Starting point, capability, duration and workload — side by side. Choose from four core programmes and a three-month skills add-on.
WHO IT'S FOR / YOUR NEXT CHAPTER
Your background is the starting point. Choose where you are today to explore what you could learn, build and take forward.
You do not need a coding background to begin. Choose the work that excites you: finding answers in data or building software that solves a client's problem.
Both routes start with the fundamentals. Choose the kind of work you want to practise.
02 / EXPLORE A ROUTE THAT FITS
I want to work with data
Start with Excel, SQL and Power BI, then build your Python and analysis skills.
BI dashboards, SQL case studies and an automated report.
I want to build & deliver
Start with Python and software engineering, then move into APIs, cloud, AI and client delivery.
A deployed service and a complete client-simulation capstone.
Turn your domain knowledge into questions a model can help answer. Build from the analyst core into machine learning, deep learning and a deployed application you can demonstrate.
Discuss your Python, SQL and statistics readiness for Data Science. Data Analytics with Generative AI is the alternative if you need more time with the foundations.
02 / EXPLORE A ROUTE THAT FITS
Move from analysis into ML
Build on the analyst core with machine learning, deep learning, NLP and model deployment.
Prediction models and a deployed ML application with an API.
Build my data foundations
A foundation-first path for moving from spreadsheets or a non-technical role into analytics.
An end-to-end analysis, dashboards and Python data pipelines.
Keep the depth you have in software, cloud, data or technical delivery. Choose an advanced client-delivery pathway or a focused addition to your AI toolkit.
Advanced FDE entry is based on demonstrated coding, service-delivery and AI skills. A readiness conversation identifies any preparation you need.
02 / EXPLORE A ROUTE THAT FITS
Own enterprise AI delivery
An accelerated pathway across AI engineering, client judgement, integration and operational handover.
An advanced client simulation with evaluation and handover evidence.
Add GenAI & agent skills
A focused skills add-on covering prompting, retrieval, tool use, orchestration and evaluation.
A RAG system, MCP tools and a deployed agent workflow.
A little direction goes a long way.Explore your strengths with the free skill check, or talk through your options.
| Programme | Code | Duration | |
|---|---|---|---|
| Data Analytics with Generative AI The full analyst stack — Excel, SQL, Power BI and Python pipelines — then a generative-AI layer you can prove is right. | DA | 3–4 months | View → |
| Data Science From data foundations to machine learning, deep learning and deployment. | DS | 6 months | View → |
| FDE for Freshers Build your engineering foundations, then take AI from discovery to delivery. | FDE | 6–7 months | View → |
| FDE for Professionals An accelerated advanced pathway for IT professionals ready to own enterprise AI delivery. | FDE-PRO | 16 weeks (proposed) | View → |
| Generative & Agentic AI Add practical GenAI, retrieval and agent-building skills to your existing toolkit. | ADD-ON | 3 months | View → |
Fees are shared on your counselling call, inclusive of GST and all charges, with 0% EMI available. Interview and internship support applies under the published eligibility criteria.
6–7 months, approximately 30 weeks. Start with Python, Git, data and APIs, then build cloud, AI and client-delivery skills. No prior work experience required.
Explore the fresher curriculum →Proposed 16 weeks: 84 live + 156 project/preparation hours. Build on your engineering and AI fundamentals through advanced enterprise delivery. Skills-based entry; no fixed experience minimum.
Explore the advanced curriculum →A counsellor can help you compare entry requirements, weekly workload and programme-specific terms before you enrol.
Tell us your background and we will map it to the right entry point — including saying so when a cheaper programme is the better fit. A counsellor replies within one working day.