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Instructor-led training
AI Applications with Azure PostgreSQL Training in London and Live Online

AI Applications with Azure PostgreSQL

Build data-grounded AI application patterns with Azure Database for PostgreSQL. Explore embeddings, vector search, filtering and application integration while measuring retrieval quality and operational cost.

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Intermediate

PostgreSQL, SQL and application programming skills with basic generative AI and Azure knowledge.

5 days to complete
Available online
& in class

Select your preferred method

Course overview
Course dates
  • In Classroom
  • Live Virtual
  • 1 - 1 Training
  • Corporate Training
  • Onsite Training
Introduction
Build data-grounded AI application patterns with Azure Database for PostgreSQL. Explore embeddings, vector search, filtering and application integration while measuring retrieval quality and operational cost.


This instructor-led course combines clear explanations with guided exercises and practical scenarios. Work through examples relevant to the subject, review alternative approaches and practise checking your results rather than relying on a demonstration alone.
You will develop a structured approach to implementation, troubleshooting and documentation. The trainer can adapt examples to the agreed learning needs and available training environment. Confirm the course duration, software or lab requirements, delivery arrangements and fees with London IT Training before booking.
This is professional development training. It does not automatically award a third-party vendor certification.
What the course covers
Flexible Ways to Learn

Study your way with flexible learning options designed to fit around your schedule.

Small Groups

With small groups of students, our instructors can work closely with each student

Flexible Class Schedules

Our class schedules are flexible on weekdays, weekend or evening to suit your schedule.

Experienced Instructors

Our instructors follow a modified and personalised approach to engage students during class

Hi-Tech lab Facilities

Lab arrangements vary by course. Confirm access and equipment requirements before booking.

Prerequisites
What you’ll gain

Apply ai data architecture in a practical course exercise.

Apply embeddings and database preparation in a practical course exercise.

Apply vector search and filtering in a practical course exercise.

Apply retrieval-augmented application in a practical course exercise.

Develop skills for your next step
Relevant career pathways
Technical Practitioner:

Apply the course skills to relevant technical tasks.

Technical Consultant:

Assess requirements and recommend practical implementation choices.

Syllabus

Course context and practical foundations
Review the course objectives and relevant concepts. Set up a suitable training environment, identify a realistic example and agree how to validate the results.

Define source data, retrieval requirements and application boundaries. Select appropriate database and model integration patterns.

Prepare sample content and store vector representations with useful metadata. Track model and source versions.

Build similarity queries and apply metadata constraints. Compare relevance and performance using representative examples.

Connect retrieval results to a generation workflow. Preserve source references and handle missing or irrelevant context.

Apply scoped database access and protect sensitive content. Test grounding, prompt injection and information exposure risks.

Inspect query latency, indexing and connection use. Plan refresh, deletion and monitoring as source data changes.

Complete an integrated exercise using sample data or an isolated training environment. Test the result, document decisions and troubleshooting steps, and identify improvements and next learning objectives.

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FAQs

Who is this course for?
Build data-grounded AI application patterns with Azure Database for PostgreSQL. Explore embeddings, vector search, filtering and application integration while measuring retrieval quality and operational cost.

PostgreSQL, SQL and application programming skills with basic generative AI and Azure knowledge.

AI data architecture; Embeddings and database preparation; Vector search and filtering; Retrieval-augmented application; Security and evaluation; Performance and maintenance.

No. This is professional development training. It does not automatically award a third-party vendor certification.

Contact London IT Training to discuss classroom, live online and corporate delivery arrangements.

Contact the training team for current duration, available dates, fees and software or lab requirements. Do not assume that licences, materials or examination fees are included.

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Talk to one of our advisers about dates, delivery options and certification routes. We’ll call you back within 1 working day.

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