Data Architecture With AI

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Course Description
The Data Architecture with AI course is a comprehensive 16-week program designed to equip learners with the skills to design, implement, and manage scalable data systems enhanced by artificial intelligence. As organizations increasingly rely on complex data infrastructures, the integration of AI into architectural planning becomes essential for performance, automation, and strategic insight.
This course covers foundational and advanced topics in data architecture, including data modeling, storage design, pipeline orchestration, and cloud-native architecture. Learners will explore how AI can optimize data flows, automate schema evolution, and support intelligent data governance across distributed systems.
Through hands-on projects, case studies, and guided instruction, participants will gain practical experience in building resilient, AI-ready data environments that support analytics, compliance, and innovation.
Learning Objectives
By the end of this course, learners will be able to:
- Design scalable data architectures for AI-driven environments
- Implement data models, pipelines, and storage systems using modern tools
- Apply AI techniques to automate data integration and schema management
- Optimize data workflows for performance, reliability, and compliance
- Evaluate architectural decisions in the context of business and technical requirements
- Integrate governance, security, and ethical considerations into architectural design
Course Features
- 16-week structured curriculum with weekly modules and assessments
- Hands-on labs using AI-enhanced data architecture tools
- Case studies from enterprise-scale data systems
- Expert-led instruction from data architects and AI practitioners
- Capstone project: design and document an AI-ready data architecture
- 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 engineers and architects seeking to modernize infrastructure with AI
- AI developers and technical leads managing complex data systems
- IT professionals transitioning into architecture and systems design roles
- Students and graduates in computer science, data engineering, or cloud computing
- Business analysts and strategists involved in data platform planning
- Organizations aiming to build scalable, compliant, and intelligent data ecosystems
- 16-week structured curriculum with weekly modules and assessments
- Hands-on labs using AI-enhanced data architecture tools
- Case studies from enterprise-scale data systems
- Expert-led instruction from data architects and AI practitioners
- Capstone project: design and document an AI-ready data architecture
- 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 engineers and architects seeking to modernize infrastructure with AI
- AI developers and technical leads managing complex data systems
- IT professionals transitioning into architecture and systems design roles
- Students and graduates in computer science, data engineering, or cloud computing
- Business analysts and strategists involved in data platform planning
- Organizations aiming to build scalable, compliant, and intelligent data ecosystems
- Basic understanding of data systems and digital infrastructure
- Familiarity with databases, cloud platforms, or programming concepts
- 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 cloud services is helpful but not required

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"This course offers a rigorous and well-structured approach to modern data architecture, seamlessly integrating AI into every layer of design and implementation. The curriculum balances foundational theory with hands-on application, making it ideal for both emerging professionals and experienced engineers. The capstone project was particularly valuable—challenging yet practical, and directly applicable to enterprise environments. Highly recommended for anyone seeking to build scalable, intelligent data systems."
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