What Our Students Say

Before this course, I knew basic Python but had no idea how to apply it in real-world ML projects. By the end, I had deployed a deep learning model on AWS and built a custom LLM for my company. This program literally changed my career trajectory.

The structure is gold. Every week built on the previous one, and the projects were exactly what recruiters want to see. I landed a role as an AI Developer within a month of graduating.

I’ve taken online ML courses before, but none integrated MLOps, Generative AI, and cloud deployment like this one. The mix of theory, coding, and deployment made me industry-ready.

The mentorship was the highlight for me. Whenever I got stuck, I had direct support from instructors who work in top AI companies. That’s rare in online programs.

The capstone project — fine-tuning an LLM for document QnA — became the centerpiece of my portfolio. It impressed my interview panel and directly led to my offer letter.

I appreciated that the course didn’t shy away from advanced topics like LangChain, RAG pipelines, and model monitoring. These are the tools companies are adopting right now.

I joined with zero deep learning knowledge. Now, I’ve built CNNs for image classification and deployed them via FastAPI on the cloud. This gave me confidence I never thought I’d have.

The course has a perfect blend of academic rigor and hands-on practicality. Every concept was paired with an applied project — that’s what made the learning stick.

This wasn’t just about learning algorithms. I learned how to think like a data scientist — from problem framing to deployment and monitoring in production.

If you want a course that keeps up with AI trends, this is it. The Generative AI module was incredibly relevant and gave me the skills to integrate GPT-based models into our workflow.