PRTF School of Management participates in Google Career Launchpad, and delivers the Google DeepMind AI Research Program curriculum to its students.
This is not an introduction to using AI tools. Students build and fine-tune a small language model from the ground up, working through the same ideas that sit behind systems like Gemini.
The curriculum is built by Google DeepMind. It runs as a sequence, each course assuming the one before it. Courses are released in order, and students work through them with our faculty rather than alone.
Start where the field started. How does a machine predict the next word at all, and what breaks when you try it with simple statistics?
Models do not read text. They read numbers. This course is about the translation, and about what gets lost or distorted in it.
The machinery underneath. Students build classifiers, watch them fail, and learn to read what the failure is telling them.
Later courses in the path move into transformer architecture, adapting a pre-trained model to a specific task, and a capstone where students take on a problem of their own choosing.
Responsible AI is not a bolt-on module here. Questions about bias, about who benefits from a model and who is affected by it, are built into each course alongside the technical work. That framing suits a management school better than it would a pure engineering programme.
Students learn on Google Skills, Google's own learning platform. Our faculty teach alongside it rather than leaving students to work through the material by themselves.
Before the curriculum begins, PRTF teaches the Python groundwork students need. Nobody is expected to arrive already fluent.
Enrolled students are invited onto Google Skills and join the PRTF learning group.
Faculty from the AI and Data Science department teach the concepts, work through the harder passages, and set the pace.
The practical work runs in Google Colaboratory. Students write and run real code, not simulations.
The path closes on a capstone: an AI-backed solution to a problem the student identifies themselves.
Taught, not just made available. The curriculum is designed for learners with a technical background. PRTF's role is to close that gap, which is why the Python foundations sit at the front of the programme rather than being assumed.
Two things, and they do different jobs on a CV.
As students complete courses in the path, they earn Google-issued completion badges, claimable on Credly and shareable on LinkedIn.
PRTF issues its own certificate of completion for the module as taught here, covering the teaching, assessment and capstone.
The capstone is often the most useful part at interview. A student who has built and fine-tuned a language model, and can explain the choices they made and what they would do differently, is in a different conversation from one who has only listed a course.
PRTF's Post Graduate Diploma in Management is AI-centric by design rather than by addition. This is the deep end of that design, and it is also available as a standalone certification programme.
Every student, whichever specialisation they go on to, builds a working understanding of what these systems do, where they fail, and how to judge a claim made about them. The Python foundations sit here.
Students on this track go further. The AI Research Program curriculum runs here, for those who want to understand these systems from the inside rather than only work with them.
The Marketing and Finance track is not left out. Those students take the AI core in Year 1 and apply it in their own domain. The difference is depth of implementation, not access.
Two ways to study it
Both routes are taught by the same faculty from the AI and Data Science department, and both begin with the Python foundations rather than assuming them.
No. The Google DeepMind AI Research Program curriculum assumes Python proficiency, which is why PRTF teaches the Python foundations first, as part of the programme. What you do need is willingness to work through difficult material. This is a technical curriculum and we do not pretend otherwise.
No. Students enrolled in the PGDM study it as part of their coursework at no additional cost. Learners who are not enrolled in the PGDM can take it as a standalone certification programme instead, which is charged separately.
Students receive a period of platform access once onboarded, and the teaching schedule is built to fit comfortably within it. Your faculty will set out the timetable at the start.
This particular path does not currently carry a Google certification exam. What it does carry are course completion badges issued by Google, and a capstone project of your own. Other Google Cloud tracks with associated certification exams are offered separately at PRTF.
Yes. PRTF runs the same curriculum as a standalone certification programme, taught on campus by the same faculty, for graduates and working professionals who are not enrolled in the diploma. Contact us for the current schedule.
Speak to the AI and Data Science department. The curriculum is demanding and assumes a technical footing, but we would rather have that conversation with you than turn you away on the basis of your specialisation alone.
It is Google Cloud's programme for higher education, giving faculty access to structured curriculum and learning resources to deliver to their students. PRTF participates in it, which is how our students reach the DeepMind AI Research Program path.
Talk to our admissions team about the programme, the AI and Data Sciences specialisation, and what the first year looks like.
