The integrative career-change program — 24 weeks from foundations to a portfolio of production-grade work. The destination at the top of the individual ladder.
Twenty-four weeks. You finish with a portfolio of real work, not a certificate of attendance.
The deepest, most comprehensive program we run: twenty-four weeks taking you from foundations to genuinely job-ready, integrating the “understand & model” and “ship & operate” halves of the craft into one applied journey.
AI Tech Institute is not a Registered Training Organisation and this program is not a nationally accredited qualification; it is professional education, assessed on the work you ship.
Entry by prior courses or an entry assessment.
We are not a Registered Training Organisation and we do not pretend otherwise. What you leave with is work a practitioner would believe you built.
One impressive project is a fluke. Three, across analysis, production and a domain of your choosing, is a practitioner.
Being asked anything about your own work and answering well is the skill an interview actually tests. We rehearse it for six weeks.
Phase I · Weeks 01–06FoundationsPython, data, version control and statistics — built from the beginning, quickly.
Phase II · Weeks 07–12Understand & modelLearning, evaluation, and how modern language models really work.
Phase III · Weeks 13–18Ship & operateYour own work taken from notebook to something that runs without you.
Phase IV · Weeks 19–24PortfolioThree scoped, production-grade projects, each presented and defended.
Phase I · FoundationsPython, data handling, version control and the statistical grounding the rest of the program assumes. Fast, but from the beginning — nobody is expected to arrive fluent.
The working fluency the next eighteen weeks assume, built rather than presumed.
Phase II · Understand and modelSupervised and unsupervised learning, honest evaluation, and how modern language models and retrieval actually work. The “why it works” half of the craft.
An evaluated model and the reasoning behind every choice inside it.
Phase III · Ship and operatePipelines, serving, evaluation in production, guardrails and monitoring. Taking your own work from notebook to something that runs without you.
Your own work running in production, monitored, without you holding it up.
Phase IV · PortfolioThree pieces of production-grade work, each scoped with your instructor, each defended. Plus the practical work of presenting it: writing it up, talking about it, and answering for the decisions.
Three defended projects and the ability to talk about them in an interview.
The final six weeks are the portfolio. Three projects, scoped with your instructor against your own goals: typically one analysis that reaches a defensible conclusion, one model taken to production, and one system of your own choosing that demonstrates range.
Each is presented and defended. The standard is not that it impresses — it is that a practitioner reviewing it would believe you built it and could ask you anything about it.
Entry is by prior AI Tech Institute courses or an entry assessment — a conversation and a short piece of work, so that we and you both know the program is the right fit before anyone commits.
Twenty-four weeks. Expect fifteen to twenty hours a week including live sessions. This is the most demanding thing we run and the only program with an entry requirement.
AI Tech Institute is not a Registered Training Organisation and this program is not a nationally accredited qualification. It is professional education, assessed on the work you ship.
Frameworks are great. But understanding what they abstract — the loop, the parsing, the failure modes — is what lets you actually debug and design them under pressure.
Amir founded, funds and directs AI Tech Institute, and still teaches. He holds a PhD and has spent more than twenty years building and leading AI, machine learning and data teams in Australian industry — the kind of work the programs here are drawn from rather than adapted to.
He currently leads asset performance and analytics at Synergy, Western Australia's state-owned electricity generator and retailer. Before that he led GenAI and MLOps program delivery at EY, working on platform modernisation for tier-one Australian banks; served as Chief AI Engineer at Hancock Prospecting, where he built enterprise GenAI platforms for executive decision support, led a Snowflake migration, stood up on-premises NVIDIA H100 infrastructure and Kubernetes clusters for production AI, and built a team of twelve engineers; and spent nearly five years as Tech Lead for ML and Data Science at Woodside Energy.
He has been teaching for twenty-one years. He is an Adjunct Associate Professor at the University of Western Australia, teaching quantitative analysis and decision-making at master's level, and holds Databricks University Alliance Faculty status and the AWS Certified AI Practitioner certification. He has published peer-reviewed research in Exploration Geophysics on machine learning for reservoir characterisation, and writes and records openly about the parts of AI engineering most courses skip — agent loops, termination logic and failure modes.
Cohorts are deliberately small so every piece of work gets reviewed properly and every presentation gets heard in the room. If an intake is full we’ll say so and hold your place for the next one — we won’t quietly oversell a cohort.
See all upcoming dates →The prerequisites for this program are in “Who it’s for” above. Our foundation-level programs and workshops assume none. If you’re unsure, ask on a qualification call — we would rather redirect you than take your money for the wrong cohort.
The commitment for this program is shown in the hero and in “Who it’s for”. Cohort programs run live sessions plus practice between them; workshops are a single block with no homework.
The work you shipped — defended in front of the cohort — and an honest recommendation on your next step. Sometimes that is another cohort with us, sometimes it isn’t; we will tell you which.
No. AI Tech Institute is not a Registered Training Organisation and this is not a nationally accredited qualification. It is professional education, assessed on the work you ship, with a certificate of completion from us. We won’t claim accreditation we don’t have.
Yes — we invoice organisations directly and can supply a scope and outcomes summary for your L&D or capability budget. If three or more people from one team want in, talk to us about a private cohort instead.
Full refund any time before the program starts. Once it has started we can’t refund the place, but we will carry you into a later intake where the circumstances warrant it. Ask us — we’re reasonable.
Thirty minutes with us and you’ll know whether this is your right next step — or which of our programs is. No pitch, no payment, and we will say so if the answer is “not this one”.
