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[Melbourne] Data & AI Workshop: Building Your Career-Ready Skillset

Hands-on foundations to build, apply, and launch your career in data and AI.

Melbourne’s strong education and innovation culture creates opportunities for data and AI professionals across multiple sectors. This workshop equips participants with practical, industry-aligned skills that translate directly into workplace readiness.

Local relevance: Students, graduates, and professionals entering data, analytics, and AI roles.

Early Bird is 30% off the regular price and ends 15 days before the event date.

Early
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A$ 49
  • Regular: A$49
  • Start time: 8:00 AM (AEDT)
  • Format: In-person
  • Duration: 2.5 hours
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Who this is for

01

Early-career professionals moving into Data, Analytics, AI, or Automation roles.

02

Working professionals upskilling for AI-augmented work (business, operations, marketing, finance, HR, customer, tech).

03

Students in final year or recent graduates who want practical clarity on what “Data & AI work” looks like.

04

Career switchers seeking a structured pathway into data/AI.

Why this summit 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.
Why this summit now

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

Submit Your Inquiry

Know more about this workshop

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Learning outcomes

Understand the core career paths across Data, Analytics, AI, and Automation—and how they differ in practice.

Build a “skill stack” plan aligned to the roles you want (not generic learning).

Learn how to frame business problems into data questions and AI opportunities.

Identify 2–3 portfolio projects that demonstrate practical competence.

Learn how to present your work credibly in resumes, LinkedIn, and interviews.

Leave with a 30-day plan to move from learning to evidence

Deliverables

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.

Host

Sandeep Bhalekar

Sandeep Bhalekar

CEO & Founder, GIofAI (Global Institute of Artificial Intelligence)

Sandeep Bhalekar, CEO & Founder, GIofAI (Global Institute of Artificial Intelligence). Sandeep brings 20 years of experience across
data, AI, and governance in major enterprises, including Bank of America, HSBC, and NAB, and is known for translating industry
expectations into practical career guidance grounded in real-world delivery.

Testimonials

"Clear, practical, and structured. I finally understood what projects to build—and how to talk about them in interviews. "

Jordan Whitaker Early-Career Analyst

"Strong clarity on role expectations and skill priorities. It saved me months of scattered learning. "

Meera Nair Business Operations Specialist

"This workshop made Data & AI feel tangible. The portfolio and positioning guidance was the difference. "

Ethan Collins Graduate Data Candidate

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.

Refunds are handled on a case-by-case basis.

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.

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.