The LICQual Level 5 Diploma in Data and Al – Data Engineer is specifically designed to equip learners with advanced knowledge and practical skills in data engineering, AI, and analytics. This internationally recognized Level 5 Diploma in Data and AI prepares you to become a highly competent Data Engineer, capable of designing robust data pipelines, managing big data systems, and applying AI solutions to real-world problems.
This advanced diploma in data engineering and AI emphasizes hands-on learning, giving students the opportunity to work with real-world datasets, ETL processes, cloud-based data platforms, and AI algorithms. You will gain expertise in data modeling, database management, data integration, and analytics, making you job-ready for today’s competitive technology landscape. The program also introduces ethical AI practices and data governance principles to ensure you are prepared to work responsibly in professional environments.
Whether you are a working professional aiming to upskill, a graduate looking to specialize in data engineering, or an international learner seeking a globally recognized qualification, this Data Engineer Certification Level 5 offers a structured pathway to career advancement. The course’s flexible online study options make it accessible to learners worldwide without disrupting current commitments.
Upon completing the LICQual Level 5 Diploma in Data and AI – Data Engineer, you will be prepared for high-demand roles such as Data Engineer, Big Data Analyst, AI Data Specialist, ETL Developer, or Database Architect. The practical skills and theoretical knowledge gained will enable you to implement efficient data solutions, contribute to AI projects, and drive data-informed business strategies.
If you are looking for a professional, globally recognized diploma in data engineering and AI that blends theory with practical application, the LICQual Level 5 Diploma in Data and AI – Data Engineer is your gateway to a successful and rewarding career in one of the most in-demand fields of technology today.
Course Overview
Qualification Title
LICQual Level 5 Diploma in Data and Al – Data Engineer
Total Units
6
Total Credits
60
GLH
360
Qualification #
LICQ2200567
Qualification Specification
‘To enroll in the LICQual Level 5 Diploma in Data and Al – Data Engineer, applicants must meet the following criteria:
|
Qualification# |
Unit Title |
Credits |
GLH |
|---|---|---|---|
|
LICQ2200567-1 |
Data Engineering Fundamentals |
10 |
60 |
|
LICQ2200567-2 |
Database Systems and Data Warehousing |
10 |
60 |
|
LICQ2200567-3 |
Data Pipelines and ETL Processes |
10 |
60 |
|
LICQ2200567-4 |
Cloud Platforms and Big Data Technologies |
10 |
60 |
|
LICQ2200567-5 |
Machine Learning for Data Engineers |
10 |
60 |
|
LICQ2200567-6 |
Capstone Project: Designing Scalable Data Solutions |
10 |
60 |
By the end of this course, learners will be able to:
Data Engineering Fundamentals
- Explain the core principles of data engineering, including data ingestion, storage, processing, and integration with AI systems.
- Analyze the role of a data engineer in designing and maintaining scalable data architectures for business and AI applications.
- Apply foundational data engineering techniques to ensure data quality, accessibility, and performance in organizational contexts.
- Evaluate the impact of data engineering practices on business efficiency and the success of data-driven initiatives.
Database Systems and Data Warehousing
- Design and implement relational and non-relational database systems to support efficient data storage and retrieval.
- Develop data warehousing solutions to enable large-scale data aggregation and analytics for business insights.
- Apply optimization techniques to enhance database performance and scalability in data-intensive environments.
- Assess the suitability of different database and warehousing solutions for specific business and AI use cases.
Data Pipelines and ETL Processes
- Design and build robust data pipelines to facilitate the extraction, transformation, and loading (ETL) of data from diverse sources.
- Implement ETL processes using industry-standard tools to ensure data consistency, accuracy, and availability.
- Optimize data pipelines for performance, scalability, and fault tolerance in real-world data workflows.
- Evaluate the effectiveness of ETL processes in supporting downstream analytics and AI applications.
Cloud Platforms and Big Data Technologies
- Utilize cloud platforms, such as AWS, Azure, or Google Cloud, to deploy and manage scalable data infrastructure.
- Apply big data technologies, such as Apache Hadoop, Spark, or Kafka, to process and analyze large-scale datasets.
- Configure cloud-based data solutions to ensure cost-efficiency, security, and performance in data engineering projects.
- Assess the advantages and limitations of cloud and big data technologies for specific organizational data needs.
Machine Learning for Data Engineers
- Explain the role of data engineering in supporting machine learning workflows, including data preparation and feature engineering.
- Implement data pipelines tailored for machine learning models, ensuring compatibility with AI frameworks like TensorFlow or PyTorch.
- Apply basic machine learning concepts to preprocess and transform data for predictive and analytical applications.
- Evaluate the impact of data engineering practices on the performance and accuracy of machine learning models.
Capstone Project: Designing Scalable Data Solutions
- Design a comprehensive, scalable data solution to address a real-world business or AI-driven challenge.
- Integrate data engineering tools, pipelines, and cloud technologies to create an end-to-end data architecture.
- Collaborate with stakeholders to ensure the solution meets business requirements and supports strategic objectives.
- Evaluate the performance, scalability, and impact of the capstone project, identifying areas for improvement and optimization.
The LICQual Level 5 Diploma in Data and AI – Data Engineer is designed for learners who want to excel in the fast-growing field of data engineering and artificial intelligence. Whether you are a graduate, working professional, or international learner, this program provides the skills and knowledge needed to design data pipelines, manage large datasets, and implement AI solutions. It is ideal for anyone seeking a globally recognized Level 5 diploma to advance their career in data engineering, analytics, and AI-driven industries.
1. Aspiring Data Engineers
- Individuals aiming to start a career as a professional Data Engineer.
- Learners seeking advanced knowledge in data pipelines, AI, and analytics.
- Beginners motivated to enter the field of data engineering and AI.
- Students looking for hands-on experience with ETL processes and big data platforms.
- Those pursuing a Level 5 Diploma in Data and AI for global recognition.
2. Graduates and Job Seekers
- Recent graduates wanting to specialize in data engineering and AI careers.
- Job seekers looking to enhance employability with a recognized Data Engineer Certification Level 5.
- Individuals aiming for entry-level to mid-level roles in data management and AI.
- Students seeking career-focused, practical training.
- Graduates wanting to stand out in the competitive tech industry.
3. Working Professionals and Career Upgraders
- Professionals aiming to advance in data engineering, AI, or analytics roles.
- Employees seeking a Level 5 Diploma in Data and AI for promotion.
- IT or analytics specialists looking to specialize in data and AI applications.
- Professionals needing flexible online programs for skill enhancement.
- Workers aspiring to lead data-driven projects in their organizations.
4. Entrepreneurs and Business Leaders
- Startup founders wanting to leverage AI and data insights for business growth.
- Business owners seeking practical knowledge in data engineering strategies.
- Entrepreneurs aiming to optimize operations using data-driven decision making.
- Leaders looking to improve business efficiency with AI solutions.
- Professionals aiming to upskill teams in data engineering tools.
5. Career Switchers
- Individuals from non-technical fields wanting to enter data engineering and AI.
- Professionals seeking structured learning in data management and AI technologies.
- Learners aiming to transition into high-demand tech roles.
- Career changers looking for flexible, online learning options.
- Individuals motivated to enter globally growing AI and analytics industries.
6. International Learners
- Students worldwide seeking a globally recognized Data and AI Diploma.
- Professionals preferring online study options for convenience.
- Learners aiming for global career opportunities in AI and data engineering.
- Individuals preparing for higher-level certifications in AI and analytics.
- Students seeking qualifications aligned with international data and AI standards.
7. Corporate Teams and Employers
- Companies wanting to upskill staff in data engineering, AI, and analytics.
- HR managers seeking professional development programs for technical teams.
- Organizations aiming to improve data-driven business insights.
- Employers needing certified Data Engineers for advanced projects.
- Businesses looking to strengthen competitive advantage through AI and data expertise.
Assessment and Verification
All units within this qualification are subject to internal assessment by the approved centre and external verification by LICQual. The qualification follows a criterion-referenced assessment approach, ensuring that learners meet all specified learning outcomes.
To achieve a ‘Pass’ in any unit, learners must provide valid, sufficient, and authentic evidence demonstrating their attainment of all learning outcomes and compliance with the prescribed assessment criteria. The Assessor is responsible for evaluating the evidence and determining whether the learner has successfully met the required standards.
Assessors must maintain a clear and comprehensive audit trail, documenting the basis for their assessment decisions to ensure transparency, consistency, and compliance with quality assurance requirements.