Why Training Matters

From healthcare to banking, new technologies are ramping up productivity and efficiency, yet digital tools aren’t enough.
By investing in res-killing strategies that combine a strengthened talent pipeline, intelligent technologies, and an angile culture and leadership, companies can expect:



Revenue boost by 38% by 2022; equivalent to US$7.5 billion for the average S&P 500 company; potential lift as high as 50% in the consumer goods and health sectors



Global profit expansion by a total of US$4.8 trillion in the next 4 years; equivalent to US$880 million fot the average S&P 500 company



Employment increase by 10% equivalent to 5,000 jobs for the average S&P 500 company


Learning experiences

We design learning experiences that treat learners like customers attracting & engaging them cross multiple channels & moments , with personalizing learning journeys.

High Engagement, Outcome Centric Learning

We blend online learning and leave virtual classroom training with mentorship and labs to get results

The Latest Curriculum, from Industry experts

We partner with global luminaries and update our courses several times a year


Background Knowledge


Interactive Training


Check of Understanding


Application skills in Workplace


Coaching & Mentoring


Remainders & Followup


Creating a fail-safe environment for which learners can practice the skills and knowledge they need is the fastest way to achieve proficiency.
Learning simulations achieve this by mimicking the most predictable experience that employees will encounter in their job and then providing real-time feedback as positive or negative actions are performed.
our approach to learning simulation focuses on these variables

Real-Time Feedback

Learners must feel they are actually on the job for
them to enter the mindset needed to learn a new skill.
This requires extreme customization to match the job environment and scenarios.

This is what separates on-the-job training from on-the-job experience.
In learning scenarios, learners have the ability to immediately recall the actions they took to get to a positive or negative outcome, thus making the impact more memorable than a post-event coaching session.

Successful implementations of learning simulations require consistent roll out across all team members,especially those who are considered to already know it all and are mentors to other employees.

Full Stack Developer:

The United States Bureau of Labor Statistics estimates full-stack development employment to increase from 135,000 to over 853,000 by the year 2024. Further, to back up the argument, Indeed recently reported that the job of a full-stack developer stands strong at number 2 position according to their scores.
For aspirants who are planning to enter into the tech industry and land up a good job, the role of a full-stack developer might just be the ideal option for them. Considering there is a wide scope of opportunities for full-stack developers, professionals can work across several verticals, ranging from startups to giant tech organizations to public agencies and industries.
Full-stack developers offer the perfect blend of front-end and back-end skills that are needed to create and manage an application. Whether it is laying out the foundational unit for a web application or handling the back-end server management or deploying frequent and better updates on the client-side, a full-stack developer can handle all the tasks without any hassle.

Data Scientist:

Accelerate your career  with world-class training by an industry leader on the most in-demand Data Science and Machine learning skills. Gain hands-on exposure to key technologies including R, SAS, Python, Tableau, Hadoop and Spark. Become an expert Data Scientist today. 
A Data scientist is the top ranking professional in any analytics organization. Glassdoors ranks Data Scientists first in the 25 Best Jobs for 2019. In today’s market, Data Scientists are scarce and in demand. As a Data Scientist, you are required to understand the business problem, design a data analysis strategy, collect and format the required data, apply algorithms or techniques using the correct tools, and make recommendations backed by data.

Courses Offered :

Java Full Stack Developer

Data Science & Business Intelligence:

  • Data Scientist
  • Data Analyst
  • Data Science with python
  • Data Science with SAS training
  • Tableau Desktop 10
  • Business Analytics Expert
  • Power BI

Big Data:

  • Big Data Engineer
  • Big Data Hadoop and Spark Developer
  • Big Data and Hadoop Administrator
  • Bigdata Apache Kafka


  • Salesforce Administrator & App Builder
  • Salesforce Administrator
  • Salesforce Platform App Builder
  • Salesforce Platform Developer ( Apex and Visual Force )

QA Testing:

  • Selenium Tester
  • Appium/Mobile Tester
  • ETL Tester
  • Manual Tester