Cohort 12 — Applications open

Become a Professional
Learning Engineer.

A 24-week, cohort-based program where working professionals master modern engineering through live sessions, real team projects, and AI-powered interview prep.

24w

Cohort length

92%

Job placement

50+

Hiring partners

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Live now

Functions & Scope

AI mock interview

92% confidence

Pod of 4

Sprint board · 12 tasks

Demo day

50+ hiring partners

ship.ts

> cohort 12
  starts in 12d
> seats 24/60

Our graduates ship at

StripeLinearVercelNotionFigmaRampDatadogCloudflareAnthropicSupabaseRetoolRenderStripeLinearVercelNotionFigmaRampDatadogCloudflareAnthropicSupabaseRetoolRender

What we offer

Four ways in.
One outcome.

01 / 04

FLAGSHIP PROGRAM01

Professional
Learning Engineer

A 24-week cohort taught by senior engineers from top product companies. Live sessions, weekly project work, and a portfolio you'd actually show in an interview.

Live cohort · 80 seats
1:8 mentor ratio
Capstone with real users

Next cohort

June 3, 2026

Apply

Team Project

Ship in a real squad

Get matched with peers and a mentor. Build a production-grade product in 6 weeks.

Squads of 4 · 6 weeks

AI Practice

AI Mock Interviews

Unlimited realistic rounds — DSA, system design, behavioural — with detailed scoring.

Bundle · 04

SAVE 20%

Program + Project, paired week-by-week

$4,800

$3,840

See bundle

Live programs

Open cohorts.
Pick your lane.

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What we build for learners

Four practice areas.
One delivery model.

We don't sell shelfware. Each engagement ends with a system in production, owned by your team, with the runbooks to keep it that way.

Predictive Intelligence

Forecasting, risk modeling, and anomaly detection built directly into your operational pipelines. We design, train, and deploy the models — and stay accountable for their behavior in production.

Where we apply it

Risk modeling & fraud detection
Demand forecasting
Predictive maintenance

Talk to us about this

FORECAST MODELconfidence trending ↑

Outcomes

Real placements. Across real tracks.

92% of our graduates land a role aligned with their chosen track within 6 months. Here's how the last 4 cohorts placed by specialization.

2.4×

Avg salary lift

58d

Median time to offer

$148k

Median offer (US)

Placement rate by track

Cohorts 8–11

Backend / Systems92%

Full-Stack Web86%

Applied AI / ML78%

Cloud & DevOps71%

Mobile Engineering64%

Curriculum

24 weeks. Built like a real engineering org.

W 01–04

Foundations

TypeScript deep diveData structuresTesting

W 05–10

Backend & Systems

APIsPostgresDistributed basics

W 11–16

Full-stack Build

React patternsAuthRealtime

W 17–22

Applied AI

LLM appsRAGAgents

W 23–24

Capstone & Demo

Team capstoneHiring demo day

rate-limit.ts

// Week 12 · Live session
async function rateLimit(req: Request) {
  const key = ipFrom(req);
  const hits = await redis.incr(key);
  if (hits === 1) await redis.expire(key, 60);
  if (hits > 60) throw new HTTPError(429);
}

Live session · Week 12

Building production rate limiters

Our stack

The architecture of intelligence, wired for production.

We're not married to any single framework. We pick the sharpest tool for the job — and we know all of them.

12+ MODELS IN PRODUCTION

Large language models

Fine-tuned foundation models for enterprise reasoning, retrieval, and structured generation across your data surface.

Tools we use

OpenAI GPT-5Anthropic ClaudeLlama 4Mistral LargeLangChainLlamaIndex

AI Mock Interview

Practice interviews until you can't get them wrong.

Realistic mock interviews with an AI that listens, follows up, and scores you the way real interviewers do — DSA, system design, and behavioural rounds, on demand.

Adaptive questions

Difficulty adjusts to your level in real time.

Voice + code rounds

Speak your solution, write code, get scored.

Detailed feedback

Per-criteria scoring with replay and tips.

Stack

Trained on the stack you actually ship with.

Curriculum updated quarterly with hiring partners. No legacy fluff — just what runs in modern engineering teams.

Languages

TypeScript

Python

Rust

Java

SQL

Frameworks

React

Next.js

Node.js

FastAPI

Django

Spring

Cloud & Data

AWS

GCP

Kubernetes

Postgres

Kafka

Redis

AI / ML

PyTorch

LangChain

OpenAI

RAG

Vector DB

Eval

Reviews

Rated by engineers who shipped.

Every program graduate and every project buyer leaves a review. No filters, no curation.

4.9/ 5

1,240 verified reviews

Program

on Professional Learning Engineer

"Went from junior frontend to senior backend at a fintech in 7 months. The team projects were the unlock — code reviews from real seniors changed how I think."

Aanya Sharma

Senior Engineer · Ramp

Program

on AI Mock Interview

"AI mock interviews are scary good. By demo day I'd done 40+ rounds. Actual onsites felt like easier reps."

Marcus Lee

SDE II · Stripe

Project

on Realtime Analytics Dashboard

"Shipped a real-time analytics dashboard with my squad in 6 weeks. The senior mentor caught architectural issues we'd never have spotted alone."

Priya Nair

Tech Lead · Notion

FAQ

Common
questions.

Plan for 10–14 hours per week — two live sessions, one team project sync, and self-paced practice. Sessions are recorded if you can't attend live.

Get in touch

Let's build something
that actually ships.

Programs for learners, seats for companies, or email if you're not sure yet.

LEARNERS

Join a cohort

Browse live programs, pick a cycle when one is open, or join the waitlist.

Browse programs

COMPANIES

Train your team

Enfeca Business

Write to us

Questions about a program, partnerships, or a cohort — we reply within one business day.

hello@enfeca.com

Currently accepting new cohorts

Bellevue, WA · Hyderabad, IN

Join Now

Start Your First Project Today

Join thousands of learners who are building real projects, earning certifications, and launching their careers with ENFECA.

Become a ProfessionalLearning Engineer.

Four ways in. One outcome.

Professional Learning Engineer