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:
- NI LABVIEW
- NI CLAD
- 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
- PEGA Certification
- SALES FORCE
Y16 Batch:
- NI CLAD
- NI CLD
- WIPRO TALENT NEXT
- UI PATH
- SERVICE NOW
- PEGA CERTIFICATION
- AUTOMOTIVE ELECTRONICS & IoT (ISIE)
- ELECTRIC VEHICLE DESIGN & DEVELOPMENT (ISIE)
- AUTOMATION ANYWHERE
- 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:
- NI CLAD
- APSSDC
- AUTOMOTIVE ELECTRONICS & IoT (ISIE)
- ELECTRIC VEHICLE DESIGN & DEVELOPMENT (ISIE)
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