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India's Top AI & ML Program

Ex. Diploma in Machine Learning & AI with MLOps, Gen AI & Agentic AI

    Enroll into India's pioneering Online Machine Learning Program; Learn machine learning the way product companies build, deploy, and scale AI systems.

    Join an alumni network of ML Experts at Google, Walmart, Amazon, Microsoft, Adobe, Salesforce, HSBC, Swiggy, and more.

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Join 10k+ alumni

4.5/5 (7812 ratings)

Secure your spot now!

From Core AI to GenAI: The Full AI Stack Behind It, Not Just Tools or Theory

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From Fundamentals to Modern GenAI Systems

The Only Program with Deep AI Specializations

Recognized Credits for Master’s Degree Progression*

Capstones & Projects Across 12+ Business Domains

Industry-Recognized Microsoft Certification

IIIT-B Executive Alumni Status & IIIT-B Convocation

Designed to Build Industry-Ready Machine Learning Engineers

450+

Hours of Curriculum 

30+

Hands-on Projects 

80+

Industry Tools

Strong Foundations Built from Scratch Master mathematics, programming, and data fundamentals from first principles.

Foundational Bootcamp for Non-Tech Learners A dedicated maths, Python, and SQL bootcamp to smoothly transition into core AI.

End-to-End Machine Learning Core Build, train, and evaluate ML models that power real-world AI systems.

Deep Learning, GenAI & Agentic AI Learn neural networks, transformers, RAG, and agentic systems behind modern AI.

Deep, Credit-Based Specialisations Choose MLOps or GenAI & Agentic AI specializations with production-grade depth.

Capstone with Choice: Your Domain, Your Problem Solve real problems using your industry data or chosen business context.

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Need to know more?

Get all the details you need about the Executive Diploma in Machine Learning & AI, whenever you want them.

Go from AI novice to ML pro in 6 steps

01

2 Weeks of Fundamentals Training

Learn the fundamentals of Data Science, AI, and Machine Learning.

02

Skill Test: Math, Python, SQL

Score 40% and skip to Step 4: the 12-month Executive Diploma. Else move to Step 3.

03

3-Month Complimentary Bootcamp

Get trained in the basics of math and programming needed in Data, AI, and ML.

04

12-Month Executive Diploma

Graduate with your hard earned Executive Diploma in Machine Learning and AI.

05

Career Support Phase

Train for interviews, make a stellar CV, and build your personal brand.

06

Your Dream Career

Start working as an AI/ML Engineer or Go for Master’s degree from LJMU*

Curriculum Designed for Portfolio Building

Advanced Math & Programming

Course 1

5 weeks

4.5 (2780 ratings)


Master core mathematical and programming skills needed to build and deploy data science and machine learning solutions across real-world business scenarios.

Topics covered

Conditional Probability and Probability Distributions

Advanced Linear Algebra and Linear Transformations

Multivariate Calculus

GenAI for Coding and Problem-Solving

Object-Oriented Programming

Python Data Science Libraries

Database Design and SQL Querying

Introduction to NoSQL Databases

Version Control

Skills acquired

Python

MySQL

NumPy

Pandas

Matplotlib

Seaborn

Bokeh

MongoDB

PostgreSQL

Scipy

Data Analysis & Exploration

Course 2

5 weeks

4.5 (2780 ratings)

Explore data patterns and use statistical methods to visualise, interpret, and extract actionable insights that help drive better decision-making.

Topics covered

Data Analysis with Python

Exploratory Data Analysis

Inferential Statistics and Hypothesis Testing

Skills acquired

Python

NumPy

Pandas

Scipy

Matplotlib

Seaborn

Bokeh

Tableau

Power BI

Cloud Computing & Big Data

Course 3

5 weeks

4.5 (2780 ratings)

Move your data processes to the cloud and analyse big data at scale using industry-relevant tools and cloud computing platforms.

Topics covered

Cloud Computing with AWS / GCP / Microsoft Azure

Big Data Analysis with PySpark

Skills acquired

AWS

GCP

Microsoft Azure

PySpark

EMR

EC2

FastAPI

Docker

Kubernetes

Databricks

Foundations of ML

Course 4

5 weeks

4.5 (2780 ratings)

Understand how mathematics powers machine learning, and implement classification, regression, and clustering models to predict metrics and discover insights.

Topics covered

Machine Learning Paradigms

Linear and Logistic Regression

K Nearest Neighbors

Regularisation and Hyperparameter Tuning

Decision Trees and Ensembles

Clustering Models

Skills acquired

Python

StatsModels

Sklearn

Deep Learning & NLP

Course 5

5 weeks

4.5 (2780 ratings)

Advance your ML skills by working with deep neural networks and applying machine learning and deep learning techniques in natural language processing.

Topics covered

Deep Learning Fundamentals

Convolutional and Recurrent Neural Networks

Lexical / Syntactic / Semantic Processing

Skills acquired

Python

TensorFlow

Keras

PyTorch

NLTK

Gensim

Spacy

MLOps

Specialization

6

16 weeks

Specialize as a machine learning engineer by mastering advanced ML and deep learning technologies, deploying large models at scale to transform business operations permanently.

Topics covered

Support Vector Machines

Naive Bayes

Feature Engineering and Model Selection

Dimensionality Reduction

Time Series Analysis

Association Rule Mining

Recommendation Systems

Explainable AI

Advanced CNN Architectures

LSTMs and GRUs

Transfer Learning Techniques

Encoder-Decoder Architectures and Seq2Seq

Machine Translation

Attention Mechanisms and Transformers

Fundamentals of Generative AI and Prompt Engineering

Computer Vision

Variational Autoencoders

Generative Adversarial Networks

Data and Model Security Principles

End-to-End Data Pipelining Fundamentals

Pipeline Automation with AWS Lambda

GCP Functions and Azure Automation

Data Monitoring with Amazon CloudWatch

Google Cloud Monitoring and Azure Monitor

Feature Stores and Vector Databases

Real-Time Processing with Flink and Kafka

Real-Time Analytics with Spark Streaming

Real-Time Analytics with Amazon Kinesis

Google Cloud Pub/Sub and DataFlow

Azure Stream Analytics and Event Hubs

Multicloud and Hybrid Cloud Operating Principles

Scala

Data Build Tool (DBT)

Azure Data Factory

Model Pipelining Principles

Scheduling and Triggers

Parallel Model Training and Real-Time Model Serving

Data Versioning and Model Versioning

Model Monitoring and System Design

Skills acquired

Python

Statsmodels

Sklearn

Eli5

Featuretools

Mlxtend

FB Prophet

Tableau

Excel

Power BI

Gen AI & Agentic AI

Specialization

7

16 weeks

Become an AI specialist by mastering ML principles and in-demand generative AI tools and technologies.

Topics covered

Support Vector Machines

Naive Bayes

Feature Engineering and Model Selection

Dimensionality Reduction

Time Series Analysis

Association Rule Mining

Recommendation Systems

Explainable AI

Advanced CNN Architectures

LSTMs and GRUs

Transfer Learning Techniques

Encoder-Decoder Architectures and Seq2Seq

Machine Translation

Attention Mechanisms and Transformers

Fundamentals of Generative AI and Prompt Engineering

Computer Vision

Variational Autoencoders

Generative Adversarial Networks

Data and Model Security Principles

Advanced Prompt Engineering and GenAI System Design

Prompting Multimodal Models

LLM Frameworks such as LangChain and LLaMa Index

LLM Evaluation Methods

Data Security and Governance

AI Ethics

Information Retrieval Principles

Embeddings and Vector Databases

Retrieval-Augmented Generation (RAG) and RAG Architectures

Agentic Systems and Multi-Agent Systems

Advanced Multimodal GenAI Models

LLM Deployment

Advanced Computer Vision and 3D Vision

GenAI Optimisations

AI Ethics

Building an LLM from End-to-End

Skills acquired

AWS

GCP

Microsoft Azure

Hadoop

Hadoop MapReduce

HBase

Hive

Sqoop

Flume

Amazon Aurora

Master 80+ Essential Industry Tools

Python

Python

Pandas

Pandas

Sklearn

Sklearn

Statsmodels

Statsmodels

MySQL

MySQL

AWS

AWS

GCP

GCP

 Azure

Azure

PySpark

PySpark

PyTorch

PyTorch

Keras

Keras

OpenAI

OpenAI

GPT

GPT

LlamaIndex

LlamaIndex

Claude

Claude

CrewAI

CrewAI

LangGraph

LangGraph

Autogen

Autogen

Power BI

Power BI

Tableau

Tableau

 MongoDB

MongoDB

 Docker

Docker

Kubernetes

Kubernetes

Streamlit

Streamlit

Airflow

Airflow

MLFlow

MLFlow

Kafka

Kafka

Specializations: Built to Create Real AI Engineers

For those who want to design intelligent, autonomous AI systems

    GenAI system design beyond prompt engineering

    Retrieval-Augmented Generation (RAG) architectures

    LLM frameworks, embeddings & vector databases

    Agentic AI & multi-agent systems

12-Week Foundations Bootcamp

Build strong essentials with our complimentary fundamentals bootcamp (can be skipped by passing a short test)

Linear algebra essentials

Calculus basics for ML

Core data structures

Writing clean, readable code

Data extraction for analysis

Preparing data for ML models

50+

Hours

Earn valuable credentials and recognition

National and International Accreditation

WES recognised, equivalent to 1-year Executive Diploma in Machine Learning and Artificial Intelligence

Prestigious Credentials

NAAC A+ accreditation (2021), NIRF rank 74 (2024), Curriculum equivalent to NSQF level 8

Lifetime Alumni Status

Join an alumni network of over 10,000 professionals, with many in key technical leadership roles

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Build a Strong AI Portfolio Across Industries

Work on solving real world data challenges from top brands

30+

Projects to choose from

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What Will You Build?

See the practical work that has helped our learners land roles at top companies

Choose Your Capstone Project

Bring Your Employer's Business Problem

    Go back and impress your boss and colleagues with the ML & AI solutions you come up with.

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Graduation Ceremony: Culmination at the IIIT Bangalore Campus

1

Graduation

Certificate conferred by IIIT Bangalore leadership

Interact with the professors who taught you

On-campus academic recognition with your cohort

Join the IIIT Bangalore Executive Alumni network

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Who will you learn from?

4

Instructors

6

Industry Experts

IIIT Bangalore

The birth of IIIT-B coincided with the IT revolution in India - it has since produced alumni who have gone on to lead in top companies or start their own successful ventures. It is graded A+ by the National Assessment and Accreditation Council (NAAC), ranked among the top 100 institutes in NIRF, and consistently ranked among the top 10 Indian Technical Universities (Private) by India Today.

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We will be there right through your learning journey

Hands-on learning

    Videos from top faculty and world-class industry experts

    Built-in practice and coding console

    Industry-oriented projects for real DS & ML exposure

    Live interventions from faculty and industry experts

    Real time doubt clearing sessions

Different Journeys, Limitless Futures

Find upGrad alumni profiles and know more about their career path, specialisation and more!

What Our Learners Have To Say

4.5

7812 Ratings

π Professional pack for dual specialisations

In just 3 more months you can earn an additional specialisation across both Data Science & Machine learning

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π Professional Pack:Why stop at 1 Specialisation?

In just 3 more months become a π-shaped professional.

The technology sector has evolved. Traditional T-shaped single-specialty roles create bottlenecks, slow project velocity, and leave critical knowledge gaps. Today's employers need π-shaped professionals - someone with two deep, complementary specialisations while maintaining broad knowledge across domains, who can own entire project lifecycles.

Aspect

T-Shaped Professional

π-Shaped Professional

Skill Depth

One single area of expertise

Dual in-depth specializations

Strengths

Strong in one vertical; good for focused, specialised roles.

Strong in two verticals; faster execution, reduced friction, fewer knowledge gaps.

Limitations

Slower project velocity due to silos and handoffs

High-intensity, high-compensation roles

Career Relevance

Valuable for roles needing focused expertise

Growing demand in data & AI, where end-to-end ownership and multi-domain expertise are critical

π Professional pack for dual specialisations

Why Gen AI & Agentic AI + MLOps?

    Enables end-to-end ownership of Gen AI models from fine-tuning to deployment, monitoring, and safety. This pairing creates a professional who can not only innovate but also reliably deliver and manage that innovation.

Executive Diploma in AI and ML Course Fees

Invest In Your Success

12 Months
Starting at
INR 8,125/month
Totally INR 3,40,000*Incl. Taxes

Inclusions

Pay INR 15,000 and block your seat Now!
View Plans
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How To Apply

The Executive Diploma in Machine Learning and Artificial Intelligence admissions process is easy and can be done entirely online.

Eligibility

Bachelors or Master’s Degree or its equivalent in any discipline with minimum 50% aggregate mark or equivalent CGPA. 

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Refer and Earn Rewards
Refer a friend to earn cashback / vouchers up to INR 80,000. Your friend also gets an instant scholarship/ free course!
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Executive Diploma in Machine Learning and AI - 2 Specializations

Customize your learning journey with the Executive Diploma in AI and ML from IIIT Bangalore by selecting one of two in-demand specializations. Whether your goal is to excel in MLOps or lead in Generative AI, this Executive Diploma in Machine Learning and AI equips you with the skills to thrive in top AI roles.

Specialization Tracks in the Executive Diploma AI ML Program

1. MLOps – Automate and Scale AI Pipelines

This specialization within the Executive Diploma Programme in Machine Learning & AI is ideal for professionals looking to build, manage, and scale AI workflows.

Key Highlights:

  • Gain hands-on expertise in MLflow, Airflow, and CI/CD for AI
  • Learn to deploy, monitor, and manage ML models in production
  • Prepare for roles such as MLOps Engineer, AI Infrastructure Specialist, or ML Engineer

Recommended for learners seeking an Executive Diploma in AI and Machine Learning focused on operational excellence.

2. Generative AI – Build Intelligent AI-Driven Applications

Dive into the future of AI with a specialization that focuses on LLMs and Generative AI tools. This track in the AI ML Diploma Program includes:

Key Highlights:

  • Training in prompt engineering, LangChain, LlamaIndex, and various LLM APIs
  • Develop scalable GenAI applications for content, chatbots, and intelligent search
  • Ideal for roles such as Generative AI Engineer, LLM Developer, or AI Product Innovator

A strategic choice for professionals exploring Executive Diploma courses in AI and ML with a focus on emerging technologies.

Projects & case studies with the Executive Diploma in ML & AI

The Executive Diploma in Machine Learning and AI is built around applied learning. You’ll work on 80+ real-world case studies and 12+ capstone projects, all curated to simulate industry challenges. This hands-on approach ensures that your Executive Diploma AI ML journey is both practical and career-relevant.

Here’s a glimpse of the kind of projects you'll work on in this ED in ML and AI:

  • GenAI & LLM Projects
    • Customer Sentiment Analysis: Use GenAI to analyze Amazon and ChatGPT reviews to identify patterns and drive product improvement.
    • RAG Applications: Build Retrieval-Augmented Generation systems to convert long documents—like municipal transcripts or legal archives—into structured, actionable intelligence.
  • Predictive Modeling & Analytics
    • Energy & Logistics Forecasting: Apply linear regression to predict household energy usage or optimize delivery times for logistics firms.
    • NYC Taxi & Beer Data Analysis: Perform exploratory analysis to enhance fleet efficiency or streamline brewery operations.
  • SQL & Business Intelligence
    • Spotify & Insurance Analytics: Use advanced SQL to uncover insights from streaming and insurance datasets.
    • Snapdeal App Review Analysis: Translate app feedback into business requirements for product improvement.
  • Big Data & Real-Time Systems
    • Customer Engagement with PySpark: Analyze Mercari listings or user behavior at scale using distributed computing tools.
    • Real-Time Dashboards: Create real-time analytics pipelines for e-commerce or patient health monitoring using Kafka and AWS Kinesis.
  • Deep Learning Applications
    • Stock Price Prediction: Forecast market trends for companies like Microsoft and Amazon using RNNs.
      e-commerce
    • Climate Trend Analysis: Predict weather parameters in Morocco using historical sensor data and deep learning models.

These industry-relevant projects make the Executive Diploma in AI and ML Online more than just a credential—they transform it into proof of your ability to solve real business problems using AI.

Why should you choose IIITB?

Choose IIIT Bangalore for its globally recognized faculty, cutting-edge AI & ML research, and a strong legacy of producing industry-ready professionals.

1. Premier Institute with a Strong Legacy:

  • Established in 1998, IIITB is a top-tier institution known for its interdisciplinary approach, blending technology with social sciences.
  • Supported by the Government of Karnataka and industry leaders, the institute fosters academic and industrial collaborations.
  • Its merit-based selection process ensures that only the brightest minds join its programs, making it a preferred choice for professionals pursuing an Executive Diploma in AI and Machine Learning.

2. Global Alumni Network:

  • IIITB has produced over 3,500 graduates, many of whom hold leadership roles in top IT firms globally.
  • This extensive alumni network provides mentorship and collaboration opportunities, giving students of the Executive Diploma in AI and Machine Learning a competitive edge. Graduates of IIITB’s AI ED courses are well-prepared for industry challenges, thanks to the institute’s strong industry ties.

3. Focus on AI and ML Research:

  • Recognized for its excellence in Artificial Intelligence and Machine Learning, IIITB has a dedicated research ecosystem that drives innovation in these fields.
  • Its expert faculty and advanced infrastructure create an ideal environment for students enrolled in its AI and ML certification programs.
  • Those pursuing an Executive Diploma in AI and ML at IIITB benefit from hands-on learning and cutting-edge research opportunities.

4. Ranked Among India’s Best:

  • IIITB is ranked 74th in the NIRF Engineering category (2024), solidifying its position as one of India’s top institutes.
  • This ranking reflects its commitment to academic excellence and high-quality research.
  • For those considering IIIT courses in AI and ML, IIITB stands out as a premium destination for advanced learning.

If you're looking to advance your career with a globally recognized executive diploma in AI and Machine Learning, IIITB offers the expertise, industry connections, and research-driven curriculum to help you succeed.

Why Executive Diploma in Machine Learning and AI from IIIT-B?

The Executive Diploma in Machine Learning and AI offered by the International Institute of Information Technology, Bangalore (IIITB) is meticulously crafted to address the dynamic and evolving needs of today’s industry.

This program delivers a hands-on, industry-aligned curriculum, making it an ideal choice for professionals seeking to advance their careers through an Executive Diploma in ML and AI.

Cutting-Edge Curriculum:

The Executive Diploma in Machine Learning & AI at IIITB delivers the latest advancements in AI and ML, blending deep theoretical knowledge with practical expertise. This program emphasizes real-world applications through AI and ML certification projects, preparing you for high-growth roles in the industry.

Learn from distinguished IIITB faculty, including Dr. Debabrata Das (Director), Chandrashekhar Ramanathan (Dean of Academics), and Prof. Tricha Anjali (Ex-Associate Dean), who bring unparalleled academic rigor and industry insights. This makes IIIT Bangalore a top choice for professionals exploring AI PG courses or IIIT courses in advanced technology.

Practical Learning Approach

  • 80+ Real-World Case Studies: Tackle AI and ML challenges across diverse industries to sharpen your problem-solving skills.
  • 12+ Capstone Projects: Build a compelling portfolio with hands-on projects that showcase your AI and ML expertise.
  • Golden Learning Ratio: Experience the perfect balance of mathematics, technical skills, and business strategy.
  • Complimentary Waivable Prerequisite Course: A two-month bootcamp prepares beginners with essential programming foundations, ensuring success in the Executive Diploma in AI and ML.

For professionals seeking a program in AI and ML that combines academic excellence, industry relevance, and immersive learning, IIIT Bangalore’s Executive Diploma is the definitive platform to accelerate your career.

Why choose online learning for AI and Machine Learning Certification?

Balancing work and education can be challenging, but the Executive Diploma in ML & AI at IIITB is designed to make learning easily accessible. This AI course allows working professionals to enhance their expertise in AI and ML from any location, ensuring a seamless and flexible learning experience.

Cost-Effectiveness with Maximum Impact

Pursuing an Executive Diploma in AI and Machine Learning online offers a cost-effective alternative to traditional education, helping students gain valuable AI and ML certification without financial strain.

  • Approximately 60% reduction in costs compared to traditional in-person educational settings.
  • An average savings range from $10,000 to $15,000 per course, allowing for a greater investment in other life necessities.

The elimination of additional expenses associated with commuting and accommodation makes education more accessible to everyone.

Flexibility Tailored for Working Professionals

The Executive Diploma in ML & AI program is structured to accommodate professionals juggling work and education:

  • Students typically commit an average of 8 to 10 hours per week to their studies, allowing for a manageable balance between work, life, and education.
  • Learners benefit from 24/7 access to a wealth of learning materials, enabling them to study at their convenience, regardless of time zones.

Learn from Industry Leaders

The Executive Diploma in ML & AI offers expert-led instruction, ensuring top-tier education:

  • Online courses feature instructors affiliated with prestigious institutions, bringing credibility and expertise to the virtual classroom.
  • Additionally, courses are taught by seasoned industry practitioners from top tech companies, providing insights directly from professionals who are shaping the field.

FAQs: Executive Diploma in ML & AI

1Is a career in AI and ML a good choice?

Absolutely! AI and ML are revolutionizing industries worldwide, making careers in these fields highly rewarding and impactful. Professionals work with cutting-edge technologies and global brands, driving innovation in predictive analytics, autonomous systems, and generative AI.

2What is the average salary for professionals in AI and ML?

  • Average Machine Learning Engineer Salary in India: INR 10L/year
  • Entry-Level: INR 4-10/year
  • Early Career: INR 5-11/year
  • Mid-Career: INR 8-18/year
  • Experienced: INR 15-21/year

Source: Glassdoor

3How long does it take to complete the program?

The Executive Diploma in Machine Learning and AI from IIIT Bangalore typically takes 12 months. It balances theoretical knowledge with hands-on experience, ideal for working professionals seeking to upskill quickly.

4What are the key specializations in the program?

  • MLOps: Focuses on designing and automating machine learning pipelines for scalability and efficiency. Learn tools like MLflow and Airflow for workflow management, model deployment, and continuous integration.
  • Generative AI: Covers advanced AI concepts like prompt engineering and developing applications using LLMs, OpenAI APIs, and LangChain.

5What type of learning experience can I expect?

The program combines recorded concept videos with live interactive lectures from IIIT Bangalore faculty. You’ll engage in:

  • Real-world projects
  • Peer learning through collaborative exercises.
  • Practical problem-solving using tools like TensorFlow, PyTorch, and Scikit-learn.

6What makes the Executive Diploma in Machine Learning and AI from IIIT Bangalore unique?

  • Globally recognized credentials from a top-tier institute.
  • Industry-relevant curriculum, including generative AI and MLOps.
  • Hands-on projects in healthcare, finance, and more.

7How long will my Microsoft Copilot license remain active if I enroll in the program?

Microsoft Copilot licenses provided with this program will remain active until 31st October 2025, after which access will automatically expire. 

8How difficult is the Executive Diploma in Machine Learning and AI?

The program is designed for learners from diverse backgrounds. While it requires foundational knowledge in mathematics and programming, it offers beginner-friendly modules and mentorship to help even non-technical learners succeed.

9Can an average student excel in AI and ML?

Yes! With determination and an analytical mindset, anyone can succeed. Preparatory modules, including Python boot camps and data analysis basics, ensure that learners from non-technical or non-engineering backgrounds can thrive.

10Will the specializations require additional time?

A two-month programming bootcamp is mandatory for beginners. It provides essential foundational skills required for the course.

11Which banks allow using 0% Credit card EMI or Credit card EMI?

No-cost EMI is available on credit cards from all major banks (American Express, Bank of Baroda, HDFC Bank, ICICI Bank, IndusInd Bank, Kotak Mahindra Bank, RBL Bank, Standard Chartered, Axis Bank, Yes Bank and State Bank of India)

12Can I Pay Using Multiple Credit Cards?

Multiple cards can be used to complete the payments using the Part payment option. Make sure to inform the learner that the minimum transaction is INR 50,000 to opt for 0% CC EMI, e.g., the amount to be paid is 1,50,000. 

I can pay using 2 Credit cards. Yes, Example:

  • HDFC Card – Part payment – INR 1,00,000
  • ICICI Card – Part payment – INR 50,000

13How do I get selected for the Program?

Fill out the application with basic details. Post reviewing, you’ll receive an Offer Letter from Upgrad.

14What is the refund policy for the Executive Diploma in Machine Learning and AI - IIIT B program?

You may request a refund at any time before the Cohort Commencement Date by visiting www.upgrad.com and submitting your refund form through the “My Application” section under your profile. A processing fee of ₹10,000 will be charged. Please note that once the program commences, no refund request will be considered, and any amount paid by the student will not be refunded. For detailed terms and conditions regarding the Program and the refund policy, please refer to your Program Offer letter before enrolling.

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Disclaimer

  1. The above statistics depend on various factors and individual results may vary. Past performance is no guarantee of future results.

  2. The student assumes full responsibility for all expenses associated with visas, travel, & related costs. upGrad does not .