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AI PRODUCT ENGINEER ADVANCED ACCELERATOR

16 Weeks

Design, build, and deploy intelligent systems that power the next generation of digital products.

About This Programme

Over 16 weeks, this programme equips you with the technical, engineering, and collaborative skills to design scalable, reliable, and ethical AI-powered systems. Learn methodologies to harness AI effectively — understanding its limits as well as its potential — so you can build products that truly work in the real world. Study online, supported by coaching and collaboration.

AI Product Engineers are set to shape the future — not by letting AI take over, but by learning how to use it with skill and purpose. This postgraduate level programme gives you the engineering mindset and technical expertise to design, test, and deliver intelligent systems that create measurable value.

You’ll learn how new architectures and patterns integrate AI models and APIs, to speed up development and transformation. Master collaboration practices that turn innovative ideas into scalable products. As you progress, you’ll gain the tools to evaluate AI’s role responsibly — ensuring performance, security, and sustainability are at the heart of your work.

Continue to the AI Product Engineer Advanced Industry Accelerator to apply your learning through a mentored project solving real-world challenges — and graduate with the confidence to engineer at the frontier of AI innovation.

Who This Programme Is For

Perfect for:

  • Mission Ready graduates in software developer accelerators seeking to advance into AI system design and engineering roles.
  • Software engineers and developers ready to move beyond basic integrations to building AI-powered products end-to-end.
  • Technical professionals and career shifters who want to deepen their practical AI skills and become confident, industry-ready engineers.

If you want to build intelligent systems, not just talk about them — this is your programme.

SKILLS YOU'LL GAIN

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

Build your engineering foundation, then master how to design, develop, and deliver software products where AI is a core component of the system.

You will gain the practical skills required to build, integrate, and deploy AI capabilities within real applications, developing the technical understanding needed to engineer intelligent products end-to-end.

  • Product and system design fundamentals for agentic and AI-enabled solutions.
  • Generative AI, APIs, and integration design patterns.
  • Vector databases and embeddings: data design, querying, and scaling.
  • Retrieval-Augmented Generation (RAG): concepts, architecture, and implementation.
  • Local LM deployment: tuning, security, and efficient delivery.
  • Agentic AI: design, orchestration, and building functional AI agents.
  • Collaboration with AI tools: best practices and workflows for effective teamwork.
  • Product engineering process and cost management for scalability.

Before you can build AI products, you must know how to work effectively inside the teams that build them. This is the phase where you learn to work like an AI Product Engineer before you start building like one.

Phase 2 – AI Product Engineering (10 weeks)

Learn practical knowledge to design and build AI-enabled systems, including real-life considerations such as system performance and integration with other systems

  • AI Fundamentals for Engineers
  • RAG and Agentic AI
  • Performance engineering and MLOps
  • AI Governance and Enterprise Integration
  • Techniques to Future-proof AI Systems

TOOLS YOU'LL LEARN

Find Your Schedule

Duration

16
 weeks

Schedule

Full-time (30 - 35 hours weekly)

Part-time Programme (15 - 17.5 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.

Full-Time

04
May
2026
Live sessions
06
Jul
2026
Live sessions
02
Nov
2026
Live sessions

Part-Time

No intakes planned

INVEST IN YOUR FUTURE

NZD 

4,980

ZERO FEES Upfront available
Flexible Payment plans
FUNDING SUPPORT AVAILABLE

Mission Ready Support

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.
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FAQ

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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

EDUCATION TEAM

Learn from the Best

Mission Ready HQ is an award winning education provider.  Learn more

OLAYINKA FASHOLA

OLAYINKA FASHOLA

Business Analyst Trainer
ALAN KAN

ALAN KAN

Co-founder & Innovation Director
SEBIN BENJAMIN

SEBIN BENJAMIN

Full Stack Development Trainer
ARASH MOGHADAM

ARASH MOGHADAM

Software Development Trainer
CHANDNI ADESHARA

CHANDNI ADESHARA

Facilitator & Coach
CHARLES ANGELES

CHARLES ANGELES

Partnerships & Placements Manager

STUDENT SUCCESS

Hear from our Graduates

Industry leaders value our graduates. Our alumni have gone on to work at companies like Datacom, Cin7, One NZ and PWC.

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