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Tech tracks · free · with a certificate

Tech tracks

Heading into a technical job? Each track takes you from the first idea to job-ready basics in short steps, with something to try, a question to check yourself, a quiz and a certificate at the end.
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Not sure which one? Each track starts with a quote. Go with the one that sounds like you, and I'll keep your ticks in this browser.

Pick the one that sounds like you

  1. 01Data Analyst“I want to become a data analyst”From your first question to a portfolio project: spreadsheets, SQL, cleaning, honest charts, the statistics you actually use, dashboards, and how to use AI without leaking data or fooling yourself. For beginners who are comfortable with a spreadsheet and want job-ready basics.8 steps · 79 min2–3 hours a week for 4 weeksNot started
  2. 02Data Scientist“I want to become a data scientist”Python, statistics, first models and honest evaluation, ending with a portfolio project you can show. It assumes you are comfortable with spreadsheets; if you are not yet, the Data Analyst track is the gentler start.8 steps · 87 min3–4 hours a week for 6 weeksNot started
  3. 03Data Engineer“I want to build the pipelines that move data”From what the job is to a small pipeline you can show an employer: SQL and modelling, ETL and ELT, storage, testing, orchestration and using AI assistants without leaking data. For people who like building systems more than presenting charts.8 steps · 65 min2–3 hours a week for 6 weeksNot started
  4. 04DevOps Engineer“I want to help teams ship software safely and often”The culture and the tools: Linux, Git, CI/CD, containers, Kubernetes concepts, infrastructure as code, monitoring and incidents, and how to use AI help without leaking secrets or running made-up commands. Ends with a small project you can show.8 steps · 68 min3 hours a week for 6 weeksNot started
  5. 05Cloud Engineer“I want to understand and build on the cloud without surprise bills”What the cloud really is, the core services every provider shares, identity and access, cost control, serverless, security, AI services and data privacy, and how to choose a certification. Vendor-neutral, with AWS, Azure and Google Cloud side by side, and a free-tier project with cost guardrails.8 steps · 65 min2–3 hours a week for 6 weeksNot started
  6. 06ML Engineer“I want to build machine learning models and put them into real products”From your first scikit-learn model to a deployed, monitored service and a working LLM feature. For people who can code a little and want the engineering side of machine learning.8 steps · 56 min3–4 hours a week for 6 weeksNot started
  7. 07Deep Learning“I want to build and train neural networks”How neural networks learn, how CNNs and transformers work, and how today's language and image models are trained. For people who can write a little Python and want to train real models on free GPUs.8 steps · 82 min3–4 hours a week for 6 weeksNot started
  8. 08Robotics“I want to build robots that sense the world and move on their own”From blinking an LED to a small robot that steers itself. You learn electronics, sensors, motors, control, perception, ROS 2 and where AI fits, using cheap parts and free simulators.8 steps · 46 min2–3 hours a week for 6 weeksNot started

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