QUALIFI
Level 4
QN: 610/3934/2
Curriculum Active
Qualifi Level 4 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 4
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
Artificial Intelligence Ethics
Verified
Key Learning Objectives:
- Associate impact of AI on society with established ethical principles.
- Understand Ethical frameworks and principles in relation to AI deployment.
- Understand mitigation in addressing bias, privacy, and security in AI application.
- Understand the governance and regulation of AI ethics.
2
Big Data Management
Verified
Key Learning Objectives:
- Understand what constitutes big data and its importance.
- Be able to use technologies and tools in big data analytics
- Be able to apply techniques for mining, processing, and analyzing large datasets.
- Be able to review applications of big data in different key industries.
3
Data Science Using Python
Verified
Key Learning Objectives:
- Understand Python for data analysis
- Be able to convert a given dataset to derive insights using data visualization
- Be able to apply basic machine learning concepts using Python
- Be able to analyze data to solve a given real-world data science problem.
4
Introduction to Artificial Intelligence and Applications
Verified
Key Learning Objectives:
- Understand the fundamental principles and concepts of AI.
- Understand trending AI applications and technologies used within industry.
- Apply key trending AI tools to simple business scenarios
- Understand how AI can be used to address future sustainable society needs.
5
Introduction to Deep Learning
Verified
Key Learning Objectives:
- Understand basic machine learning concepts that apply when developing deep learning models.
- Understand how to develop basic deep learning models
- Be able to apply Neural net
- work models to carry out simple tasks using popular frameworks
- Be able to interpret results using prepared sample data to preprocess deep learning models.
6
Mathematical Foundations for Machine Learning
Verified
Key Learning Objectives:
- Understand the role of maths and statistics in Machine Learning.
- Understand statistical methods and tools for data analysis.
- Be able to integrate statistical methods in solving business challenges.
- Be able to propose business solutions based on inferential statistics results.
Regulatory & Verification Details
- Qualification Number (QN)
- 610/3934/2
- Regulated Status
- Available to learners
- Awarding Body
- QUALIFI
- Qualification Type
- Vocationally-Related Qualification
- Operational Start
- Mar 2024