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
PreparationStreetAwarded 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
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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
AWS BedrockAWS BedrockAWS BedrockOutcomes
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.
- 01
Mindset & AI Engineering in 2026
What AI Engineers actually build, market demand, toolchain orientation
4 topics
- 02
Frontend for AI SaaS - Next.js
App Router, SSR/SSG, streaming UI, chat interfaces, Monaco Editor, real-time AI UX
9 topics
- 03
Backend for AI - Node.js + TypeScript
Express/Fastify APIs, async patterns, SSE, WebSocket, JWT, Redis, MongoDB
8 topics
- 04
Mathematics & Statistics for AI Engineers
Linear algebra, calculus, probability - practical, not academic
5 topics
- 05
Machine Learning Fundamentals
Core concepts, embeddings, evaluation - enough to understand what LLMs do
5 topics
- 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
- 1Phase 1
- 22
- 33
- 44
- 56
- 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
10
Production AI Systems
10
Multi-LLM Orchestration
10
AI Infrastructure
9.8
Streaming Architecture
10
AI Memory Systems
9.7
AI Caching Systems
9.8
Azure + Bedrock + Databricks
9.9
Real Production Deployment
9.5
Agentic AI Systems
9.8
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
- 10/10
Multi-LLM Orchestration
Rarely taught deeply in market
- 10/10
Streaming Architecture
Production-level real-time AI systems
- 10/10
AI Gateway Architecture
Enterprise-grade routing and fallback systems
- 9.9/10
AI Infrastructure
Azure + AWS + Databricks integration
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