Design and Deploy Scalable GenAI Systems with Ontologies, RAG, and Multi-Agent Architectures
InstructorVivian AranhaCovers ontology design with Protégé and TopBraid Composer, alongside graph querying using SPARQL, Cypher, and Gremlin.
Includes instruction on integrating vector databases like FAISS, Weaviate, and Pinecone with graph-based search methods.
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These 2 complementary views highlight concrete, legible examples from the course presentation.
This course outline details advanced technical skills including designing GenAI systems, building knowledge graphs, deploying on cloud platforms, and implementing multi-agent frameworks.
This title slide introduces the Certified Generative AI Architect course, highlighting topics like Ontologies, RAG, and Multi-Agent Architectures alongside an instructor photo.
Comidoc has tracked 37 coupons for this course since 2025, last checked 32h ago. On average, a new coupon appears roughly every 10 days.
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Provides coverage of multi-agent systems using frameworks such as LangGraph, AutoGen, and CrewAI.
One signal suggests that exercise documentation may be outdated, causing practical components to fail during implementation.
Learner feedback indicates that some laboratory steps may be too large for those lacking prior development experience, and video segments can feel brief.
The curriculum aligns well with the stated goals of AI engineers and architects through its focus on RAG and cloud-native deployment.
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