About this certification
The "Building Semantic Search Apps with Vector Databases and Embeddings (Video Course)" certification empowers you to create smarter search applications that understand content meaning rather than just keywords. By mastering these sought-after skills, you’ll increase productivity, gain a competitive edge, and position yourself for a future-proof career in the evolving search technology landscape. Enroll today to unlock the knowledge and hands-on expertise needed to build highly relevant semantic search solutions.
This certification covers the following topics:
- Semantic Search: Moving Beyond Keywords
- Vectors and Embeddings: Representing Meaning in Numbers
- Nearest Neighbour Search and Cosine Similarity: Finding What’s Closest in Meaning
- Vector Stores: Where Embeddings Live
- Building a Search Application: The End-to-End Workflow
- Chunking and Overlap: The Art of Splitting Data
- Consistent Embedding Models: The Non-Negotiable Rule
- Vector Store Options: Prototyping vs. Production
- Putting It All Together: The Semantic Search Pipeline
- Practical Tips and Best Practices for Building Semantic Search Apps
