I joined with a basic Python background and left having deployed an NLP model to a real product. The hiring manager at my current company said they'd never seen a fresher come in with a model actually running in production. That's what set me apart.
Go from Python fundamentals to deploying real ML and GenAI solutions on actual client problems, not toy datasets and graduate with models in production.
A structured journey through the full ML lifecycle data prep, model building, deep learning, GenAI and cloud deployment on real-world problems.
Python essentials, NumPy, Pandas and data wrangling the foundation every ML engineer needs before touching models.
Regression, classification, clustering, decision trees, ensemble methods and model evaluation with Scikit-learn.
Build and train neural networks with TensorFlow and PyTorch CNNs, RNNs and transfer learning on real data.
Text classification, sentiment analysis, LLM fine-tuning, RAG pipelines and building GenAI-powered applications.
Serve models via REST APIs with FastAPI, containerise with Docker, deploy to AWS and monitor in production.
Build and deploy a production-ready AI solution for a real business problem, then present to an industry panel.
GenieBox builds AI-powered features into real client products. Students contribute to those features training models on actual data, fine-tuning LLMs for live use cases and deploying solutions that end users interact with. You graduate with shipped AI work, not just Jupyter notebooks.
Intern as an ML engineer on real AI features inside GenieBox client products.
Build models that ship to real users not sandbox experiments that disappear after the program.
Resume, ML interview prep and referrals to AI-first companies and analytics teams.
1:1 mentorship to choose your specialisation ML engineer, data scientist or AI researcher.
AI adoption and GenAI integration training for product and engineering teams.
GenieBox Academy certificate with a verified portfolio of deployed models and AI projects.
I joined with a basic Python background and left having deployed an NLP model to a real product. The hiring manager at my current company said they'd never seen a fresher come in with a model actually running in production. That's what set me apart.
The GenAI and RAG module was unlike anything I found in online courses. We built a real retrieval-augmented chatbot that's still running on a client's platform. Walking into interviews with that kind of project changes the entire conversation.
Book a free counselling session. We'll assess your background, walk through the program and find the right cohort for your goals.
Tell us what you'd like to learn.