Cohort 9 · Apr 7, 2026 · 6 seats left

Build YourFirst NeuralNet in 12 Weeks

A twelve-week intensive for analysts, developers, and CS grads who want to ship production ML — not just run notebooks.

94%placement rate within 90 days
+$41kmedian salary increase
12 wksfrom Python loops to production
8cohorts shipped, 0 refunds
PyTorch·Neural Networks·Computer Vision·NLP & Transformers·FastAPI Deployment·Docker + CI/CD·Recommendation Systems·Production MLOps·PyTorch·Neural Networks·Computer Vision·NLP & Transformers·FastAPI Deployment·Docker + CI/CD·Recommendation Systems·Production MLOps·
01Graduate Story
01
Module 3Embeddings & Recommendation Systems
Maya Chen profile photo, Epoch graduate

Maya Chen

ML Engineer · Shopify

Before Epoch

Business Intelligence Analyst, Retail Corp

$68,000 / yr

"I spent three years building dashboards nobody acted on. I could see patterns in the data that the models missed — I just couldn't build the models."

After Epoch

ML Engineer · Shopify

$118,000 / yr

+$50ksalary increase
"Week 5 was the moment it clicked. I went from knowing what a dot product was to understanding why it's the foundation of every recommendation system at scale."
Personalized Product Recommendation Engine capstone project screenshot

Personalized Product Recommendation Engine

Maya built a collaborative filtering + content-based hybrid recommender trained on 2.3M user interactions. Deployed as a REST API serving sub-40ms recommendations, integrated into a mock e-commerce storefront. Achieved 23% simulated click-through lift over baseline.

PyTorchFastAPIRedisDockerPandasSurprise
02Graduate Story
02
Module 6Computer Vision with CNNs
Devon Park profile photo, Epoch graduate

Devon Park

ML Engineer — Computer Vision · Bright Machines

Before Epoch

Junior Frontend Developer, Agency

$72,000 / yr

"I was the most junior person in every room. I wanted to work on something that felt like the future, but every ML tutorial assumed I already had a PhD."

After Epoch

ML Engineer — Computer Vision · Bright Machines

$131,000 / yr

+$59ksalary increase
"Nobody had ever shown me how the pieces actually connect — the data loader, the training loop, the deployment container. Epoch made it one continuous build, not a series of isolated tutorials."
Real-Time Defect Detection CV Pipeline capstone project screenshot

Real-Time Defect Detection CV Pipeline

Devon trained a custom YOLOv8 model on a synthetic manufacturing dataset, achieving 91.4% mAP on held-out test images. Built a live webcam inference demo with bounding box overlays and a FastAPI endpoint that processes 24 frames per second on a T4 GPU.

YOLOv8OpenCVPyTorchFastAPICUDAAlbumentations
03Graduate Story
03
Module 9NLP, Transformers & Deployment
Priya Nair profile photo, Epoch graduate

Priya Nair

Staff ML Engineer · Ironclad

Before Epoch

CS Graduate, University of Texas

$0 — searching

"My degree covered algorithms and systems. I could pass a LeetCode screen. But every ML job posting wanted production experience I had no idea how to get."

After Epoch

Staff ML Engineer · Ironclad

$168,000 / yr

+$168ksalary increase
"I got the offer during Week 11. The hiring manager said my capstone looked like something their team would have spent a sprint building. That's what Epoch gave me — not theory, but evidence."
Production NLP API — Contract Clause Analyzer capstone project screenshot

Production NLP API — Contract Clause Analyzer

Priya fine-tuned a DistilBERT model on 14,000 labeled contract clauses to classify risk level and extract key obligations. Shipped as a containerized API on AWS Lambda with <200ms cold start. The project landed her a staff-level offer before she even graduated from the cohort.

HuggingFaceDistilBERTFastAPIAWS LambdaDockerspaCy
Reserve Your Seat
Cohort 9 · Apr 7, 2026 · 6 seats remaining

Ready to Ship Your
First ML Model?

Three grads. Three real projects. One question: what will you build?

Reserve Your Seat — Cohort 9

Tuition: $4,800 · Payment plans available · Full refund before Day 7

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Download the Full Syllabus

12 weeks of curriculum, project briefs, and toolchain specs. See exactly what you'll build.

Full refund before Day 7

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8 cohorts, 247 graduates

94% placed in ML roles within 90 days of graduation.

Live sessions, not recordings

Every week: 2 live labs, 1 code review, office hours.