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Mastery · Paid course

Global Jobs & Interview Prep — Australia, UK, US & Canada

From "portfolio shipped" to "offer signed." Resume, cover letters, recruiter etiquette and four interview rounds — tuned for 🇦🇺 AU, 🇬🇧 UK, 🇺🇸 US, 🇨🇦 Canada.

Innovesh Faculty 18 lessons ~6 hrs Internationally-trained engineers, AI / ML and senior IC candidates applying to Australia, the UK, the US, or Canada — and recruiters who keep losing them at round one.
Enrol — ₹1,00,000▶ Watch a free preview← All courses

What you'll be able to do

Structured curriculum

Master it section by section

Foundation-first. Open a section to reveal its topics — every topic pairs a video with the theory, interview questions & answers, and practice problems whose solutions unlock as you complete them.

20sections498+topics live20ready now~6hvideo

A. Build the foundation

01
Python for AI Engineer Interviews
Basic → advanced, idiomatic Python plus the AI layer (NumPy, Pandas, typing, async).
20 topics →
02
Maths for AI Engineer Interviews
Linear algebra, calculus, probability and statistics — the theory every ML answer stands on.
20 topics →
03
DSA for AI Engineer Interviews
The interview bar for AI roles: complexity language, the hash-map reflex, two pointers, sliding window and binary search.
24 topics →
04
SQL & Data Engineering Essentials
Almost every AI/ML/data role runs a live SQL round: pull, join, aggregate and window over data — with correct grain and NULL awareness.
24 topics →
05
Data Science & ML Foundations
The applied ML workflow the technical screen assumes: clean data, build features, train, and evaluate honestly — without data leakage.
25 topics →
06
Deep Learning Foundations
From one neuron to a trained network: the forward pass, why non-linearity matters, backprop, optimisers and the tricks that stabilise training.
25 topics →
07
LLMs & Generative AI
The highest-leverage 2026 interview topic: how an LLM actually works (tokens → embeddings → attention → next-token), and how to steer it with prompts and decoding.
25 topics →
08
AI Engineering, Agents & MLOps
Shipping AI ≠ training a model: the app stack, serving, latency/cost budgets, caching, reliability, and tool-using agents bounded by guardrails.
28 topics →
09
Coding Practice IDE
The in-browser Monaco + Judge0 surface where the foundation drills and the 33-problem bank are solved and auto-graded — plus how to practise for recognition, not grind.
25 topics →
20
PTE / IELTS Foundation & Australian Workplace English
For Australia / UK / US / Canada pipelines, PTE 79+ (or IELTS 7+ each band) is the visible bar that unlocks visa, PR points and a clean recruiter screen — paired with workplace English that lands well on day one.
29 topics →

B. Prove it

10
Portfolio & Capstone Projects
A fresher with real, linkable projects beats a polished resume with nothing behind it. What to build (one ML, one LLM/RAG, one deployed) and how to present it.
25 topics →

C. Package yourself

11
Resume & ATS
Most candidates lose at the 30-second scan and the ATS keyword filter, not the technical round. A one-page, ATS-safe resume that survives both.
25 topics →
12
Cover Letters
≤250 words, by name, a specific reason and one proof point — three templates keyed to how you found the role, lifting conversion from ~2% to 15–20%.
25 topics →

D. Find the roles

13
Where the Jobs Live & Visa
~60% of the market isn't on LinkedIn and your visa comes up in the first 5 minutes of every recruiter call. Channels, recruiter cadence, and the one-line visa statement.
26 topics →

E. Win the interview

14
Round 1 — Recruiter Screen
30 minutes, the cheapest cut in the funnel: the recruiter checks you can hold a conversation, the resume is real, and your salary expectation is in band. Time-box every answer to 90s.
25 topics →
15
Round 2 — Behavioural Interview
The hiring-manager round, where stories matter: STAR(L) structure, the 15 recurring questions, and the Australian voice.
25 topics →
16
Round 3 — Technical Screen
60–90 minutes of live coding plus ML/LLM questions, standing on Parts 01–08. Think out loud — the narration is the signal.
25 topics →
17
Round 4 — ML System Design
A 60-minute whiteboard graded on whether you can run the meeting: clarify → architect → trade-offs → metrics → failure modes. The 8-step framework and a worked RAG-chatbot walkthrough.
27 topics →

F. Close + sustain

18
Offer & Salary Negotiation
The offer call is a 30-minute conversation that follows a framework: know the 2026 AU bands, know what is actually movable, counter with a band, and get it in writing.
25 topics →
19
Practice Cadence & 30-Day Push
The course is rehearsal; this is the schedule that turns the material into shipped artefacts. ~5 hrs/week, counted in resumes sent, stories recorded, problems solved, applications submitted.
25 topics →

Video lessons & practice labs

1Why Apply Abroad in 2026 — The 30-Second Filter You Have to Beat
Free16 min
2The Country Matrix — Format, Length, Photos & Personal Info
Free14 min
3Building an ATS-Safe One-Pager
🔒18 min
4Bullets That Survive a 30-Second Scan
🔒18 min
5Keywords, Skills Banks & ATS Tuning to ≥ 75%
🔒16 min
6Cover Letters That Actually Get Read — Three Templates
🔒20 min
7Where The Jobs Live — Channels, Boards & Recruiters
🔒18 min
8Visa, Work Rights & The 5-Minute Question
🔒16 min
9The Recruiter Screen — 10 Questions, 90 Seconds Each
🔒20 min
10Behavioural Interviews — STAR(L) & 15 Hiring-Manager Questions
🔒22 min
11Technical Screens — Coding, ML & The LLM Questions of 2026
🔒24 min
12System Design + Negotiation — The Last Two Rounds
🔒28 min

Foundation practice labs

New to the fundamentals? Start here — Python, maths, DSA and data-science drilled in the practice IDE before the interview rounds.

13Practice Lab — Python Warm-Up Before the Coding Round
Lab🔒15 min
14Practice Lab — Maths for AI (the foundation under every ML answer)
Lab🔒16 min
15Practice Lab — DSA Drill (the 33-problem bank, 5 languages)
Lab🔒15 min
16Practice Lab — Data Science & ML Foundations
Lab🔒16 min
17Practice Lab — SQL & Data Engineering
Lab🔒15 min
18Practice Lab — Deep Learning Foundations
Lab🔒16 min
Mastery · Self-paced (12 lessons + 6 foundation practice labs — Python, Maths, DSA, Data Science, SQL, Deep Learning) + monthly live mock-interview clinic + downloadable resume / cover-letter / STAR-script templates.
₹1,00,000

You ship an ATS-safe one-page resume, three cover letters that get read, twelve recorded STAR answers, and a recruiter-ready job-application system that survives all four rounds and a salary negotiation.

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