Industry Mentors
Receive unparalleled guidance from Industry mentors, teaching assistants and graders.
Learn in-demand skills such as ChatGPT, Dall-E, Midjourney, Graph Neural Network (GNN), Generative Adversarial Networks (GANs), Machine Learning, Deep Learning, Natural Language Processing (NLP), MLOps, Computer Vision, Transformers, BERT, and more. The program covers over 20 programming tools, languages and libraries.
..... Read more45+ Live Learning Sessions
600+ Hours of Learning
6 Practical Capstone Projects
15+ Case Studies and Assignments
1:1 Career Mentorship Sessions
Personalized Industry Session
IIIT Bangalore Alumni Status
Exclusive Job Opportunities Portal
Daily Doubt Resolution Support
Career Bootcamp and Hackathons
Ready to get started?
Receive unparalleled guidance from Industry mentors, teaching assistants and graders.
Dedicated Student Support Available
Personalized feedback on assignments and projects, regular live sessions by experts to clarify doubts.
Timely doubt resolution by Industry experts, 100% verified responses to ensure quality learning.
Get mentored by an industry expert and receive personalized feedback for your career journey
Gain exclusive access to upGrad's Job Opportunities portal and gain an edge in the application proces
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Case Study: Classifying Customer Complaint Tickets
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MLOps: Data Lifecycle
MLOps: Model Lifecycle
Advanced CV
MLOps + Deployment: DL (Theory)
MLOps + Deployment: DL (Assignnment)
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MLOps: Data Lifecycle
MLOps: Model Lifecycle
Advanced NLP
MLOps + Deployment: NLP (Theory)
MLOps + Deployment: NLP (Assignnment)
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MLOps: Data Lifecycle
MLOps: Model Lifecycle
. AI Stratergy Framework, Structured problem solving/Data Storytelling
. Mapping ML with Data Architecture Strategy
. Executive AI Strategy
. AI Strategy: Assignment
This programme is for you if you are a:
Data Scientist or Senior Data Analyst: If you are comfortable with data wrangling, have implemented statistical or machine learning models in the past, or if you have any prior experience as a working professional. You should also have some experience with R/Python/Scala.
Statistician: If you received formal education in statistics or mathematics or if you have any prior working experience.
Data Engineer/Big Data Engineer: If you have any prior experience in creating data pipelines/handling data warehouses and you have created ETL procedures. In addition, you should be familiar with various frameworks and tools like Hadoop and Spark.
Software Developer: If you have prior experience on creating and deploying software/apps, you are comfortable with object-oriented programming and know C/C++/Java/Python or a similar language.
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.
Post completion of the programme, an Executive Post Graduate Programme in Machine Learning and AI will be granted from IIIT Bangalore.
The Executive PG programme in Machine Learning & AI is ideally suited for individuals who have a strong interest and want to deep dive into data analysis, machine learning, and Generative AI, and aspire to pursue a rewarding career in these fields. This program is suitable for graduates seeking to enhance their knowledge and skills in data science, as well as professionals looking to transition into the rapidly growing in these fields.
Yes. Bachelor’s Degree with minimum 50% marks with 1 yr technical expeirence required.
The admissions process is completely online. The following are the key steps in the application process:
Step 1 - Fill Application form
Step 2 - Give 40mn aptitude test and get shortlisted
Step 3 - Once shortlisted, upon receiving the Offer letter, block your seat by 25,000
Post successful completion of this program, you will get a Executive Post Graduate certificate in Machine Learning & AI
You will need to spend 12-15+ hrs/week to get optimum results and learn.
Overall, this program will have video content broken down into small easy-to-complete segments that you can watch on the go-across devices. The remaining hours of engagement will be a mix of industry projects, live instructor sessions, mentoring sessions and online and offline meetups.
The curriculum is developed by the best Faculty Members from IIITB with special inputs from industry experts, which makes it extremely relevant to working professionals.
Along with it, our Support Services, Career Assistance, and Live Sessions make it a classroom experience, which no one else in the market can offer.
Our programs have a strong experiential component that will prepare you to apply your learning on the job. Learn - Experience - Apply. Case Studies and industry projects will help you to experience real-life challenges in Management. These will enable you to step into the shoes of leading managers at companies and put to use the theoretical learning in an experiential manner. Post this programme, these will serve as a portfolio of projects you can illustrate to advance your career.
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. Additionally, an upGrad buddy will enhance the learners’ experience by engaging with them to ensure they are on track with upcoming deadlines, submissions, offer guidance, and resolve their non-academic queries. Extensive academic support through the Discussion Forum, weekly TA-Sessions. Just like in a university, your batchmates will help you with any academic queries. This will happen via the Discussion Forum. Other than your peers, you also have TAs (Teaching Associates) for any academic query. Your academic queries will be solved by the Faculty and TAs in 36-48 hours
You need to pay ₹ 25,000 to block your seat.
Refund Policy: (Programmes with prep-session component)
1st Deferral (pre or post programme commencement) is free for all enrolled students with the following conditions:
2nd Deferral Policy: (Post Programme Commencement)
2nd Deferral Policy: (Pre Programme Commencement)