An AI engineer certification that joins both engineering tracks into one continuous path, from TypeScript fundamentals through to agents that coordinate without supervision. Instructor-led, on site or live online, with no prior AI experience needed.
Foundations and Architecture bought as one AI engineer certification. Nothing is assumed at the start and nothing is repeated in the middle — the advanced half opens exactly where the first half closed.
No AI experience required, and no prerequisite to clear. Module one starts with the TypeScript patterns everything else is built on.
Groups that want every engineer on the same patterns, the same providers and the same language rather than a scatter of pilots.
The first feature ships while the program is still running, and the same people scale it, secure it and put it under monitoring without a second round of training.
Teams that learn the basics and stop there rebuild everything a year later. This AI engineer certification is both levels as one path, from the first API call to agents running in production: eight modules of foundations, then eight of architecture, each closing with a hands‑on project.
TypeScript, async patterns, Zod, Node backends.
Learning objectiveStay in TypeScript throughoutOne language from the first module to the capstone, so nothing is rewritten for production.
Certify Your TeamTokenisation, context windows, embeddings.
Learning objectiveKnow when not to use a modelSpot hallucination failure modes and token cost traps before users do.
Certify Your TeamOpenAI, Anthropic, Gemini, streaming, tool use.
Learning objectiveIntegrate LLM APIs in productionPut a model into a live feature and switch providers without rewriting it.
Certify Your TeamChunking, vector databases, LangChain, Mastra.
Learning objectiveBuild a RAG pipeline end to endGround answers in your own documents, inside a working application.
Certify Your TeamMastra, VoltAgent, tool use, memory.
Learning objectiveShip agents with tools and memoryAgents that finish real tasks on their own, not demos.
Certify Your TeamReact, NestJS, LangChain, deployment.
Learning objectiveWork to production standardsRetry logic, cost estimation and graceful failure — the parts that only matter when something breaks.
Certify Your TeamBias, evaluation, EU AI Act, security.
Learning objectiveApply evaluation, security and the EU AI ActShow that a system is accurate, fair, secure and compliant before it goes live.
Certify Your TeamA complete application, built and presented live.
Learning objectiveKeep a deployed capstonePresented live, left running after the AI engineer certification ends and owned by the team.
Certify Your TeamCoT, ReAct, Self‑Ask, injection defence.
Learning objectiveEngineer the reasoning, not just the promptEvery intermediate step can be inspected and audited, rather than trusted as a black box.
Certify Your TeamGraphRAG, Milvus, entity linking.
Learning objectiveRetrieve on meaning and on structureAnswers cite the facts and the relationships between them, not just the closest match.
Certify Your TeamModelFusion, Weaviate, vision, audio.
Learning objectiveBuild across every modalityOne TypeScript abstraction for every input type, instead of a separate pipeline for each.
Certify Your TeamTypeAI, generics, caching, retry logic.
Learning objectiveMake model calls reliable and reusableComponents the whole team can share, that recover from failures and cut repeat cost.
Certify Your TeamMicroservices, auth, observability, serverless.
Learning objectiveStand systems up to enterprise requirementsDelivered on AWS, GCP or Azure, and ready for the review a demo never faces.
Certify Your TeamReact, streaming UI, Zod‑validated prompts.
Learning objectiveDefend the attack surfacePrompt injection defence and input sanitisation from the interface inward, because production AI is a high‑value target.
Certify Your TeamLangGraph, multi-agent, tiered memory.
Learning objectiveCoordinate agents that run unsupervisedDomain‑specialised agents that hand work to each other across long workflows, without a person in the loop.
Certify Your TeamAn advanced build, presented live.
Learning objectiveDefend the architecture you builtDesigned, deployed and argued for live, the way it would be in a real design review.
Certify Your TeamThe advanced half is not a repeat. It assumes everything taught before it and moves on, with no recap padding in the middle.
Both tracks are TypeScript native. Patterns, idioms and tooling stay consistent across all sixteen modules.
The first half gets the team shipping and the second gets it scaling. The gap between working locally and running in production is the curriculum.
Two build-and-present moments, one at the end of each half of the AI engineer certification. The team leaves with two projects, not one.
Every module closes with a reviewed hands-on project, and the advanced half of the AI engineer certification adds more than twenty quizzes and scenario assessments.
A Gen AI Stack Certificate per participant, earned across both tracks and both capstones rather than collected in pieces.
An AI engineer certification: Foundations and Architecture taught as one continuous path, from the first API call through retrieval and orchestration to agents that coordinate without supervision.
30+ hours across sixteen modules, instructor-led, on site or live online, with two capstone projects.
Engineering teams that want the whole path in one engagement rather than two separate programs months apart.
No. The first half of the AI engineer certification assumes professional software experience only. The second half builds directly on what the first half delivered.
Two capstones, one for each half, and a single Gen AI Stack Certificate covering both.
The AI engineer certification is built for the group and priced on team size, level and timeline.
Build production-grade agentic AI in TypeScript — LLM integration, RAG pipelines, agents and a capstone you deploy and keep.
Learn More →Design agentic systems that survive production — hybrid retrieval, knowledge graphs, multimodal pipelines and agents that coordinate.
Learn More →21 hours building production multi-agent systems — anatomy, orchestration, guardrails and a launch review.
Learn More →One AI engineer certification, and no gap between what your juniors learn and what your seniors ship.