On Demand Gen AI Training
GenAI Architecture Certificate

Design Intelligent Systems
That Scale to Production

An 8-module advanced certificate covering sophisticated prompting patterns, hybrid RAG+KAG pipelines, multimodal AI, agentic systems, and enterprise-grade architecture — all in TypeScript.

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8
Training Modules
18
Hours on Demand Training
20+
Quizzes & Assessments
1
Certificate Of Completion
!
Prerequisites

This certificate builds directly on the GenAI Foundations Certificate. Participants should be comfortable with TypeScript, LLM API integration, RAG fundamentals, and basic agent patterns before enrolling in this track.

Curriculum

Eight Modules.
Architect-Level Mastery. Get Certified

From advanced prompting theory to autonomous multi-agent systems — each module delivers production patterns you can deploy immediately in TypeScript.

Module 01 // Prompting
Advanced Prompt Engineering Patterns
Chain-of-Thought, ReAct, Self-Ask, and Tree-of-Thought prompting implemented in TypeScript. Thought-action-observation cycles, LangChain agent scratchpads, and prompt injection defense strategies.
CoT ReAct Self-Ask Injection Defense
Module 02 // Retrieval
RAG + KAG Integration
Combine vector retrieval with Knowledge Graph reasoning. GraphRAG with Milvus, entity linking, mutual-indexing, relationship traversal, and hybrid pipelines for legal, research, and support domains.
KAG GraphRAG Milvus Knowledge Graphs
Module 03 // Multimodal
Multimodal AI Development
Build AI applications that handle text, images, audio, and video using ModelFusion as a TypeScript abstraction layer. Any-to-any architectures, Weaviate integration, Reka and Gemini comparison, on-device deployment.
ModelFusion Weaviate Gemini Vision
Module 04 // Patterns
Advanced Patterns for AI Applications
TypeAI toolkit for type-safe AI functions, generics and higher-order functions for reusable AI components, robust retry mechanisms, exponential backoff, and caching strategies for LLM responses.
TypeAI Generics Caching Retry Logic
Module 05 // Enterprise
Enterprise-Grade AI Systems
Scalable microservices architectures, authentication and authorization for AI endpoints, ModelFusion observability hooks, monitoring dashboards, and serverless deployment on AWS Lambda, GCP, and Azure.
Microservices Auth Observability Serverless
Module 06 // UI Patterns
Prompt Engineering UI Patterns
Production-ready prompt-centric UI systems in React and TypeScript. PromptTemplateForm, PromptHistoryManager, StreamingHandler, Zod-validated JSON prompts, self-reflection loops, and A/B testing interfaces.
React Zustand Streaming UI Zod
Module 07 // Agents
AI Agents & Autonomous Systems
ReAct agents with multi-tool state management, LangGraph useStream hook, multi-tiered memory (short-term buffers + long-term vector stores), multi-agent communication protocols, and domain specialization strategies.
LangGraph Multi-Agent Memory ReAct
Module 08 // Capstone
Final Project — Advanced Build
Build a multimodal RAG+KAG system, an autonomous ReAct agent suite, an enterprise-grade AI application with full observability, or a prompt engineering platform with version control and collaboration features.
Capstone RAG+KAG Agents Enterprise
Key Reasoning Patterns
Chain-of-Thought
Linear step-by-step reasoning via TypeScript template literals. Structures LLM thinking into auditable, type-safe intermediate steps.
ReAct Pattern
Cyclical Reason → Act → Observe loops. Overcomes CoT hallucination by grounding each reasoning step in real tool output.
Self-Ask
Decompose complex queries into sub-questions, answer each independently, then synthesise — bridging linear CoT and cyclical ReAct.
GraphRAG
Combine vector similarity search with knowledge graph traversal for retrieval that captures semantic meaning AND structured relationships.
KAG Mutual-Index
Link knowledge graph nodes directly to raw text chunks — enabling LLMs to reason over structured facts while citing original sources.
Multi-Agent Mesh
Domain-specialised agents communicating via typed protocols, with shared memory and coordinated tool access across complex workflows.
Design Principles

What Makes This
Architect-Level Get Certified

⬡
Hybrid Retrieval
RAG is not enough. This program treats knowledge graphs, entity linking, and structured reasoning as first-class retrieval citizens alongside vector search.
◈
Reasoning Transparency
CoT, ReAct, and Self-Ask are not magic — they are engineerable. You'll implement each pattern from scratch in TypeScript and understand exactly why they work.
▲
Enterprise-Readiness
Authentication, observability hooks, serverless CI/CD, and monitoring dashboards. Production systems have requirements that demos never surface.
⟳
Agentic by Default
Every pattern is considered through the lens of autonomous agents. Tool use, memory management, and multi-agent coordination are woven throughout — not isolated to one module.
⌥
Multimodal Fluency
Text-only AI is the past. You'll build systems that reason across images, audio, and video using unified TypeScript abstractions and any-to-any model architectures.
⧫
Security-First
Prompt injection defense, input sanitisation middleware, auth for AI endpoints, and secure data handling — because production AI systems are high-value attack surfaces.
Program Schedule

Eight Modules.
Sequential Architecture. Get Certified

Each module is a standalone engineering discipline. Run as a cohort over eight weeks, or deploy asynchronously across your organisation's timeline.

MOD 01
Advanced Prompt Engineering Patterns CoT · ReAct · Self-Ask · Prompt Injection Defense
Reasoning
MOD 02
RAG + KAG Integration GraphRAG · Milvus · Entity Linking · Knowledge Graphs
Retrieval
MOD 03
Multimodal AI Development ModelFusion · Weaviate · Vision · Audio · On-Device
Multimodal
MOD 04
Advanced Patterns for AI Applications TypeAI · Generics · Caching · Retry Logic
Patterns
MOD 05
Enterprise-Grade AI Systems Microservices · Auth · Observability · Serverless CI/CD
Enterprise
MOD 06
Prompt Engineering UI Patterns React · Zustand · Streaming UI · Prompt Version Control
UI/UX
MOD 07
AI Agents & Autonomous Systems LangGraph · Multi-Agent · Memory · Domain Specialisation
Agentic
MOD 08
Final Project — Advanced Capstone RAG+KAG · Autonomous Agents · Enterprise Deploy · Presentation
Capstone
Why Enroll

Six Reasons This
Certificate Elevates
Your Architecture Get Certified

You can integrate LLMs. This certificate teaches you to design systems around them — with the patterns, tooling, and engineering discipline that enterprise production demands.

01
Beyond RAG
Vector search alone is not enough. This certificate adds knowledge graph reasoning, entity linking, GraphRAG with Milvus, and KAG mutual-indexing — retrieval that captures structured relationships, not just semantic similarity.
02
Reasoning You Can Engineer
CoT, ReAct, and Self-Ask are not black boxes — they are patterns you implement from scratch in TypeScript. Thought-action-observation cycles, agent scratchpads, and branching reasoning trees become tools you control.
03
Enterprise-Grade from Day One
Auth for AI endpoints, ModelFusion observability hooks, serverless CI/CD on AWS, GCP, and Azure, and monitoring dashboards. Production systems have requirements that demos never surface — this certificate covers all of them.
04
Autonomous Agents That Work
LangGraph's useStream hook, multi-tiered memory systems, domain-specialised agent protocols, and multi-agent communication — the architecture layer that separates toy agents from systems that run unsupervised in production.
05
Multimodal as Standard
Text-only AI is the past. You'll build systems that reason across images, audio, and video using ModelFusion's TypeScript abstraction layer — any-to-any architectures with Weaviate, Reka, Gemini, and on-device deployment.
06
The Credential That Closes Deals
Two capstone projects across Foundations and Architecture give you a portfolio, not a certificate of attendance. Enterprise clients, hiring managers, and architecture review boards respond to demonstrated system design — not course completions.
■
Design Hybrid Systems
GraphRAG + KAG pipelines that combine semantic and structured retrieval — the architecture gap most teams never close.
⟳
Ship Autonomous Agents
Multi-agent systems with LangGraph, typed memory, and domain specialisation — built to run unsupervised at scale.
▲
Pass Architecture Reviews
Observability, auth, CI/CD, and security patterns that satisfy enterprise infrastructure requirements on day one.
◈
Complete the Credential
Architecture Certificate + Foundations Certificate = the complete GenAI engineering credential for 2026 and beyond.
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Ready to Architect
Production AI?

The GenAI Architecture Certificate takes engineers beyond integration — into system design, hybrid reasoning, autonomous agents, and enterprise-grade deployment. Build systems that don't just work in demos.

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