Build
Turn model output into reliable systems.
- Structured output
- Retrieval & RAG
- Tools & verification
AIENGINEERINGBOOTCAMP
Build systems around models.
Join the first session free — then decide to continue to the full program.
From tokens to production.
From token stream to production system.
One arc — from raw tokens to a system you can ship, each layer proven by evals before you build on it.
Tokens
The probabilistic substrate — predict cost, latency and shape behaviour before you build.
Structured Output
From free text to reliable data. Schemas, validation and repair that don’t fall apart.
Streaming & Caching
Stream responses live and serve repeat calls from cache — cut perceived latency, not reliability.
Retrieval
Ground answers in your data. Chunking, ranking and RAG that you can evaluate.
Tools
Let the model act — with schemas, permissions and verification you can trust.
Routing & Optimization
Pick the right model per task — route, adapt and optimize for quality per dollar.
Agents
Loops that plan, act and check. Know when to stop and when not to start.
Context & Memory
Give agents continuity — manage state, memory windows and what the model actually sees.
Multimodal
Beyond text — images, audio and video as first-class inputs and outputs you can evaluate.
Evals
Define good, build golden sets and prevent regressions. The only way to change safely.
Safety
Policies, guardrails and threat models — before the demo becomes a product.
Observability & Cost
Trace calls, attribute spend and know what changed. Operate with confidence.
Build, measure, and operate real AI systems.
Three capabilities, each proven in the syllabus below.
Measure
Prove quality with evals at each layer.
- Golden sets
- Regression checks
- Failure analysis
Operate
Run AI systems safely and efficiently.
- Safety & guardrails
- Observability
- Latency & cost
Start with the real first session.
There is no checkout and no application. Three steps, in order:
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Request the free first session
Send your name and email. We follow up by email with the syllabus and joining details. Requesting does not reserve a place or enroll you.
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Attend the real introductory session
Join the real first session on 22 September 2026 — concepts, a live build, and lab time.
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Decide afterward whether to continue
Continue to the month-long program only if the session proves useful. The first session is free; no payment needed.
20 Module Bootcamp Syllabus
Twenty modules from tokens to a production capstone. Browse the titles below — selecting any title opens the request form. We follow up by email with the full syllabus and first-session details.
FAQ
Is the first session really free?
Yes. The first session is a full, standalone intro — no checkout. Come, see how we work, then decide to continue to the month-long program.
How long is the program?
One month. Daily sessions (concept → live build → lab → failure analysis) + an incremental capstone.
What if I miss the start?
Email [email protected] — we’ll share the next free intro date.
Do I need ML background?
Comfortable coding and API use is enough. We teach the model substrate you need (tokens, decoding) to engineer around it.
What happens after I request?
Your request is received and we follow up by email with the syllabus and the first free session joining details. Requesting does not reserve a place or enroll you — you decide after the session whether to continue.
How do I request the free session?
Select “Request your free session”, “Request the full syllabus”, or any module title, then enter your name and email — your request is received and we’ll follow up by email with the syllabus and joining details. You can also reach us at [email protected].
Try the first session free.
The month-long course starts in September. Come to the free first session; continue only if it fits.