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AI PRODUCT MANAGER ADVANCED INDUSTRY ACCELERATOR

32 Weeks

Learn to lead AI-powered products that deliver real business impact and build the skills that make you indispensable in a world where technology and strategy meet.

About This Programme

Over 16 - 32 weeks, this programme develops your product management foundation and teaches you how to use AI to make smarter decisions, accelerate development, and design products customers love. Learn online, your way with coaching, collaboration, and real-world mentored projects. Bring your own project or deploy with one of our 300+ industry partners.

Great product managers don’t just manage products — they shape what happens next. This postgraduate level programme helps you master the professional, technical, and leadership skills needed to build, launch, and grow AI-enabled products that create measurable business results.

You’ll learn to collaborate across disciplines, use AI as a decision-making partner, and connect business strategy with customer insight. You’ll apply your learning through a mentored, real-world project that proves your ability to drive outcomes, not just ideas.

This is where smart product managers become product leaders.

Who This Programme Is For

Perfect for:

  • Mission Ready graduates ready to take their career to the next level.
  • Product managers and upskillers aiming to lead AI initiatives or move into strategy roles.
  • Career changers ready to step into AI-driven product management or digital leadership.

Whether you come from tech, design, or business, you’ll gain the mindset, confidence, and capability to deliver results in an AI-powered world.

SKILLS YOU'LL GAIN

Phase 1 – AI-Enabled Collaboration and Productivity (6 weeks)

Learn how to work productively and collaboratively in the age of AI.

  • Professional Productivity with AI
  • Leading Collaboration in the Age of AI
  • Teaming with AIAutomating Workflows with AI
  • Ethics, Safety and Privacy of AI

Phase 2 – AI Product Management (10 weeks)

Learn to identify AI market opportunities, and then design, test, and manage the delivery of a software product that is powered by AI

  • Core Product Management Foundations
  • AI and Data Fundamentals for Product Managers
  • AI Product Strategy and Business Models
  • AI Product Discovery, Design and Delivery
  • AI Product Evaluation and Governance

Phase 3 – Mentored AI Project Experience (10 weeks)

Mentored AI Project Experience

Gain real life project experience with mentoring from an industry expert. Work on an industry project or bring your own.

  • Introduction to project and stakeholder
  • Perform AI product research, strategy and design, weekly mentor meetings, performance checks
  • Project presentation

Phase 4 - Future-Proof Careers in the Age of AI (6 weeks)

Learn how to stay relevant and facilitate employment and career advancement in the age of AI when skills become obsolete quickly

  • Digital Careers in the Age of AI
  • Building an AI-Enhanced Personal Brand
  • AI-Powered Creation of Career Marketing Assets
  • Interviewing Success Strategy with AI
  • Content Strategy, Ethical AI Marketing & Job Acquisition

Find Your Schedule

Duration

32
 weeks

Schedule

Full-time (30 - 35 hours weekly)

You get the best of two worlds - A flexible, video-based learning experience, supported by weekly live Q&A sessions with your trainer and ongoing feedback from the Mission Ready team bringing you the best of flexibility and access to experts and coaches.

Upcoming intakes

24
Aug
2026
Coach led
09
Nov
2026
Coach led

INVEST IN YOUR FUTURE

NZD 

9,960

NZD 

6,640

  With AI-Ready Scholarship

AI-Ready Scholarships
ZERO FEES Upfront available
Flexible Payment plans
FUNDING SUPPORT AVAILABLE

Mission Ready Support

  • AI-Ready Impact Scholarship – your first and fourth phase is zero-fees. You must enrol in early 2026.
  • You can combine this with Pay When Successful (PWS) for the rest of your programme, so you only pay later once you’ve passed.

Flexible Payment Plans for approved candidates.

Bring a friend referral
Refer a friend who enrols and you’ll both get $250 off your fees.

* Fees subject to change

Entry criteria
  • Admission and Selection  
    • All applications for admission to this programme are reviewed by Mission Ready to ensure that every applicant meets the admission and selection requirements stated below.
    • All applicants must have completed a relevant Bachelor’s degree or Graduate Certificate or Graduate Diploma or provide evidence of equivalent relevant skills and knowledge gained through appropriate work or professional experience.
    • All applicants for admission to this programme must be able to demonstrate a level of English language fluency that is equivalent to the requirements of NCEA Level 3 or higher. Where no acceptable evidence of language fluency exists, applicants may be required to take an appropriate language assessment test.
    • International applicants must provide evidence of meeting NZQA’s published English language entry requirements.

10-weeks mentored work experience
Weekly payment options
Learn from industry experts
Project based

FAQ

How Mission Ready Helps People Get Hired in Tech

AI and Data skills are in demand. Employers don’t just want certificates — they want proof you can deliver. That’s why Mission Ready’s approach works.

We combine hands-on learning with mentored work experience so candidates build real projects that go to market. Employers see outcomes, not theory. It’s the reason 4 out of 5 of our graduates get hired.

Whether you’re shifting into UX Design, Full-Stack Development, or Data Analysis, you’ll graduate with:

  • A portfolio of real work,
  • References from industry partners,
  • The confidence to walk into interviews ready.

Mission Ready isn’t just another bootcamp. It’s a career accelerator built with employers, for people ready to make the leap.

Discover our programmes

Which tech areas are future-proofed for the next 20 years?

None — and a few. No technology is truly “future-proof,” but some problem spaces will remain persistent:

  • Data: how we collect, clean, connect, and make decisions from it
  • Automation: how we reduce friction in processes and systems
  • Security: how we protect digital lives as more of our world moves online
  • Experience: how we design products, services, and interactions around humans
  • Learning: how we build systems to support lifelong learning and reskilling

These areas will evolve — today it’s Python and Power BI; tomorrow it might be something else. But the underlying principles will remain. Focus on how systems behave, not just what they’re made of.

What’s the job market like for graduates—will there be entry-level roles after finishing the programme?

The traditional idea of an “entry-level” job — low responsibility, lots of hand-holding — is vanishing. In its place is a new kind of role: small team, high ownership, fast learning curve.

This suits the Mission Ready model. You’ll finish the programme having already delivered work for a real client. That shifts you from “graduate” to “junior with experience.”

MBIE’s 2023 labour market update shows persistent demand in NZ for digitally capable workers — especially those who can operate independently. So yes, the jobs are there. But they go to people who show up ready to contribute, not just ready to learn.

Demand for AI-Powered talent grows daily.

Do you connect us with employers afterwards?

Yes — but not through passive introductions. We:

  • Host employer showcases
  • Offer 1:1 coaching on applications and interviews
  • Tap into our industry network for job leads and recommendations
  • Provide ongoing alumni support long after the course ends

But here’s the truth: we don’t “place” you — we prepare you, position you, and support you. Getting the job is a shared effort.

How can career changers (with limited experience) get into tech, especially with AI and automation reducing demand for juniors?

This is the paradox: entry-level jobs are shrinking — but entry points are multiplying. You may not be hired as a “junior developer,” but you might get in as:

  • A product analyst on a no-code platform
  • A QA tester with domain knowledge
  • A content strategist on an AI tooling team

AI is reducing the need for rote execution — and increasing the need for interdisciplinary thinkers, people who know enough about tech to contribute meaningfully, and enough about people to make it matter.

So build a body of work. Learn just enough code to hold your own. Stay close to problems worth solving. And most of all — show up where change is happening, not where the gatekeepers are

The tech industry is faced with a growing skills shortage and the traditional education pathways would not solve this ... which is why we created New Zealand's first tech career accelerator
DIANA SHARMA
Co-founder & Mission Director

Meet your AI Product Manager Programme lead

Learn from the Best

OLAYINKA FASHOLA

OLAYINKA FASHOLA

AI Product Manager & Business Analyst Trainer
VP Professional Development and Certification at IIBA

"Fash" is a technology leader with over 20 years’ experience in digital product innovation and business transformation across telecommunications, utilities, and financial services. Currently, Fash works as a Digital Infrastructure Product Manager at Spark NZ and lead facilitator of this programme. He also organises IIBA Certification Study Groups and leads the IIBA-AUT BA Fellowship programme.

Why I built this programme?

The job market has moved. Employers aren't searching for PMs who can write user stories.

They're searching for PMs who can walk into a room with data scientists and ML engineers, challenge AI model assumptions, and translate complex trade-offs into decisions the business can act on.
That PM is in high demand and short supply. This programme is built to close the gap.