Generative & Agentic AI
Cloud Computing
Data Science & Analytics
Programming
Databases
Frontend UI Development
Network & OS
AS400
CICD & Devops
Data Engineering
Data Visualization
Data warehousing, ETL & BI
IOT & RPA
Mainframe
Mobility
Oracle
Salesforce
SAP
Testing & QA
VLSI
Web & Mobile Development
Wintel
Identity and Access Management (IDAM) & Infrastructure Security

TSE LEGACY

In a world where technology never stands still, neither do we. For the past 15 years, we
have continuously adapted, upgraded, and innovated to ensure our corporate
training remains relevant, impactful, and industry-leading.

How We Stay Ahead

Evolving with Technology

As new technologies emerge, we revamp our training to match industry demands - be it Cloud, AI, DevOps, Cybersecurity, or Data Science.

Agile Training Methodologies

Our customized, hands-on approach ensures enterprises get training that aligns with real-world applications and business goals.

Trainer Excellence

With 2,000+ expert trainers worldwide, we stay ahead by investing in our trainers, keeping them updated and ready to deliver the best.

Enterprise-Centric Learning

Whether it's freshers, mid-level, or senior professionals, we provide tailored programs to upskill workforces effectively.

How We Do It

1

Analyze

We analyze the training needs before formulating solutions that optimally address the gaps.

  • Training need analysis
  • Training gap analysis
  • Target audience analysis

2

Create

Learning solutions are created keeping in mind the training requirement - and the desired learning outcome.

  • Training need analysis
  • Training gap analysis
  • Target audience analysis

3

Deploy

Learning is most effective when it meets learner expectations. We create learning specifically designed to engage learners, based on their profiling.

  • Technical aspects
  • Infrastructure
  • Milestones & process

TSE Work Flow

  • Need Identification
  • Initial Response and Scoping (Business Need, Timelines, Workforce)
  • Technical Scoping (Business Need, Learning Expectations, Technology)
  • Spec Finalization (Mentor Fit, Content Finalization, Delivery Model, Customization)
  • Quality (Model, Sla & Governance, Training Effectiveness, Learning Objective)
  • Ecosystem (Logistics, Infrastructure, Delivery Tools)
  • Technology (Hardware, Software, Setup)
  • Trainer (Fitment to Ojectives, In-Class, Participant Engagement, Effectiveness)
  • In-Session (Learning Objective Compatibility, Engagement Effectiveness, Agility)
  • Post Session (Effectiveness Measures, Assessments, Tools, Post Service Communication)