• To offer thorough understanding about Injection Moulding Machine System - Safety, Injection Unit Maintenance, Screw & Barrel Maintenance, Clamping Unit Maintenance, Hydraulic System Maintenance & Electrical System Maintenance.
  • To keep your employees fit for the current Injection Moulding Challenges.
  • To achieve Optimal Utilization of the existing Injection Moulding Machine in your plant..
  • To have Increased Reliability, Productivity and Uptime for your Injection Molding Machine.
  • To prevent Obsolescence & support Personal Growth by Motivation to your employees.

  •  Longer Life of Machinery & Mould.

  •   Knowledgeable, Multi-Skilled & Competent Manpower having Complete Machine Control.

  •  Motivated Employees.

  •  Preventive Maintenance & Enhanced Productivity.

  •  Advanced Troubleshooting Skills.



Supervised learning is the machine learning task of inferring a function from labeled training data. The training data consist of a set of training examples. In supervised learning, each example is a pair consisting of an input object ( typically a vector ) and a desired output value (also called the supervisory signal). A supervised learning algorithm analyzes the training data and produces an inferred function, which can be used for mapping new examples. An optimal scenario will allow for the algorithm to correctly determine the class labels for unseen instances. This requires the learning algorithm to generalize from the training data to unseen situations in a "reasonable" way .

  •  Basics of Molding Machine

  •  Basics of Hydraulics

  •  Inside of Molding Machine



  • Assembly & Testing of Machine.
  • Understanding of Circuits.
  • Identification of M/c Parts & PLC Understanding.