AI / ML

Build Intelligence.
Deploy Real-World AI.

Engineer modern AI applications. Learn data preprocessing, train machine learning models, build Large Language Model (LLM) apps with Retrieval-Augmented Generation (RAG), and deploy MLOps pipelines.

LIVE COHORTFORMATLIVE ONLINE / GUIDED LABSSTATUSCOMING SOON

PROGRAMME OVERVIEW

Theory into models.
Models into production.

Build practical AI and machine learning systems using Python, neural networks, LLM integrations, vector embeddings, and cloud deployment pipelines.

CURRICULUM

  • 01Python Data Science Foundations & Vector Math
  • 02Supervised & Unsupervised Machine Learning Models
  • 03Neural Networks & PyTorch Deep Learning
  • 04Generative AI & LLM API Integration
  • 05Vector Databases & LangChain RAG Pipelines
  • 06MLOps & FastAPI Service Deployment

YOU WILL PRACTISE

  • Construct custom RAG document search assistants using vector embeddings
  • Train and evaluate predictive machine learning models with PyTorch & Scikit-Learn
  • Deploy AI inference microservices to production cloud servers
  • Fine-tune pre-trained models for domain-specific tasks

DELIVERY

  • Live instructor-led sessions
  • Hands-on AI lab projects
  • MLOps deployment mentorship
  • Portfolio build & technical interview prep