2025 Programs

Digital & AI Skills for Jobs

Practical, job-ready skills across data, automation and AI—built around what hiring managers ask in interviews and on the job.

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Who it’s for

Early career • Cross-skills • Team upskilling

Graduates & Early Talent

Build a portfolio that proves capability—analytics, automation, and safe/ethical AI usage.

Professionals Cross-Skilling

Move from ops/finance/marketing to data-enabled roles with hands-on projects.

Teams & L&D

Cohorts aligned to your tools and data with measurable on-the-job outcomes.

Program Tracks

Jump to Modules

Digital Foundations

Data literacy & BI storytelling
Excel ➜ Power BI / Google Looker Studio
No-code automation (forms, sheets, workflows)

Beginner

2–4 wks

AI in Business

Structured prompting & task design
Agentic workflows (summaries, drafts, QA)
Responsible AI & data handling basics

Beginner/Intermediate

2–4 wks

Analytics & Automation

SQL essentials & data cleaning
Python for analytics (pandas)
Workflow automation with APIs

Intermediate

4–6 wks

Modules, Outcomes & Assessment

Portfolio-first

Module	What you’ll do	Assessment	Level
Data Literacy & BI	Turn raw data into a KPI dashboard; define metrics, build visuals, and present insights.	Dashboard + 5-min video walkthrough	Beginner
Prompting & Task Design	Design prompts/guards for research, writing, ops tickets; measure time saved & quality.	Before/after study + prompt pack	Beginner
AI-Assisted Documents	Create policy drafts, job descriptions, or SOPs with human-in-the-loop review.	Redline doc + rationale	Beginner
SQL Essentials	Model simple tables, write joins, aggregates, and build a clean dataset for BI.	SQL challenge + dataset	Intermediate
Python for Analytics	Use pandas to clean/merge data; generate a reproducible analysis notebook.	Notebook + README	Intermediate
Automation Basics	Automate a business workflow (e.g., intake → approval → report) with logs and alerts.	Flow diagram + demo	Intermediate
Responsible AI	Map data sensitivity, set do/don’t rules, and add QA checks to AI-assisted tasks.	Risk checklist + test cases	All

Each module ends with a real artifact (dashboard, notebook, automation or policy) for your portfolio.

Delivery Options

Flexible formats

Cohort Bootcamps
4–8 weeks, live sessions, labs & capstone.

In-House Tracks
Role-based modules tailored to your tools & data.

1:1 Coaching
Interview prep, portfolio review, career mapping.

FAQs

Candidates & Employers

Do I need coding experience?

No. Foundations and AI-in-Business modules assume no prior coding. SQL/Python tracks are optional.

How do you assess learning?

Artifacts and on-the-job outcomes: dashboards, notebooks, automations, and measurable time/quality improvements.

Are there certificates?

Yes—digital certificates per module. We also prepare learners for external vendor certifications.

Can you customise for our company?

Yes. We align data sources, tools, and governance rules, and map KPIs to your business goals.

Plan Your Digital & AI Skills Roadmap

We’ll tailor a track to your roles, tools and hiring plans.

Request a Free Consultation