Career Tracks·Builders·No-Code Agent Engineers

▲ Builders · 4-week track · no coding required

No-Code Agent Engineers

Agents without code. Four project-first weeks with visual builders, templates and automated workflows — made for operators, analysts and founders. You leave with a production agent your team runs weekly, documented and handed over.

★ 4.8 · 140 reviews 4 weeks · live cohort 24 seats max Entry · AI Foundation + Career Assessment No coding required

Job-ready. Tool-powered. Business-focused. Entry · AI Foundation + Career Assessment

Our No-Code Agent Engineers are trained to design, build and automate intelligent solutions that streamline operations, save time and drive measurable business impact — without writing traditional code.

Skills our engineers bring

Prompt Engineering
AI Workflow Design
AI Agent Design
Process Automation
Business Process Mapping
AI Use Case Identification
No-Code APIs
AI Productivity

Technologies & tools

ChatGPT Claude Gemini n8n Make Zapier Flowise Langflow Airtable Notion AI

Engineers are hands-on with these platforms and can integrate them to build end-to-end solutions.

What you'll ship

Four pieces of proof.

A live automated workflow

Triggers, integrations and actions across the tools your team already runs.

A multi-step agent

Branching, error handling and human-in-the-loop checkpoints — built visually.

A handover pack

Documentation your team can operate without you in the room.

A portfolio demo

Presented at demo day — a working agent, not a certificate.

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.

You start with the work, not the tool. Map a process your team runs every week, then score where AI actually pays.

The operator's model landscape — where ChatGPT, Claude and Gemini each earn their place
Prompt patterns that survive real use: role, context, constraints, output format, examples
Business process mapping — every step, handoff and decision written down
Use-case scoring by time cost, error rate and volume

You ship: A mapped process and a scored shortlist, with one use case chosen alongside your mentor.

Connect the tools your team already runs and put a real automation into production.

No-code APIs without code — triggers, actions, webhooks and authentication
Choosing your platform: n8n, Make or Zapier, matched to your stack
Airtable and Notion AI as the data spine underneath the workflow
Testing with real data before anyone depends on it

You ship: One automated workflow running on a schedule, against live data.

Your working agent goes in front of a mentor who ships automation for a living.

A walkthrough of what you built and why
Failure-mode review — what happens on bad input, timeouts and duplicates
A written improvement plan you carry into weeks 3 and 4

You ship: A reviewed agent and a plan to harden it.

Move from linear automations to agents that branch, recover and know when to ask a human.

Visual agent building in Flowise and Langflow
Multi-step logic — branching, retries and fallbacks
Human-in-the-loop checkpoints for the decisions that need judgment
Guardrails: cost limits, rate limits and safe defaults

You ship: A multi-step agent handling a real business intent, with a human checkpoint.

Make it something your team can run without you in the room. Then present it.

Edge cases, monitoring and alerting
Documentation and handover so an operator can maintain it
Your own AI productivity system across the tools you now run
Demo day — present to mentors and hiring partners

You ship: A production agent, a handover pack and a demo-day presentation.

4 weeks at a glance

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

Phase	W1	W2	W3	W4
Use cases, mapped and scored
Your first workflow, live
Mid-cohort review
Agents that decide
Harden, document, hand over

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

What our engineers deliver

What they ship for you.

AI Chatbots

Workflow Automations

Business Process Automation

Manual Work Eliminated

Improved Accuracy

Operational Efficiency

Rapid Internal Tools

For employers

Why hire No-Code Agent Engineers?

Faster Deployment

Deliver solutions quickly with pre-built components and automation expertise.

Cost-Effective

Reduce development costs and dependency on specialised engineering resources.

Boost Productivity

Automate repetitive tasks and workflows to improve team efficiency.

Measurable Impact

Drive measurable results with intelligent, scalable automation solutions.

Flexible & Adaptable

Adapt to evolving business needs and integrate with existing tools seamlessly.

Talk to admissions

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No-Code Agent Engineers

Four pieces of proof.

Week by week, project-first.

4 weeks at a glance

From this track.

What they ship for you.

Why hire No-Code Agent Engineers?

Keep building.

Ready to ship?