Course Overview
- Course Title: Certified Generative AI Architect with Knowledge Graphs
- Instructor: Vivian Aranha
- Target Audience:
- AI architects
- ML engineers
- Semantic web practitioners
- Cloud-native developers
- Prerequisites:
- Basic understanding of AI/ML concepts
- Familiarity with Python programming
- Experience with cloud platforms (AWS, Azure, or GCP)
- Interest or experience in semantic technologies
- A laptop or workstation with an internet connection
Curriculum Highlights
- Key Topics Covered:
- Generative AI architectures
- Retrieval-augmented generation (RAG)
- Agent workflows
- Knowledge graphs
- Ontologies and semantic knowledge graphs
- Hybrid retrieval systems
- Multi-agent GenAI applications
- Cloud-native deployment strategies
- Key Skills Learned:
- Designing end-to-end Generative AI architectures
- Modeling and implementing ontologies
- Building hybrid retrieval systems
- Developing multi-agent GenAI applications
- Deploying and scaling GenAI systems in cloud-native environments
Course Format
- Duration: 2 hours on-demand video
- Format: Self-paced online course
- Resources:
- 10 articles
- 10 downloadable resources
- Access on mobile and TV
- Certificate of completion