QUALIFI
    Level 5
    QN: 610/3935/4
    Curriculum Active

    Qualifi Level 5 Diploma in AI

    Official qualification regulated by Ofqual, awarded by QUALIFI. Classified as a Vocationally-Related Qualification. Total guided learning hours: 720 hours.

    Qualification Level
    Level 5
    Awarding Body
    QUALIFI
    Syllabus Units
    6 Units
    Guided Hours
    720 hrs
    Instant access to interactive lessons, quizzes, and spaced revision.

    Course Syllabus & Study Modules

    Complete breakdown of verified curriculum topics and learning objectives.

    1

    Advanced Deep Machine Learning

    Verified
    Key Learning Objectives:
    • Be able to review contemporary theories and concepts of deep machine learning.
    • Understand advance Neural net
    • work architecture.
    • Be able to use different techniques to improve performance of deep machine learning models.
    • Use deep machine learning models on Natural Language Processing (NLP) and Reinforced Machine Learning (RML).
    2

    Human-AI Interaction

    Verified
    Key Learning Objectives:
    • Understand key theories and concepts in human-AI interactions.
    • Be able to carry out explainable AI techniques which take consideration of human factors and cognition.
    • Understand design principles for collaborative human and AI systems.
    3

    Introduction to Computer Vision

    Verified
    Key Learning Objectives:
    • Understand key concepts and principles of computer vision.
    • Be able to perform object recognition and image segmentation.
    • Be able to apply deep learning models in computer vision.
    4

    Natural Language Processing

    Verified
    Key Learning Objectives:
    • Understand fundamental concepts in Natural Language Processing (NLP).
    • Be able to use NLP libraries, frameworks, and other tools in text representations.
    • Be able to use NLP methods and techniques to carry out sentiment analysis.
    5

    Reinforce Machine Learning

    Verified
    Key Learning Objectives:
    • Understand key concepts in Reinforced machine Learning.
    • Be able to apply reinforcement machine learning algorithms, libraries, and frameworks.
    • Be able to analyse results of reinforcement machine learning.
    6

    Visualisation

    Verified
    Key Learning Objectives:
    • Understand the importance of data visualisation in business intelligence.
    • Be able to carry out data preparation for visualization.
    • Be able to use different visual representations for decision-making.
    • Be able to present visualizations using appropriate visualization tools.

    Regulatory & Verification Details

    Qualification Number (QN)
    610/3935/4
    Regulated Status
    Available to learners
    Awarding Body
    QUALIFI
    Qualification Type
    Vocationally-Related Qualification
    Operational Start
    Mar 2024