Course Content
Topic 1: Practical AI Skill Foundations (PM-01)
This topic introduces the structure, expectations, and responsibilities involved in completing practical AI modules, preparing learners for real workplace application.
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Lesson 1: Introduction to Practical AI Skills
Quiz 1: Practical AI Skill Foundations
00:30:00
Assignment 1: Understanding Practical AI Responsibilities (PM-01)
Topic 2: AI Data Handling & Preparation (PM-02)
This topic covers the essential data skills required for AI development, including collecting, cleaning, preparing, and describing datasets. Learners will practice working with real data to support machine learning and AI modelling tasks.
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Lesson 1: AI Data Handling & Preparation
Quiz 2: AI Data Handling & Preparation
00:30:00
Assignment 2: Data Cleaning & Preparation Task (PM-02)
Topic 3: Machine Learning Fundamentals (PM-03)
This topic introduces the practical steps involved in preparing datasets for machine learning, training simple models, evaluating model performance, and understanding how AI systems learn from data.
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Lesson 1: Machine Learning Fundamentals
Quiz 3: Machine Learning Fundamentals
00:30:00
Assignment 3: Machine Learning Model Development (PM-03)
Topic 4: AI Development Tools & Environment Setup (PM-04)
This topic introduces learners to AI development environments, including installing essential software, configuring tools, setting up Python, and preparing the system for building machine learning and AI models.
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Lesson 1: Setting Up AI Development Tools & Environments
Quiz 4: AI Development Tools & Environment Setup
00:30:00
Assignment 4: AI Development Environment Setup (PM-04)
Topic 5: Model Training & Testing (PM-05)
This topic teaches learners how to train machine learning models, adjust parameters, test performance, and understand the behaviour of AI models during training and evaluation.
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Lesson 1: Model Training & Testing
Quiz 5: Model Training & Testing
00:30:00
Assignment 5: Model Training & Performance Evaluation (PM-05)
Topic 6: AI Model Performance Evaluation (PM-06)
This topic teaches learners how to evaluate the performance of machine learning models using metrics such as accuracy, precision, recall, error rates, and confusion matrices. Learners will learn to interpret results and identify areas for model improvement.
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Lesson 1: Understanding AI Model Performance Evaluation
Quiz 6: Performance Evaluation in Machine Learning
00:30:00
Assignment 6: Evaluating Machine Learning Model Performance (PM-06)
Practical AI Skills & Hands-On Implementation (Module 2)

Practical Modules (PMs) form the hands-on component of the Artificial Intelligence qualification. Unlike theory modules, PM activities focus on real-world tasks, supervised workplace learning, and practical demonstrations. The purpose of PM-01 is to prepare the learner for all practical tasks that follow, ensuring they understand the structure, expectations, and assessment process.

⭐ 1. Purpose of Practical Skill Modules

Practical Modules allow learners to:

  • Demonstrate hands-on abilities
  • Apply theoretical knowledge in real environments
  • Work on simulated and real-world AI tasks
  • Build confidence in AI development tools
  • Complete logbooks aligned with workplace outcomes

Each PM includes:

  • Applied knowledge requirements
  • Internal assessment criteria
  • Practical activities
  • Observation checklists
  • Workplace evidence

⭐ 2. Learner Responsibilities

During practical training, learners must:

  • Attend all training sessions
  • Follow supervisor instructions
  • Complete practical tasks and logbooks
  • Ask for help when needed
  • Maintain professional conduct
  • Submit all evidence on time

⭐ 3. Mentor Responsibilities

Mentors must:

  • Guide learners through workplace tasks
  • Observe and verify learner performance
  • Provide feedback
  • Sign off logbook evidence
  • Ensure tasks meet workplace standards

⭐ 4. Employer Responsibilities

The employer must:

  • Provide a safe and supportive learning environment
  • Give learners access to tools and systems
  • Allow time for practical assessments
  • Support mentorship activities

⭐ 5. Purpose of PM-01

PM-01 helps the learner understand:

  • How practical modules work
  • How to complete logbooks
  • How mentors evaluate performance
  • How practical evidence is submitted
  • How workplace learning fits into the full qualification

This foundational practical topic prepares learners for the more technical practical tasks in later PMs.

🎯 Lesson Summary

After completing this lesson, learners should be able to:

  • Explain the purpose of practical modules
  • Understand the roles of learners, mentors, and employers
  • Know how logbooks and assessments work
  • Prepare for upcoming practical tasks
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