Training & Hiring program for Engineering Graduates at

Bengaluru

With a vision to develop a world class Indian IT professional workforce,  RTS Training and Staffing Services was born under the RTS  umbrella. RTS TSS through its flagship Learn to Earn Accelerator program aims to up-skill and polish fresh technical graduates into comprehensive technical professionals having assured jobs with RTS. 

RTS TSS fulfils the talent sourcing and training requirements for RTS Technologies’ in our Bangalore office

Fees for the Program: INR 95,000(Program fee INR. 80,500 + INR. 14,500 GST)

    Up-to-date Skills

We offer a razor sharp focus on the skills employers are looking for

      Build your Portfolio

Our project-based curriculum gets you ready and prepared to impress

Get Hired

With full career support you’ll be ready for the job market in Bangalore and beyond

Join The Community

 RTS is more than just an institute, it’s a family

machine learning training in marathahalli, machine learning courses in bangalore, machine learning and artificial intelligence courses in bangalore. artificial intelligence course institute in bangalore, best machine learning courses, ai and machine learning course, artificial intelligence certification, data science certification course, data science certification online, data science degree

Eligibility:

  • B.E/B.Tech/M.E/M.Tech

  • MCA / M.Sc. (CS/IT)

  • 65% & above Marks in Class X, Class XII and Graduation (and PG if pursued)

  • No standing back papers

  • 2014, 15, 16 & 17 Batches

  • All Over India

Program Details:

The 6-month job assured training constitutes 3 months of extensive classroom training followed by next 3 months of on-the-job-training carried out on live global projects. Also referred to as the Professional Practise Term, on the job training takes place in RTS Technologies’ offices in RTS offices.

 

The program goes beyond mere training – it opens up viable career options that accelerate professional growth in the IT industry. Students successfully completing the training program are employed on RTS Technologies payroll.

 

Candidates are aligned to Infrastructure Services, Software Application & System Integration, and Engineering & Research verticals of RTS Technologies.

 

Over the last two years, over 5000 graduates have benefited from the RTS TSS training program.

 

Training is carried out in streams including :

 

  • Data Science

  • Business 

  • Testing

  • Software application (C#, Oracle, Java .Net etc)

  • Infrastructure

  • Networking

  • and many more

 

The School of professional Excellence runs parallelly imparting language and personality development skills. Its curriculum also incorporates written and verbal communication, customer handling skills and the importance of ethics in business.

 

Selection Process:

Resources for Online Test:

  • Sample Test – Aptitude

  • Sample Test – Computer Fundamentals

  • Sample Test – Computer Fundamentals NON-IT

Performance Linked Association Reward (PLAR)

Program Duration:

Six Months, comprising of:

  • 3 months class room training

  • 3 months professional practice term at RTS Technologies' offices

Program Fee:

Fees for the Program:INR 95,000(Program fee INR. 80,500 + INR. 14,500 GST)

Loan Assistance:

The candidate wishing to avail loan facility needs to pay INR.29,000 initially and can avail loan assistance for the remaining INR 95,000/-. RTS TSS has a tie-up with various banks.

Career Path:

Candidates joining this program shall be covered under the Performance Linked Association Reward (PLAR) plan and will have a chance to earn up to 6.8 lacs over and above their growing CTC.

Candidates will be rewarded for their commitment, partnership and performance (In adherence to the applicable RTS Policy)

Post completion of the training program, you start your career with RTS in Application Development / Product Development / Testing / Maintenance / Support roles spanning across business units such as Banking, Healthcare, Financial Services, Infrastructure Management and Engineering Services.

Submit Query Form:

Or Call Us:

Thanks! Message sent.