Medium Of Instructions | Mode Of Learning | Mode Of Delivery | Frequency Of Classes |
---|---|---|---|
English | Self Study, Virtual Classroom, Campus Based/Physical Classroom | Video and Text Based | Weekends |
The PG Level Advanced Programme in Applied Data Science and Machine Intelligence certification by the TalentSprint in collaboration with IIT Madras is a 12-month online course. This online certification course is designed to develop learners’ tech capabilities while enabling them to apply their learnings to make data-oriented business decisions for their organizations. The PG Level Advanced Programme in Applied Data Science and Machine Intelligence online course is designed and delivered by the Robert Bosch Centre for Data Science and AI (RBCDSAI) at IIT Madras.
The PG Level Advanced Programme in Applied Data Science and Machine Intelligence certification syllabus discusses various important topics of data science and machine learning. The curriculum also includes capstone projects including recommendation systems, digital recognition systems, healthcare analytics, biological network analysis, and others. Participants can attend the PG Level Advanced Programme in Applied Data Science and Machine Intelligence classes through faculty-led interactive masterclass lectures, hands-on labs, and workshops. They will also visit the campus for three days towards the end of the cohort.
Certificate Availability | Certificate Providing Authority |
---|---|
yes | IIT Madras |
The PG Level Advanced Programme in Applied Data Science and Machine Intelligence certification fee is Rs 300,000. Participants can pay the course fee with zero per cent EMI by choosing their instalment options for a maximum of 48 months. For more details about EMI options, visit https://iitm.talentsprint.com/adsmi/fee.html.
With the scholarship, the PG Level Advanced Programme in Applied Data Science and Machine Intelligence certification fee will be Rs 225,000.
PG Level Advanced Programme in Applied Data Science and Machine Intelligence certification fee structure
Description | Amount in INR |
Total fee | Rs 300,000 |
With scholarship | Rs 225,000 |
Candidates seeking admission to the PG Level Advanced Programme in Applied Data Science and Machine Intelligence certification course by TalentSprint in collaboration with IIT Madras must hold a B.E./B.Tech/B.Sc./M.E./M.Tech/M.Sc or an equivalent degree.
Work Experience
Candidates are required to have a minimum of 1 year of experience to pursue the PG Level Advanced Programme in Applied Data Science and Machine Intelligence online course.
The PG Level Advanced Programme in Applied Data Science and Machine Intelligence training will provide students with the foundational concepts of data science and machine learning. Students will also be able to:
The PG Level Advanced Programme in Applied Data Science and Machine Intelligence certification by TalentSprint in collaboration with IIT Madras is best suited for
The admission process for the PG Level Advanced Programme in Applied Data Science and Machine Intelligence certification course includes the following steps.
Step 1: Visit the official webpage - https://iitm.talentsprint.com/adsmi/
Step 2: Apply for the course
Step 3: Wait for selection
Step 4: Pay the remitting registration fee to block your seat
Step 5: Pay the full programme fee to enrol for the course
Step 6: Start learning
The course selection will be done by IIT Madras. The selection will be strictly based on the eligibility criteria and the inclination of applicants as expressed in their statement of purpose.
Candidates who have completed B.E./B.Tech/B.Sc./M.E./M.Tech/M.Sc or an equivalent degree can apply for this online certification course.
The duration of the PG Level Advanced Programme in Applied Data Science and Machine Intelligence certification course is 12 months.
Yes, you must have at least one year of experience to pursue this online certification course.
Yes, programming knowledge is required for the PG Level Advanced Programme in Applied Data Science and Machine Intelligence online course.
You can attend the classes through interactive masterclasses lectures, hands-on labs, workshops and a 3-day campus visit for enhanced learning.