Whistleblower Awareness
Understand whistleblower rights, reporting channels, and how to raise concerns safely and confidentially within your organisation.
Personal Protection Equipment (PPE)
Learn to select, use, inspect, and maintain the correct PPE for your workplace — from hard hats and gloves to respiratory protection.
Lockout / Tagout (LOTO)
Master LOTO procedures to control hazardous energy during equipment maintenance — preventing unexpected startups and serious injury.
Electrical Safety Awareness
Core electrical safety principles covering shock prevention, safe working distances, arc flash risks, and permit-to-work systems.
Defensive Driving Awareness
Develop safe driving habits, hazard perception skills, and fleet road safety awareness to reduce accidents and protect lives on the road.
Driving - LSR AV
English version
Driving - LSR AV
Hindi version
Safe Driving Game link
Game
Basic First Aid
Practical first aid skills including CPR, wound care, burns treatment, and emergency response — designed for all workplace environments.
ESG Integration & Sustainability
Explore Environmental, Social & Governance frameworks, sustainability reporting, and how to embed ESG principles into daily business operations.
33KV Line Process & Unit Substation (USS)
In-depth training on 33KV line operations, unit substation processes, switching procedures, and safe operational protocols for electrical networks.
Computer Networking Part 1
Foundational networking concepts covering topologies, protocols, IP addressing, and the building blocks of modern computer networks.
Computer Networking Part 2
Advanced networking topics including routing, switching, network security basics, and troubleshooting techniques.
Artificial Intelligence
An introduction to artificial intelligence concepts, applications, and how AI is transforming industries and everyday work.
Introduction to Python Language
Get started with Python programming — syntax, data types, control structures, and writing your first scripts.
Machine Learning Part 1
Core machine learning concepts including supervised and unsupervised learning, model training, and key algorithms.
Machine Learning Part 2
Building on ML fundamentals with model evaluation, tuning, and practical applications of machine learning techniques.
Data Analytics Part 1
Foundational data analytics concepts covering data collection, cleaning, and exploratory analysis techniques.
Data Analytics Part 2
Advanced data analytics topics including visualization, statistical analysis, and data-driven decision making.