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Switch to AI / ML / DS

Python Machine Learning Course

Master Agentic AI, LangChain, RAG, and ML with FAANG+ mentorship, real-world projects, and interview preparation.

Intermediate12 weeksLive cohort and projectsSoftware Engineers
Save my spotSee the curriculum
Program brief

What this program is

Python Machine Learning Course is a intermediate, 12 weeks live program that takes you from fundamentals to a portfolio-ready outcome. Taught by senior practitioners, it blends weekly live sessions, hands-on projects and mentorship, so you finish with real, demonstrable skills and the confidence to use them at work and in interviews.

What's included

Everything the program comes with

Live, mentor-led program
Weekly live sessions plus lifetime recordings
Hands-on guided and capstone projects
One-to-one mentorship, code and Q&A reviews
Private community and alumni network
Certificate of completion
Career, resume and interview support
Free repeat if you miss a cohort

Who this is for

  • Software Engineers aiming to switch to ai / ml / ds
  • Best suited to intermediate-level practitioners
  • People who learn by building, not just watching
  • Anyone targeting FAANG+ teams and AI-first roles

Why this is for you

  • Learn the exact skills top teams hire for right now.
  • Build a portfolio project you can demo in interviews.
  • Get unstuck fast with live mentorship and reviews.
  • Join an alumni network that opens doors at FAANG+ companies.
Curriculum

Course curriculum

Week by week: what you will learn and build.

Week 1Foundations and setup
  • Core concepts and mental models
  • Tooling and workflow setup
  • Your first hands-on exercise
Weeks 2 to 3Core skills
  • The techniques the role uses daily
  • Guided practice with feedback
  • Reading and reviewing real code
Weeks 4 to 5Going deeper
  • Harder problems under time pressure
  • Design and trade-off reasoning
  • Common failure modes and how to avoid them
Weeks 6 to 7Build: guided project
  • Scope and plan your build
  • Ship it with mentor review
  • Measure and iterate on results
Week 8 onwardScale and ship
  • Harden for production
  • Present your work to a panel
  • Interview simulation and feedback
Projects

Live guided projects plus capstones you own

Project 1

Core build

A mentor-guided project you complete step by step during live sessions.

Project 2

Integrate and evaluate

Connect tools and data, then measure results with expert feedback.

Project 3

Optimise and scale

Harden your build for production with reviews on performance and reliability.

Learn from the best

Instructors and mentors

Senior engineers and hiring managers who sit on the other side of the interview table.

AEAhmed ElbagourySenior ML and Software Engineer, Google, 11 yrsgoogle
RKRavi KumarPrincipal Engineer, Googlegoogle
PNPriya NarayanSenior Engineering Manager, Metameta
DFDaniel FosterStaff ML Engineer, Netflixnetflix
Schedule

A 12 weeks commitment, built around a job

2 hrs / week

Live sessions

Weekly lectures and in-class exercises.

2 hrs / week

Projects

Build alongside the lessons with mentor reviews.

3 hrs / week

Async content

Assigned readings, videos and other materials.

About 7 hours a week, over 12 weeks.

In their words

Real switches, in their words

The mock interviews were brutally realistic, so by interview day nothing surprised me. I went from rejections to a senior offer at Google with a 70 percent comp bump.
Jordan M.
Startup to Google
I switched from a pure analytics role into data science. The projects were portfolio-grade and the coaching kept me accountable every single week.
Neha S.
Analyst to Amazon
The EM track demystified the leadership and people-management rounds. My instructor was an actual Meta EM, and that perspective was priceless.
Alex T.
Senior SWE to Meta EM
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See Python Machine Learning Course in action, live this week

Meet the instructor, see the curriculum, and get a personalised roadmap in 60 minutes.

Reserve your free seat

No payment required. Live and cohort-based, with dedicated career coaching.