mod-307-data-architecture

Data Architecture and Engineering for AI

Duration: 50 hours | Module ID: mod-307-data-architecture

Overview

This module covers data architecture and engineering for ai, providing both theoretical foundations and practical application for enterprise-scale AI infrastructure.

Learning Objectives

By the end of this module, you will be able to:

• Design data platforms
• Implement governance

Topics Covered

1. Data Lakehouse
2. Streaming
3. Governance
4. Data Quality

Module Structure

• Lecture Notes: Comprehensive content on all topics
• Exercises: 5 hands-on exercises applying concepts
• Resources: Reading materials, documentation, tools
• Quiz: 15-20 questions assessing understanding

Prerequisites

• Completed all previous modules
• Senior-level AI infrastructure experience
• Understanding of enterprise architecture concepts

Getting Started

1. Read through lecture-notes.md
2. Complete exercises in exercises/ directory
3. Review additional resources in resources.md
4. Take the quiz when ready in quiz.md

Time Allocation

• Lecture Content: 60% of time
• Exercises: 30% of time
• Assessment: 10% of time

Assessment

• Quiz: 80% minimum to pass
• Exercises: All exercises should be completed
• Format: Multiple choice and scenario-based questions

Resources

See resources.md for:

• Recommended reading
• Documentation links
• Tools and frameworks
• Video tutorials
• Community resources

Next Steps

After completing this module, proceed to the next module or begin the related project.

---

Need help? Open a GitHub Discussion or check the resources section.