Certificate Courses

Due to tremendous competition in Engineering and allied fields getting a Certification Course gives an added advantage to a student over others in competition.

Preference is given to those candidates who are a Certified Professional, while the companies hire new employees or analyse their job performance. Certification Course helps an individual to showcase his competency, commitment for the profession, build expertise in his professional subject area, and helps with job advancement. This gives a kind of assurance to the firm about his/her skills in performing the given job.

Rules To Complete Certifications 

• All the students should complete three (3) certificate courses in discipline domain areas, in addition to one from yoga / sports & games / fine arts.
• Certificate courses are offered from best learning platforms like coursera in collaboration with K L University and leading industry experts.
• Minimum duration is 4-6 weeks for online courses and 48 hours for courses offered by industry.

Certificate courses offered by ECE Department

Y15 Batch:

1.  NI LABVIEW
2. NI CLAD
3. COURSERA
   • Introduction to the Internet of things and embedded systems
   • An Introduction to programming the Internet of things (IoT)
   • Cybersecurity and the Internet of things
   • Introduction to FPGA Design for Embedded Systems
   • VLSI CAD Part 1 : Logic
   • VLSI CAD Part 2: Layout
   • Sensors and sensor circuit design
   • Wireless communication for everybody
   • Fundamentals of network communication
   • Advanced machine learning and Signal processing
   • Advanced Data Science with IBM Specialization
   • Fundamentals of Digital image and video processing
   • Neural networks and deep learning
4. PEGA Certification
5. SALES FORCE

Y16 Batch:

1. NI CLAD
2. NI CLD
3. WIPRO TALENT NEXT
4. UI PATH
5. SERVICE NOW
6. PEGA CERTIFICATION
7. AUTOMOTIVE ELECTRONICS & IoT (ISIE)
8. ELECTRIC VEHICLE DESIGN & DEVELOPMENT (ISIE)
9. AUTOMATION ANYWHERE
10. Coursera
    • An Introduction to programming the Internet of things (IoT)
    • Introduction to FPGA Design for Embedded Systems
    • Advanced Data Science with IBM Specialization
    • Machine Learning
    • Deep Learning Specialization

Y17 Batch:

1. NI CLAD
2. APSSDC
3. AUTOMOTIVE ELECTRONICS & IoT (ISIE)
4. ELECTRIC VEHICLE DESIGN & DEVELOPMENT (ISIE)