Become an
Agentic AI Engineer.
A hands-on, in-person program for builders who want real instructor feedback while designing and deploying AI agents, not another video course. Choose a 6-month or 1-year track.
Live session · Sadiqabad studio
$ nextaibuilder --cohort next
program Agentic AI Engineer
tracks 6-month · 1-year
location Sadiqabad, Punjab, PK · PKT (UTC+5)
format in-person · on-site studio
stack Claude API · tool use · agent design
outcome one deployed agent, reviewed live
status ADMITTING
CHOOSE YOUR TRACK
The full program on a tighter timeline, for builders who want to move fast and go all-in.
The same core program with more time in the room, and more depth on every project you ship.
SYLLABUS
What you'll learn
Same six steps on both tracks. The 1-year track spreads each one across two months instead of one, for more depth per stage.
Python fundamentals rebuilt for AI work: environments, APIs, async code, and calling LLMs directly. Everything after this month runs on it.
Prompts, chains, memory, and retrieval-augmented generation (RAG): the building blocks most agent frameworks sit on top of.
Tool calling, structured output, vector stores, and evaluation. Moving a chain from a notebook demo to something that holds up under real use.
Stateful, multi-step agents: graphs, cycles, human-in-the-loop, and multi-agent coordination. For work a single prompt-response chain can’t handle.
Wiring agents into the rest of the world: workflow automation, webhooks, and connecting your agent to real tools without hand-writing glue code for every integration.
Everything from the steps before this one, applied to one real, deployed AI agent, reviewed live by instructors in the room.
WHERE OUR BUILDERS COME FROM · AWAITING COHORT 1
WHY IN-PERSON
Hands-on agent-building sessions led by instructors in our studio, not a recording.
A fixed start date, building alongside the same small group for the length of your track.
Limited seats so every applicant gets real instructor time, not a lecture hall.
WHAT YOU'LL LEAVE WITH
./your-cohort/
├── agent.deployed a real AI agent, live and doing real work
├── code.reviewed direct feedback from instructors, in the room
├── tools.mastered Claude API, tool use, multi-step agent design
└── certificate.pdf proof of what you built, not just attended
HOW IT WORKS
Tell us about you and what you want to build.
We read every application and follow up directly.
Accepted builders get cohort dates and setup details.
WHAT BUILDERS SAY
Reviews go here once our first Sadiqabad cohort ships. Nothing invented in the meantime.
“Review #1, reserved for cohort 1”
“Review #2, reserved for cohort 1”
“Review #3, reserved for cohort 1”
FAQ
Common questions
What is an Agentic AI Engineer?
Someone who designs and deploys AI agents, systems that can use tools, take multi-step actions, and complete tasks on their own rather than just responding to a single prompt.
Do I need to know Python before applying?
No. Python is the first step of the program itself, rebuilt specifically for AI work. You need a willingness to learn, not prior experience.
What is the difference between the 6-month and 1-year track?
Both cover the same six steps in the same order: Python, LangChain fundamentals, LangChain in production, LangGraph, n8n, and a capstone. The 1-year track spreads each step across two months instead of one, for more depth per stage.
Is this course online or in-person?
In-person only, at the studio in Sadiqabad, Punjab. There is no recorded or remote-only option.
What will I build by the end of the program?
One real, deployed AI agent, applying everything from the earlier steps, reviewed live by instructors as the program capstone.
How much does the program cost?
PKR 15,000 per month on both tracks. The first 10 students get 20% off, PKR 12,000 per month.
How do I apply?
Submit the admission form on this page with your track choice. Applications are reviewed on a rolling basis and the admissions team follows up directly by email or phone.
./apply
Apply for admission
Tell us a bit about yourself. We'll follow up by email or phone with next steps.