Post Graduate Certificate in Machine Learning & NLP (Executive)
Online
India's #1 Technical University (Private)
8 Months
June 30, 2024
Programme Overview
Key Highlights
Designed for Working Professionals
250+ Hours of Learning
Advanced Certificate from IIIT Bangalore
5+ Industry Projects, Case Studies & Assignments
Dedicated Student Support available. You can write to us via studentsupport@upgrad.com or for urgent queries use the " Talk to Us" option on the learn platform.
Career Mentorship Sessions(1:1)
Exclusive Job opportunities Portal
High Performance Coaching(1:1)
AI Powered Profile Builder
Just-in-Time Interviews
Personalised Industry Session
Career Bootcamp
Daily Doubt Resolution Sessions
1 Free Deferral
Our aim is simple:
Machine Learning, Natural Language Processing, Machine Translation, Git
view moreBachelor’s degree with 50% or equivalent passing marks
view more- Build a strong network for life with opportunities to connect to NLP 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
Instructors
Learn from leading ML & AI faculty and industry leaders
Syllabus
Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions.
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250+
Hours of Learning
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5+
Industry Projects, Case Studies and Assignments
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10
Tools, Languages & Libraries
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50
Approx. LS Sessions
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Introduction to Python
Build a foundation for the most in-demand programming language of the 21st century. -
Python for Data Science
Learn how to manipulate datasets in Python using Pandas which is the most powerful library for data preparation and analysis. -
Data Visualisation in Python
Humans are visual learners and hence no task related to data is complete without visualisation. Learn to plot and interpret various graphs in Python and observe how they make data analysis and drawing insights easier. -
Data Analysis Using SQL
Data in companies is definitely not stored in excel sheets! Learn the fundamentals of database and extract information from RDBMS using the structured query language. -
Advanced SQL & Best Practices
Apply advanced SQL concepts like windowing and procedures to derive insights from data and answer pertinent business questions -
Data Analysis in Excel
Taught by one of the most renowned data scientists in the country (S.Anand, CEO, Gramener), this module takes you from a beginner level Excel user to an almost professional user. -
Analytics Problem Solving
This module covers concepts of the CRISP-DM framework for business problem-solving. -
Math for Machine Learning
Learn the prerequisite mathematical tools and techniques for ML - Linear Algebra and Multivariable Calculus.
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Exploratory Data Analysis
Learn how to find and analyse the patterns in the data to draw actionable insights. -
Cloud Essentials: Intro to Git and Github
Learn version control, collaborating, portfolio making using git. Understand the process of creating repository. Learn the process of creating github portfolio using github pages with jekyll -
Inferential Statistics
Build a strong statistical foundation and learn how to 'infer' insights from a huge population using a small sample. -
Hypothesis Testing
Understand how to formulate and validate hypotheses for a population to solve real-life business problems. -
Lending Club Case Study
Determine which customers are at the risk of default and what are their charecteristics so as to avoid providing loans to similar people in the future.
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Linear Regression
Venture into the machine learning community by learning how one variable can be predicted using several other variables through a housing dataset where you will predict the prices of houses based on various factors. -
Linear Regression Assignment
Build a model to understand the factors car prices vary on and help a Chinese company enter the US car market. -
Logistic Regression
Learn your first binary classification technique by determining which customers of a telecom operator are likely to churn versus who are not to help the business retain customers. -
Naive Bayes
Understand the basic building blocks of Naive Bayes and learn how to build an SMS Spam Ham Classifier using Naive Bayes technique -
Model Selection
Learn the pros and cons of simple and complex models and the different methods for quantifying model complexity, along with regularisation and cross validation
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Advanced Regression
Understand generalised regression and different feature selection techniques alongwith the perils of overfitting and how it can be countered using regularisation. -
Advanced Regression Assignment
Build a model to understand the factors house prices vary on and help an American company enter the Australian housing market. -
Support Vector Machine (Optional)
Learn how to find a maximal marginal classifier using SVM, and use them to detect spam emails, recognize alphabets and more! -
Tree Models
Learn how the human decision making process can be replicated using a decision tree and other powerful ensemble algorithms. -
Model Selection - Practical Considerations
Given a business problem, how do you choose the best algorithm? Learn a few practical tips for doing this here -
Boosting
Learn how weak learners can be 'boosted' with the help of each other and become strong learners using different boosting algorithms such as Adaboost, GBM, and XGBoost. -
Unsupervised learning: Clustering
Learn how to group elements into different clusters when you don't have any pre-defined labels to segregate them through K-means clustering, hierarchical clustering, and more. -
Unsupervised Learning: Principal Component Analysis
Understand important concepts related to dimensionality reduction, the basic idea and the learning algorithm of PCA, and its practical applications on supervised and unsupervised problems. -
Telecom Churn Case Study
Solve the most crucial business problem for a leading telecom operator in India and southeast Asia - predicting customer churn.
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Lexical Processing
Do you get annoyed by the constant spams in yor mail box? Wouldn't it be nice if we had a program to check your spellings? In this module learn how to build a spell checker & spam detector using techniques like phonetic hashing,bag-of-words, TF-IDF, etc. -
Syntactic Processing
Learn how to analyse the syntax or the grammatical structure of sentences using POS tagging and Dependency parsing. -
Syntactic Processing -Assignment
Use the techniques such as POS tagging and Dependency parsing to extract information from unstructured text data -
Semantic Processing
Learn the most interesting area in the field of NLP and understand different techniques like word-embeddings, topic modelling to build an application that extracts opinions about socially relevant issues. -
Case Study: Classifying customer complaint tickets
In this case study you will create a solution that will help in identifying the type of complaint ticket raised by the customers of a multinational bank
Industry Projects
Investment Analysis
Learners will fill in the shoes of an analyst at an investment bank and determine where the firm should invest. They will then have to explain their recommendations in lieu of the analysis conducted.
Investment Analysis
Lending Club Case study
Determine which customers are at the risk of default and what are their characteristics so as to avoid providing loans to similar people in the future.
Lending Club Case study
Car Price Prediction
Build a model to understand the factors car prices vary on and help a Chinese company enter the US car market.
Car Price Prediction
House Price Prediction
Build a model to understand the factors house prices vary on and help an American company enter the Australian housing market.
House Price Prediction
Telecom Churn Case
Solve the most crucial business problem for a leading telecom operator in India and southeast Asia – predicting customer churn.
Telecom Churn Case
Part-of-Speech tagger Project
Use the techniques such as POS tagging and Dependency parsing to extract information from unstructured text data
Part-of-Speech tagger Project
MINI CAPSTONE PROJECT: Classification of customer complaint tickets
Create a solution that will help in identifying the type of complaint ticket raised by the customers of a multinational bank
MINI CAPSTONE PROJECT: Classification of customer complaint tickets
Benefits with upGrad
360 Degree Career Support services, Personalized Mentorship from Industry Experts, Hands-on Projects, Peer Networking opportunities & a whole lot more to help you master Machine Learning & AI.
upGrad Opportunities:
- upGrad Elevate: Virtual hiring drive giving you the opportunity to interview with upGrad's 300+ hiring partners
- Job Opportunities Portal: Gain exclusive access to upGrad's Job Opportunities portal which has 100+ openings from upGrad's hiring partners at any given time
- Be the first to know vacancies to gain an edge in the application process
- Connect with companies that are the best match for you
- Get mentored by an experienced industry expert and receive personalised feedback to achieve your desired outcome
- Get a dedicated career coach after the program to help track your career goals, coach you on your profile, and support you during your career transition journey
- Obtain specific, AI powered inputs on your resume and Linkedin structure along with content on real time basis
Interview Preparation
- Get access to Industry Experts and discuss any queries before your interview
- Career bootcamps to refresh your technical concepts and improve your soft skills
- Interactive Live Sessions with leading industry experts covering curriculum + advanced topics
- Personalised Industry Session in small groups (of 10-12) with industry experts to augment program curriculum with customized industry based learning
Student Support
- Dedicated Student Support available for non-academic queries
- You can write to us via studentsupport@upgrad.com Or for urgent queries, use the "Talk to Us" option on the Learn platform.
Hands-on Projects & Hackathons
- 6 projects & assignments and a Mini-Capstone Project to apply your learnings
- 1 Hackathon every quarter to network & build on core concepts Live coding classes on Kaggle & OpenCV
Networking & Learning Experience
- Live Discussion forum for peer to peer doubt resolution monitored by technical experts
- Peer to peer networking opportunities with a alumni pool of 10000+
- Lab walkthroughs of industry-driven projects
- Weekly real-time doubt clearing sessions
Career Impact
Personalised Industry Session
Sessions by an industry expert for a small group of 10-12 learners with similar profiles to discuss real life applications of concepts and personalised coaching
High Performance Coaching
Get a dedicated career coach to help you stay on track to achieve your career goals, coach you on your profile, and support you in your career journey.
Career Mentorship Sessions (1:1)
Get personalised career landscaping from experts to chart out best opportunities
Interview Preparation
Support in polishing your hard skills and soft skills for interview preparation
Student Reviews
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.
Detailed ReviewSatisfied 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.
Detailed ReviewThis program on Machine Learning and Deep Learning makes you a completely skilled machine learning engineer. With industrial assignments and some leading industrial facilities, it tends to feed you with ‘Ready to go’ knowledge and skills. I highly recommend this program for those who want to be expertised in Machine Learning and Deep Learning.
Detailed ReviewThe best part about the program is the faculty and the website experience. I didn’t feel like I was missing out something irrespective of whether it was in a class. In many ways it is better than a classroom experience. The program assumes you are from a non-science or non-mathematical background
Admission Process
There are 3 simple steps in the Admission Process which is detailed below:
Fill out the Application Form
Review and Shortlisting of Suitable Candidates
Enrollment for Access to Prep Content
Program Fees: USD 1,499
What You Benefit from This Program
- Post Graduate Certificate in Machine Learning & NLP (Executive) from IIIT Bangalore Without Quitting Your Job
- Practical Learning with Industry Projects, Case Studies & Assignments.
- Rigorous Cutting-Edge Curriculum Developed in Collaboration with IIIT Bangalore and Industry Leaders in NLP.
- 360 Degree Career Support with Career mentorship Sessions (1:1), Exclusive Job Opportunities Portal, High Performance Coaching (1:1), AI Powered Profile Builder etc.
- Peer to Peer networking opportunities with a alumni pool of 10,000+
Frequently Asked Questions
This an industry-relevant yet academically-rigorous 8-months program covering Natural Language Processing concepts. It is specifically designed for working professionals with Math/Software Engineering/Statistics/Analytics backgrounds to help them gain practical knowledge and to accelerate their entry into Advanced Machine Learning and Natural Language Processing roles.
The programme will benefit you in different ways depending on your prior experience:
Data Scientist or Senior Data Analyst: The programme will familiarise you with the advancements in ML and AI. It will also help you understand the mathematics behind algorithms and how you can modify them to suit your needs so that you can transition to a Senior Natural Language Processing role.
Statistician/Mathematician: Apart from familiarising you with the advancements in ML and AI, the programme will help you understand how to define a structured approach to solve a business problem, and will equip you with the right tools so that you can transition to a Natural Language Processing or a Data Science role.
Data Engineer/Big Data Engineer: The programme will set up a solid foundation of Statistics, Natural Language Processing along with problem-solving skills so that you can solve enterprise-level problems. It will build upon your existing knowledge of various tools to make you a Full-Stack Natural Language Processing or Data Science professional.
Software Developer: The programme will help you create a strong foundation of Statistics, Natural Language Processing, and Business Understanding. It will leverage your existing knowledge of programming and expand the technologies you are familiar with so that you can become a well-rounded Natural Language Processing professional.
This programme intends to produce extremely well-rounded data scientists and AI professionals with deep knowledge of mathematics, expertise in relevant tools/languages, and understanding of cutting-edge algorithms and applications.
The content will be a mix of asynchronous lectures from industry leaders as well as world-class faculty. Additionally, the programme comprises of some live lectures or hangout sessions dedicated to solving your academic queries and to reinforce learning.
Artificial Intelligence Courses, Tableau Courses, NLP Courses, and Deep Learning Courses are some of the top in-demand skills to learn in Machine Learning.
Post completion of the programme, an Post Graduate Certificate in Machine Learning & NLP (Executive) would be awarded by IIIT Bangalore.
All academic doubts would be cleared in the following way:
- Peer-to-peer discussion forum where you can post your queries and your peers/faculty/teaching assistants answer your queries within a day.
- Q&A session with the faculty to get clarification on conceptual doubts.
This programme is right for you if you have a Bachelor’s degree with 50% or equivalent passing marks and are interested to learn Natural Language Processing.
Step 1:- Fill out the Application Form
- Fill out an application with details on your professional & educational background.
Step 2:- Review and shortlisting of Suitable Candidates
- Our Admission Committee will review all applications and will consider the educational and professional background of an applicant. Following this, offer letters will be rolled out so you are assured a great peer group to learn and network with.
Step 3:- Enrollment for Access to Prep Content
- Make a quick block payment with assistance from our Loan partners where required, receive immediate access to the prep content and begin your upGrad journey.
Refund Policy: (Programmes without prep-session component)
- Student must pay applicable caution money for the enrollment of the course. This will be adjustable against the total course fee payable by the student.
- You can claim a refund for the amount paid towards the Program at any time, before the Program Start Date, by visiting www.upgrad.com and submitting your refund form via the "My Application" section under your profile. You can request your Admissions Counselor to help you in applying and withdrawing for a refund by sending them an email with reasons listed.
- There shall be no refund applicable once the programme has started. This is applicable even for those students who could not complete their payment, and could not be enrolled in the batch opted for. However, the student can avail pre-deferral as per the policy defined below for the same.
- Once the student pays block amount, "any" refund shall be subject to deduction of ₹10,000 processing charges.
- Student has to pay the full fee within 7 days of payment of caution money or cohort start date, whichever is earlier, otherwise, the admission letter will be rescinded and processing fee of ₹10,000 will be levied.
- Refund shall be processed to an eligible student within 30 working days from the date of receipt of written application from him/her in this regard.
1st Deferral (pre or post programme commencement) is free for all enrolled students with the following conditions:
- The Executive Post Graduate Program learners should complete the course in a maximum duration of 3 years from the initial batch start date.
- The Advanced Certificate Program learners should complete the course in a maximum duration of 2 years from the initial batch start date.
2nd deferral will be charged as explained below.
2nd Deferral Policy: (Pre Programme Commencement)
- If a student is facing severe issues in dedicating time to the course, we provide the opportunity for the student to defer to another batch.
- A student can request for deferral only once and from the start date of the initial batch in which the student was originally enrolled for. The student will be required to pay a deferral fees of 10% of the total course amount fee + Taxes if any along with the differential programme fees between the two cohorts. The deferral request will be approved once the deferral fee is paid. Till this is completed, the student will be assumed to be continuing in the same cohort.
- The student has 7 days (including holidays and weekends) from the date of deferral request to make the payment of the deferral fee post which the deferral request will expire, and the student will continue as part of the current cohort.
- If the student completes the deferral payment, the student's login will be disabled, the student will leave the deferred cohort and the student will start learning on the new cohort from the point of the last assignment that was graded in the deferred cohort. All grades and progress until that point will be carried forward as it is to the new cohort. For clarification, the grades of the graded assignments will be carried forward, whether or not the student had submitted these grading during the initial stage.
- The deferral can only be requested during the batch for which the student has enrolled is ongoing. Once the batch has completed, deferral requests shall not be entertained. For clarification, the batch completion here shall mean the "last grace deadline" as communicated by upGrad.
2nd Deferral Policy: (Post Programme Commencement)
- If a student, due to unavoidable circumstances, is unable to commence with the cohort and requests for a deferral before the cohort starts, we provide the opportunity for the student to defer to another cohort.
- To do so, the student will be required to pay 50% of the total Programme fee amount (inclusive of taxes) before the deferral can be approved. Till this is completed, the student will be assumed to be continuing in the same cohort.
- A student can request for deferral to any of the cohorts starting in the next 3 months from the start date of the initial batch in which the student was originally enrolled. For the first deferral request, subject to the point no. 2 of the Pre-Programme Deferral Policy, no additional charges shall be levied.
- If a student wants to defer his enrolment a second time, such student will have to make an additional payment of Rs.10,000 as Deferral fee, and this amount shall be non-refundable under any circumstances. Once this payment is done, students will be eligible to defer to any of the cohorts starting in the next 3 months from the current cohort.
- The student has time till the current cohort launch date to make the payment of the balance 50% Programme fee, post which the deferral request will expire. Once the deferral window expires and if such a student wants to withdraw his or her enrolment from the said Programme, the refund policy will be applicable.
- The student shall be liable to pay the differential Programme fees between the two cohorts if any.
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