Machine Learning - Part I
Enroll to the class that suits your requirements from below:
|Audit Course||Full Course with Assessments||Full Course with Mock Interviews|
|Participation Certificate||✅ Completion Certificate for ML Foundation Skill||✅ Completion Certificate for ML Foundation Skill|
|4 weeks, 2hrs/week||7 weeks, 4hrs/week||8 weeks, 4hrs/week|
|n/a||✅ Video Access||✅ Video Access|
|n/a||Weekly Assessment||Weekly Assessment|
|n/a||Weekly Solution discussions||Weekly Solution discussions|
|n/a||✅ GradsKey Points for assessments||✅ GradsKey Points for mock interview & assessments|
|n/a||n/a||✅ Mock Interviews|
|n/a||✅ will get into curated pool for future internship / job opportunities||✅ Pre-placement / Job Opportunities|
Request to Enroll
There are offers depends on your profile badge / MoU college / Ambassador referrals.
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There may be offers for you.
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This course is mainly tailored for Students and Professionals, who like to strengthen their skills in Machine Learning using Python in context to industry requirements.
Undergraduate students of Mathematics, Electrical, Mechanical, Chemical, Computer Science, and other core branches of engineering, & Science, and MBA and MCA students.
Professionals who like to learn Machine Learning basics for better career options.
Weeks marked with * are only for FULL course registrants.
Weeks marked with ** are only for FULL course registrants with mock interview.
Week 1: Sunday
Week 2*: Saturday
Week 2: Sunday
Week 3*: Saturday
Week 3: Sunday
Week 4*: Saturday
Week 4: Sunday
Week 5*: Saturday
Week 5*: Sunday
If you are registered for a Course with Mentorship cum Assessment,
then additionally, you will be handed a Course Completion Certificate.
This is because you will be given multiple rounds of problems to solve.
Also the solutions would be discussed. In finality, there would be a session
with industry experts to know more about the intricacies and applications.
If you are registered only for the Course, then you will get the Course Participation Certificate.
Yes. You will get access to the video of this
live interactive course lectures, which will be made available for a year.
At the end of every week, the video lectures of the course lecture will be uploaded.
GradsKey Courses are ideal for learning the subject matter keeping in mind the
Industry requirements and competitiveness. The GradsKey Mentorship and Assessment programs
are aimed to prepare you well before facing interviews.
And in-house promotional interviews, solving practises with solutions, mock-interviews, mentorship by Industry Experts are part of the Mentorship and Assessment program.
Whereas, the Course (with only lectures) is purely for learning, without much emphasis for practising.
Eligible Candidates get into the 'curated pool' only after mentorship / assessment program rounds. The Curated pool candidates are referred to hiring companies in GradsKey network for Jobs, pre-placement options, and for Internships.
Plan upgrade happens based on your performance on the outcome of the courses and mentorship programs.
Say if you are one of the top 10% of the performers, then automatically your plan would get upgraded
to the next level for free of the cost.
Plan downgrade happens based on the performance of the outcome of the courses and mentorship programs. For instance, if you remain in the bottom 20% of the course / mentorship programs, then your plan would get automatically downgraded to an immediate lower plan and the difference of fee between the corresponding plans would get refunded / adjusted accordingly.
See more about GradsKey Membership Plans.
Nilotpal is interning at SellerApp, an Amazon network company. He has prior internship experience with prestigious Fintech company.
"I am an undergraduate student at National Institute of Technology, Puducherry pursuing my bachelor's degree in Computer Science and Engineering. I am an enthusiastic undergraduate currently exploring the various avenues that NIT Puducherry has to offer. I am currently exploring cloud computing and DevOps along with their intersections to choose the best field for my career. "