Python Foundations + AI102 — Lesson 1: Python Programming Foundations

Learning Objectives

• Use Python syntax, types, operators, conditions, loops, functions, and modules
• Work with strings, lists, tuples, dictionaries, sets, files, and exceptions
• Create virtual environments and manage packages and project structure

Detailed Topics

• Use Python syntax: Use Python syntax, types, operators, conditions, loops, functions, and modules
• Work with strings: Work with strings, lists, tuples, dictionaries, sets, files, and exceptions
• Create virtual environments and manage packages and project structure: Create virtual environments and manage packages and project structure

Guided Demonstration

1. Review the requirement, intended users, data, dependencies, permissions, risks, and expected result.
2. Demonstrate the relevant configuration, analysis, code, application, report, or administration workflow step by step.
3. Capture settings, outputs, logs, screenshots, calculations, test results, and other useful evidence.
4. Compare the observed result with the acceptance criteria and explain any corrective action.

Hands-On Activity

Build a modular Python application that validates and processes business data.

• Document assumptions, prerequisites, and the planned sequence before starting.
• Complete the activity and preserve evidence of normal, boundary, and failure behavior.
• Record issues, corrective actions, reusable notes, and the next improvement priority.

Scenario Analysis

• Identify the business or technical decision that must be made.
• Compare at least two valid implementation approaches and their trade-offs.
• Consider security, privacy, accessibility, performance, support, and operational impact.

Troubleshooting Focus

• Separate symptoms from causes and collect evidence before applying a fix.
• Check configuration, data, permissions, dependencies, capacity, connectivity, and recent changes.
• Validate rollback, recovery, support ownership, user impact, and business continuity.

Validation Checklist

• The requirement, scope, inputs, and expected outcome are clear.
• The selected design or configuration is documented and follows approved standards.
• Normal, boundary, failure, security, accessibility, and operational conditions are reviewed.
• The result is supported by evidence and the next improvement is prioritized.

Lesson Outcome

Learners can explain and apply Python Programming Foundations in a realistic scenario and validate the result with documented evidence.