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From AI foundations to production deployment

14-Day Curriculum

Day

01

Mon, 7 Dec, 2026

Session

AI Landscape, AI Engineering, Deployable AI Ecosystem

Hands-on Lab

Environment setup using Python, Git, VS Code, Docker, and Colab

Day

02

Tue, 8 Dec, 2026

Session

Python for AI and Data Processing

Hands-on Lab

Data handling, visualisation, and preprocessing

Day

03

Wed, 9 Dec, 2026

Session

Machine Learning Foundations

Hands-on Lab

Build and evaluate supervised learning models

Day

04

Thu, 10 Dec, 2026

Session

Feature Engineering and Model Evaluation

Hands-on Lab

Create practical ML pipelines

Day

05

Fri, 11 Dec, 2026

Session

Deep Learning Foundations

Hands-on Lab

Train neural networks using PyTorch

Day

06

Sat, 12 Dec, 2026

Session

Computer Vision and Image Intelligence

Hands-on Lab

Build an image classification workflow

Day

07

Sun, 13 Dec, 2026

Session

Natural Language Processing

Hands-on Lab

Develop a text classification application

Day

08

Mon, 14 Dec, 2026

Session

Foundation Models and Generative AI

Hands-on Lab

Work with pretrained generative models

Day

09

Tue, 15 Dec, 2026

Session

Large Language Models and Prompt Engineering

Hands-on Lab

Build an LLM-powered application

Day

10

Wed, 16 Dec, 2026

Session

Retrieval-Augmented Generation

Hands-on Lab

Create a document question-answering system

Day

11

Thu, 17 Dec, 2026

Session

MLOps and Experiment Tracking

Hands-on Lab

Track models, datasets, and experiments

Day

12

Fri, 18 Dec, 2026

Session

Model Serving and API Development

Hands-on Lab

Deploy models through production APIs

Day

13

Sat, 19 Dec, 2026

Session

Docker, Cloud, Monitoring, and Responsible AI

Hands-on Lab

Containerise and monitor an AI service

Day

14

Sun, 20 Dec, 2026

Session

Capstone Project, Hackathon, and Demonstration

Hands-on Lab

Deploy an end-to-end AI application