Smart, applied power skills

Become the person on the team who turns data into decisions.

Smart, applied power skills for your data & AI career. Small, mentor-led cohorts that take you from messy tables and half-working notebooks to work that ships and holds up in production.

6,400+ learners 4.8/5 rating 40+ mentors
Why now

Data and AI skills stopped being optional.

Every team is suddenly expected to query its own data, evaluate an LLM feature, or wire up a pipeline that does not fall over. The people who can actually do that work, not just talk about it, are the ones getting hired and promoted. We teach the hands-on craft behind that confidence.

01

Learn by building

No passive video marathons. Every module ends with something you wrote, broke, fixed, and can show in an interview or a standup.

02

Real mentor feedback

Working practitioners review your actual queries, models, and code. The pointed feedback on your own work is the part that sticks.

03

Production, not toys

We push past the notebook into serving, monitoring, testing, and orchestration, the boring-but-critical work that gets you hired.

04

Small cohorts, on purpose

Tight groups mean you are seen, your questions get answered, and you finish alongside people who become your network.

A data team reviewing dashboards and charts together

Four tracks, one practical philosophy.

Whether you want to analyse, build, or ship intelligent systems, each track moves you from fundamentals to work you would be comfortable putting your name on. Pick a lane, or move across them as your career grows.

  • Data Analytics. Turn raw tables into decisions with SQL, dashboards, and clear analytical storytelling.
  • Data Engineering. Build the pipelines, warehouses, and orchestration that keep data flowing reliably at scale.
  • ML Engineering. Take models from notebook to production with solid training, serving, and monitoring practice.
  • AI. Design, evaluate, and ship LLM-powered applications and agents that actually hold up in the wild.
Featured courses

Start where you are right now.

A taste of the catalogue across analytics, engineering, and AI. Each one is project-driven and mentor-reviewed from the first week.

Data Analytics Beginner

SQL for Analysts: From Joins to Insight

Master querying, window functions, and metric design, then turn results into dashboards stakeholders trust.

$240 5 weeks
Enroll →
Data Engineering Intermediate

Building Batch & Streaming Pipelines

Design dbt models, orchestrate with Airflow, and stream events through Kafka into a warehouse you can trust.

$540 8 weeks
Enroll →
AI Intermediate

LLM App Engineering: RAG, Agents & Evals

Build retrieval pipelines, tool-using agents, and rigorous evaluations so your AI features stay reliable.

$420 6 weeks
Enroll →
6,400+ learners since 2021
92% cohort completion rate
40+ practitioner mentors
4.8/5 average course rating
How it works

Four weeks to first project, no fluff in between.

A simple rhythm that keeps you moving without overwhelming your week.

A

Pick your track

Tell us where you are and where you want to land. We help you choose a starting course that fits your level and goal.

B

Join a small cohort

Learn alongside a handful of peers and a mentor. Live sessions, async reviews, and a channel that stays useful after.

C

Build the real thing

Every week you ship a piece of a project, getting feedback on your own work rather than a generic answer key.

D

Leave with proof

Finish with portfolio-ready work, sharper instincts, and the habits that hold up once nobody is grading you.

What learners say

The feedback was the part that stuck.

I came in writing clumsy SELECT statements and left building dashboards my whole team relies on. The mentor feedback on real queries was the part that stuck.
MR Marta R.
Data Analyst, fintech

Ready to build skills that actually ship?

Browse the full catalogue, find the cohort that fits your next step, and reserve your seat while it is still open. Questions first? Reach us at hello@smart-power.top.