Gradientts was born from a simple frustration — the gap between what academia teaches and what industry actually needs is enormous, and nobody was bridging it seriously.
The AI engineering landscape is moving faster than any curriculum can track. Companies are hiring — but they're hiring builders, not students who can describe a transformer on paper.
We exist to close that gap. Our goal is to build a generation of engineers who don’t just consume AI tools — they build them. Every week at Gradientts ends with a real product: shipped, deployed, and live. Not a notebook. Not a slide deck.
We don't believe in passive learning. We bridge the gap between academic theory and industry-ready implementation by combining active mentorship, hands-on building, and engineering-focused education under real constraints.
Tharun Naik Ramavath is an IIT Kharagpur alumnus with 2+ years of experience teaching Artificial Intelligence and intelligent systems. His journey toward building Gradientts began with a personal realization during his student years. After being approached by an edtech company for an AI program, the final price revealed at the end of the process was an overwhelming ₹1.5 lakhs. That experience exposed a major problem in the industry — high-quality AI education had become inaccessible for many ambitious learners.
Driven by the belief that practical AI engineering education should be affordable and outcome-focused, Tharun founded Gradientts to bridge the gap between theoretical learning and real-world implementation.
Over the years, he observed a recurring pattern among students and professionals alike: many possessed strong theoretical knowledge but struggled to clear recruiter evaluations because they lacked deployed projects, production-ready systems, and hands-on engineering experience. The challenge was never intelligence — it was exposure to practical execution.
To solve this, Tharun began mentoring students and professionals across countries including the USA, UK, Canada, and Australia, helping them transition into AI Engineering roles through project-first learning. His mentorship focused on building production-oriented systems such as RAG pipelines, autonomous AI agents, scalable APIs, and modern AI applications.
Gradientts is the formalization of that mission — an elite, live, cohort-based AI engineering program designed to transform motivated learners into industry-ready AI engineers through hands-on building, direct code reviews, structured mentorship, and career-focused guidance.
To connect, reach out at support@gradientts.com or follow Tharun on LinkedIn through the founder profile.
Every decision we make — from curriculum design to how we talk to rejected applicants — comes back to these principles.
Cohort 1 starts July 22, 2026. Applications are open and seats are limited. Apply now before the cohort fills.