Machine Learning with Python Course in Melbourne

Batches are announced in AEST / AEDT as well as IST. Because our trainers are based in India, the natural overlap is early morning or late evening AEST / AEDT, which works well alongside a full-time job. If none of the running batches fit, a 1-on-1 track is built entirely around your calendar.

Fees are quoted in AUD (A$) equivalent on request, and international learners can pay by card or bank transfer. WhatsApp +91 9180377502 for the current Machine Learning with Python pricing, the next batch date in AEST / AEDT, and the 1-on-1 option.

Every session is live and interactive — live coding, screen sharing and real-time doubt-clearing with a working Machine Learning with Python engineer, not a recorded playlist. Recordings are provided afterwards so you can revise or catch up if a session lands awkwardly in AEST / AEDT.

In Melbourne, Victoria, typical market ranges for these roles are around A$80,000 – A$103,000 at entry level, A$118,000 – A$152,000 at mid level, and A$172,000 – A$225,000 for senior and lead engineers. Actual offers depend on the employer, your experience and how well you handle the design and coding rounds — which is exactly what the 6 projects and interview prep in this course target.

Teams hiring these skills across Melbourne, Victoria include NAB, ANZ, Telstra, REA Group, Zendesk, Culture Amp, Medibank, plus a long tail of scale-ups and consultancies. The course is built around what those interviews actually test: Machine Learning, scikit-learn, XGBoost, real production practice, and 6 portfolio projects you can talk through in detail.

To be straightforward: our placement network and referral relationships are strongest in India, so we do not promise job placement in Melbourne, Victoria. What international learners get is the part that travels — CV and LinkedIn review against Melbourne job descriptions, mock technical interviews, portfolio projects, and coaching on how these roles are interviewed at NAB, ANZ, Telstra, REA Group, Zendesk and similar employers.

You receive a course completion certificate you can add to LinkedIn and your CV. Like any training certificate, it supports your application rather than replacing employer screening — in Melbourne, Victoria what carries the interview is your project portfolio and how you perform in the technical rounds, which is what the live sessions are built to prepare you for.

12 weeks, with 6 hands-on projects. Prerequisites: Basic Python programming, School-level statistics and algebra. If you are returning to tech or switching stack, book a free consultation and we'll tell you honestly whether to start here or a step earlier.

Cost and access to practitioners. A live, mentor-led Machine Learning with Python course from Prakalpana costs a fraction of an equivalent bootcamp in Melbourne, Victoria, and you learn from engineers who work with Machine Learning, scikit-learn, XGBoost in production every day. You keep your job, join live from CBD, Docklands, Cremorne, Richmond or anywhere else, and get an optional 1-on-1 track rather than a fixed classroom schedule.