Generative AI succeeds or fails on the quality of your data strategy. In this hands on course, you’ll learn how to design scalable data frameworks and governance models that power LLMs, RAG, and agentic AI with reliable, ethical, and context rich information. The curriculum covers modern data strategy fundamentals, taxonomy design, and responsible AI practices—equipping you to reduce hallucinations, enforce compliance, and accelerate delivery of production ready AI solutions.
Advanced Data Techniques for Enterprise AI Systems
Advanced Data Techniques for Enterprise AI Systems
This course is part of Modern Data Strategy for Enterprise Generative AI Specialization
Instructors: David Drummond
Access provided by SR University
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Explain the foundational role of data management, security, and architecture in enterprise AI.
Implement cross-platform compatibility across AI models, datasets, and systems.
Apply vector database and embedding techniques to manage unstructured data.
Build unified data architectures using Iceberg, Delta, and DuckLake.
Skills you'll gain
- Data Security
- Generative AI Agents
- Data Architecture
- Metadata Management
- Data Governance
- Machine Learning
- Agentic systems
- Retrieval-Augmented Generation
- Taxonomy
- Zero Trust Network Access
- Data Storage
- Data Store
- Interoperability
- Data Management
- Large Language Modeling
- Data Ethics
- Data Strategy
- Data Processing
- Embeddings
Tools you'll learn
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
12 assignments
Taught in English
Recently updated!
September 2025
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This course is part of the Modern Data Strategy for Enterprise Generative AI Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 6 modules in this course
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