Data Modelling With AI

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The Data Modelling with AI course is a 20-week online program designed to equip learners with the skills to design, implement, and optimize data models using artificial intelligence. As data complexity and scale increase, AI-driven modeling techniques offer enhanced accuracy, automation, and adaptability across diverse domains.
This course covers conceptual, logical, and physical data modeling, with a focus on AI-assisted schema generation, feature engineering, and model validation. Learners will explore relational, dimensional, and NoSQL models, and apply AI tools to streamline design, detect anomalies, and support predictive analytics.
Through guided instruction, practical labs, and a capstone project, participants will gain the expertise to build intelligent data models that support scalable systems, governance, and business insight.
Learning Objectives
By the end of this course, learners will be able to:
- Design and document conceptual, logical, and physical data models
- Apply AI techniques to automate schema generation and refinement
- Use modeling tools to support relational, dimensional, and NoSQL systems
- Integrate feature engineering and data validation into modeling workflows
- Evaluate model performance and adaptability in dynamic environments
- Align data models with governance, compliance, and business requirements
Course Features
- 20-week structured curriculum with weekly modules and assessments
- Hands-on labs using AI-enhanced data modeling tools
- Case studies from real-world data systems and applications
- Expert-led instruction from data scientists and architects
- Capstone project: design and validate an AI-assisted data model
- Certificate of completion recognized by industry partners
- Fully online access with flexible scheduling and downloadable materials
- Progress reset and retake options available
- Optional peer forums and review features for collaborative learning
Ideal Candidates
This course is designed for:
- Data analysts, engineers, and architects seeking to modernize modeling practices
- AI developers and technical leads working with structured and semi-structured data
- IT professionals transitioning into data design and governance roles
- Students and graduates in computer science, data science, or information systems
- Business analysts and strategists involved in data planning and integration
- Organizations aiming to build intelligent, compliant, and scalable data models
- 16-week structured curriculum with weekly modules and assessments
- Hands-on labs using AI-enhanced data modeling tools
- Case studies from real-world data systems and applications
- Expert-led instruction from data scientists and architects
- Capstone project: design and validate an AI-assisted data model
- Certificate of completion recognized by industry partners
- Fully online access with flexible scheduling and downloadable materials
- Progress reset and retake options available
- Optional peer forums and review features for collaborative learning
- Data analysts, engineers, and architects seeking to modernize modeling practices
- AI developers and technical leads working with structured and semi-structured data
- IT professionals transitioning into data design and governance roles
- Students and graduates in computer science, data science, or information systems
- Business analysts and strategists involved in data planning and integration
- Organizations aiming to build intelligent, compliant, and scalable data models
- Basic understanding of data structures and modeling concepts
- Familiarity with databases, programming, or analytics tools
- Ability to commit approximately 6–8 hours per week for coursework
- Proficiency in English, as all instruction and materials are delivered in English
- Access to a computer with internet connectivity and basic productivity software
- Optional: Prior experience with Python, SQL, or modeling tools is helpful but not required

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