Executive Diploma in Machine Learning & AI

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UGC-entitled
AICTE Approved
Executive Diploma in Machine Learning & AI
Executive Diploma in Machine Learning & AI

About IIIT Bangalore Executive Diploma in ML & AI

IIIT Bangalore offers an Executive Diploma in Machine Learning & AI in collaboration with Upgrad. The duration of the program is 12 to 15 months. The program is designed to prepare professionals for advanced machine learning and data science roles.

The program helps students learn NLP, Deep Learning, Classification Algorithms, Reinforcement Learning, Graphical Models and Deployment Models. Graduates become well-rounded data scientists and AI professionals with advanced knowledge of mathematics, expertise in relevant tools & languages and understanding of cutting-edge algorithms and applications.

The institute provides students a chance to earn an extra certificate with just another specialisation across both data science and machine learning. Students of this program receive career support, including a resume builder, professional profile enhancement, mock interviews, and 6 months of continuous support after completing the program.

Updated Course Fee 2026

The Executive Diploma in Machine Learning & AI program fee at IIIT Bangalore reflects quality education at an affordable rate without any financial burden. The updated fee structure ensures transparency and helps applicants to plan their finances accordingly.

Total Tuition Fee

₹ 3,40,000/-

Note: The above mentioned course fee may further vary as per specialisations.

IIIT Bangalore Approvals

IIIT Bangalore maintains strong collaborations with academia and industry, ensuring high standards in technology education and research. These recognitions enhance the credibility and quality of its programs. Following authorities recognised the institute:

UGC-entitled

UGC-entitled

AICTE Approved

AICTE Approved

IIIT Bangalore Online Rankings

Secured 69th Position among top engineering institutions by NIRF 2025.
IIRF ranked IIIT Bangalore 10th among 173 B.Tech colleges in India in 2024.

IIIT Bangalore Executive Diploma in ML & AI: Eligibility

Educational Qualification

Applicants are required to have a bachelor's, master's degree or its equivalent in any discipline from a recognised university.

Grades

Students must have scored at least 50% marks or equivalent CGPA in PG/UG to apply for this online program.

Work Experience

The university requires at least 2 years of prior work experience for this course.

IIIT Bangalore Executive Diploma in ML & AI Curriculum

IIIT Bangalore Sample Certificate

Graduates will receive a well-established online diploma from IIIT Bangalore.
An additional industry certificate issued by Microsoft in association with upGrad will be offered.
Certificate Frame
Certificate
Click to view

Skills you will gain from an Executive Diploma in ML & AI

The Executive Diploma in Machine Learning & AI by IIIT Bangalore equips professionals to develop practical and advanced concepts of data science, machine learning, and artificial intelligence. These skills prepare students for leadership roles across industries.

Skills You Will Gain
Online Learning

Data analysis and visualisation with BI tools.

Online Learning

Python and SQL for data science.

Online Learning

Machine learning model development and evaluation.

Online Learning

Deep learning and natural language processing.

Online Learning

Big data processing and cloud computing.

Online Learning

Generative AI and prompt engineering fundamentals.

Examination Pattern of Online IIIT Bangalore

IIIT Bangalore follows a well-structured examination system with proctored assessments. Student evaluation includes both internal assessments and an external exam to ensure fair and balanced grading.

40%

Basic Mathematics

Basic Mathematics

This section evaluates students on fundamental mathematics concepts and carries 40% of the total marks. Students must score at least 25 marks to qualify.

60%

Basic Programming

Basic Programming

This section tests students on basic programming knowledge and contributes 60% of the total marks. A minimum of 35 marks is required to qualify.

Financial Aid offered by IIIT Bangalore

The institute provides scholarships and financial assistance to support eligible students. The institute offers merit-based and need-based scholarships. Merit-based scholarships are granted based on academic performance, research publications, and scholarly achievements, while need-based scholarships are provided to students based on their financial circumstances. Additionally, to support PWD students in its new PG program, IIITB has partnered with EnAble India.

Executive Diploma in ML & AI: Career Opportunities

The Executive Diploma in Machine Learning & AI from IIIT Bangalore helps students build strong expertise in data science, machine learning, and artificial intelligence. The program equips you with industry-relevant skills and practical knowledge, enabling you to confidently pursue advanced careers.

Job RolesAnnual Average Salary
Machine Learning Engineer
INR 10,00,000 – 15,00,000
AI Engineer
INR 10,00,000 – 15,00,000
NLP Engineer
INR 8,00,000 – 13,00,000
Business Intelligence Analyst
INR 7,00,000 – 10,00,000
AI Research Analyst
INR 8,00,000 – 12,00,000

IIIT Bangalore Placement Partners

IIIT Bangalore provides strong placement opportunities along with dedicated career support for its students. Through its placement partnerships and career services, learners gain access to leading companies and promising job roles across top industries. Some of the top recruiters include:

IBM

IBM

Microsoft

Microsoft

Amazon

Amazon

Infosys

Infosys

Tata Power

Tata Power

CISCO LOGO

CISCO LOGO

Wipro

Wipro

Career Services offered by IIIT Bangalore

1-on-1 Career Coaching
1-on-1 Career Coaching

1-on-1 Career Coaching

Students get personalised guidance from career mentors to set clear professional goals, build effective job strategies, and prepare confidently for interviews.

AI-Powered Profile Builder
AI-Powered Profile Builder

AI-Powered Profile Builder

The institute helps create a strong professional presence with ATS-friendly resumes and LinkedIn profile improvements.

Real-Time Interview Support
Real-Time Interview Support

Real-Time Interview Support

Students are prepared with technical and HR mock interviews to boost confidence.

Post-program Career Support
Post-program Career Support

Post-program Career Support

Continue receiving career guidance and placement assistance after completing the program to help students explore and secure the right opportunities.

Admission Process for Executive Diploma in ML & AI

IIIT Bangalore's admission process for the Executive Diploma in machine learning and AI is easy and can be done completely online. The step-by-step process is mentioned below:

1

Submit Application

Students must fill out the application form with accurate details.

2

Get Shortlisted

The institute shortlists candidates based on the application process and academic background.

3

Receive Offer Letter

Shortlisted candidates receive an offer letter via email.

4

Confirm Enrollment

Candidates are required to pay the required course fee and confirm their enrollment.

Frequently Asked Questions

The program offers two key specialisations: MLOps and Generative AI. MLOps focuses on building and automating scalable machine learning pipelines. Generative AI explores advanced AI concepts such as prompt engineering and developing applications.
Submit the application form with your basic details. After the review process, shortlisted candidates will receive an offer letter from upGrad.
The program covers over 80 tools and languages such as Python, Anaconda, pandas, ChatGPT, Power BI, MySQL, Excel, MongoDB, AWS, Gemini, Ollama, etc.
The program offers comprehensive career support, including 1-on-1 career coaching, AI-powered resume and LinkedIn profile building, mock technical and HR interviews, and networking events, job portal access and continued career support for up to six months after program completion.
The “Bring Your Own Capstone” allows students to work on a real-world problem related to their domain or interests. Students select relevant datasets, design and implement their solution, document their approach, and present their findings while receiving continuous expert feedback throughout the project.

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