Logo
Hero Image

About Us

Beyond Degrees. TheSSML: Shaping Future Leaders in AI and Machine Learning.

Driving Innovation, Empowering Future Technologists

The Standard School of Machine Learning shapes the next generation of data scientists, AI professionals, and innovators. Our cutting-edge curriculum is designed to equip students with the knowledge and hands-on experience required to tackle the challenges of the future.

At The Standard School of Machine Learning, action and innovation are at the heart of everything we do. Here, students learn by solving real-world problems, building solutions that make an impact. We focus on developing future leaders in AI and machine learning who can transform industries and societies.

Welcome to your gateway to mastering the technology of tomorrow.

Explore Life At TheSSML

Our Mission


To empower aspiring technologists with the expertise, skills, and network needed to lead in the fields of machine learning and artificial intelligence, driving innovation and societal progress.

Our Vision


To empower our students to become trailblazers in the realms of machine learning and artificial intelligence, leading the charge in technological innovation, advancing knowledge, and delivering transformative solutions that positively shape the future. We are committed to developing visionary leaders who harness the power of AI to drive progress, revolutionize industries, and create lasting, global impact.

Our vision at TheSSML

Launch Your Career with Impact

Accredited

AICTSD accredited logo

Westand proudly as a India-recognised Institute, boasting the coveted All India Council for Technical Skill And Development (AICTSD) accreditation.

Expert Faculty

Our professors at TheSSML are experts in their respective fields. They have worked with some of the world’s largest and most prestigious companies And Universities, including Amazon, United Nations, Harvard, KPMG, Boston Consulting Group, IBM, and Allianz.

Create impact

MACUL Partnership

MACUL logo

As part of our commitment to excellence, The Standard School of Machine Learning (TheSSML) is also partnered with MACUL, further enhancing our students' learning experience and providing them with additional avenues to engage with the latest technological advancements and industry trends.

Shaping Futures with Excellence

At The Standard School of Machine Learning (TheSSML), our Career Advancement Centre provides tailored coaching to empower students for professional success. From curating an impactful portfolio to refining strategic interview techniques, we ensure every student is equipped with the skills to excel in the competitive landscape.

Our commitment goes beyond education—our experts offer personalised career mapping and networking opportunities, ensuring graduates are industry-ready and confident to thrive in their chosen fields.

Bridging Academics and Industry

At The Standard School of Machine Learning (TheSSML), we seamlessly connect education with real-world opportunities. Our Career Advancement Centre is dedicated to equipping you with the critical skills, strategic insights, and professional networks needed to excel in today’s competitive landscape.

From building industry-relevant expertise to forging meaningful connections, we prepare you to transition confidently from the classroom to the workplace and thrive in your career.

More about our career centre

The University in Numbers

Landing Jobs, Not Just Degrees

94%

Job Ready

Students who find employment less than a year after graduation.

88%

Career Launchpad

Students who secure a job before graduation.

77%

Starting Strong

Our recent graduates enjoy a salary ranging from 15 LAP.

66%

Leaders From The Start

Alumni who hold managerial positions in leading organisations after graduation.

Our Strategic Partnership

Our strategic collaboration with the Kamber School of Researchers merges world-class research excellence with industry-driven innovation. Through this alliance, The Standard School of Machine Learning (TheSSML) and Kamber School offer advanced, research-focused programmes that integrate cutting-edge methodologies with real-world applications. This partnership equips students with the expertise and leadership skills needed to drive future advancements in technology and research, ensuring they are poised for success in a rapidly evolving global landscape.

Our Partner
The SSML Partnership with Kamber School Of Researchers

Our Commitment to Quality

Backed by Accreditation

State Accreditation

State Accreditation

Concept Accreditation

Concept Accreditation

Programme Accreditation

Programme Accreditation

Student Insights, Real Impact

Priya Sharma, Machine Learning Engineer at Tata Consultancy Services (TCS)
The Standard School of Machine Learning provided the perfect blend of theoretical knowledge and practical applications. The intensive coursework and collaborative projects gave me a deeper understanding of AI and ML concepts. Thanks to this program, I secured a rewarding position in a leading organization, and my career in technology has never been more promising.

Priya Sharma, Machine Learning Engineer at Tata Consultancy Services (TCS)

Priya Sharma, Machine Learning Engineer at Tata Consultancy Services (TCS)
The AI and ML program at The Standard School of Machine Learning transformed my career trajectory. The hands-on experience with real-world datasets and guidance from top-notch faculty equipped me with industry-ready skills. I am now confidently solving complex problems in my role, and I highly recommend this program to anyone aiming to excel in the field of AI.

Rajesh Iyer, Data Scientist at Infosys

Trusted by Leaders, Featured by Media

All India Council For Technical Skill Development logo
All India Council For Technical Skill Development logo
All India Council For Technical Skill Development logo

TheSSML– AMemberof MACUL

The Standard School of Machine Learning (TheSSML) is a proud member of the MACUL network, a dynamic association of leading higher education institutions dedicated to shaping the future of technology and innovation. With a growing community of over 15,000 students across global campuses, we offer a diverse range of programmes in fields such as machine learning, data science, technology, and engineering.