Modern AI applications need more than powerful models. They also require a capable data foundation that can manage traditional transactional workloads while supporting intelligent features such as semantic search, vector embeddings and responses grounded in relevant application data.

Build AI Apps with Azure Database for PostgreSQL explores how Azure Database for PostgreSQL can provide the data layer for modern AI-powered applications. Learners discover practical approaches for combining PostgreSQL's relational data capabilities with AI services to create intelligent application experiences.

Throughout the learning path, participants examine how PostgreSQL can be integrated with Azure AI services. Key topics include combining relational information with vector embeddings, performing similarity searches and using relevant database content to help AI models generate more contextual and grounded responses.

The program focuses strongly on practical developer scenarios. Learners explore architectures that bring together data access, retrieval, AI reasoning and real-time application workflows, providing a structured approach to extending conventional database applications with AI-powered capabilities.

The learning path also considers the requirements involved in moving beyond early prototypes. Performance, scalability, monitoring, security and reliability are introduced as important elements when preparing AI-enabled applications for production environments.

We can organize this training at your preferred date and location.

Prerequisites

Participants should ideally have:

Basic application development experience
Familiarity with relational databases and SQL concepts
A general understanding of cloud platforms
Basic knowledge of artificial intelligence concepts

Previous experience with APIs or backend development is useful but is not mandatory.

Who Should Attend

This learning path is designed for:

Application developers creating modern, data-driven applications
Software engineers working with cloud-native architectures
AI engineers integrating data platforms with AI services
Technical professionals developing intelligent application capabilities with Azure

What You Will Learn

By the end of this learning path, learners will be able to:

Explain the role of Azure Database for PostgreSQL within AI application architectures.
Store, manage and query vector embeddings in PostgreSQL.
Integrate PostgreSQL with Azure AI services and supporting tools.
Develop AI-powered capabilities such as semantic search and retrieval.
Design Retrieval-Augmented Generation (RAG) patterns using relational and vector data.
Combine structured application data with AI workflows.
Ground model responses using relevant information retrieved from the database.
Recognise the key requirements for building scalable, production-ready AI applications.

Training Outline

1. Introduction to AI Application Architectures on Azure

This section introduces the architecture of modern AI applications and examines the role that data platforms play within these environments.

Overview of modern AI application design patterns
The role of data platforms in AI-powered solutions
Combining transactional systems with AI workloads
Common use cases for intelligent, data-driven applications
Understanding the relationship between application, data and AI model layers

2. Azure Database for PostgreSQL as an AI-Ready Data Store

This section explores how PostgreSQL can support both established database requirements and modern AI use cases.

Overview of Azure Database for PostgreSQL capabilities
Supporting hybrid workloads with relational and vector data
Managing structured and unstructured information for AI scenarios
Working with different data types through a unified data layer
Benefits of managed open-source databases on Azure

3. Working with Embeddings and Vector Data

This section introduces the vector-based techniques that allow AI applications to identify semantically related information.

Introduction to vector embeddings
Understanding the role of embeddings in AI applications
Generating embeddings with Azure AI services
Storing vector embeddings in PostgreSQL
Performing vector queries
Using similarity search to identify semantically relevant content

4. Integrating PostgreSQL with Azure AI Services

Learners explore how database information and AI capabilities can operate together within the same application workflow.

Connecting database applications with Azure AI services
Using APIs and SDKs for AI integration
Combining database query results with AI model outputs
Designing workflows that incorporate AI reasoning
Structuring integration between the data and model layers

5. Building AI-Powered Application Patterns

This section brings the individual components together through practical AI application patterns.

Implementing semantic search across application data
Building retrieval mechanisms
Designing Retrieval-Augmented Generation (RAG) pipelines
Combining relational and vector data within RAG workflows
Grounding model responses with database content
Enhancing user experiences through AI-driven capabilities

6. Designing Scalable and Production-Ready AI Applications

The final section considers how AI-enabled applications can be prepared for reliable operation in production environments.

Designing architectures for scale and performance
Managing data pipelines
Optimising database and vector queries
Monitoring and maintaining AI-enabled systems
Applying security best practices
Improving reliability across application and data layers
Core principles for production-ready AI application design

Why Choose Us

Experience Build AI Apps with Azure Database for PostgreSQL in Kazakhstan through Bilginç IT Academy's live and interactive virtual classroom environment. Join a Public course as an individual delegate or arrange a dedicated Private / In-house online training program exclusively for your organization.

Delivery Method: Online Instructor-Led
Participation Model: Public / Private (In-house)
Live and Interactive Training: Connect with your instructor in real time and actively participate through discussions, Q&A sessions, practical exercises, and group activities.
Flexible Participation: Join the training from your home, office, or any location with a suitable internet connection.
Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's professional training experience since 1995.
Worldwide Access: Join our live virtual classrooms from Kazakhstan or anywhere else in the world, or arrange a dedicated online training program for your organization.

Experience Build AI Apps with Azure Database for PostgreSQL through face-to-face Classroom Based training in Kazakhstan. Training can be delivered as a Public course open to individual delegates or as a dedicated Private / In-house class for your organization.

Delivery Method: Classroom Based
Participation Model: Public / Private (In-house)
Face-to-Face Learning: Interact directly with your instructor and fellow delegates in an engaging classroom environment.
Experienced Trainers: Learn from specialists with extensive industry experience and practical real-world knowledge.
Professional Training Environment: Attend training in comfortable, well-equipped classrooms designed to support effective learning.
Practical Learning: Depending on the course, reinforce your knowledge through hands-on exercises, scenarios, case studies, and instructor-led activities.

Arrange Build AI Apps with Azure Database for PostgreSQL in Kazakhstan as a dedicated Onsite training program for your organization. Bilginç IT Academy trainers can deliver the training at your office or another location of your choice, with the program planned around your team's requirements and business objectives.

Delivery Method: Onsite
Participation Model: Private (In-house)
Training at Your Preferred Location: Organize the training at your company's office or another location selected by your organization.
Tailored Course Content: Adapt the training program to your projects, team structure, existing skill levels, and specific business requirements.
Team-Focused Learning: Develop your team around a shared knowledge base while strengthening internal collaboration and knowledge transfer.
Flexible Scheduling: Plan the training dates, location, and program according to your organization's operational requirements.
Worldwide Onsite Delivery: Arrange the training in Kazakhstan or at another preferred location worldwide. Bilginç IT Academy trainers can travel to your selected location to deliver the dedicated training program.

Why have you chosen us?

I have attended a training from Bilginc IT Academy before and I was satisfied.

I have attended a training from a different provider and it was not helpful.

Other

How many employees do you have in your IT department?

0 – 50

50 – 250

250 – 1000

1000+

Build AI Apps with Azure Database for PostgreSQL Training in Kazakhstan

Prerequisites

Who Should Attend

What You Will Learn

Training Outline

1. Introduction to AI Application Architectures on Azure

2. Azure Database for PostgreSQL as an AI-Ready Data Store

3. Working with Embeddings and Vector Data

4. Integrating PostgreSQL with Azure AI Services

5. Building AI-Powered Application Patterns

6. Designing Scalable and Production-Ready AI Applications

Why Choose Us

Build AI Apps with Azure Database for PostgreSQL Training Course in Kazakhstan Schedule

Build AI Apps with Azure Database for PostgreSQL Training in Kazakhstan

Prerequisites

Who Should Attend

What You Will Learn

Training Outline

1. Introduction to AI Application Architectures on Azure

2. Azure Database for PostgreSQL as an AI-Ready Data Store

3. Working with Embeddings and Vector Data

4. Integrating PostgreSQL with Azure AI Services

5. Building AI-Powered Application Patterns

6. Designing Scalable and Production-Ready AI Applications

Why Choose Us

Online Instructor-Led Training

Classroom Based Training

Onsite Training

Build AI Apps with Azure Database for PostgreSQL Training Course in Kazakhstan Schedule