The LICQual Level 6 Diploma in Data and Al – AI Data Specialist is designed to equip learners with advanced knowledge and practical skills in AI, data analytics, and machine learning. This internationally recognized Level 6 Diploma in Data and AI prepares you to become a highly sought-after AI Data Specialist, capable of delivering insights that drive business innovation and technological growth.
This advanced diploma in data science and AI goes beyond theoretical concepts, focusing on hands-on experience with real-world datasets, AI algorithms, predictive modeling, and data visualization tools. Learners will gain proficiency in managing big data, applying machine learning techniques, and implementing AI-driven solutions that solve complex business problems. The course also covers ethical AI practices, ensuring you are prepared to work responsibly in this cutting-edge field.
Whether you are a working professional aiming for career advancement, a graduate aspiring to specialize in AI and data analytics, or an international learner seeking a globally recognized qualification, this AI Data Specialist Certification Level 6 offers the perfect pathway. Flexible study options allow learners to access this Level 6 AI and Data Science Diploma online, making it convenient for professionals worldwide to upskill and stay competitive.
Upon completing the LICQual Level 6 Diploma in Data and AI – AI Data Specialist, you will be equipped to take on high-demand roles such as AI Data Specialist, Data Scientist, Machine Learning Engineer, Business Intelligence Analyst, or AI Solutions Consultant. The knowledge and expertise gained through this program not only enhance career prospects but also provide the confidence to contribute effectively to AI-driven projects in any organization.
If you are looking for a professional, globally recognized diploma in AI and data analytics that blends theory with practical application, the LICQual Level 6 Diploma in Data and AI – AI Data Specialist is your gateway to a successful career in one of today’s fastest-growing and most impactful industries.
Course Overview
Qualification Title
LICQual Level 6 Diploma in Data and Al – AI Data Specialist
Total Units
6
Total Credits
120
GLH
480
Qualification #
LICQ2200569
Qualification Specification
To enroll in the LICQual Level 6 Diploma in Data and Al – AI Data Specialist, applicants must meet the following criteria:
|
Qualification# |
Unit Title |
Credits |
GLH |
|---|---|---|---|
|
LICQ2200569-1 |
Foundations of Artificial Intelligence and Data Science |
20 |
80 |
|
LICQ2200569-2 |
Data Acquisition, Preprocessing, and Management |
20 |
80 |
|
LICQ2200569-3 |
Exploratory Data Analysis and Data Visualization |
20 |
80 |
|
LICQ2200569-4 |
Applied Machine Learning for Data Specialists |
20 |
80 |
|
LICQ2200569-5 |
AI Tools and Platforms (Python, Jupyter, TensorFlow) |
20 |
80 |
|
LICQ2200569-6 |
Project: AI-Driven Data Insights and Decision Making |
20 |
80 |
By the end of this course, learners will be able to:
Foundations of Artificial Intelligence and Data Science
- Explain the core principles of artificial intelligence and data science, including their applications in solving complex business problems.
- Analyze the role of AI data specialists in integrating data science and AI to drive organizational decision-making.
- Apply foundational AI and data science concepts to design solutions that align with business objectives.
- Evaluate the impact of AI and data science on organizational efficiency, innovation, and competitive advantage.
Data Acquisition, Preprocessing, and Management
- Implement advanced data acquisition techniques, such as APIs, web scraping, and real-time data feeds, to gather diverse datasets.
- Apply preprocessing methods, including cleaning, normalization, and transformation, to ensure data quality and usability for AI applications.
- Manage large-scale datasets using efficient storage and retrieval systems, ensuring accessibility and integrity.
- Assess the effectiveness of data acquisition and preprocessing strategies in supporting AI-driven analytics.
Exploratory Data Analysis and Data Visualization
- Conduct exploratory data analysis (EDA) using statistical techniques to identify patterns, trends, and anomalies in complex datasets.
- Create advanced data visualizations, including interactive dashboards, using tools like Tableau, Power BI, or Python libraries to communicate insights.
- Apply EDA findings to formulate hypotheses and guide AI model development for business solutions.
- Evaluate the clarity and impact of data visualizations in conveying actionable insights to stakeholders.
Applied Machine Learning for Data Specialists
- Develop and implement machine learning models, such as regression, classification, and clustering, to address specific business challenges.
- Optimize machine learning algorithms through feature engineering, hyperparameter tuning, and model evaluation techniques.
- Apply machine learning solutions to real-world datasets, ensuring scalability and performance in production environments.
- Assess the accuracy and business value of machine learning models in supporting data-driven decision-making.
AI Tools and Platforms (Python, Jupyter, TensorFlow)
- Utilize advanced AI tools and platforms, such as Python, Jupyter Notebooks, and TensorFlow, to build and test AI models.
- Write efficient code in Python to automate data processing, model training, and evaluation tasks for AI applications.
- Configure and deploy AI workflows using platforms like TensorFlow for scalable and reproducible results.
- Evaluate the suitability of different AI tools and platforms for specific data science and AI tasks.
Project: AI-Driven Data Insights and Decision Making
- Design and execute a comprehensive AI-driven project to address a real-world business or industry challenge using data insights.
- Integrate data acquisition, preprocessing, analysis, and machine learning techniques to develop an end-to-end AI solution.
- Present project findings and recommendations to stakeholders, ensuring alignment with organizational goals and priorities.
- Evaluate the project’s impact, scalability, and effectiveness in driving data-informed decisions and business outcomes.
The LICQual Level 6 Diploma in Data and AI – AI Data Specialist is designed for ambitious learners who want to excel in the rapidly growing field of artificial intelligence and data analytics. Whether you are a graduate, working professional, or an international learner, this program equips you with advanced skills in AI, machine learning, and data-driven decision-making. It is perfect for anyone aiming for a globally recognized qualification to boost career prospects in AI and data science.
1. Aspiring AI Data Specialists
- Individuals aiming to become professional AI Data Specialists.
- Learners seeking advanced knowledge in data analytics and machine learning.
- Beginners motivated to start a career in AI and data science.
- Those wanting to gain hands-on experience with AI-driven tools and platforms.
- Students looking for an international Level 6 Diploma in Data and AI.
2. Graduates and Job Seekers
- Recent graduates wanting a career in AI, data science, and analytics.
- Job seekers looking to stand out with a recognized Level 6 AI Data Specialist Certification.
- Individuals aiming for entry-level to mid-level roles in data analytics and AI.
- Learners seeking career-focused training with practical applications.
- Graduates who want to enhance employability in high-demand industries.
3. Working Professionals and Career Upgraders
- Professionals aiming to advance in AI, data analysis, or machine learning roles.
- Employees seeking a Level 6 Diploma in AI and Data Science for promotions.
- Marketing, IT, or analytics specialists looking to specialize in AI applications.
- Professionals needing flexible online learning programs for skill enhancement.
- Workers wanting to lead AI-driven projects within their organizations.
4. Entrepreneurs and Business Leaders
- Startup founders aiming to leverage AI and data insights for business growth.
- Business owners seeking practical AI and analytics knowledge to optimize operations.
- Entrepreneurs who want to implement AI-driven strategies in marketing and sales.
- Professionals aiming to make data-driven decisions for better ROI.
- Leaders looking to upskill teams in AI and analytics tools.
5. Career Switchers
- Individuals from non-technical fields aiming to enter AI and data analytics.
- Professionals seeking structured learning in AI, machine learning, and data science.
- Learners wanting a career transition into high-demand technical roles.
- Workers looking for flexible online programs to support upskilling.
- Career changers motivated to enter globally growing industries.
6. International Learners
- Students worldwide seeking a globally recognized AI and Data Diploma.
- Professionals needing flexible distance learning options to upskill.
- Learners aiming for global job opportunities in AI, machine learning, and data analytics.
- Individuals preparing for higher-level certifications in AI and analytics.
- Students looking for qualifications aligned with international AI standards.
7. Corporate Teams and Employers
- Companies wanting to upskill employees in AI, data analysis, and machine learning.
- HR managers seeking professional development courses for technical teams.
- Organizations aiming to improve AI-driven decision-making skills.
- Employers needing certified AI Data Specialists for advanced projects.
- Businesses looking to enhance competitive advantage with data-driven insights.
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.