Course curriculum

  • 1

    Introduction

    • Introduction to the Course
  • 2

    Module 1: Foundation & On-Boarding

    • Introduction to DeepSeek

    • Setting-up DeepSeek R1 locally (Ollama, Docker, VS Code)

    • Python crash-course refresher (from R1)
  • 3

    Module 2: Text Processing & NLP

    • Text Summariser

    • Text Generator

    • Grammar & Spell-checker

    • Named-Entity Recognition

    • Sentiment Analysis

  • 4

    Module 3: Chatbots & Assistants

    • Customer-Support Chatbot

    • Personal AI assistant

    • Legal Support Specialist

    • Medical symptom checker

    • Personalised product recommendation bot
  • 5

    Module 4: Automation & Productivity

    • Automatic E-mail Reply System

    • CV Generator

    • Meeting-minutes bot

    • PDF text extractor

    • AI content writer

  • 6

    Module 5: Developer & Coding Tools

    • Code completion assistant

    • Automated SQL Query Builder

    • AI-Powered Code Debugger

    • Document Generator

    • Automated API Validation Tool
  • 7

    Module 6: Advanced Engineering & Deployment

    • Retrieval-Augmented Generation architectures (FAISS, Qdrant)

    • Observability & MLOps (prompt tracing, drift alerts, Grafana)

    • Security, safety & compliance (jail-break prevention, GDPR/DPDP)
  • 8

    Study Material

    • Study Material