TRISHUL premium pathUpdated 2026

AI ArchitectIndustrial-Grade Build & Scale

From SaaS Frontend to Production Multi-LLM AI Systems

This Product starts from Next.js SaaS product fundamentals and goes all the way to production-grade AI architecture. Every phase is built around what companies actually hire for in 2026: multi-model routing, streaming inference, RAG pipelines, agentic workflows, and enterprise AI infrastructure.

Built forMid-levelExpert AI Engineers | Full-Stack AI Architects
9.8/10vs the market

Your certificate

TRISHUL

Prong I · AI

PreparationStreet
Certificate of Completion

Awarded to

Your Name

for completing every phase and project of

AI Architect

Industrial-Grade Build & Scale

21 phases63 projectsMulti-LLM · RAG · Agents
Prince SinghPrince SinghFounder & AI Architect, Preparation Street

Issued on

-

Credential ID

PS-AIA-XXXXXXXX

Verify at preparationstreet.com/certificate/verify

AI Architect

Complete every item in the AI Architect path. Issued with your name and a verifiable ID.

Sign in to start tracking toward it.

Phases
22
Topics
132
Projects
63
Market rating / 10
9.8

Skills these companies hire for

OpenAIOpenAIAnthropicAnthropicGoogle AIGoogle AIMistralMistralMetaMetaNVIDIANVIDIAGrok (xAI)Grok (xAI)Qwen (Alibaba)Qwen (Alibaba)DatabricksDatabricksMoonshot AIMoonshot AIMiniMaxMiniMaxDeepSeekDeepSeekAzure AI FoundryAzure AI FoundryAWS BedrockAWS BedrockOpenAIOpenAIAnthropicAnthropicGoogle AIGoogle AIMistralMistralMetaMetaNVIDIANVIDIAGrok (xAI)Grok (xAI)Qwen (Alibaba)Qwen (Alibaba)DatabricksDatabricksMoonshot AIMoonshot AIMiniMaxMiniMaxDeepSeekDeepSeekAzure AI FoundryAzure AI FoundryAWS BedrockAWS BedrockOpenAIOpenAIAnthropicAnthropicGoogle AIGoogle AIMistralMistralMetaMetaNVIDIANVIDIAGrok (xAI)Grok (xAI)Qwen (Alibaba)Qwen (Alibaba)DatabricksDatabricksMoonshot AIMoonshot AIMiniMaxMiniMaxDeepSeekDeepSeekAzure AI FoundryAzure AI FoundryAWS BedrockAWS Bedrock

Outcomes

What you'll learn

  • 21 industrial phases - zero theory bloat
  • 63 hands-on projects aligned with real production systems
  • Multi-LLM orchestration as the core specialty (Phase 7 is the deepest phase)
  • Dedicated streaming architecture phase (SSE, WebSocket, token streaming)
  • Dedicated AI memory systems phase
  • Dedicated AI caching & performance phase
  • Full AI infra coverage - Azure OpenAI, AWS Bedrock, Databricks
  • Next.js SaaS frontend + Node.js backend (no Python basics)
  • Every phase maps to real code from AskDSA, Arx, Versus, Voice with 24+ Brains and PrinceSinghAI / Production & Enterprises Systems
Aligned withPrinceSinghAIPrincesighDevMulti-LLM OrchestrationRoadmapAICodeLLMAskAIGlobal AI SearchAI Code Editor

Curriculum

22 phases, in the order that works

Each step builds on the one before it. Open any of them from the sidebar.

  1. 01

    Mindset & AI Engineering in 2026

    What AI Engineers actually build, market demand, toolchain orientation

    4 topics

  2. 02

    Frontend for AI SaaS - Next.js

    App Router, SSR/SSG, streaming UI, chat interfaces, Monaco Editor, real-time AI UX

    9 topics

  3. 03

    Backend for AI - Node.js + TypeScript

    Express/Fastify APIs, async patterns, SSE, WebSocket, JWT, Redis, MongoDB

    8 topics

  4. 04

    Mathematics & Statistics for AI Engineers

    Linear algebra, calculus, probability - practical, not academic

    5 topics

  5. 05

    Machine Learning Fundamentals

    Core concepts, embeddings, evaluation - enough to understand what LLMs do

    5 topics

  6. 06

    Deep Learning & Transformer Architecture

    Attention, transformers, positional encoding, KV cache, flash attention

    6 topics

Your path

Start where you are

Pick the track that matches your level - it tells you exactly what to open first.

Fresher dev to AI

  1. 1Phase 1
  2. 22
  3. 33
  4. 44
  5. 56
  6. 67 (build SaaS AI product fast)

Market comparison

How it stacks up against the alternatives

Premium Enterprise-Level AI Engineering Roadmap

9.8
Overall rating / 10
Content depth
9.6
Industry relevance
9.8
Hiring alignment
9.5
Practicality
9.4
Production relevance
10
Beginner friendliness
7.5
Compare with

Ahead of the average alternative on 17 of 18 features, by +6.1 points on average.

This productAverage of alternatives Other alternatives

Basic Chatbot Apps

Production AI Systems

Multi-LLM Orchestration

AI Infrastructure

Streaming Architecture

AI Memory Systems

AI Caching Systems

Azure + Bedrock + Databricks

Real Production Deployment

Agentic AI Systems

0246810

Where most courses fall short

  • Simple chatbot clones
  • Only prompt engineering
  • Basic OpenAI wrappers
  • Beginner-level RAG apps
  • No production infrastructure
  • No orchestration systems
  • No enterprise deployment patterns

What this product does instead

  • Industrial-grade production focus
  • Real enterprise AI architecture
  • Advanced orchestration systems
  • Real-world infrastructure patterns
  • AI engineering instead of AI theory
  • High hiring relevance
  • Strong differentiation from competitors
  • Future-proof 2026 AI stack alignment

Strongest sections

  1. Multi-LLM Orchestration

    Rarely taught deeply in market

    10/10

  2. Streaming Architecture

    Production-level real-time AI systems

    10/10

  3. AI Gateway Architecture

    Enterprise-grade routing and fallback systems

    10/10

  4. AI Infrastructure

    Azure + AWS + Databricks integration

    9.9/10

Audience

Who this is for

  • AI Engineers
  • Full-stack AI Developers
  • AI Architects
  • Production AI Engineers

Capstone

What you build at the end

Full PrinceSinghAI-style multi-LLM production platform with Next.js frontend, Node.js backend, Azure + AWS + Databricks infra

Start today

Your first step takes five minutes.

Open the first phase and progress is tracked for you from there.

22 phases Progress tracked per item Certificate on completion

Support