Career Coaching Program · global
Coaching you can verify,
commit by commit
A selective, project-based coaching program: real engineering work with daily AI code review, a specialization track matched to your target role, and interview preparation that treats you like the professional you're becoming.
Open globally · limited seats · request-based
The arc
Four phases, one outcome: job-ready and provable
PHASE 1
Foundations
Fill the gaps that interviews expose: fundamentals, tooling, and the discipline of daily committed work.
PHASE 2
Track depth
Your specialization track — real projects with daily AI code review, each one a portfolio piece employers can read.
PHASE 3
Interview machine
Mock interviews, viva-style questioning, resume and profile work — until explaining your own code is second nature.
PHASE 4
Search & land
Targeted applications, positioning, and coaching through offers — with your public project history doing the talking.
Specialization tracks
Matched to the role you're targeting
You request a track based on your target role and current level, and an advisor confirms the fit with you. Each track is project-based and maps to roles companies are hiring for right now. This list comes straight from the curriculum.
AI-Chip & ML-Systems Engineering (GPU Kernels to Compilers)
Build the layer that makes AI fast on hardware — the highest, most durable rung of the AI-infrastructure stack.
Leads to: GPU Kernel Engineer, ML Systems / Inference Engineer …
6 phases · 48 projects
AI / ML with Python
Become a job-ready ML engineer through projects: data foundations (NumPy, pandas, viz, SQL), classical machine learning with honest evaluation, deep learning (CNNs, RNNs, transformers), modern LLM/ge…
Leads to: ML Engineer, Data Scientist …
6 phases · 49 projects
AI-Native / LLM Application Engineering
Build production LLM applications the way modern teams actually do: structured outputs, RAG, agents, tool use, evals, and MCP.
Leads to: AI Engineer, LLM Application Developer …
4 phases · 17 projects
Backend / API Engineering
Build production backends: REST and GraphQL APIs, relational and cached data, auth, background jobs, testing, and system design.
Leads to: Backend Engineer, API Engineer …
4 phases · 19 projects
Build Your Own Small Language Model
Build the whole stack that sits underneath a language model API, on the laptop you already own.
Leads to: Machine Learning Engineer (training and inference), LLM Infrastructure / Inference Engineer …
7 phases · 17 projects
C & Systems Programming (Zero to the Kernel)
Free startLearn C the way the systems world actually uses it — as the portable assembly that the Linux kernel, device drivers, embedded firmware, databases, and network stacks are written in.
Leads to: Systems / Kernel Engineer, Embedded / Firmware Engineer …
6 phases · 48 projects · 48 videos
Capital Markets Systems in C++ (OMS/EMS, FIX, Compliance & Settlement)
Learn how the software that runs the buy side and sell side actually works — by rebuilding it.
Leads to: Trading Systems Engineer (Buy-Side), OMS/EMS Platform Engineer …
6 phases · 48 projects
Computer Architecture & Systems (How the Machine Really Works)
Go beneath the language to the machine itself — the layer that separates a generic software engineer from a low-latency systems engineer.
Leads to: Low-Latency / HFT Engineer, AI-Chip / Kernel Engineer (foundation) …
6 phases · 48 projects
C++ From Zero (Absolute Beginner to Modern C++)
Learn C++ from the very first line of code to modern, idiomatic C++17/20 — the systems language that the shared core (data structures, computer architecture, performance) and the AI-chip branch are a…
Leads to: C++ Developer, Low-Latency / HFT Engineer (foundation) …
6 phases · 48 projects · 20 videos
DevOps / Cloud / Data Engineering
Operate and ship software at scale: Linux, containers, CI/CD, infrastructure-as-code, cloud, observability, and the data-engineering basics (pipelines, warehouses).
Leads to: DevOps Engineer, Cloud Engineer …
4 phases · 16 projects
Data Structures & Algorithms in C++ (Interview-Grade)
Turn your C++ fluency into problem-solving power.
Leads to: Software Engineer (interview-ready), Low-Latency / HFT Engineer (foundation) …
6 phases · 48 projects
Forward Deployed AI Engineering
Walk into a messy workflow.
Leads to: Forward Deployed AI Engineer, Applied AI Engineer (customer-facing) …
8 phases · 12 projects
Frontend Engineering
Job-ready modern frontend: from Git and HTML/CSS to JavaScript, TypeScript, React and Next.js, built through 90+ projects that become a live portfolio.
Leads to: Frontend Engineer, React Developer …
5 phases · 72 projects
Frontend Advanced — Next.js
Advanced, production-grade Next.js across eight phases and a deployable capstone: routing and the server/client boundary, forms and validation, data fetching with React Query, a reusable UI library,…
Leads to: Frontend Engineer, Next.js Developer …
8 phases · 88 projects
Full-Stack Engineering
The most common job-ready bundle: build complete products end-to-end — frontend, backend, database, auth, and deployment — using Next.js full-stack.
Leads to: Full-Stack Engineer, Software Engineer …
4 phases · 16 projects
HFT & Low-Latency Engineering in C++
Engineer software where nanoseconds are money.
Leads to: Low-Latency C++ Engineer (HFT), Trading Systems Engineer …
6 phases · 48 projects
Math & Reasoning for Systems and Quant (Zero to Confident)
Build the mathematical spine that every elite low-level and quantitative role assumes — from a true-zero start, learning by writing tiny programs that compute and verify each idea.
Leads to: Quant Trader (foundation), ML/AI-Systems Engineer (foundation) …
6 phases · 48 projects
Parallel Computing & Performance (CPU to GPU)
Make code fast by making it parallel.
Leads to: AI-Chip / GPU Kernel Engineer (foundation), HPC / Performance Engineer …
6 phases · 48 projects
Python Core (Beginner to Advanced)
Master the Python language end-to-end through projects: fundamentals, idiomatic and functional Python, object-oriented design, packaging and environments, the standard library, and concurrency, perfo…
Leads to: Python Developer, Software Engineer …
6 phases · 48 projects
Python Data Engineering & Automation
Build the pipelines and automation that power real systems with Python: scripting and CLI tools, web scraping and data acquisition, data engineering (ETL, validation, warehousing), big data and orche…
Leads to: Data Engineer, Automation Engineer …
5 phases · 43 projects
Python Web & Backend Engineering
Build production web backends and full-stack apps in Python: HTTP and ASGI foundations, REST APIs with FastAPI, databases and ORMs (SQLAlchemy, Django), authentication and security, async and real-ti…
Leads to: Backend Engineer (Python), Full-Stack Engineer (Python) …
6 phases · 45 projects
Quant Trading — Mental Math, Probability & Market-Making
Train for the trading floor the way the prop shops actually hire.
Leads to: Quant Trader (Prop / HFT), Trading Intern / Junior Trader …
6 phases · 48 projects
Robotics & Humanoid Systems Engineering
Make C++ move in the physical world.
Leads to: Robotics Software Engineer, Humanoid / Controls Engineer …
6 phases · 48 projects
Enrollment & terms
One program, worldwide
The Career Coaching Program is a single global program. Wherever you are, you request a track the same way, build the same projects, and get the same coaching.
Program terms, fees, and payment details are confirmed in writing before enrollment, per your agreement — you'll know exactly what applies to you before you commit to anything. A track request is not an acceptance: an advisor reviews it.
Eligibility is open globally; work authorization for your target job market and program fit are confirmed during the advisor conversation.
Honest expectations
What this is not
- ✕ Not a video course — you build, we review, every day
- ✕ Not a bootcamp certificate — your proof is a public project history anyone can read
- ✕ Not a job placement service — we prepare you; employers hire you on merit
- ✕ Not for passive learners — half-effort produces half-results, and we say so up front
This program provides coaching, skill building, and job-search guidance. It does not guarantee employment, interviews, salaries, or any specific outcome — results depend on your effort, market conditions, and employer decisions.
Requests open
Serious about the switch?
Sign in with GitHub, start the free first project, and request the track that fits your target role. If the fit is real, an advisor walks you through terms in writing — no surprises, no pressure. Questions first? Ask on WhatsApp.