Cohort 01 · In association with NCBC-NEDUET

AI Internship Batch 1

Build a production-grade AI agent from your own job — in 12 weeks.

12 September – 12 December 2026 · Karachi

An application-based, proof-of-work residency for working professionals. Bring a real problem from your work, design it as an AI agent with PADDLE, and ship it with the batch — evaluated, secured, deployed and defended on demo day.

Register Download poster (PDF)
AI Internship Batch 1 by AQLENTIS

Proof of work

Admission by review. A pull request every Friday, a mentor review every Sunday.

12 weeks, 8–10 hours a week

Week 0 kickoff, 12 working weeks, one public demo day.

NED University, Karachi

One in-person lab every Saturday at HPCC; the rest is virtual.

Verified certificate

Human-graded, verifiable online; open-source capstone with your name on it.

The route

Week by week

Week 0 Sat 12 Sep

Kickoff and use-case selection

Baseline assessment, PADDLE walkthrough, every resident pitches a use-case, one capstone chosen.

P

You will learn

  • Baseline assessment completed
  • PADDLE methodology walkthrough
  • Pitched my own use-case
  • Capstone chosen with the batch

Friday deliverable

Use-case pitch (one paragraph) and PADDLE Section P draft

Weeks 1–2 19 and 26 Sep

Foundations

How LLMs work, validated JSON outputs, pull-request workflow, a tested FastAPI service.

P

You will learn

  • How LLMs work (tokens, context, sampling)
  • Python 3.12 refresher
  • Validated JSON outputs with Pydantic v2
  • Git and pull-request workflow
  • A tested FastAPI service

Friday deliverable

FastAPI service with tests and a validated JSON endpoint (PR)

Weeks 3–4 3 and 10 Oct

Retrieval

Corpus, chunking and embeddings in pgvector, hybrid search, grounded answers with citations.

D

You will learn

  • Corpus preparation and document loaders
  • Chunking and overlap strategy
  • Embeddings in pgvector on Supabase
  • Hybrid search (BM25 + vector)
  • Grounded answers with citations

Friday deliverable

RAG pipeline with hybrid search and cited answers (PR)

Weeks 5–6 17 and 24 Oct

Agents

Tool calling, LangGraph state machines, MCP servers, memory, approval gates, guardrails.

ADL

You will learn

  • Tool calling and tool inventory
  • LangGraph state machines
  • MCP servers
  • Short- and long-term memory, checkpointers
  • Human-in-the-loop approval gates
  • Guardrails

Friday deliverable

LangGraph agent with tools, checkpointer and an approval gate (PR)

Weeks 7–8 31 Oct and 7 Nov

LLMOps, security and governance

LangSmith evals, prompt versioning, cost budgets, OWASP LLM Top 10, threat model.

E

You will learn

  • LangSmith tracing and evals
  • Prompt versioning
  • Cost budgets and model routing
  • OWASP LLM Top 10
  • Threat model for my agent

Friday deliverable

Eval suite in LangSmith, cost budget and threat model (PR)

Weeks 9–10 14 and 21 Nov

Capstone sprints

Three subsystems wired end to end, CI green in Docker, thin UI, public staging URL, runbook.

Build

You will learn

  • Subsystems wired end to end
  • CI green in Docker (GitHub Actions)
  • Thin UI
  • Public staging URL
  • Runbook written

Friday deliverable

Capstone subsystem merged, CI green, staging deployed (PR)

Weeks 11–12 28 Nov and 5 Dec

Hardening and defence

Audit and load test, portfolio writing, a 20-minute architecture defence for each pair.

Build

You will learn

  • Security audit
  • Load test
  • Portfolio write-up
  • 20-minute architecture defence prepared

Friday deliverable

Audit + load-test report and portfolio page (PR)

Demo Day Sat 12 Dec

Public demo and graduation

Live demo for NCBC, NED and employers; certificates issued, Cohort 02 announced.

Graduation

You will learn

  • Live demo delivered
  • Certificate issued

Friday deliverable

Live demo

Who should apply

  • Working professionals from any domain — logistics, finance, data, CRM, operations
  • You bring a real problem from your job; we turn it into an agent use-case
  • Some coding helps; Week 1 opens with a Python refresher
  • 8–10 hours a week, Saturdays in Karachi

What you leave with

  • A PADDLE brief for your own use-case, ready for your employer
  • Your subsystem in a deployed, open-source capstone
  • A GitHub portfolio of traced, evaluated, secured work
  • A verified certificate and induction into the AQLENTIS Guild

Every week

Saturday
In-person lab at HPCC, NED
Wed 8–9 PM
Virtual clinic on Google Meet
Fri 6 PM
Deliverable due as a pull request
Sunday
Mentor review of every PR
Mon 9 PM
Written feedback and scoreboard

Led by

  • MO

    Muhammad Osama

    Instructor and Program Director

  • FJ

    Farrukh Jalil

    Team Lead

  • RE

    Ruksh E Ibadat

    Co-Team Lead

  • UA

    Uzair Abid

    Team Lead, NCBC-NEDUET

In association with NCBC-NEDUET, hosted at the HPCC Building, NED University of Engineering & Technology, Karachi. Certificates verifiable at aqlentis.com/verify.

Downloads

Batch 1 poster

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AQLENTIS AI Internship Batch 1 poster
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