Choose Your AI Career Path
Structured, role-based learning paths to land your dream AI job in India. From complete beginners to experienced developers transitioning to AI.
All Learning Paths
Pick a path that matches your background and career goals
Machine Learning Engineer Path
Complete roadmap from ML fundamentals to production ML systems. Learn algorithms, deep learning, MLOps, and system design. The most comprehensive path for traditional ML engineering roles.
Data Scientist Career Path
Master data science from scratch: statistics, ML algorithms, data visualization, and business analytics. Build the skills to extract insights and build predictive models. Ideal for analytical thinkers.
Junior Developer → ML Engineer Transition
Already a developer? Transition into ML engineering with this accelerated path. Leverages your existing coding skills to fast-track your ML career. Perfect for software engineers wanting to pivot to AI.
GenAI Engineer Career Path
Master Generative AI and Large Language Models to build cutting-edge AI applications. From basics to production-ready LLM systems. Perfect for aspiring GenAI engineers targeting top Indian AI startups.
MLOps Engineer Path
Learn to deploy, monitor, and scale ML systems in production. Master Docker, Kubernetes, CI/CD for ML, model monitoring, and infrastructure. High-paying role with huge demand.
Not Sure Which Path to Choose?
Each path includes detailed prerequisites, target salaries, and company information. Click on any path to see the full curriculum and decide what's right for you.