Threemates · The Future-Ready AI Programme (22 weeks) - Threemates

Anthropic Claude Partner Network · first batch 2026

The Future-Ready AI Programme. Decisions, not tutorials.

Twenty-two weeks. Three cohorts. From zero coding to autonomous multi-agent AI systems — delivered in your institution's classroom, two days a week, by instructors certified on the Claude API, agentic patterns, MCP, and the OpenAI agents stack.

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Duration: 22 wks
Cohorts: 3
Classroom: 2 days/wk

Built on

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Member of Anthropic's Claude Partner Network — first batch, 2026. Alongside Accenture, Deloitte, Cognizant and Infosys. Instructors hold Anthropic technical certification on the Claude API, agentic patterns and MCP, plus OpenAI Assistants / Agents SDK certifications.

The Method

Four things this programme does that most don't.

One unique project per student

A 150-brief project bank across the three cohorts. No two student repositories are alike. Tutorial copying is structurally impossible.

Decision Labs every week

Compare two or three real alternatives. File a justified written pick. Twenty-two weeks of decisions become a portfolio of engineering judgement.

The Pathway

From zero coding to autonomous agents in three cohorts.

Twenty-two weeks, split into three sequential cohorts. Each ends with a deployed capstone defended in front of mentors.

8 weeks
MERN + AI Bridge
Stack
HTML / CSS / JS · React · Node · Express · MongoDB · Python · LLM APIs
Capstone
A deployed MERN app with JWT auth and one AI feature, defended in a 6-minute mentor viva.
8 weeks
LLM Engineering
Stack
Frontier APIs · HuggingFace · RAG with evals · QLoRA fine-tuning · Multi-modal · Modal serverless
Capstone
A Modal-deployed autonomous agent ensembling a fine-tuned LLaMA, RAG, and a frontier model — 7-minute viva.
6 weeks
Agentic AI Engineering

Upcoming cohorts

Pick a start date that fits your calendar.

All cohorts

Agentic AI Engineering

Build production-grade autonomous AI agents using modern agent frameworks and Model Context Protocol.

Duration

What graduates say

Built by engineers who've sat in the chair.

By week 12 I had shipped an agent that paid for the cohort fee in client work. The mentor reviews were the most honest feedback I have ever received as an engineer.

Aarav Nair

Backend → AI engineer, fintech

Our college signed up two batches. The structure is rigorous and the certificate is something we can actually verify on a candidate's resume.

Dr. Priya Subramaniam

HoD, Computer Science · CUTM

For whom

Built primarily for colleges. Open to individuals.

The institutional deployment is the canonical mode — taught in the college's own classroom. Individual learners join the same syllabus through open cohorts.

For academic institutions

Threemates brings the instructor, the teaching assistant, a programme lead, the syllabi, 150 project briefs, a Notion workspace, a Discord server, and the cloud + API access. The institution brings the classroom for two days a week, 8 GB RAM laptops, a coordinator, a faculty kickoff, and up to 100 enrolled students.

· Instructor + TA + programme lead, on-site
· 150-brief project bank — one unique build per student
· Co-branded certificates and a faculty / placement-cell dashboard

Talk to us

FAQ

Common questions, answered.

Who is this programme for?

Primarily for academic institutions — engineering and IT colleges deploying a 22-week future-ready AI track for their students. Individual learners can join cohorts directly. We screen for fundamentals; no prior ML required.

What is the time commitment?

Twenty-two weeks in total. In the institutional mode: two in-classroom days per week, three to four hours each, plus async problem-discovery and decision labs on the alternate days. Capstone weeks add a few extra hours.

How are certificates verified?

Every certificate carries a unique verification ID. Recruiters can confirm authenticity at /verify — each issuance is server-signed and audit-logged, revocations show on the same page, and institutional certificates are co-branded with the partner college.

What is the refund policy?

Full refund within 7 days of cohort start, no questions asked. Pro-rated refunds available up to week 4 on documented hardship. Detailed terms ship with the offer letter.

Twenty-two weeks. Decisions, not tutorials.

If you run an engineering or IT college, the fastest path is a short call. If you're an individual learner, the next open cohort is one form away.

Apply now Talk to us

The Future-Ready AI Programme. Decisions, not tutorials.

Four things this programme does that most don't.

One unique project per student

Decision Labs every week

From zero coding to autonomous agents in three cohorts.

MERN + AI Bridge

LLM Engineering

Agentic AI Engineering

Pick a start date that fits your calendar.

Agentic AI Engineering

Built by engineers who've sat in the chair.

Built primarily for colleges. Open to individuals.

For academic institutions

Common questions, answered.

Twenty-two weeks. Decisions, not tutorials.

Ship live, in public, on real URLs

Frontier-aligned, not textbook-trapped

A portfolio, not a transcript.

12+ — Individually-assigned production projects

22 — Decision Lab justifications, in writing

3 — Capstone vivas, defended live

3+ — Publicly deployed live URLs, pinned

1 / cohort — Model published to HuggingFace Hub

2 — Mock interviews with feedback

Llm

For individual learners