2-Day Instructor-Led Programme
Learn how vector databases power semantic search and modern AI retrieval systems. This mentor-led course uses practical scenarios to implement embeddings, similarity search, and vector indexing techniques.
Duration
2 Days
Price
$1,799
Vector databases have become a core component of modern AI systems, enabling semantic search, recommendation engines, and retrieval-augmented generation pipelines. By storing high-dimensional embeddings, vector databases allow applications to retrieve information based on meaning rather than keywords.
This mentor-led programme introduces the fundamental concepts behind vector search and embedding-based retrieval systems. Participants explore how embeddings are created, how vector similarity works, and how vector databases support scalable semantic search applications.
Through practical scenarios, learners implement simple vector search pipelines and integrate them with AI applications. By the end of the course, participants will understand how vector databases support production systems such as AI assistants, recommendation engines, and knowledge retrieval platforms.
Build a semantic search prototype using embeddings and a vector database.
Mentor-led sessions exploring real-world vector search architectures and implementation scenarios.
Understand and implement vector search systems for AI applications.
Design semantic search architectures using vectors
Analyse embedding strategies for AI retrieval
Implement vector indexing and similarity search
Evaluate retrieval relevance and search performance
Communicate vector search architecture decisions
Lead development of embedding-based AI features
Basic understanding of databases or data systems
Familiarity with APIs or programming basics
Interest in AI or search technologies
Step-by-step learning journey from basics to professional practice
Master these in-demand skills through hands-on practice
A clear view of the roles this programme supports, what typically comes next, and where learners progress over time
Choose the learning format that works best for you and your team
Instructor-Led Training
Join live instructor-led sessions from anywhere. Interactive, engaging, and flexible.
Price per person
Group enrolments and early planning options available.
All prices are exclusive of VAT where applicable. Group enrolments and custom packages available on request.
Not everyone learns best in a group. If you want focused guidance, faster clarity, and confidence you can use on the job, our 1-to-1 Fast-Track Training gives you private, mentor-led support tailored to your experience and goals.
"Many learners choose 1-to-1 when they want understanding, not memorisation."
Everything you need to know about the certification exams
You will receive an Xcademia certificate of completion based on participation and successful completion of labs and scenario simulations.
Credential
On successful completion of Vector Database Fundamentals, learners receive an Xcademia Certificate of Completion. This standalone certificate is issued directly by Xcademia and is aligned with globally recognised frameworks and best practices.
Everything you need to know about this course
A vector database stores embeddings and allows similarity-based search to retrieve information based on meaning rather than keywords.
Take the next step in your professional development
