Campus Employability Labs(CEL)
An ecosystem solution to make your college/university 100% employable
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How Campus Employability Labs would make graduates 100% employable?
AI Infrastructure
Weekly lab sessions with facial recognition technology for student discipline & monitoring
Assessments
Hands on experience on projects & mock interviews with professionals
Job skills from industry
Skills curriculum taught live by industry mentors with 5-10 yrs of experience
100% employability
6 mock interviews+ 3 real interviews to bag an offer
ELIGIBILITY CRITERIA FOR COLLEGES TO SETUP A EMPLOYABILITY LAB
infrastructure
Atleast 180 work stations with a mix of 100 stations with at least 4GB RAM (for Software engineer job roles) while 60 stations with 16 GB RAM (Data science job roles & machine learning algorithms to work seamlessly)
INTAKE
Overall student intake of the college should be at least 1000 students across all degree programmes in all years combined.
LAB ASSISTANT
At Least one lab assistant should be employed full time by college.
EMP LEADER
1 college professor or TPO should represent the college as an "Employability Leader" who takes initiative in setting up the Lab & coordinating with edwisor officers every month on students progress.
Selection Process(For Students)
Step 1
Eligibilty Criteria
  • Academic merit
  • Discipline at college
  • Teacher/TPO recommendations
Step 2
Shortlisting Process
“Employability Leader” has to submit the student's academic & discipline data for all students in all branches who are eligible to apply for job role programmes
Step 3
Selection & Commencement
Final list of 30 students per batch for 6 batches (2 batches from 2nd, 3rd & 4th year) shall be shortlisted by edWisor Industry HR team for the commencement of the Campus Employability Lab
Meet the Mentors!
Deepak Sharma
Founder of Recogx.AI. Guest Faculty @ IIM-L. Data Science expert with 14+ years of experience with companies like Kronos, CapGemini,Think Big Analytics. Specialises in ML & AI.
Mayank Goel
Analytics & FInance Expert with 10+ years of experience with brands like RBS, Vodafone Global, Bank of America, Cognizant etc. An IIFT Alumni with strong Analytics expertise.
Ravi Shekhar
Over 10 years of experience in solving complex analytics problems & building scalable solutions with companies like Royal Bank of Scotland, TCS & Cognizant.
RamaKrishna
IIT-Delhi Alum, currently Leading the Data Science @ Novartis. Expertise in Deep Learning, Machine Learning, NLP & complex tech with the likes of Airtel & TCS.
Over 250+ Companies have on-boarded with us as hiring partners.
JOB READINESS PROCESS
Students would be skilled in trending job roles & industry domain knowledge step by step from
basics to advanced levels through the immersive learning process as below :
Student Degree Year Skill Duration Project Duration Grooming Duration Number of Projects Job Offer Type Interviews Guaranteed
1st Year Not Eligible - - - - -
2nd Year 3 Months 2 Months - 2 N/A -
3rd Year 3 Months 2 Months 0.5 Month 2 Internship -
4th Year 3 Months 2 Months 1 Month 2 PPO+ Internship -
JOB ROLES AND BATCHES OFFERED TO 180 SHORTLISTED STUDENTS
Student Degree Year Job Role Batch Size
2nd Year Frontend Designer 30
2nd Year Data Analyst 30
3rd Year Front End Developer 30
3rd Year ML Engineer 30
4th Year Software Engineer (Full Stack Web) 30
4th Year Data Scientist 30
180
SAMPLE JOB ROLE CLASS PLAN
Skills Covered No. of lab classes Time duration Student degree year
Intro to JS, Modern JS, Basic Frontend Design 9 3 Months 2nd Year
Projects-2 2 Months 2nd Year
Mock Interviews-2 1 Month 2nd Year
       
Advance Responsive Design, Basics of jQuery, Advance jQuery, Intro to Typescript, Basic of Angular 9 3 Months 3rd Year
Projects-2 2 Months 3rd Year
Mock Interviews-2 1 Month 3rd Year
       
Advance Concepts in Angular, NodeJS & Rest APIs, Advance Rest APIs, Advance NodeJS, AWS Cloud, Nginx & deployment 9 3 Months 4th Year
Projects-2 2 Months 4th Year
Mock Interviews-2 1 Month 4th Year
10000+ Successful Students with Inspipring Stories
Rishabh Ahuja
Business Analyst, Decision Point
I was confused about how to start with Data science & found edWisor after some research & their combination of skills & hiring opportunities. The study material was designed well helping me in build a strong foundation which I applied in the live projects. The grooming sessions helped me build my confidence & cracking the interviews for a career I wanted.
Akshay Chaturvedi
edWisor gave me the opportunity to not only work on interesting projects but also in getting feedback from Data Science experts on my projects which really helped me in my job interviews & in getting hired.
Vishal Dutta
Edwisor is the most important phase in my path to build a career as a developer. Edwisor provided me with a systematic approach, and made it easier to understand the concepts. Plus the job interviews provided at the end gave me a great opportunity to start a career.
Abhishek Hupele
I wanted to explore my potential in Analytics & was fascinated by the world of Data Science. Thus I opted for edWisor's Data Science to up-skill myself and pursue this career. After completion of the training & projects, I got placed with Powerweave as a Machine Learning Engineer.
Vivek M
Every accomplishment starts with the decision to try. Taking the course at Edwisor is one of the crucial decision I have made and EdWisor made it as the best. The course content, support, and placement make EdWisor standout in the crowd. I can't Thank You enough.
Are you ready to make your students Employable & take your college placements to new heights?
Media coverage
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edWisor joins hands with top tech companies to provide strategic hiring and skill development
5 essential Requisites to Outperform in the IT Sector
Contact Us
shiwali.rastogi@edwisor.com, raman@edwisor.com
+91 76782 88013, +91 72919 30990
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