For working professionals
For fresh graduates
More
Enroll into India's pioneering Online Machine Learning Program; learn from the latest 2025 curriculum.
Join an alumni network of ML Experts at Amazon, HSBC, ICICI, Kotak, Microsoft, Jio Digital, Lenskart, Swiggy, and more.

4.5/5 (7812 ratings)
Secure your spot now!
Custom-made for every domain
Choose from two specialization tracks, based on your background or career goals
Future-ready curriculum: Real-time ML pipelines, multi-cloud (AWS, GCP, Azure), CI/CD, Kafka, PySpark, LLMOps with Chroma & Milvus.
Upgraded tools: Kubernetes, FastAPI, MLflow, SageMaker.
Industry projects: 12+ hands-on projects across 6+ domains.
Who will you learn from?
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

π Professional pack for dual specialisations
In just 3 more months you can earn an additional specialisation across both Data Science & Machine learning
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.

In this exclusive, hands-on immersion led by Microsoft experts, you’ll master advanced AI-powered collaboration & automation tools, build muscle memory with real-world Microsoft applications, gain insider strategies directly from the creators of the technology.

We will be there right through your learning journey
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
What Our Learners Have To Say
4.5
7812 Ratings
π Professional pack for dual specialisations
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.
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.
The above statistics depend on various factors and individual results may vary. Past performance is no guarantee of future results.
The student assumes full responsibility for all expenses associated with visas, travel, & related costs. upGrad does not .
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

Experience an all-new 2025 curriculum
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
GenAI
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
Pandas
Sklearn
Statsmodels
MySQL
AWS
GCP
Azure
PySpark
PyTorch
Keras
OpenAI
GPT
LlamaIndex
Claude
CrewAI
LangGraph
Autogen
Power BI
Tableau
MongoDB
Docker
Kubernetes
Streamlit
Airflow
MLFlow
Kafka
Programming Fundamentals
Build strong essentials with our complimentary fundamentals bootcamp (can be skipped by passing a short test)
Basics of Probability
Conditional Probability
Descriptive Statistics
Functions
Vector Algebra
Derivatives
Integrals
Data Types
Syntax
Conditionals
Loops
Functions
Lists
Sets
Tuples
Dictionaries
Introduction to MySQL
Basic SQL Querying
50+
Hours
Learn by doing projects across domains
Work on solving real world data challenges from top brands
30+
Projects to choose from
What Will You Build?
See the practical work that has helped our learners land roles at top companies
Choose Your Capstone Project
1
Bring Your Employer's Business Problem
Go back and impress your boss and colleagues with the ML & AI solutions you come up with.
2
Bring a Future Employer's Business Problem
Show it off with your ML and AI solutions when you interview with your dream companies.
3
Choose a Problem From Your Domain
Pick 1 from over 12 domains and solve for classic and constant industry challenges using Machine Learning and AI.

Different Journeys, Limitless Futures
Find upGrad alumni profiles and know more about their career path, specialisation and more!
Why is our program the best in the market?
Breadth and Depth of Curriculum
Focused Bootcamp for Beginners
Gen AI infusion
Specialisations
Projects
Capstone Projects
Alumni Network and Legacy
Hands-On Learning
Faculty and Mentorship
upGrad
All core ML & AI: NN, NLP, CV, MLOps, DL
3-month math and coding bootcamp for beginners
GenAI concepts including DL for GenAI and practical applications
Tracks in MLOps and GenAI with real-world relevance
Two industry-ready paths with complete project coverage
Learner-led capstones with cutting-edge problem statements
India’s largest AI/ML program with 10K+ learners & global alumni
60+ case studies, 25+ projects, 12+ real-world capstones
Learn from IIIT-B faculty
Other Courses
Only basics or niche topics, missing advanced ML & GenAI
No structured beginner support
GenAI only lightly touched, lacking real-world focus
Limited tracks; lacks depth in MLOps and advanced AI
Few project options; limited exposure to real-world challenges
Limited and fixed project options
Smaller, platform-specific community
Mostly pre-built datasets, limited real-world work
Platform tutors, minimal academic involvement
Invest In Your Success
Inclusions
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.
Talk to our experts. We are available 7 days a week, 10 AM to 7 PM
Indian Nationals
Foreign Nationals