Java Full Stack Enterprise Grade
Certification jointly by IIT MADRAS PRAVARTAK and GRADSKEYAbout IIT Madras Pravartak Skilling Partnership with Gradskey
- SELF PACED Video classes
- Live online Q/A and Project mentoring
- Java Full Stack
- Advanced
- Medium
- Certificate
Easy payment option - 40% in the beginning, 30% in the middle, 30% at the end.
Easy EMI option also available.
Only 25% of the fee for economically deserving students.
This Workshop is for pre-final year / final year College Students from any degree/discipline and for Freshers who are looking for a job switch to Java Full Stack domains.
Project (side-by-side while learning lessons): Deploying Apps in websites
Project (side-by-side while learning lessons): Deploying Apps in Cloud
Yes. You will get IIT Madras Pravartak Foundation Certificate when you get at-least 60% of the course mark. You will get GradsKey certificate if you get more than 50% of the course mark. Course marks would be cumulative of weekly assignments/test, projects, viva, and mock-interviews that happens than and there.
Yes, with this certification, you will be referred to companies for Internship in your pre-final year,
and you will be referred for Pre-placement offers in your final year.
Immediate placement referrals for the freshers and professionals.
This would be through our corporate partners and corporate partners of IIT Madras Pravartak.
Yes. You will get access to the video of this
live interactive workshop demo and lectures, which will be made available for a two years.
At the end of every week, the video of the class lectures/demo will be uploaded.
Yes, GradsKey offers good discounts and sometimes waves off the entier fee for the economically deserving students.
You just have to contact us with the proof, we will do our best from our end.
"Instructors are from Corporate - Software Engineers from premium companies, working on the cutting-edge technologies and Java on a day to day basis.."
Dr. Ranganathan has done his PhD from Clarkson University, USA. With 25+ years of experience, he is skilled and experienced to ideate, research, implement, lead and build end to end products that use data driven models for providing insights, fault diagnosis, closed loop control actions. His Specialties are: Machine learning, Process Control, algorithm development, Advanced Process Control, Model Predictive Technology, Fault detection and diagnosis, Applied Optimization.