Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based |
Course Overview
The PG Certification in Machine Learning and NLP course by Upgrad is specially designed for the candidates who are interested in learning different aspects of Artificial Intelligence - Machine Learning and Natural Language Processing (NLP). This course will provide a thorough knowledge of Python and how Python is used in data manipulation. You will also learn about supervised and unsupervised learning techniques, hypotheses, and different parts of statistics in this course.
You will earn knowledge and expertise in Machine Learning and NLP, which will help you to solve real-life problems. Also, you will get the opportunity to gain knowledge from experts in the industry.
You’ll earn a certificate from the International Institute of Information Technology, Bangalore after completing this PG Certification in Machine Learning and NLP training. During this course, you’ll be given a minimum of five projects to work on. The course is available completely online. So, it will be easier to do this course without compromising your current study or job. You will get 360-degree career support after completing this course. While doing the course, if you face any technical issues, upGrad team members will help you out. The course can be available through a no-cost EMI option.
The Highlights
- Online certification course
- The duration of this course is 8 months.
- This course offers 360-degree career support.
Important dates
Course Commencement Date
Start Date : 31 Dec, 2024
Programme Offerings
- career support
- Live Projects
- hackathons
- Peer Networking.
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | IIIT Bangalore |
The Upgrad PG Certification in Machine Learning and NLP fee is Rs. 1,50,000. The candidates get a 5,999/month facility to submit the fees to UpGrad.
PG Certification in Machine Learning and NLP Fee Structure
Description | Amount in INR |
Porgramme Fee | Rs. 1,50,000 |
Eligibility Criteria
There are certain eligibility criteria that you should have to start this course.
Candidates must have completed a bachelor's degree from a recognised university. Candidates from any stream can apply for PG Certification in Machine Learning and NLP courses if they have an interest in Machine Learning and Artificial Intelligence. However, candidates must have secured a minimum of fifty percent in aggregate in their bachelor's degree.
Working professionals from the software and data science industry can also do this course to enhance their knowledge of Machine Learning and Natural Language Processing. However, freshers can also apply for this course.
Certification/Qualifying Details
This PG Certification in Machine Learning and NLP training offers two hundred and fifty hours of best-in-class content within seven months. It is recommended that you take twelve hours of class per week. The course offers live projects to work on. It engages the students while they get mentorship from the industry experts. On successful completion, the students are awarded Certification of Completion by IIIT, Bangalore. However, if you score more than 60 percent, there is an opportunity to transition to PG Diploma in ML and AI.
What you will learn
You will learn the following things after completing the Advanced Certificate Programme in Machine Learning and Natural Language Processing.
- Python: It is a high-level programming language used for rapid application development. Its syntax is simple and easy. So, it helps in low-cost programming maintenance. The easy debugging helps in increased productivity. Data Scientists, Web Developers, and other software professionals love this language because of its easy readability. Nowadays, the usage of Python is not limited to the software industry only. Many other sectors are preferring using python-driven analysis to excel spreadsheets. It is the fastest-growing programming language that is used by both startups and big organisations like Netflix, Google, etc.
- Data Analysis: In recent years, companies have become more data-driven than before. Data Analysis is the process of collecting data, analysing it and making predictions on that basis. A decision becomes stronger when data back it. So, the chance of success increases with the usage of data. Companies use data to take different aspects like market research, product research, customer review and many other business decisions. There are multiple phrases like data cleaning, quality analysis, quality measurement in the data analysis process before concluding.
- Inferential Statistics: It is highly used in Data Science. Inferential Statistics is the process through which predictions are made beyond the immediate data available. For example, some data are collected from a single store of Reliance in Kolkata about how many love buying Reliance products. Through Inferential Statistics, this data is used to make predictions about how many people from Kolkata enjoy shopping from Reliance. It is an important part of Business Intelligence. Many organisations use Inferential Statistics to explore the pattern within a large amount of data and predict the future trend.
- Linear and Logistic Regression: Linear Regression is one of the easiest Machine Learning algorithms that are used to solve regression problems. Linear Regression helps to predict the value of continuous variables. Logistics Regression is another popular Machine Learning algorithm that comes under supervised learning techniques. It is used to solve classification problems. Logistic Regression helps to predict the value of categorical variables. Both of them are used to make predictions from a set of data.
- Natural Language Processing: It is the process through which computers learn the language of humans. Natural Language Processing bridges the gap between human communication and the understanding of computers. It is there with us for a long back, and we come to its attachment every day without even realizing it. NLP divides the sentences into smaller parts, understands the meaning of time, and remembers it as a machine-friendly speech. It is an important part of Artificial Intelligence.
You will also learn about many other details of Machine Learning and Natural Language Processing in this course. It will help you to become an expert in this field and have a highly demanding career ahead.
Who it is for
- Anyone after completing a bachelor's degree ( 10+2+3 ) from a recognised university can apply for this PG Certification in Machine Learning and NLP online course. Candidates from any stream can pursue this course, but they have to secure a minimum of 50 percent marks in graduation.
- Working people mainly from Information Technology, Data Science, and other software industry can choose this course if they want to gain in-depth knowledge on Machine Learning and NLP.
Candidates from any industry or freshers can also apply for this course if they want to learn more about on-demand technology skills, and become data analysts, data scientists, hardware developers, computer programmer, and more.
Admission Details
Step 1: For admission to PG Certification in Machine Learning and NLP, you have to visit the official website of upGrad.
Step 2: Next, you have to click on the 'Apply Now' option.
Step 3: If you have a bachelor's degree from a recognised university, you can apply for this course.
Step 4: You need to fill up a few details online and submit them.
Step 5: On successful submission, you will get contacted by call or email from upGrad team.
Application Details
The candidates will have to fill up the application form details like email address, name, city, educational qualification, mobile number, the percentage received in the last degree, and work details if applicable.
After that, you need to submit your application. They also have a toll-free number and live chat facility. If you face any problems filling up the form, you may reach out to them by call or live chat.
The Syllabus
- Introduction to Python
- Python for Data Science
- Data Visualisation in Python
- Data Analysis Using SQL
- Advanced SQL & Best Practices
- Data Analysis in Excel
- Analytics Problem Solving
- Math for Machine Learning
- Exploratory Data Analysis
- Cloud Essentials: Intro to Git and Github
- Inferential Statistics
- Hypothesis Testing
- Lending Club Case Study
- Linear Regression
- Linear Regression assignment
- Logistic Regression
- Naive Bayes
- Model Selection
- Advanced Regression
- Advanced Regression assignment
- Support Vector Machine (Optional)
- Tree Models
- Model Selection - Practical Considerations
- Boosting
- Unsupervised learning: Clustering
- Unsupervised Learning: Principal Component Analysis
- Telecom Churn Case Study
- Lexical Processing
- Syntactic Processing
- Syntactic Processing -Assignment
- Semantic Processing
- Case Study: Classifying customer complaint tickets
Evaluation process
The Advanced Certificate Programme in Machine Learning and Natural Language Processing course is of 250+ hours that is covered within seven months. It is recommended that candidates should learn 12 hours per week. On successful completion of the course, you will earn PG Certification in Machine Learning and NLP Certificate of Completion by IIIT, Bangalore, which is well recognised.
Instructors
IIIT Bangalore Frequently Asked Questions (FAQ's)
Artificial Intelligence is a demanding tech skill in today's time. Machine Learning and NLP are the two important parts of AI. The demand for AI will increase in future as well. So, it is one of the popular and demanding career choices at this time.
As if now, you can apply only online for this course by filling out a few details of yours. However, for the latest update, you ma`y check upGrad's official website.
There are various job opportunities for Machine Learning and NLP experts. Some of them are Data Analyst, Data Scientist, ML Engineer, and NLP Engineer.
Currently, upGrad doesn't have any entrance exam for PG Certification in Machine Learning and NLP course.
Candidates from any educational stream can apply for this course if they have an interest in technology. However, they must have a bachelor's degree with a minimum of 50 per cent marks.