Advance Foundry Curriculum

What You'll Learn, Module by Module.

Name: TridaPad
Brand: Trida Labs

Eight modules at production depth — Python backend engineering for AI, data at scale, RAG built for correctness, agentic systems with LangGraph and MCP, evaluation and observability, and cloud deployment, ending in a shipped agentic feature.

The Advance Foundry Curriculum

Module by module — everything you'll learn and ship, with hands-on work on live, in-production products throughout.

Module 1

The Production AI Landscape

How real Data & AI systems are architected today — and a personal transition map from your current role into the stack you'll master here.

AI system architecture

Career transition mapping

Modern data stack

Module 2

Python Backend Engineering for AI

Production-grade services in FastAPI — authentication, microservice patterns, Docker, testing, and CI/CD pipelines that ship daily.

FastAPI

Authentication

Microservices

Docker

CI/CD

Git & GitHub

Module 3

Data Engineering & Analytics at Scale

Production SQL on PostgreSQL, document modeling in MongoDB, BI dashboards, and time-series forecasting on live market data.

PostgreSQL

MongoDB

SQL at scale

BI & dashboards

Time-series & forecasting

Module 4

GenAI Engineering & RAG

Prompt engineering as an engineering discipline, the OpenAI and Claude SDKs, vector databases, and RAG pipelines built for correctness.

Prompt engineering

OpenAI & Claude SDKs

Vector databases

RAG

Embeddings

Module 5

Agentic AI Systems

Design and build multi-step agents with LangGraph — tool calling, agent memory, agent-to-agent (A2A) communication, and MCP integrations on a production agent engine.

LangGraph

Tool calling

Agent memory

Multi-step workflows

A2A

MCP

Module 6

Evaluation & Observability

Ship AI you can trust: RAG and LLM evaluation benchmarks, LangSmith tracing, agent monitoring, and guardrails for production systems.

RAG eval benchmarks

LLM eval benchmarks

LangSmith

Agent monitoring

Guardrails

Module 7

Cloud, Deployment & Scale

Take agentic systems to production — cloud deployment patterns, cost and latency optimization, and operating AI services reliably.

Cloud deployments

Serverless & containers

Cost & latency optimization

Reliability

Capstone

Ship an Agentic Feature

Design, build, evaluate, and deploy a production agentic AI feature on a live product — text-to-SQL, text-to-dashboard, or deep research — and present it at Demo Day.

Text-to-SQL

Text-to-dashboard

Production deployment

Demo Day

Skill Coverage at a Glance

The Academy toolkit at production depth — Advance Foundry skips the web-growth basics and goes deep on agents, RAG, evaluation, observability, and cloud.

Engineering Foundations

Python

FastAPI (Flask / Django welcome)

Git & GitHub

REST API design

Authentication

Testing

Microservices (basics)

Data

SQL & PostgreSQL

MongoDB

Data modeling

BI & dashboards

Time-series & forecasting

GenAI & Agents

Prompt engineering

OpenAI & Claude SDKs

Vector databases

RAG + evaluation benchmarks

LLM evaluation benchmarks

LangChain & LangGraph

Tool calling

Agent memory

Multi-step workflows

Agent-to-Agent (A2A)

MCP

LangSmith observability

Agent monitoring

Guardrails

Cloud & Delivery

Cloud fundamentals

Cloud deployments

Docker

CI/CD (basics)

Vercel & serverless

Ready to Master Data and AI?

Pick your stream — Campus Foundry for college students, Career Foundry for graduates and job seekers, or Advance Foundry for experienced professionals — and tell us about yourself. We'll reach out with next steps.

🎯 Scholarships available for students — ask us when you apply

✓ Three streams — Campus, Career & Advance Foundry

✓ Data & AI curriculum built with Trida Labs engineers

✓ Mentors from production AI teams

✓ Paid internship opportunities for top performers

Apply Now

Your Data & AI career starts here.

Real Data & AI products. Real mentors. Paid internship for the best. Pick your Foundry and build the future of AI in India.

Questions? Email us at academy@tridalabs.com