12–15 Months | Executive Diploma | Dual Specialisations

IIIT Bangalore
Executive Diploma in Machine Learning & Artificial Intelligence

The Executive Diploma in Machine Learning & Artificial Intelligence, offered by IIIT Bangalore in partnership with upGrad, is a comprehensive 12–15 month executive programme designed to prepare learners for advanced careers in Artificial Intelligence, Machine Learning and Data Science. The curriculum combines a personalized Mathematics & Programming Bootcamp, an industry-oriented core curriculum, specialization tracks in MLOps and Generative AI & Agentic AI, and an industry capstone project. Learners gain hands-on experience through 30+ assignments and case studies, 80+ industry tools, cloud technologies, deep learning, large language models, MLOps, Generative AI, Agentic AI and enterprise AI deployment while building an industry-ready portfolio.

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IIIT Bangalore Executive Diploma in Machine Learning & Artificial Intelligence

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University Rankings & Accreditation

IIIT Bangalore — recognition that matters

IIIT Bangalore Executive Diploma

12–15 Months Industry-focused Learning Journey

10,000+ Alumni India's Largest ML & AI Alumni Network

80+ Industry Tools Hands-on Technology Stack

30+ Assignments Industry Case Studies

Dual Specialisations MLOps & Generative AI + Agentic AI

Executive Diploma Issued by IIIT Bangalore

Program Highlights

Everything that matters — at a glance

⏱
Programme Duration
12–15 Months
📋
Programme Type
Executive Diploma
💰
Learning Journey
Phase 0 + Phase I + Phase II + Phase III
💻
Bootcamp
12-Week Mathematics & Programming Bootcamp
🏦
Specialisations
MLOps & Generative AI + Agentic AI
🤝
Industry Tools
80+ Tools, Libraries & Platforms
🌍
Assignments
30+ Industry Assignments & Case Studies
📜
Learning Experience
Outcome-driven with Portfolio Support
🎓
Graduation
On-campus Graduation Ceremony
🏆
Certification
Executive Diploma from IIIT Bangalore

How You Learn Online

UGC-compliant 4-Quadrant learning model — structured for working professionals

Video & E-Tutorial

Animated video lectures, virtual labs, audio content and full transcriptions — available 24/7

E-Content & Resources

Digital study material, e-books, case studies, web references and reading material uploaded weekly

Live Discussion Forum

Weekly live sessions with course coordinators for doubt-clearing and peer interaction

Assessments

Weekly quizzes, assignments, MCQs and project evaluations — structured and timely feedback

Program Curriculum

Industry-aligned, application-based — built for career outcomes

Phase 0 - Mathematics & Programming Bootcamp (12 Weeks)

Sets
Combinatorics
Basics of Probability
Conditional Probability
Descriptive Statistics
Functions
Vector Algebra
Derivatives
Integrals
Coding Environments
Python Fundamentals
Variables
Data Types
Syntax
Conditional Statements
Loops
Functions
Lists
Tuples
Sets
Dictionaries
Introduction to MySQL
Basic SQL Querying
Mathematics & Programming Profiling Test

Phase I - Core Curriculum (30 Weeks | 17 Credits)

Advanced Mathematics for Data Science
Conditional Probability
Probability Distributions
Advanced Linear Algebra
Linear Transformations
Multivariate Calculus
Python Programming
Object-Oriented Programming
GenAI for Coding
Python Data Science Libraries
Database Design
MySQL
SQL Querying
NoSQL Databases
Data Analysis with Python
Exploratory Data Analysis
Inferential Statistics
Hypothesis Testing
Power BI
Tableau
Cloud Computing
AWS
Google Cloud Platform
Microsoft Azure
Big Data Analytics
PySpark
Machine Learning Fundamentals
Linear Regression
Logistic Regression
K-Nearest Neighbours
Regularisation
Hyperparameter Tuning
Decision Trees
Ensemble Learning
Clustering
Artificial Neural Networks
Convolutional Neural Networks
Recurrent Neural Networks
Natural Language Processing
Containerisation
Deployment Fundamentals
Version Control

Phase II - MLOps Specialisation (21 Weeks)

Support Vector Machines
Naive Bayes
Feature Engineering
Model Selection
Dimensionality Reduction
Time Series Analysis
Association Rule Mining
Recommendation Systems
Explainable AI
End-to-End Data Pipelines
AWS Lambda
Google Cloud Functions
Azure Automation
Amazon CloudWatch
Google Cloud Monitoring
Azure Monitor
Feature Stores
Vector Databases
Apache Kafka
Apache Flink
Spark Streaming
Amazon Kinesis
Google Pub/Sub
Azure Event Hubs
Multi-cloud Computing
Advanced CNN
LSTM
GRU
Transfer Learning
Seq2Seq Models
Machine Translation
Transformers
Prompt Engineering
GANs
Variational Autoencoders
Machine Learning Pipelines
ML Model Monitoring
MLflow
Docker
Kubernetes

Phase II - Generative AI & Agentic AI Specialisation (21 Weeks)

Advanced Prompt Engineering
Generative AI System Design
Multimodal Prompting
LangChain
LlamaIndex
LLM Evaluation
AI Ethics
Data Governance
Information Retrieval
Embeddings
Vector Databases
Retrieval-Augmented Generation (RAG)
Agentic AI
Multi-Agent Systems
Large Language Models
LLM Deployment
Advanced Computer Vision
3D Vision
Generative AI Optimisation
Transformers
Attention Mechanisms
Transfer Learning
Advanced Deep Learning
OpenAI APIs
ChatGPT
Claude
Google Gemini

Phase III - Industry Capstone Project

Business Problem Identification
Data Collection
Data Cleaning
Exploratory Data Analysis
Feature Engineering
Machine Learning Model Development
Deep Learning Model Development
Generative AI Integration
Model Evaluation
Hyperparameter Optimization
Model Explainability
Model Deployment
Cloud Deployment
MLOps Pipeline
Performance Monitoring
Business Insights
Project Documentation
Final Presentation
Portfolio Development
Industry Capstone

Career Development

Resume Building
LinkedIn Profile Optimization
GitHub Portfolio
Mock Interviews
Technical Interview Preparation
System Design
Coding Assessments
HR Interview Preparation
Salary Negotiation
Career Mentorship
Networking Sessions
Placement Assistance

4 Specializations

Click any specialization to see fees and key modules

Machine Learning & Artificial Intelligence IIIT Bangalore Included ▼

Total FeeIncluded

Per SemesterIncluded

Zero Cost EMIIncluded

Key Modules:

Machine Learning
Deep Learning
Neural Networks
Computer Vision

MLOps Engineering IIIT Bangalore Included ▼

Total FeeIncluded

Per SemesterIncluded

Zero Cost EMIIncluded

Key Modules:

MLflow
Docker
Kubernetes
Cloud Deployment

Generative AI & Agentic AI IIIT Bangalore Included ▼

Total FeeIncluded

Per SemesterIncluded

Zero Cost EMIIncluded

Key Modules:

Large Language Models
Prompt Engineering
RAG
Agentic AI

Data Science & Analytics IIIT Bangalore Included ▼

Total FeeIncluded

Per SemesterIncluded

Zero Cost EMIIncluded

Key Modules:

Python
Statistics
SQL
Business Intelligence

Fee Structure

Transparent pricing — paid semester-wise with Zero Cost EMI available

Specialization	Per Semester	Total Fee	EMI / Month (6 mo)
Executive Diploma in Machine Learning & Artificial Intelligence	NA	₹3,10,000	Starting at ₹7,375/month

The total programme fee is ₹3,10,000 (inclusive of taxes). Flexible financing options are available with EMIs starting from ₹7,375 per month for eligible learners.

Scholarships Available

Reviewed and approved on a case-by-case basis

Category	Who's Eligible	Scholarship
No Cost EMI	Eligible learners	Available
Education Loan	Available through financing partners	Available
Corporate Sponsorship	Working Professionals	Case Basis

Eligibility Criteria

Simple and transparent — no entrance exam required

🇮🇳 Students with Indian Education

Passed 10 + 2 from a recognised board
Completed undergraduate degree (minimum 3 years)
Aggregate minimum of 50% marks
Final year students can apply with last semester results
Work experience gives added advantage

🌍 Students with Foreign Education

Certificate of Equivalence from AIU (Association of Indian Universities) required
Visit aiu.ac.in for details

Career Opportunities

Roles our graduates step into after completing this program

Machine Learning Engineer

Design, train, optimize and deploy machine learning models for enterprise applications using modern AI frameworks.

Artificial Intelligence Engineer

Develop intelligent AI-powered systems using deep learning, NLP, computer vision and Generative AI technologies.

Data Scientist

Analyze complex datasets, build predictive models and generate actionable business insights through advanced analytics.

MLOps Engineer

Deploy, monitor and manage production-grade machine learning pipelines using Docker, Kubernetes, MLflow and cloud platforms.

Generative AI Engineer

Build enterprise applications powered by Large Language Models, Prompt Engineering, Retrieval-Augmented Generation (RAG) and AI agents.

AI Research Engineer

Research, prototype and implement advanced AI algorithms in areas such as deep learning, transformers and reinforcement learning.

Computer Vision Engineer

Develop image recognition, object detection and vision-based AI systems using CNNs and advanced deep learning techniques.

Natural Language Processing Engineer

Create intelligent language models, chatbots, document processing systems and conversational AI applications.

AI Solutions Architect

Design scalable AI architectures integrating cloud services, MLOps, data engineering and enterprise AI platforms.

Lead AI Engineer

Lead AI teams, architect enterprise machine learning solutions and drive AI innovation across organizations.

Our Hiring Partners

Top companies that recruit our graduates

Microsoft Google Amazon IBM Accenture Deloitte EY PwC Infosys TCS Cognizant Capgemini HCLTech Wipro Oracle SAP NVIDIA Adobe upGrad Hiring Network IIIT Bangalore Alumni Network

Student Testimonials

Real students. Real outcomes.

The programme gave me practical experience across Machine Learning, MLOps and Generative AI through industry-focused projects.

Programme Learner

Executive Diploma in ML & AI

The dual specialization tracks helped me build expertise in both MLOps and Generative AI, making me industry ready.

Working Professional

AI Engineer

The combination of advanced AI concepts, cloud deployment and capstone projects significantly strengthened my technical portfolio.

Programme Participant

Machine Learning Engineer

The curriculum successfully bridges AI theory with enterprise implementation through hands-on projects and industry tools.

Industry Mentor

IIIT Bangalore Executive Diploma

Frequently Asked Questions

Everything you need to know before you apply — answered clearly

What is the Executive Diploma in Machine Learning & Artificial Intelligence? Program

The Executive Diploma in Machine Learning & Artificial Intelligence is a 12–15 month executive programme offered by IIIT Bangalore in partnership with upGrad. It is designed to build expertise in Data Science, Machine Learning, Deep Learning, MLOps, Generative AI and Agentic AI through hands-on projects, dual specializations and industry-oriented learning.

Who can enroll in this programme? Eligibility

The programme is suitable for graduates, software engineers, data analysts, developers, AI enthusiasts and working professionals who want to build advanced skills in Machine Learning, Artificial Intelligence and Data Science.

What is the duration of the programme? Program

The Executive Diploma is delivered over 12–15 months and includes a Mathematics & Programming Bootcamp, core AI curriculum, specialization tracks and an industry capstone project.

How are the classes conducted? Learning

The programme combines live online sessions, recorded lectures, hands-on coding exercises, mentor support, industry assignments, practical projects and self-paced learning resources.

What is covered in the Mathematics & Programming Bootcamp? Curriculum

The bootcamp covers probability, statistics, linear algebra, calculus, Python programming fundamentals, data structures, SQL basics and programming concepts required for advanced AI learning.

Which programming languages and technologies are covered? Curriculum

The curriculum includes Python, SQL, MySQL, NoSQL, PySpark, Power BI, Tableau, Docker, Kubernetes, MLflow, AWS, Microsoft Azure, Google Cloud Platform and modern AI development frameworks.

Does the programme include Machine Learning and Deep Learning? Curriculum

Yes. Learners study supervised learning, unsupervised learning, ensemble learning, neural networks, CNNs, RNNs, transformers, computer vision and natural language processing.

Will I learn MLOps? Curriculum

Yes. The MLOps specialization covers ML pipelines, Docker, Kubernetes, MLflow, cloud deployment, monitoring, feature stores, streaming platforms and production AI systems.

Does the programme include Generative AI? Curriculum

Yes. Learners gain practical experience with Large Language Models (LLMs), Prompt Engineering, OpenAI APIs, ChatGPT, Claude, Gemini, Retrieval-Augmented Generation (RAG) and enterprise Generative AI applications.

What is Agentic AI? Curriculum

Agentic AI focuses on building autonomous AI systems capable of reasoning, planning, memory management, workflow automation and collaboration through multiple intelligent AI agents.

Which Agentic AI frameworks are covered? Curriculum

The programme includes LangChain, LlamaIndex, Prompt Engineering, RAG systems, AI agents and enterprise Generative AI workflows for developing intelligent AI applications.

Are projects included in the programme? Projects

Yes. Learners complete more than 30 industry assignments and case studies along with an end-to-end industry capstone project covering Machine Learning, AI deployment and business problem solving.

What is the industry capstone project? Projects

The capstone project requires learners to build a complete AI solution by performing data preparation, model development, deployment, MLOps implementation, business analysis and final presentation.

Will I receive a diploma after completing the programme? Certification

Yes. Learners who successfully complete the academic requirements receive the Executive Diploma in Machine Learning & Artificial Intelligence from IIIT Bangalore.

Does the programme include career support? Career

Yes. Career services include resume reviews, GitHub portfolio development, LinkedIn profile optimization, mock interviews, mentorship, placement support and access to the upGrad hiring network.

Which career roles can I pursue after completing this diploma? Career

Graduates can pursue roles such as Machine Learning Engineer, AI Engineer, Data Scientist, MLOps Engineer, Generative AI Engineer, AI Research Engineer, Computer Vision Engineer, NLP Engineer, AI Solutions Architect and Lead AI Engineer.

How much is the programme fee? Fees

The total programme fee is ₹3,10,000 (inclusive of taxes). Flexible financing options are available with EMIs starting from ₹7,375 per month for eligible learners.

Does the programme include cloud technologies? Curriculum

Yes. Learners work with AWS, Microsoft Azure, Google Cloud Platform, Docker, Kubernetes, cloud functions, cloud monitoring and enterprise AI deployment technologies.

Why should I choose the IIIT Bangalore Executive Diploma in Machine Learning & Artificial Intelligence? Program

The programme combines Machine Learning, Deep Learning, Data Science, MLOps, Cloud AI, Generative AI, Agentic AI, dual specialization tracks, 80+ industry tools, 30+ assignments, real-world projects and an industry capstone to prepare learners for advanced AI engineering and leadership roles.

Become an Industry-ready Machine Learning & AI Expert

Master Machine Learning, Deep Learning, Data Science, MLOps, Generative AI, Agentic AI, Large Language Models, Cloud AI and Enterprise Deployment through a 12–15 month Executive Diploma featuring dual specializations, 80+ industry tools, 30+ assignments and an industry capstone project.

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