Become an AI & ML engineer who ships.

24 weeks. Production ML, MLOps, GenAI, agents — taught by a working US engineer, not a tutorial farm.

Join cohort — $1,299 See curriculum

Why this exists

Skip the notebook theater.

Design systems, ship models, own data → API. Built for people who already code and want the $165K–$260K AI track.

24Weeks

8Phases

5+Ship projects

6yrUS prod ML

Machine Learning Foundations

Statistics, classical ML, model development — the backbone of every modern AI system.

Generative AI & LLM Engineering

LLMs, RAG, and agents that power real products — evaluated, not demoed.

Production AI & MLOps

Deploy, monitor, and scale with tools that already run in enterprise production.

Portfolio that interviews

Industry-style projects and a deployable AI product employers can open on GitHub.

Curriculum

8 Phases · 24 Weeks

Click a phase to see what's covered, why it matters, and the project you'll ship.

Phase 1 · 2 Weeks

Python for ML & AI

Starts from the ground up — no assumed Python knowledge. Week 1 builds the core language from data types through functions and file handling. Week 2 moves into the data science stack: NumPy, Pandas, Matplotlib, and a first look at Scikit-learn. By the end you write code that belongs in a real repository, not just a notebook.

Mini ProjectEDA Pipeline — clean, transform, and visualize raw data with a structured ML project layout, automated data quality checks, and full Git history.

Topics covered

Python Foundation — Week 1

Data types, variables, and operators
Lists, dicts, indexing, and slicing
If/else, for loops, and control flow
Functions, scope, and reusability
List/dict comprehensions
File handling and exception handling

Data Science Stack — Week 2

NumPy: arrays, broadcasting, vectorized operations
Pandas: DataFrames, groupby, joins, reshaping
Matplotlib: figures, subplots, custom styling
Scikit-learn: first look at the ML API and pipelines

Data Analysis & Visualization

Distributions, correlations, and outlier detection
Matplotlib, Seaborn, Plotly
Feature engineering basics
Data cleaning pipelines

Tools you'll master

Python 3.11+NumPyPandasMatplotlibScikit-learnJupyterVS CodeGitGitHubvenv / pip

Pricing

Founding cohort seats.

Create your account first, then Stripe. 7-day refund after orientation.

Self-Paced

$799~~Retail: $999+~~

All recorded video content, 8 phases, 5 production projects, and code repos. Learn on your own schedule.

✓ All 8 phases of video content
✓ 5 project repos with starter code
✓ Community Discord access
✓ Resume + GitHub review template
– 2 live sessions per week
– Weekly office hours
– Project code reviews
– 1:1 mentoring sessions

Get Self-Paced Access

Founding Cohort · Live

Founding Cohort

$1,299~~Retail: $1,799+~~

The full live experience — weekly engineering sessions, office hours, code reviews, and direct shaping of the curriculum.

✓ All 8 phases of video content
✓ 5 project repos with starter code
✓ Community Discord access
✓ Resume + GitHub review
✓ 2 live sessions per week (recorded)
✓ Weekly office hours
✓ Project code reviews from Bassa
– 1:1 mentoring sessions

Join Founding Cohort — $1,299

Mentorship

$2,499~~Retail: $3,499+~~

Everything in Cohort, plus 6 private 1:1 sessions, LinkedIn overhaul, interview prep, and direct job search strategy.

✓ Everything in Founding Cohort
✓ 6 × 60-min 1:1 sessions with Bassa
✓ Dedicated portfolio + GitHub review
✓ LinkedIn and resume overhaul
✓ Interview prep and mock sessions
✓ US job market positioning strategy
✓ Priority response via Discord

Apply for Mentorship

Instructor

Basazin "Bassa" Belhu

AI/ML engineer with 6 years in healthcare, biotech, and federal systems. Alexandria, VA — US hiring standards, US salary math.

basazinb12@gmail.com · (206) 475-5393