Data
Turn raw information into a defensible business answer.
- Data literacy
- SQL & databases
- Data modelling
- Analytics
- Data quality
- Visualisation
- Business metrics
- Statistics
12 weeks · Five capability pillars
Learn the tools. Practise the work around them.
The programme connects technical foundations with repeated practice, review and explanation. Your starting point and progress guide the level of work expected. Guaranteed mastery is not claimed. Online + Gurugram in-person · New batch starting soon.
Commitment summary: live Online formats and Gurugram in-person. Cloud work covers Google Cloud, AWS and Azure. Hands-on depth on each platform can vary by cohort. Bring a suitable laptop. Schedule is confirmed before enrolment.
Engineering & Cloud
Build dependable data workflows with cost and operations in mind.
- Python
- Git / GitHub
- Linux
- APIs & JSON
- ETL / ELT
- Pipelines
- BigQuery
- IAM
- Monitoring
- FinOps basics
AI & ML
Create, evaluate and govern intelligent systems responsibly.
- ML workflows
- Model evaluation
- GenAI
- RAG
- Embeddings
- LLM evaluation
- Agentic AI
- Tool calling
- Human approval
- Responsible AI
Delivery & Operations
Understand how technology work moves through a real organisation.
- Agile
- Scrum & Kanban
- SDLC
- Estimation
- Risk
- Incident management
- Problem management
- RCA
- Change
- Escalation
Professional Effectiveness
Make your work clear, credible and useful to other people.
- Communication
- Presentations
- Business writing
- Executive updates
- Meetings
- Ownership
- Stakeholders
- Ethics
- Interviews
- Professional confidence
Week by weekWeek 00 · Diagnose Week 01 · Foundation Week 02 · Foundation Week 03 · Build Week 04 · Build Week 05 · Build Week 06 · Build Week 07 · Build Week 08 · Operate Week 09 · Operate Week 10 · Operate Week 11 · Present Week 12 · Present
Focus / Work produced / Review
Baseline
Focus. Establish starting point
Work produced. Baseline tasks and goal statement
Review. Mentor baseline conversation
Data + business
Focus. Business metrics and grain
Work produced. Metric definition note
Review. Challenge a dashboard number
Python + SQL
Focus. Joins and transformations
Work produced. SQL with reconciled totals; Python with error handling
Review. Query and script walkthrough
Data engineering
Focus. Reliable movement of data
Work produced. Pipeline with quality checks
Review. Failure and recovery discussion
Cloud
Focus. Access, monitoring and cost
Work produced. Cloud access/cost note
Review. Explain what is running and why
Analytics + statistics
Focus. Decision-ready analysis
Work produced. Analytical recommendation with limitations
Review. Stakeholder Q&A
Machine learning
Focus. Evaluate before claiming lift
Work produced. Evaluated model baseline
Review. Metric and leakage critique
Generative AI
Focus. Verify AI outputs
Work produced. Retrieval example with source checks
Review. AI decision log
Agentic AI
Focus. Bounded tool use
Work produced. Permission-bounded agent workflow
Review. Trace and approval check
Production operations
Focus. Restore then investigate
Work produced. Incident timeline/RCA
Review. Management update critique
Delivery readiness
Focus. Visible work and change
Work produced. Change-impact note
Review. Status update standard
Capstone
Focus. End-to-end defence
Work produced. Capstone increments
Review. Capstone defence
Hiring readiness
Focus. Explain evidence
Work produced. Interview evidence pack
Review. Mock interview feedback
Need one capability rather than the full programme? Browse the 5-day Capability Sprint courses