Pioneering AI Education in Sri Lanka

Since 2016, we've been transforming careers and shaping the future of artificial intelligence in South Asia. Our mission is to empower the next generation of machine learning engineers with world-class education and practical industry experience.

AI Lanka Institute Campus and Learning Environment
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Our Story & Mission

From a vision to bridge the AI skills gap to becoming Sri Lanka's premier ML education institution

The Beginning

AI Lanka Institute was founded in January 2016 by a group of Sri Lankan machine learning engineers who recognized the growing demand for AI expertise in South Asia. Having worked at leading tech companies in Silicon Valley and Asia-Pacific, our founders understood the gap between academic theory and industry practice.

What started as weekend workshops for 20 enthusiasts has evolved into a comprehensive educational ecosystem serving over 500 graduates who now work at top companies across the globe. Our journey reflects Sri Lanka's emergence as a significant player in the global AI landscape.

Our Mission

To democratize access to world-class machine learning education in Sri Lanka and South Asia, bridging the gap between academic knowledge and industry requirements. We believe that artificial intelligence should be accessible to all talented individuals, regardless of their background or location.

We are committed to maintaining the highest educational standards while fostering innovation, creativity, and ethical AI development. Our goal is to produce not just skilled technicians, but thoughtful AI practitioners who understand the broader implications of their work.

Our Vision

To establish Sri Lanka as a recognized hub for AI innovation and education in South Asia, contributing to the global advancement of artificial intelligence while addressing local challenges through technology. We envision a future where Sri Lankan AI professionals lead breakthrough research and development projects that benefit both our nation and the world.

Our Evidence-Based Methodology

Combining rigorous academic foundations with practical industry applications for comprehensive learning

Research-Driven Curriculum

Our curriculum is continuously updated based on the latest research publications, industry trends, and feedback from our network of practicing ML engineers. We maintain partnerships with academic institutions and research labs to ensure cutting-edge content.

Hands-On Project Approach

Every concept is reinforced through practical projects using real datasets from Sri Lankan industries. Students work on agriculture optimization, financial risk modeling, and healthcare diagnostics projects that directly impact local communities.

Mentorship Model

Each student is paired with an industry mentor who provides guidance throughout their learning journey. Our mentors are senior ML engineers from companies like Google, Microsoft, Amazon, and leading Sri Lankan tech firms.

Continuous Assessment

We use adaptive learning analytics to track student progress and identify areas needing additional support. Regular code reviews, project presentations, and peer evaluations ensure comprehensive skill development.

Our Impact & Results

Measuring success through career transformations, industry partnerships, and community contributions

500+
Successful Graduates
Since 2016
98%
Job Placement Rate
Within 6 months
85%
Salary Increase
Average post-graduation

Career Transformations

Average salary increase: 180,000 LKR per month
75% of graduates promoted within 18 months
40% transitioned from non-tech backgrounds
30% now work for international companies

Industry Recognition

"Best AI Education Provider" - Tech Awards 2025
50+ industry hiring partners
Research collaborations with 5 universities
International advisory board

Meet Our Expert Team

Our leadership combines decades of industry experience with a passion for education and innovation

Dr. Chaminda Rathnayake

Founder & CEO

Former Principal ML Engineer at Google Cloud. PhD in Computer Science from Stanford. 12+ years leading AI research and development across Silicon Valley and Asia-Pacific.

Priyanka Wickramasinghe

Head of Curriculum

Senior Data Scientist at Microsoft Research. Masters in Machine Learning from CMU. Specializes in deep learning architectures and has published 25+ research papers.

Kasun Perera

Director of MLOps

Former ML Infrastructure Lead at Uber. Expert in production ML systems, Kubernetes, and cloud architecture. 10+ years building scalable AI platforms.

Quality Standards & Safety Protocols

Maintaining the highest educational and ethical standards in AI education

Educational Excellence

  • ISO 21001:2018 Educational Management certification
  • Regular curriculum audits by industry experts
  • Instructor certification and continuous training
  • Student performance analytics and feedback systems

Ethical AI Framework

  • Mandatory ethics modules in all courses
  • Bias detection and fairness training
  • Data privacy and security protocols
  • Responsible AI deployment practices

Safety Protocols

  • Secure cloud computing environments
  • Code review and vulnerability assessment
  • Anonymized dataset usage protocols
  • Student safety and well-being support

Continuous Improvement

  • Quarterly curriculum updates based on industry trends
  • Regular student and employer feedback collection
  • Partnership with research institutions for latest developments
  • External accreditation and quality assurance

Values & Expertise That Define Us

At AI Lanka Institute, we embody the values of innovation, integrity, and inclusivity in everything we do. Our expertise spans the entire spectrum of machine learning disciplines, from foundational statistics and linear algebra to cutting-edge neural network architectures and production deployment strategies.

Our commitment to excellence in education is reflected in our comprehensive approach to skill development. We don't just teach algorithms; we cultivate critical thinking, problem-solving abilities, and ethical awareness that are essential for responsible AI development. Our graduates understand not only how to build machine learning systems but also when and why to apply specific techniques.

With deep expertise in Python programming, TensorFlow, PyTorch, cloud computing, and MLOps practices, we prepare students for the real challenges they'll face in industry. Our faculty's combined experience includes work at major tech companies, successful startups, and leading research institutions, ensuring that our curriculum remains at the forefront of technological advancement while remaining grounded in practical application.

Ready to Join Our Community?

Become part of Sri Lanka's most successful AI education community. Transform your career with world-class machine learning expertise and join our network of industry leaders.