Master of Science in Machine Learning & Artificial Intelligence
A hands-on training programme to make you industry relevant
Leading companies recruit upGrad learners
Professional programme that'll make you industry relevant
Our curriculum focuses on industry-relevant skills
Learn in-demand skills such as Deep Learning, NLP, Reinforcement Learning & work on 12+ industry projects, multiple programming tools & a dissertation
Save your money & time by doing it online
On Campus Fees*
+ 1 years of salary loss
for 18 months
You save Rs. 33L + at least 1 yr of salary
Pay at your own comfort
Start learning from
at 0% interest or Rs. 4,85,000 (incl of tax)
From Rs. 25,555/mo**
at 0% interest for 18 months
at 10% interest for 60 months
Minimum Rs. 25,000
before the program starts
*Lowest EMI option will vary basis loan approvals **A processing fee will be charged on the basis of the payment method selected
We offer career services to ensure you are ready to face the industry
Get mentored by an experienced ML & AI industry expert and receive personalised feedback with 1:1 mentorship sessions.
A dedicated career mentor to help you track your weekly job application targets, coach you on your profile and help you on your career transition journey.
Get company and role-specific preparation with mock interviews.
Gain exclusive access to 100+ job openings from upGrad's hiring partners at any given time on upGrad's Job Opportunities portal.
Solution Lead, Brane Enterprises Pvt. Ltd.
I really appreciate upGrad's online education system and providing valuable certification.
Senior SDE3, Delphix
More than a quest for career transition it was curiosity that drove me to this course. I am still learning but equipped with better tools.
Delivery Manager, Syngenta
upGrad helped me establish communication channels with the Data Science & Data Platforms teams & ensure we worked towards high quality deliveries for my organization.
Software Technical Consultant Parametric Technology Corporation
The upGrad experience of lectures, live sessions, MCQs, individual and group assignments and exams was overwhelming, but rewarding as I covered topic-after-topic.
Data Science Researcher Data Folkz
Having completed my PGDMLAI from IIITB, I started searching for opportunities and it didn't take much time to find one with all the knowledge and skills.
Complete the application process in just a few clicks
Online eligibility test
Get shortlisted & receive offer letter
Confirm your seat
LJMU Machine Learning & AI
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Artificial Intelligence career opportunities have escalated recently due to its surging demands in industries. A career in AI is not only attracting the job-seekers towards it but is witnessing immense growth.
We have compiled a list of promising roles for AI enthusiasts relevant to their technical skills:
Big Data Engineer:
AI engineer salary is quite high when compared to other AI roles. In Spark and Hadoop systems, a big data engineer deals with preparing and establishing a big data environment. One needs to be keen to play with new technical tools and step above the relational database box.
Aspirants must possess insights regarding parallel computing, computer perception, benchmarking, graphical models, and distributed computing. AI courses are surely going to give a tremendous boost to your career in AI as a research scientist.
Job-seekers are required to be equipped with modern tools like Spark, Hadoop, Pig or Hive and be comfortable using programming languages like Python, Scala or SQL. Machine learning courses will help lay the foundation for this role.
You can grab the available AI career opportunities by enrolling in one of these courses. The PG Diploma in Machine Learning and AI offered by upGrad is definitely going to assist you in sharpening your AI skills.
Artificial Intelligence (AI) has been one of the hottest buzzwords in the tech sphere for quite some time now. Read on to know the best job roles in artificial intelligence and the salary range in India:
Artificial Intelligence salary in India for freshers starts at around Rs. 6 LPA and can stretch up to Rs. 12 LPA, with higher-end salaries usually offered by reputed companies like Amazon, Flipkart, Google, Facebook, Deloitte, IBM, Accenture, LinkedIn, Citrix, Verizon, SAP Labs, Nvidia, Tech Mahindra, etc.
As for Machine Learning roles, the starting salary for freshers is generally Rs. 8 LPA, and it can go up to Rs. 10-17 LPA, depending on the skillset and educational background.
AI engineer salary with standard educational qualifications is higher than the one without AI skills. For experts with 4-8 years of experience, the median salary range in this field can be around Rs. 35-50 LPA, and those with over ten years of experience can earn over Rs. 1 crore per annum.
As of now, the shortage of the right talent in the field only means that employers are ready to shell out very high compensation to acquire qualified professionals with AI skills. So, if you aspire to build a promising career in Data Science and AI, the time to take one of the various upGrad AI courses of Data Science, Machine Learning, and Big Data, is now!
As Artificial Intelligence (AI) continues to progress rapidly in 2021, achieving mastery over Machine Learning (ML) is becoming increasingly important for all the players in this field.
So, if you are a beginner, the best thing you can do is work on some Machine Learning projects.
Here are some cool Machine Learning project ideas for beginners-
Stock Prices Predictor: Business organizations and companies today are on the lookout for software that can monitor and analyze the company performance and predict future prices of various stocks.
Sentiment Analyzer: By creating an ML system that could analyze the sentiment behind texts, or a post, it would become so much easier for organizations to understand consumer behaviour.
Movie Ticket Pricing System: With the expansion of OTT platforms like Netflix, Amazon Prime, people prefer to watch content as per their convenience. The rising cost of the theatre ticket (along with the popcorn cost) leaves the cinema hall empty. Build a system that can smartly calculate the theatre ticket pricing depending on the interest of the viewers, social signals and supply-demand factors.
So, only by working with ML tools and ML algorithms can you understand how ML infrastructures work in reality. If you wish to excel in Machine Learning, you must gather hands-on experience with such machine learning projects.