October cohort • applications open

Learn to build AI systems that work in the real world.

Master Programming, AI & Core Tech Skills in One Place

View learning pathsDownload syllabus
4.9/5 from 2,400+ learners
project / support-agent-v3

Knowledge base

2,840 documents · hybrid index

READY

Retrieval + reasoning

rerank / cite / verify

RUNNING

Evaluation suite

faithfulness · latency · cost

READY
QUALITY SCORE94.2%
P95 LATENCY1.8s
COST / RUN$0.04
Proof, not promises

Measured learning outcomes from our last four cohorts.

86%ship a portfolio projectwithin 8 weeks
12K+practitioners learningacross 74 countries
4.9 / 5average cohort ratingfrom verified learners
3.2×faster skill progressionvs. solo study
Choose your route

Focused paths. Production-level depth.

Each path combines concise lessons, live workshops, and a portfolio-ready build. Start where you are; leave with evidence of what you can do.

Compare all paths
FOUNDATIONS · 6 WEEKS

Applied AI Engineering

Build fluency across prompting, APIs, retrieval, evaluation, and responsible deployment.

6 weeks18 lessons
From $690View path
SPECIALIZATION · 8 WEEKS

LLM Systems in Production

Design observable, efficient systems with RAG, agents, guardrails, and test-driven evaluation.

8 weeks24 lessons
From $1,490View path
PRODUCT · 6 WEEKS

AI Product Builder

Turn an AI opportunity into a validated product with strong UX, metrics, and operational rigor.

6 weeks16 lessons
From $690View path
How it works

A tight loop from concept to shipped system.

Eight weeks of guided practice. Learn a concept, implement it, get feedback, then harden it in a real build.

Your weekly cadence
  • 90 min focused lessons
  • 1 live implementation lab
  • 1 mentor code review
  • Async studio + peer feedback
  1. 01–02

    Model intuition

    Transformers, embeddings, prompting patterns, and API fluency.

  2. 03–04

    Grounded systems

    Retrieval, chunking, reranking, citations, and tool use.

  3. 05–06

    Quality by design

    Evaluation datasets, observability, safety, latency, and cost.

  4. 07–08

    Ship and iterate

    Production architecture, deployment, feedback loops, and demos.

Learner signal

Career momentum you can point to.

Our learners do more than complete lessons. They change roles, raise the quality bar on their teams, and ship systems people trust.

“The academy replaced six months of scattered tutorials with a clear build–measure–improve loop. I shipped a credible RAG system and could finally explain every tradeoff.”
NWNoah WilliamsData analyst → AI engineer
Hired in 10 weeks
“The evaluation module changed how our team works. We stopped demo-driven development and started making decisions from test sets, traces, and user signals.”
PSPriya ShahSenior product manager
Promoted to AI product lead
“The mentor reviews were exacting and practical. My capstone became the architecture we now use for an internal support copilot.”
MLMarcus LeeFull-stack developer
Pilot adopted at work
Next cohort begins 19 October

Your first production-grade AI build starts here.

Join the 8-week cohort for $1,490. Includes every lesson, live lab, mentor review, community access, and a verified project credential.

  • 14-day guarantee
  • Split pay available
  • Lifetime lesson access

Get the full syllabus

See the week-by-week plan, project briefs, and enrollment options.

No spam. One useful email, then you decide.

FAQ

Frequently Asked Questions.

Still deciding? These are the questions we hear most from thoughtful learners and their managers.

Do I need a computer science background?

No. You should be comfortable with basic Python or JavaScript, APIs, and learning by building. A short pre-course primer closes common gaps.

How much time should I plan each week?

Most learners spend 6–8 hours: about 90 minutes of lessons, a live lab, project work, and one focused feedback cycle.

Are sessions live or self-paced?

Both. Lessons are self-paced; labs, office hours, and project critiques run live and are recorded for your cohort.

What do I finish with?

A deployed AI system, evaluation report, architecture narrative, recorded demo, and verified credential for your portfolio.

Can my company sponsor me?

Yes. We provide invoices, team bundles, manager progress summaries, and a concise learning-outcomes brief for L&D approval.

What if the cohort is not a fit?

You can request a full refund within 14 days of the cohort start, provided you have completed less than 25% of the material.

Have a different question?Talk to an advisor →