Skillify Level 5 Diploma in Data and AI – Data Engineer
Launch your career in the high-demand world of data engineering with the Skillify Level 5 Diploma in Data and AI – Data Engineer, an internationally recognized qualification designed to shape you into a skilled professional capable of building and managing modern data infrastructures. This program blends advanced technical learning with practical application, equipping learners with the ability to design, optimize, and maintain the data systems that fuel artificial intelligence and business decision-making.
Whether you are transitioning into data engineering or enhancing your technical expertise, this diploma provides the knowledge and tools to excel in data-intensive industries. With a focus on real-world application, hands-on practice, and industry-standard platforms, you’ll graduate prepared to drive innovation in today’s data-driven economy.
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- Duration : 4 weeks (Self-paced)
- Certificate of Completion
- Mobile & Desktop Access
- Teacher : Michael Davis
To enroll in the Skillify Level 5 Diploma in Data and AI – Data Engineer, applicants must meet the following criteria:
- Age Requirement: Minimum 18 years.
- Educational Requirements:A Level 4 Diploma in Data Science, Computer Science, Information Technology, or a related subject. Equivalent international qualifications are accepted.
- Experience: 1–2 years of professional experience in data management, analytics, IT, or software development is recommended but not mandatory.
- English Language Proficiency: CEFR Level B2, IELTS 5.5, or equivalent qualification. Learners educated previously in English may also be accepted.
Unit Title | Credits | GLH |
Data Engineering Fundamentals | 10 | 60 |
Database Systems and Data Warehousing | 10 | 60 |
Data Pipelines and ETL Processes | 10 | 60 |
Cloud Platforms and Big Data Technologies | 10 | 60 |
Machine Learning for Data Engineers | 10 | 60 |
Capstone Project: Designing Scalable Data Solutions | 10 | 60 |
By the end of this course, learners will be able to:
- Data Engineering Fundamentals
- Design and build scalable data pipelines.
- Implement data workflows for structured and unstructured data.
- Optimize performance for real-time and batch processing.
- Database Systems and Data Warehousing
- Design relational and non-relational databases.
- Apply indexing, partitioning, and normalization techniques.
- Ensure data integrity and availability.
- Data Pipelines and ETL Processes
- Utilize cloud platforms like AWS, Azure, or GCP for data solutions.
- Implement storage, computing, and networking for large-scale data.
- Ensure scalability and security in cloud-based systems.
- Cloud Platforms and Big Data Technologies
- Apply Apache Spark, Hadoop, and other distributed systems.
- Manage and process large volumes of structured and unstructured data.
- Integrate big data solutions with business intelligence platforms.
- Machine Learning for Data Engineers
- Support machine learning and AI model deployment with data pipelines.
- Enable predictive analytics and advanced insights.
- Apply ethical and governance frameworks for AI-driven data solutions.
- Capstone Project: Designing Scalable Data Solutions
- Undertake a real-world project to showcase technical and analytical skills.
- Build, test, and present a functional data engineering solution.
- Demonstrate problem-solving and innovation in data management.
This diploma is designed for:
- IT professionals seeking to specialize in data engineering.
- Graduates in computer science, IT, or related disciplines.
- Software developers and analysts transitioning to data-focused roles.
- Professionals aiming for careers as Data Engineers, Big Data Specialists, or AI Infrastructure Developers.
- Individuals seeking an internationally recognized qualification to enhance career opportunities.
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Assessment and Verification:
All units are internally assessed by Skillify-approved centers and externally verified by Skillify. The qualification follows a criterion-referenced assessment system, ensuring learners meet all defined learning outcomes.
To achieve a Pass, learners must provide valid, sufficient, and authentic evidence demonstrating their competency in all unit outcomes. Assessors are responsible for evaluating learner submissions, maintaining transparency, and documenting decisions to ensure consistency and compliance with Skillify’s quality assurance standards.
Our Courses:
Learn to plan, conduct, and lead audits of environmental management systems in line with ISO 14001 requirements.
Develop the skills to audit risk management frameworks and evaluate how organizations identify and manage risk.
Gain the competence to lead audits of occupational health and safety management systems and assess workplace safety controls.
Focuses on auditing food safety management systems to ensure effective hazard control and compliance.
Build practical expertise in leading quality management system audits and evaluating process performance.
Covers auditing requirements for child restraint systems to ensure safety, design, and regulatory compliance.
Prepares participants to audit anti-bribery systems and promote ethical and transparent business practices.
Learn to assess sustainability management systems for events, focusing on environmental, social, and economic impacts.
Develop the ability to audit social responsibility practices and organizational accountability.
Learn how to audit energy management systems to improve efficiency and energy performance.
Provides skills to audit laboratory competence, technical operations, and quality systems.
Designed to develop auditing expertise for quality systems in the medical device industry.
Focuses on leading audits of information security management systems to protect data and information assets.
Covers auditing practices for certification bodies involved in product, process, and service certification.
Introduces conformity assessment principles and auditing approaches used within certification frameworks.
Develops skills to audit proficiency testing providers and ensure reliable testing performance.
Focuses on auditing organizations responsible for producing and managing reference materials.
Provides a strong foundation in audit principles, audit planning, and audit team leadership.
Learn to assess management systems that support long-term performance and continual improvement.
Designed for auditing quality management systems in the petroleum, petrochemical, and natural gas sectors.
Covers auditing of quality plans to ensure consistent delivery of products and services.
Develop auditing skills for quality management systems applied to project environments.
Focuses on auditing information security risk management processes and controls.
Learn to audit information management principles for building information modelling (BIM).
Covers auditing of information management practices during the asset delivery phase.
Develop skills to audit information management throughout asset operation and maintenance.
Focuses on auditing security-focused information management for built environment projects.