[Australia Series] Data & AI Workshop: Building Your Career‑Ready Skillset
A practical, hands-on evening workshop to help working professionals and early-career talent build real-world Data & AI capability—skills, terminology, project thinking, and career direction that hiring teams recognise.
We are the ISO of AI, helping professionals build capability with
Vendor-neutral standards that keep Australians safe—by lifting
the baseline of responsible, job-ready AI practice in the workforce.
Build your career-ready Data & AI skillset—turn curiosity into capability, and
capability into credible outcomes.
- Venue: TBD
- Start time: 5:30 PM local time
- Format: In-person
- Duration: 2 hours
- Breaks: Short comfort break as needed
Who this is for
Early-career professionals moving into Data, Analytics, AI, or Automation roles.
Working professionals upskilling for AI-augmented work (business, operations, marketing, finance, HR, customer, tech).
Students in final year or recent graduates who want practical clarity on what “Data & AI work” looks like.
Career switchers seeking a structured pathway into data/AI.
Why this Event now
The market has shifted: employers increasingly look for practical evidence—
problem framing, data thinking, and the ability to use AI tools responsibly—
rather than certificates alone.
At the same time, AI is changing how entry-level and mid-level work gets
done, raising expectations for baseline literacy in data, automation, and
modern AI workflows.
This workshop provides structured clarity: what to learn, how to apply it,
and how to present skills credibly—without fluff, and without hype.
Agenda
roles, skill stacks, and what “job-ready” means in 2026
how to choose portfolio projects that signal real capability
data foundations, analytics workflow, and how AI fits into day-to-day work
portfolio, resume/LinkedIn positioning, interview signals, and a 30-day upskilling plan
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Know more about Data Engineering
Learning outcomes
Deliverables
-
Career-ready skill stack template (by target role).
-
Portfolio project selector (what to build, why it matters,
what it proves). -
Project framing worksheet (problem → data →
approach → outcome). -
Resume and LinkedIn positioning checklist for Data
& AI roles. -
Interview question bank (foundational + scenario-based)
-
A 30-day upskilling plan you can execute alongside work/study.
Speaker
Sandeep Bhalekar
Sandeep brings 20 years of experience across data, AI, and governance in complex enterprises including Bank of America, HSBC, and NAB.
His work focuses on ISO 42001, enterprise risk, and AI governance—helping leadership teams adopt Vendor-neutral standards that operationalise responsible AI, strengthen oversight, and Keep Australians safe.
Testimonials
“Clear, practical, and structured. I finally understood what projects to build—and how to talk about them in interviews.”
“Strong clarity on role expectations and skill priorities. It saved me months of scattered learning and endless trial-and-error.”
“This workshop made Data & AI feel tangible. The portfolio and positioning guidance was the difference in my next promotion cycle.”
FAQs
Yes. It is designed for working professionals and early-career attendees, including those from business and operations, and it focuses on practical clarity rather than deep coding.
A laptop is helpful but not required; the session focuses on frameworks, worksheets, and real examples you can apply immediately
Yes. The workshop explains role differences, typical skill stacks, and what hiring teams look for—so you can choose a direction confidently.
No. It is built for both early-career and working professionals who want to upskill and reposition into data/AI work.
A participation confirmation can be provided upon request, but the emphasis is on building evidence through portfolio-ready outputs.
Refunds are handled on a case-by-case basis.
Connect with motivated working professionals and early-career talent actively
building practical Data & AI capability.
Align with the ISO of AI and Vendor-neutral standards. that Keep Australians safe through better AI
literacy.