Generative AI for Developers

Fractal Analytics, founded in 2000 and operating globally with a significant presence in Mumbai, is a leading company in artificial intelligence and advanced analytics that partners with Fortune 500 clients across healthcare, financial services, retail, and consumer goods. While not a university, Fractal offers a professional ecosystem where students and recent graduates can pursue internships, industry projects, and applied research collaborations that bridge academic learning with real-world AI applications.

The company is known for developing AI products and solutions for decision optimization, medical imaging, risk analytics, and business intelligence. For students, Fractal presents opportunities to work on multidisciplinary teams, access mentoring from experienced data scientists, and contribute to deployments that impact large organizations. Engagements can include project-based internships, graduate trainee programs, and joint research initiatives that sharpen technical skills in machine learning, data engineering, and ethical AI practices.

International students and recent graduates seeking industry exposure will find Fractal a compelling partner for experiential learning and career entry into the analytics sector. The company supports talent development through structured onboarding, continuous learning resources, and pathways into client-facing roles. For those who want to translate academic expertise into commercial impact, Fractal provides a practical route to applied AI experience and professional growth in a fast-evolving field.

The Generative AI for Developers program is for international students who want to learn about AI development, offered as a non-degree program in English, lasting several weeks, with the main advantage of being online.

The curriculum covers specific subjects like programming languages, machine learning, and data science, helping students develop skills in coding, software development, and algorithm design, with hands-on components like coding challenges and project development.

After completing this program, students can pursue careers as Software Engineers, AI Engineers, Data Scientists, Machine Learning Engineers, or Backend Developers, working in industries like technology, gaming, or cybersecurity, for employers like tech startups, software companies, or research institutions.