Syntax Academy
For the job you already have. And the next one inside it.

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Focused courses in SQL, Python, AI workflows, LLM apps, and test automation — built for the marketer, analyst, PM, support lead, or engineer who wants to compound value where they already work. Without quitting.

0%promoted within 6 months
0h/wkavg time reclaimed
0.0★2,800+ reviews
0focused courses · no fluff
See it in action — a real lesson, right now
🔒 app.syntaxacademy.com/learn/llm-agents
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47 day streak
AI Engineering Path
Build & Ship LLM Agents
64%
01 · LLMs from first principles
14 lessons · 1h 12m
02 · Prompt engineering
9 lessons · 48m
03 · Build a RAG pipeline
Lesson 7 of 12
Live
04 · Agents & tool use
11 lessons
05 · Evaluation & guardrails
8 lessons
06 · Ship to production
Capstone project
Module 3·Lesson 7 of 12·RAG · Retrieval

Chunking strategies for production RAG

“When your document gets longer than the context window, you have three options. Let's look at semantic chunking first…”
Live exercise
def chunk_text(text, size=512):
# your code here ▍
chunks = [...]
return chunks
Mentor note · Reviewed by Marcus
Nice instinct on the overlap window. Try varying it from 50→200 tokens and see how retrieval recall changes. Real production tip.
Live now234 online
M
Marcus R.2m
Just shipped chunk_text 🎉
A
Aisha P.4m
Anyone else getting weird vectors?
Y
Younow
Working through the exercise…
S
Sara K.8m
Mentor session at 7?
Next mentor call
Wed · 7:00 PM EST
RAG pipelines · Marcus Rivera
Automation shipped
14 h/wk reclaimed · still at the same company
Sara — Stripe
Analyst → Sr. Analyst
in 5 months. Same team. +18% comp.
SQL✦Python✦AI Workflows✦LangChain✦Cypress✦dbt✦Pinecone✦n8n✦RAG✦Pandas✦Eval Harnesses✦SQL✦Python✦AI Workflows✦LangChain✦Cypress✦dbt✦Pinecone✦n8n✦RAG✦Pandas✦Eval Harnesses✦
Students compounding value at
GoogleAmazonMicrosoftMetaAdobeStripeShopifySalesforce
Workshop concierge · matched to our AI workshops

What's slowing you right now?

Tell us in one sentence what you're looking for. We analyze it and point you to the AI workshop that pays off fastest for where you are right now.

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// the catalog

Focused courses.
One for the version of you who gets promoted.

We're not a catalog of 200. Each course is rebuilt against what the market actually pays.

The method

Here's how we keep you
two steps ahead of the market.

Listen

We scrape 50,000+ job postings every week

Real-time market signal — not what was hot 3 years ago when the curriculum was written.

01
signals.livelast 7 days
› RAG pipelineStripe+428
› LLM agentsAnthropic+342
› Vector DBsPinecone+286
› Prompt engineerMeta+212
› SQL · analyticsShopify+180
› jQuery—−74
Rebuild

Curriculum is re-cut every quarter

Senior practitioners from FAANG and high-growth startups write new modules whenever the market moves.

02
Curriculum diff · Q1 ’26v17.0
+Module: Agentic RAG with tool-use
+Module: Vector DB perf tuning
+Module: Eval frameworks (RAGAS)
~Updated: Prompt engineering basics
−Removed: Vanilla GPT-3 examples
−Removed: “AI safety theory” module
Teach

You learn by building. Reviewed every week.

Real APIs, real datasets, real codebases. Mentors review your work — not a TA, not an LLM.

03
MR
Marcus reviewed your PR
2 minutes ago · RAG capstone
# chunker.py
def chunk(text, size=512):
+ overlap = 100 # prod tip!
“Try varying overlap 50→200 to see retrieval recall change. Real prod tip.”
Ship

You leave with a portfolio that closes interviews

Capstone projects you can demo on a call. Outcomes tracked. Career support until you sign.

04
Your portfolio3 shipped
RAG pipeline · Anthropic API↗ live
LLM eval dashboard↗ live
Agent for support triage↗ live
Interview booked. Stripe · Senior ML Engineer
// ship.timeline

In 90 days you'll have receipts
your manager already saw.

Every milestone is something your current team uses. Not a side project. Not a certificate.

day
14
First automation
# slack · #marketing-ops
📊 weekly-attribution-bot
Posted Mon report. ↑ 4.2% MQLs.
Saved 6h prep · ran 0.4s

A workflow your team actually uses.

A real n8n or SQL automation that removes a tedious task. Shipped to a Slack channel, not a portfolio.

day
30
Team dashboard
team / weekly14 viewers today
run rate: +8.2% WoW

A dashboard people open every Monday.

Numbers your team makes decisions from. The first time you control the narrative in a review.

day
60
1:1 receipts
Q1 wins · 1-pager
Cut weekly report from 6h → 20min✓
Built attribution dashboard (14 users)✓
Shipped AI deflector → 38% tickets✓

A case study for your next 1:1.

Before/after metrics. Hours saved. Bugs cut. The page you screenshot when you ask for the title bump.

day
90
The conversation
calendar · this week
Mon 2pmPromo case w/ manager
Wed 11amSkip-level w/ Director
Fri 4pm→ New title: confirmed

You make the promotion case.

You walk in with three shipped wins, three numbers, and a name your team uses for what you do. The case writes itself.

The faculty

Practitioners shipping today.
Not professors of yesterday.

Every instructor is currently shipping production work at the companies you'd want to hire into. They teach the way they actually work.

MR
Path lead · AI / ML
Marcus Rivera
Senior ML Engineer · Adobe
ex-Googleex-Hugging Face Verified
Built RAG infra at Adobe. Spent 6 years on LLM teams at Google. Teaches the AI Engineering path.
“If I can’t demo the technique on a Friday afternoon for my own team, I won’t teach it on a Monday.”
3,200+
students taught
4.95
avg rating
SK
Path lead · Data
Sara Khalid
Data Lead · Stripe
ex-Airbnbex-Block Verified
Leads payment-fraud analytics at Stripe. 8 years turning messy data into board-ready stories. Owns the Analyst path.
“SQL fluency is non-negotiable. Storytelling on top of it is what gets you promoted.”
2,800+
students taught
4.92
avg rating
AP
Path lead · QA
Aisha Patel
QA Architect · Shopify
ex-Atlassianex-Twilio Verified
Owns the e2e test platform at Shopify. Wrote the playbook for QA → SDET transitions. Heads the QA path.
“Manual QA isn’t dead — manual QA *only* is. Bridge to automation in a quarter or get left behind.”
1,900+
students taught
4.88
avg rating
// compounding.log

The output that matters in 2026:
raises, promotions, scope.

Not job-hopping. Not bidding wars. The boring magic of becoming the person your team can't replace — and getting paid like it.

compounding.live — last 30 days
184 promotions · 41 raises · 0 layoffs
datestudentmoveatcourseoutcome
2026-03-22Sara K.Marketing analyst → Sr. AnalystStripen8n + sql+18% comp · 5 mo
2026-03-20Marcus R.Backend eng → AI engineerAdobellmLead on AI initiative
2026-03-18Aisha P.Manual QA → QA LeadShopifycypressPromotion · 7 mo
2026-03-16Lin T.Support manager → Ops automationZapiern8n14 h/wk reclaimed
2026-03-14Raj V.Junior analyst → Sr. Data AnalystMicrosoftpython+22% comp · 6 mo
2026-03-12Jonas M.PM → AI Product LeadAnthropicllmNew scope · same role
2026-03-10Priya S.Marketing manager → Growth LeadDatadogsqlPromotion · 4 mo
2026-03-08Kai O.Support agent → AI workflow leadCursorn8n+12% comp
... + 219 more compounding moments this month./show —all
0%
promoted within 6 months
0h
avg weekly time reclaimed
+0%
median comp lift, in-job
0%
still at the same employer
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