GenAI Foundations Certificate — Product Led Hub
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GenAI Foundations Certificate

Build Production-Grade
AI Systems with TypeScript

A complete 8-module certificate program covering everything from LLM fundamentals to agentic AI, RAG pipelines, real-world web applications, and responsible AI deployment — using TypeScript end to end.

View Curriculum Get Certified
8
Core Modules
15+
Hours of Content
TS
TypeScript Native
1
Final Capstone Project
Curriculum

Eight Modules.
One Complete Engineer. Get Certified

Each module builds on the last — from TypeScript foundations through production-ready agentic systems, evaluated with hands-on projects throughout.

Module 01 // Fundamentals
Fundamentals for AI Engineers
TypeScript essentials for AI work. Types, interfaces, generics, async/await, streaming patterns, Zod validation, and building AI backends with Node.js and Express.
TypeScript Async/Await Zod Node.js
Module 02 // Foundations
Foundations of Generative AI
How LLMs work: tokenization, context windows, model selection, prompt engineering fundamentals, embeddings, and a RAG pipeline conceptual introduction. Hands-on token counter tool and first API calls.
LLMs Embeddings Prompt Eng. RAG Intro
Module 03 // Integration
Working with LLMs using TypeScript
Production-ready LLM integration: OpenAI, Anthropic, Gemini, and Vercel AI SDKs. Streaming responses, function calling, tool use, error handling, content moderation, and advanced prompting techniques.
OpenAI SDK Claude Streaming Tool Use
Module 04 // Retrieval
RAG with TypeScript
Retrieval-Augmented Generation end-to-end. Document chunking, vector databases (pgvector, Pinecone, Weaviate, Qdrant), LangChain vector stores, and Mastra framework integration.
RAG LangChain Pinecone Mastra
Module 05 // Agents
AI Frameworks & Agent Development
Agentic AI with Mastra, VoltAgent, and LLM-EXE. Tool use, memory, multi-provider APIs, function calling, Zod-typed workflows, and building specialized agents for real tasks.
Agents Mastra VoltAgent Memory
Module 06 // Applications
Building Real-World GenAI Web Apps
End-to-end GenAI applications with React, Node.js, Express, and LangChain. Chatbots with chat history, vector-based retrieval, NestJS backends, Redux state, and deployment strategies.
React NestJS LangChain Deployment
Module 07 // Ethics & Security
Ethics, Evaluation & Security
Bias, hallucination detection, safety challenges, model evaluation metrics, regulatory trends, EU AI Act compliance, multimodal search, and security pipelines for production AI.
Ethics Evaluation EU AI Act Security
Module 08 // Capstone
Final Project
Build and present a complete GenAI application — a RAG Q&A system, autonomous AI agent, multimodal app, or domain-specific chatbot — reinforcing all prior learning in a real-world scenario.
Capstone RAG Multimodal Deploy
Design Principles

How This Program
Is Built Get Certified

⌥
TypeScript Native
Every concept, every project, every line of code is TypeScript. No context-switching. No translation overhead. The language of production AI engineering — from day one.
⟳
Hands-On First
Each module closes with a working project. Token counters, RAG pipelines, deployed chatbots. Concepts don't live in slides — they live in running code that you own.
▲
Production Standards
Error handling, retry logic, cost estimation, content moderation, security — the unglamorous parts that separate demos from deployed systems are treated as first-class citizens.
◈
Multi-Provider Fluency
OpenAI, Anthropic Claude, Google Gemini, Mastra, LangChain — you'll work across the real ecosystem, not locked to a single vendor's happy path.
⧫
Realistic Expectations
We cover when NOT to use GenAI, failure cases, and hallucination risks alongside capabilities. Engineering judgment requires knowing the limits of your tools.
⬡
Ethics Embedded
Responsible AI isn't a bolt-on module — ethical and compliance thinking runs throughout. EU AI Act, bias detection, and security are integrated from foundations to capstone.
Program Schedule

Structured for
Working Professionals Get Certified

Eight sequential modules, each self-contained with a hands-on project. Move at cohort pace or asynchronously — the curriculum adapts to your organisation's timeline.

MOD 01
Fundamentals for AI Engineers TypeScript · Async Patterns · Error Handling · Zod
Foundation
MOD 02
Foundations of Generative AI LLM Architecture · Embeddings · Prompt Engineering · SDK Overview
Concepts
MOD 03
Working with LLMs using TypeScript Multi-SDK · Streaming · Function Calling · Safety
Integration
MOD 04
Retrieval-Augmented Generation (RAG) Vector DBs · Chunking · LangChain · Mastra
Retrieval
MOD 05
AI Frameworks & Agent Development Mastra · VoltAgent · LLM-EXE · Memory & Tools
Agentic
MOD 06
Building Real-World GenAI Web Apps React · NestJS · LangChain · Deployment
Applications
MOD 07
Ethics, Evaluation & Security Bias · Hallucination · EU AI Act · Compliance
Governance
MOD 08
Final Project — Capstone Build RAG · Agents · Multimodal · Live Presentation
Capstone
Why Enroll

Six Reasons This
Certificate Changes Your Work Get Certified

Not theory. Not slides. Six real engineering arguments for why the Foundations Certificate is the right investment right now.

01
Production, Not Demo
Every module is built around what real systems require — error handling, retry logic, cost estimation, content moderation, and security. Skills that only matter when something breaks in production. Which is always.
02
TypeScript End-to-End
All 8 modules, all codebases, all examples — TypeScript. No context-switching between Python notebooks and your actual stack. The language your team already uses becomes your AI engineering language from day one.
03
Frameworks You'll Actually Ship
OpenAI, Anthropic Claude, Google Gemini, LangChain, Mastra, VoltAgent — you'll work across the real ecosystem, not locked to a single vendor's happy path. Multi-provider fluency is a 2026 engineering superpower.
04
A Capstone You Keep
The final module is a build-and-present project — a RAG Q&A system, autonomous agent, multimodal app, or domain chatbot. You leave with real, deployable code and a portfolio project, not a certificate of attendance.
05
Realistic on Failure
We cover when NOT to use GenAI, hallucination failure modes, token cost traps, and model selection trade-offs alongside capabilities. Engineering judgment is knowing the limits of your tools as well as their strengths.
06
The Gateway to Architecture
This certificate is Track 1. Graduates unlock the Architecture Certificate — advanced prompting patterns, RAG+KAG, knowledge graphs, multimodal AI, and enterprise-grade autonomous agents. One path, two credentials.
◈
Ship AI Features Faster
Eliminate the trial-and-error cycle with patterns that work in production from the first module.
◈
Reduce Engineering Risk
Type-safe AI functions, Zod validation, and retry logic mean fewer incidents and faster debugging.
▲
Certify Real Skills
Module-by-module assessments and a live capstone. Verifiable competency for hiring and promotions.
⬡
Unlock Track 2
Foundations graduates can directly upgrade to the Architecture Certificate.
Enroll

Ready to Build
Production AI?

Join the GenAI Foundations Certificate and take your team from prompt experimentation to production-grade TypeScript AI engineering — with the frameworks, patterns, and judgment that the real world demands.

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