Advanced Certificate Program in Machine Learning and NLP with IIIT B

Advanced Certificate Program in Machine Learning and NLP

Kick-start your ML journey with personalized mentorship from Internationally acclaimed Industry experts and receive hands-on projects.

With Industry Experts From

Online

Format
40,000+

Paid Learners
250+

Hours of Learning
6 months

Recommended 12 hrs/week
Aug 15, 2022

Start Date
85+ Countries

Learner Base

Overview
Certificate
Benefits
Syllabus
Instructors
Admission Process
Reviews
Fees
Refer & Earn
FAQs

Program Overview

Key Highlights

Designed for Working Professionals
250+ Hours of Learning
Advanced Certificate from IIIT Bangalore
5+ Industry Projects, Case Studies & Assignments
1:1 Personalised Mentorship from ML Industry Experts
Student Support available all day for your convenience (24*7). For urgent queries, use the Call Back option on the platform

Eligibility: Bachelor's Degree with 50% or equivalent passing marks

Curriculum Overview: Naive Bayes, Tree Models, Unsupervised Learning, Lexical, Syntactic & Semantic Processing, Building a Chat Bot

Syllabus

Experience 250+ hours of best-in-class content developed by leading faculty & industry leaders in the form of videos, case studies & projects

Programming Languages, Tools & Libraries Covered

Advanced Certificate Programme from IIIT Bangalore

Complete all the courses successfully to obtain this prestigious recognition from IIIT Bangalore. IIIT Bangalore is a deemed university by UGC, AICTE approved & in the Top 70 Engineering Universities as per NIRF Rankings.

Build a strong network for life with opportunities to connect to Machine Learning Industry experts & your experienced fellow learners
Gain theoretical knowledge & practical understanding with this cutting-edge curriculum
Learn multiple tools & languages to stand apart to gain a foothold in the ML & AI industry

Advanced Certificate Programme from IIIT Bangalore — Click to Zoom

Benefits with upGrad

Dedicated Career Support services, Personalized Mentorship from Global Industry Experts, Hands-on Projects, Peer-peer International networking opportunities & a whole lot more to help you master Machine Learning & NLP.

Career Assistance
Learning Support
Practical Learning & Networking

Interview Prep & Resume Building
- Get 1:1 Resume Review Sessions from Industry Experts with International exposure & a dedicated Career Mentor
- Profile Building Workshops: Live sessions on how to build your profile - be it your resume or GitHub profile
- Explore 100+ commonly asked interview questions across modules
Company Specific Preparation
- Just-in-Time Interviews: Get company and role-specific preparation with mock interviews right before your actual interviews
- Access to a carefully curated pool of interview resources per company to ensure you're interview-ready
Industry Expert Mentorship
- Fortnightly personalized group (1:8) mentorship sessions with global industry experts for pro-active mentoring.
- Calls with industry-experienced experts for personalized feedback & guidance spread over 3 month.
- Live interactive sessions with leading industry experts covering curriculum + advanced topics
Student Support
- Student Support available all day for your convenience (24*7)
- For urgent queries, use the Call Back option on the platform.
Networking & Learning Experience
- Live Discussion forum for peer to peer doubt resolution monitored by technical experts
- Worldwide peer to peer networking opportunities with an alumni pool of 10000+
- Lab walkthroughs of industry-driven projects
- Weekly real-time doubt clearing sessions

International Preparatory Course
- 4 Weeks
Data Science Tool Kit
- 3 Weeks
Statistics and Exploratory Data Analytics
- 5 Weeks
- 2 Assignments
Machine Learning
- 6 Weeks
- 1 Assignment
Machine Learning II
- 7 Weeks
- 1 Assignment
Natural Language Processing
- 7 Weeks
- 2 Assignments

250+

Hours of Content
5+

Case Studies and Projects
24+

Live Sessions
15+

1:8 Small group Coaching Sessions with global industry Experts
11

Tools, Languages & Libraries
1:1

Mentorship Sessions with global Industry Experts

Industry Projects

Learn through real-life industry projects, assignments & case studies

Network with peers by collaborating on projects
Guidance from an experienced industry mentor to achieve concrete learning outcomes
Personalised subjective feedback on your submissions to help you improve

MINI CAPSTONE PROJECT: (Customer Ticket Classification)

Learners will create a solution that will help in identifying the type of co...

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House Price Prediction

Build a model to understand the factors house prices vary on and help an Ame...

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Telecom Churn Analysis

Solve the most crucial business problem for a leading telecom operator in In...

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Lending Club Project

Determine which customers are at the risk of default and what are their char...

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Investment Analysis

Fill in the shoes of an analyst at an investment bank and determine where th...

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Bike Sharing Demand Prediction

Learners are required to model the demand for shared bikes in the American m...

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Part-of-Speech tagger Project

Build a POS tagger for tagging unknown words using HMM's & modified Viterbi ...

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Instructors

Learn from India's leading ML & AI faculty and industry leaders

Hindol Basu

CEO

An alumnus of IIT and IIM with over 13 years of experience in Analytics with industry leaders such as the CitiGroup, Tata Industries, etc.

S. Anand

CEO

A Gold medallist from IIM Bangalore, an alumnus of IIT Madras and London School of Business, Anand is among the top 10 data scientists in India.

Ujjyaini Mitra

Head of Analytics

An alumnus of McKinsey and Co., Flipkart, and Bharti Airtel with over 11 years of experience.

Anshuman Gupta

Director | Data Science

He has a Ph.D. (Dual) from Penn State University as well as a B.Tech. degree from IIT Bombay.

Ankit Jain

Sr. Research Scientist

An alumnus of IIT Bombay, UCB, and Harvard Business School with over 9 years of experience.

Kalpana Subbaramappa

ex-AVP | Decision Science

Kalpana is the ex-AVP of Decision Sciences at Genpact with over 20 years of experience.

Chandrashekar Ramanathan

Dean | Academics

Prof. Chandrashekar has a Ph.D. from Mississippi State University and has over 10 years of experience in several multinational organisations.

Tricha Anjali

Ex-Associate Dean

Prof. Anjali has a Ph.D. from Georgia Tech as well as an integrated M.Tech. (EE) from IIT Bombay. Her research interests include computer networks.

Debabrata Das

Director, IIITB

He is PI and nodal officer of the project under the National Mission for Interdisciplinary Cyber-Physical Systems.

Prof. G. Srinivasaraghavan

Professor

Prof. Srinivasaraghavan has a Ph.D. in Computer Science from IIT Kanpur and 18 years of experience with Infosys Technologies.

Dinesh Babu Jayagopi

Asst. Prof.

Prof. Dinesh has a Ph.D. from Ecole Polytechnic Federate Switzerland, M.Sc. from IISc Bangalore in System Science and Signal Processing, and B.Tech.

Srinath Srinivasa

Professor & Dean | R&D

He holds a Ph.D. in Information Systems from the Berlin-Brandenburg Graduate School, Germany, and is a recipient of various international grants.

Mirza Rahim Baig

Lead | Business Analytics

Advanced analytics professional with 8+ years of experience as a consultant in the e-commerce and healthcare domains.

Prof. V. Sridhar

Faculty in Charge, CPE, IIITB

He has a Ph.D. from the University of Iowa, U.S.A. He has been a member of GOI committees on Telecom & IT.

Our Learners Work At

Top companies from all around the world have recruited upGrad alumni

Admission Process

Please find below the detailed steps to be followed as a part of the admission process.

Fill out the Application Form

Fill out an application with details on your professional & educational background.

Review and Shortlisting of Candidates

Our Admissions Committee will review all applications & will consider the educational and professional background of an applicant. Following this, offer letters will be rolled out.

Enrollment for Access to Prep Content

Make a quick block payment and receive immediate access to the prep content and begin your Upgrad journey.

Student Reviews

Loveneet Kumar

13 Years Experience DRDO

At present , this is the most comprehensive and effective ML and Data science course available online. They emphasize on implementation of techniques and approaches rather than theory. With lots of hands on it gives you confidence to start with any real world problem if you have data.

Sachinraj CS

6 Years Experience IG Infotech India

Satisfied with the modules, mentor support and all the services offered. Content would cover every concept of machine learning including the math behind it that gives full confidence while building any model.

Suchet Raghavan

3.5 Years Experience Capgemini

I would recommend this course to anyone interested in stepping into this domain, or to expand their current knowledge. The group case studies and assignments played a vital role throughout the course for me as I was able to truly implement the theoretical concepts learnt during the course which were in line with industry expectations.

Argho Chatterjee

10 Years Experience Samsung

The course covers many of the basic concepts required to build good intuition of Machine Learning models. Most of the basic maths required for developing an intuition of the algorithm is covered.

Program Fee

GBP 1,499

This price applies for payment in installments. An exclusive upGrad scholarship applicable for upfront payments.

Refer someone you know and receive cash reimbursements of up to $500!*

*More details under the referral policy under Support Section

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What's Included in the Price

Features/Benefits

Advanced Certificate from IIIT Bangalore Without Quitting Your Job
Practical Learning with Industry Projects and Case Studies
Rigorous Cutting-Edge Curriculum Developed in Collaboration with IIIT Bangalore and Industry Leaders in NLP.
Career Services
International Networking opportunities with 10,000+ alumni & leading industry experts
A truly International program with Learners from 85+ Countries

Frequently Asked Questions

Program Details

Support

Refund Policy/Financials

Selection Criteria