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Career Foundry Curriculum

What You'll Learn, Module by Module.

Twelve weeks, eight modules, six live products — from engineering foundations through time-series forecasting, real-time systems, GenAI agents, and growth engineering to a capstone shipped at Demo Day.

The Career Foundry Curriculum

Module by module — everything you'll learn and ship, with hands-on work on live, in-production products throughout.
Weeks 1–2

Engineering Foundations

The toolkit the rest of the program runs on: Python backend development with FastAPI, Git and GitHub workflows, PostgreSQL and MongoDB, authentication, prompt engineering, and cloud fundamentals.
Python & FastAPI
Git & GitHub
PostgreSQL & MongoDB
Authentication
Prompt engineering
Cloud fundamentals
Module 01

Time-Series & Forecasting

Work with real commodity price data on a live intelligence platform — build forecasting models, BI dashboards, and interactive charts backed by production SQL.
Time-series analysis
Forecasting
Charting
Business intelligence
SQL
Module 02

Real-Time Systems & Location

Build real-time buyer-seller messaging and location-aware discovery on a live marketplace product, using WebSockets, Python, and REST APIs.
WebSockets
Real-time messaging
Maps & location
Python
REST API design
Module 03

GenAI & Deep Research

Use generative AI to automate multi-step research workflows on a live AI product — from raw data to synthesized, sourced answers.
GenAI
AI-powered deep research
Retrieval & synthesis
Prompt engineering
Module 04

Growth Engineering & Full-Stack Web

Own the growth and data layer of two live web products: analytics, SEO/AEO, ad platform integrations, cloud infra, and scraping pipelines — built in React and Next.js, deployed on Vercel.
Google Analytics
SEO & AEO
Meta / Google Ads
DNS & cloud storage
Python data scraping
React & Next.js
Vercel
Module 05

Product Engineering & SDLC

Ship real features on a production codebase — FastAPI services containerized with Docker, deployed to the cloud with CI/CD, dashboards on live SQL data, and an Agile feature-development lifecycle end to end.
Python & FastAPI
Docker
CI/CD
Cloud deployment
SQL & dashboards
React.js
Testing
Microservices basics
Agile / SDLC
Module 06

AI Agents & Text-to-SQL

Build the AI layer behind natural-language data access: RAG pipelines over schemas with evaluation benchmarks, agents built on the OpenAI and Claude SDKs, orchestrated with LangChain and LangGraph — with tool calling, agent memory, MCP, A2A communication, and LangSmith observability.
AI agents
RAG + eval benchmarks
Vector databases
LangChain & LangGraph
Tool calling
Agent memory
MCP
A2A
LangSmith
Text-to-SQL
Text-to-dashboard
Weeks 11–12

Capstone, Demo Day & Career Launch

Ship an end-to-end AI data product, present at Demo Day to founders and hiring partners, and enter screening for paid internship roles at Trida Labs — backed by mock interviews and resume reviews.
Capstone
Demo Day
Mock interviews
Internship screening

Skill Coverage at a Glance

The full Academy toolkit — Career Foundry covers every group below end to end, on live products, across the 12 weeks.
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
Data scraping
GenAI & Agents
Prompt engineering
OpenAI & Claude SDKs
Vector databases
RAG + evaluation benchmarks
LangChain & LangGraph
Tool calling
Agent memory
Multi-step workflows
Agent-to-Agent (A2A)
MCP
LangSmith observability
Cloud & Delivery
Cloud fundamentals
Cloud deployments
Docker
CI/CD (basics)
Vercel & serverless
Agile / SDLC
Web & Growth
React.js & Next.js
WebSockets & real-time
Maps & location
Google Analytics
SEO & AEO
Meta / Google Ads integrations

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

Select your stream
We'll review your application and reach out within 48 hours

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