
CTTC Academy · Karachi — 10 Modules · Zero Coding
From understanding the machine to launching your career — one continuous arc.
A chatbot has one layer. An automation has three. A real AI agent system has twelve.
By graduation, students understand all twelve — zero coding, start to finish.
Writing instructions that work: persona, rules, examples, format.
Modules 1, 4
Controlling what the AI knows — documents, memory, business facts.
Modules 2, 4, 5
Describing what you want in plain English and letting AI build it.
Modules 6, 9
Act, check, decide, repeat — until the goal is met.
Modules 3, 6, 8
Modules 1–3
Modules 4–6
Modules 7–9
Module 10
How AI predicts language, bias, responsible AI, and a workflow audit of your own job.
Inside an LLM — tokens, context window, hallucination, and computer vision basics.
Chatbot vs. agent, the perceive→reason→act→observe loop, tools and memory — using Claude.
Claude Projects as a knowledge layer, Styles for persona, prompt chaining, reusable prompt library.
Writing a real brief (Goal/Inputs/Constraints/Format/Quality), reviewing agent work, cleaning data.
A plain-English rulebook (CLAUDE.md) plus real-world connectivity via Zapier/Make.
Open vs. closed models, running AI locally on your laptop for privacy, cost, and offline resilience.
An open-source, model-agnostic agent runtime — same species as Claude Code, fully owned.
Describe an app in four lines; AI builds the interface, database, auth, and hosting.
Ten lab artifacts → achievement bullets, one-page resume, LinkedIn profile, and a 90-day plan.
Join CTTC Academy and master AI agent automation — zero coding required.
AI Agent Automation