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AI-251

Learn to Think and Program in the AI Era

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:

Available Sections:

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

AI tutor for this course

This course will be supported by TutorClaw, Panaversity's AI tutor for WhatsApp. It will answer from The Agent Factory book, help you review lessons, prepare for quizzes, and keep track of your progress between live classes.

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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.