Practical AI Skills & Hands-On Implementation (Module 2)
About Course
Module 2: Practical AI Skills & Hands-On Implementation introduces learners to the practical, real-world application of Artificial Intelligence. This module forms the practical component of the Occupational Certificate: AI Software Developer and focuses on applying theory in workplace and simulated environments.
Learners work through structured practical activities that build confidence and competence in real AI development tasks. The module includes supervised tasks, demonstrations, tool usage, workplace simulation, coding exercises, and logbook-based assessments. Each Practical Module (PM) guides the learner to apply AI concepts using Python, SQL, machine learning techniques, model evaluation methods, and ethical teamwork practices.
By completing this module, learners will gain the ability to:
- Set up and work with AI development tools
- Handle real datasets for AI projects
- Train and evaluate machine learning models
- Write and execute Python scripts for AI tasks
- Use SQL to manage and manipulate database tables
- Build neural networks in Python and TensorFlow
- Understand ethical and multidisciplinary team practices
- Record practical experience in logbooks
- Demonstrate competency through workplace tasks and mentor evaluations
This module prepares the learner for real AI roles by integrating technical skills, workplace expectations, and applied problem-solving.
Course Content
Topic 1: Practical AI Skill Foundations (PM-01)
Topic 2: AI Data Handling & Preparation (PM-02)
Topic 3: Machine Learning Fundamentals (PM-03)
Topic 4: AI Development Tools & Environment Setup (PM-04)
Topic 5: Model Training & Testing (PM-05)
Topic 6: AI Model Performance Evaluation (PM-06)
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