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Vector Search and Embeddings Training

Live Online & Classroom Enterprise Training

Learn how vector search and embeddings power modern AI applications such as semantic search, recommendation systems, and generative AI. This course introduces the concepts, tools, and practical implementation approaches used in real-world AI solutions.

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What is Vector Search and Embeddings Course about?

This course provides a foundational to intermediate understanding of vector embeddings and vector search technologies used in AI and machine learning systems. You will explore how data (text, images, audio) is converted into vector representations and how similarity search works using vector databases. The course also covers real-world use cases, architecture patterns, and implementation strategies using modern AI platforms and tools.

What are the objectives of Vector Search and Embeddings Course ?

  • Understand embeddings and high-dimensional vector representations
  • Learn how vector similarity search works
  • Explore vector databases and indexing techniques
  • Implement vector search pipelines in AI applications
  • Apply vector search in real-world business use cases

Who is Vector Search and Embeddings Course for?

  • AI / ML Engineers
  • Data Scientists
  • Software Developers working on AI applications
  • Cloud and Solution Architects
  • Technical Professionals working with search or recommendation systems

What are the prerequisites for Vector Search and Embeddings Course?

Prerequisites:

  • Basic understanding of Python or any programming language
  • Fundamental knowledge of databases
  • Basic understanding of Machine Learning concepts
  • Familiarity with APIs and cloud services
  • Understanding of JSON / data structures


Learning Path:

  • Introduction to Embeddings and Vector Mathematics
  • Generating Embeddings using AI Models
  • Vector Databases and Indexing Techniques
  • Implementing Vector Search Applications
  • Optimizing and Scaling Vector Search Systems


Related Courses:

  • Introduction to Generative AI
  • Machine Learning Fundamentals
  • Building AI Applications with APIs
  • Database Fundamentals for Developers

Available Training Modes

Live Online Training

1 Days

Course Outline Expand All

Expand All

  • Overview of vector search concepts.
  • Understanding the role of embeddings in search.
  • Exploring semantic search techniques.
  • Implementing embeddings for improved search relevance.
  • Combining semantic and keyword-based search methods.
  • Balancing precision and recall in search results.
  • Understanding RAG and its applications.
  • Minimizing AI hallucinations through grounded AI agents.
  • Hands-on experience with Vertex AI Vector Search.
  • Building intelligent search engines using Google Cloud tools.

Who is the instructor for this training?

The trainer for this Vector Search and Embeddings Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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