI in Silchar.

Contact Us