Career Tracks·Builders·Pro-Code Agent Engineers

▲ Builders · 6-week track · Python required

Pro-Code Agent Engineers

Design intelligent agent systems in code. Six project-first weeks through LangChain, CrewAI, LangGraph and MCP — routing, recovery, evals and deployment. You leave with a multi-agent system handling a real business intent, in production.

★ 4.9 · 180 reviews 6 weeks · live cohort 24 seats max Python required

Job-ready. Engineering-focused. Enterprise-ready. Entry · Python Assessment / Python Foundation

Pro-Code Agent Engineers are trained to design, develop and deploy production-ready AI agents and intelligent automation systems using modern AI frameworks and software engineering best practices. With expertise in Python, agent architectures, backend development and LLM orchestration, they build scalable AI solutions that integrate seamlessly into enterprise environments.

Core technical capabilities

Python Programming
Object-Oriented Programming (OOP)
API Development & Integration
AI Agent Architecture
Multi-Agent Systems
Model Context Protocol (MCP)
Tool Calling & Function Execution
LLM & AI Integrations
Backend Development

Technologies & tools

Python VS Code Git & GitHub LangChain CrewAI LangGraph FastAPI Docker Postman

They are trained to build, test, deploy and maintain production-grade AI applications using industry-standard development workflows and enterprise tooling.

What you'll ship

Four pieces of proof.

A tool-calling agent

An agent that handles a real intent with function calling and structured output.

A multi-agent system

CrewAI and LangGraph orchestration — routing, recovery and state.

An MCP integration

Agents that reach into real systems through Model Context Protocol servers.

An eval suite

Guardrails, regression gates and observability before anything ships.

The curriculum

Week by week, project-first.

Every week ends with something shipped and reviewed. There is a mid-cohort capstone before demo day, so nothing reaches the final week untested.

Set the foundation the rest of the cohort is built on — properly structured code, versioned from day one.

Environment and project structure — VS Code, Git and GitHub, virtual environments
Object-oriented design for agent systems: interfaces, composition, dependency injection
LLM fundamentals — tokens, context windows and cost
Structured output: typed, validated responses instead of parsed strings

You ship: A scaffolded repository and your first validated, typed LLM call.

An agent is only useful when it can act. This week it starts doing real work.

LangChain chains, tools and memory
Designing tool schemas — arguments, validation and error paths
Exploring and integrating a third-party API with Postman
Retries, timeouts and graceful failure

You ship: An agent completing a real task through two or more tools.

Move from one agent to a system of them — with roles, routing and recovery.

CrewAI — roles, tasks and delegation
LangGraph — state machines, branching and recovery paths
Orchestration patterns: supervisor, sequential and parallel
Passing state safely between agents

You ship: A multi-agent workflow handling a business intent end to end.

Your system is read as code and run as a product, by an engineer who does this in production.

Architecture and code review against production standards
Adversarial run-through — bad inputs, loops, partial failures
A prioritised hardening plan for weeks 4 to 6

You ship: A reviewed multi-agent system and a hardening plan.

Connect your agents to the systems a business actually runs on.

Model Context Protocol — servers, resources and tools
FastAPI: exposing agents as services with auth, rate limits and streaming
Secrets, permissions and least-privilege access to internal systems
Integration testing against a real backend

You ship: Your agent exposed as an API and reaching a real system through MCP.

Measure the thing before you trust it. This is what separates a demo from a deployment.

Building an eval harness and a regression suite
Guardrails — input validation, output filters, cost and loop ceilings
Tracing and structured logging across multi-agent runs
Release gates: what must pass before anything ships

You ship: An eval suite your system has to pass before release.

Ship it, prove the numbers, and present it to the room.

Containerising the service with Docker — environments and secrets
Deployment, rollback and cost management
Runbook and handover documentation
Demo day — present to mentors and hiring partners

You ship: A deployed multi-agent system with its eval report and runbook.

6 weeks at a glance

Live cohort · 24 seats · reviewed weekly by working operators.

Phase	W1	W2	W3	W4	W5	W6
Python, OOP and the engineering baseline
Tool calling and function execution
Multi-agent systems
Mid-cohort review
MCP and backend integration
Evals, guardrails and observability
Deploy and demo day

What learners say

From this track.

Aayush S.

AI & Full-Stack Engineer

Before TayanaFinal-year CS student

Priya R.

AI Engineer · 2 systems shipped

Before TayanaWeb developer

Kunal V.

ML Platform Engineer

Before TayanaBackend developer

Nainika P.

AI & Automation Engineer

Before TayanaQA intern

Enterprise AI solutions they can deliver

What they ship for you.

Autonomous AI Agents

Enterprise AI Assistants

Multi-Agent Systems

AI Workflow Orchestration

Backend AI Services & APIs

LLM-powered Enterprise Applications

Intelligent Process Automation

For employers

Why hire Pro-Code Agent Engineers?

Build Production-Ready AI

Develop production AI systems that integrate seamlessly into existing technology stacks.

Accelerate AI Product Development

Reduce development timelines with engineers skilled in modern AI frameworks and backend technologies.

Automate Complex Processes

Design intelligent agents capable of executing multi-step workflows across enterprise systems.

Integrate Into Infrastructure

Leverage APIs, backend services and modern orchestration frameworks to deploy inside existing systems.

Scale With Confidence

Build secure, maintainable and scalable AI applications using industry-standard engineering practices.

Talk to admissions

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Pro-Code Agent Engineers

Four pieces of proof.

Week by week, project-first.

6 weeks at a glance

From this track.

What they ship for you.

Why hire Pro-Code Agent Engineers?

Keep building.

Ready to ship?