Panaversity Logo

AI-251

Learn to Think and Program in the AI Era

Section Classes Schedule:
Closes on:
Seats Left:
Price:PKR 7,500

The programming quarter. Eight phases take you from setting up the development workbench through type-driven development, testing, debugging, OOP, real-world Python, CLI applications, and production systems. In parallel, complete the remaining Thinking is the Curriculum chapters and assemble your Thinking Portfolio.

Mode

Live Online Classes

Prerequisites:
AI-151
Beta 1 — available on Claude

Zia Tutor AI

Zia Tutor AI is a personal learning agent built as a digital twin of Zia Khan. It teaches the Agent Factory curriculum, remembers where you stopped, continues across sessions and weeks, teaches in the sequence appropriate for you, and checks whether you understood the previous concept before moving on.

Its mission is to help you gain the expertise to build AI Workers and Digital FTEs, and to become a Forward Deployed Engineer.

Learn More

Details

The programming quarter. Eight phases take you from setting up the development workbench through type-driven development, testing, debugging, OOP, real-world Python, CLI applications, and production systems. In parallel, complete the remaining Thinking is the Curriculum chapters and assemble your Thinking Portfolio.

What You'll Learn

Module 1
Phase 1: The Workbench

Setting up the professional development environment (Chapters 42–46)

Module 2
Phase 2: Specify with Types

Types as the language of intent (Chapters 34–37)

Module 3
Phase 3: Tests as Specification

Test-driven verification (Chapters 38–41)

Module 4
Phase 4: Debug & Master

Debugging skills and TDG independence (Chapters 42–43)

Module 5
Phase 5: The Python Object Model

OOP done right (Chapters 44–47)

Module 6
Phase 6: Real-World Python

Building practical applications (Chapters 48–50)

Module 7
Phase 7: CLI & Concurrency

Command-line tools and parallel execution (Chapters 51–52)

Module 8
Phase 8: Production Systems

Hardening and securing code (Chapters 53–54)

Course Outcomes

Set up a professional Python development workbench

Specify intent with type-driven development

Use tests as specification for verification

Debug effectively and achieve TDG independence

Apply the Python object model and OOP done right

Build real-world Python applications

Create CLI tools and leverage concurrency

Harden and secure production systems

Work with AI, not for AI — the collaboration framework

Assemble a Thinking Portfolio

Prerequisites

Note: These prerequisites provide essential knowledge for success in this course. If you haven't completed these courses, consider taking them first or reviewing the relevant materials.