Why Enroll — GenAI Complete Program · Product Led Hub
Why Enroll — GenAI Training 2026

The Case for
Building Real
AI Systems Now

Not theoretical. Not toy demos. TypeScript-native AI engineering skills that ship to production — across two certificates, sixteen modules, and two capstone projects that become your portfolio.

Enroll Now → View Full Program
16
Total Modules
30+
Hours of Content
2
Certificates
2
Capstone Projects
TS
TypeScript Native
The Case

Six Reasons to
Enroll This Year Enroll Now

AI engineering is no longer optional — it's the defining capability of software teams in 2026. Here's why this program is the right investment.

01
Production, Not Demo
Every module is built around what real systems require: error handling, retry logic, cost estimation, content moderation, security, and monitoring. Skills that only matter when something breaks in production — which is always.
02
TypeScript End-to-End
All 16 modules, all codebases, all examples — TypeScript. No context switching between Python notebooks and your actual stack. The language you already use becomes your AI engineering language from day one.
03
Two Tracks, One Path
The Foundations Certificate gets your team shipping. The Architecture Certificate gets them designing. Together, they cover the complete gap from "we have an API key" to "we have a scalable, monitored, multi-agent system."
04
Frameworks You'll Actually Use
OpenAI, Anthropic, Gemini, LangChain, Mastra, VoltAgent, LangGraph, ModelFusion — real-world ecosystem breadth, not vendor lock-in. Multi-provider fluency is an engineering superpower in 2026.
05
Portfolio-Ready Capstones
Two build-and-present projects — one at Foundations level, one at Architecture level. You don't just study AI systems; you ship them, defend your architecture, and leave with two real projects on your record.
06
Ethics Woven In, Not Bolted On
EU AI Act compliance, bias detection, hallucination handling, prompt injection defense, and security pipelines aren't a single optional module — they're present across both tracks, because responsible AI is a system design discipline.
■
Ship AI Features Faster
Eliminate the trial-and-error cycle. Learn patterns that work — streaming, tool use, structured outputs — from engineers who've already hit the production walls.
●
Design Hybrid Systems
Move beyond single-model RAG. GraphRAG, knowledge graphs, multi-agent coordination, and enterprise observability — the architecture layer that separates MVPs from scalable systems.
▲
Reduce Engineering Risk
Type-safe AI function definitions, Zod validation, retry mechanisms, and circuit-breaker patterns. Fewer production incidents, faster debugging, and AI code that your whole team can read.
⬭
Certify Your Team's Skills
Two digital certificates, two capstone assessments, structured module-by-module testing. Verifiable competency for hiring, promotions, and client conversations.
Track Comparison

What Each Track
Covers Enroll Now

Not sure which certificate to start with? Compare what's covered at each level — then decide whether to start with Foundations, Architecture, or the complete bundle.

Capability Foundations Certificate Architecture Certificate
TypeScript for AI✓ Full coverage✓ Advanced patterns
LLM API integration✓ Multi-SDK✓ Enterprise auth + monitoring
Prompt engineering✓ Fundamentals✓ CoT · ReAct · Self-Ask
RAG systems✓ Full pipeline✓ + KAG + GraphRAG
Knowledge graphs—✓ Entity linking · Milvus
Multimodal AI✓ Conceptual intro✓ Full implementation
Agent frameworks✓ Mastra · VoltAgent✓ LangGraph · Multi-agent
Multi-agent systems—✓ Protocols · Domain specialisation
Enterprise observability—✓ ModelFusion hooks · Dashboards
Serverless deployment✓ Basics✓ AWS · GCP · Azure CI/CD
Prompt engineering UI—✓ React · Version control
Ethics & EU AI Act✓ Dedicated module✓ Integrated throughout
Prompt injection defense✓ Basics✓ Full middleware
Capstone projects✓ Capstone I✓ Capstone II
PrerequisitesNoneFoundations or equivalent
From our Students

What Engineers
Say After Completing

The RAG + KAG module alone was worth the entire Architecture Certificate. We shipped a legal document retrieval system with knowledge graph reasoning the week after. It would have taken us months to get there alone.
Dimitris P. Senior Engineer · Nokia
I came in knowing Python AI but not TypeScript. By Module 3 I was more comfortable in the TypeScript SDK than I'd ever been with OpenAI's Python library. The type safety alone cut our debugging time in half.
Lena M. Full-Stack Engineer · Deloitte
Our team enrolled in the complete bundle. Five engineers, two certificates each. The shared vocabulary — ReAct patterns, KAG, LLMOps — has made our architecture reviews dramatically faster and more precise.
Nikos T. VP Engineering · Netcompany
Program Pages

Explore Every
Part of the Program

// Track 1 · Level 1
GenAI Foundations Certificate
The complete overview of all 8 Foundations modules — TypeScript fundamentals through RAG systems, agent frameworks, real-world web apps, and ethics.
8 Modules 40+ Hours
→
// Track 2 · Level 2
GenAI Architecture Certificate
The complete overview of all 8 Architecture modules — advanced prompting patterns (CoT, ReAct, Self-Ask), RAG+KAG integration, multimodal AI, and enterprise systems.
8 Modules 50+ Hours
→
Ready

Stop Prototyping.
Start Engineering.

The GenAI Complete Program is the structured path from TypeScript basics to enterprise autonomous systems — with the real tools, real patterns, and real project output that matter in production.

Enroll Now →