Program Highlights
Unlock the potential of AI in your applications. This specialized training teaches learners on how to build powerful, intelligent apps using Azure Database for PostgreSQL. By bringing together the strengths of open-source PostgreSQL and Azure’s scalable infrastructure and machine learning services, learners will learn to design smarter applications that automate data-driven insights and actions. This training is ideal for developers, data engineers, and AI enthusiasts seeking hands-on training to effectively combine AI and cloud databases for innovative solutions.
08-Hour LIVE Instructor-led Training 
Hands-on AI Projects 
Real-World Use Cases 
Azure + PostgreSQL Integration 
Training Completion Certificate 
Certified Experts 
Career Guidance & Mentorship 
Post Training Support 
Access to Recorded Sessions
Training Schedule
- upcoming classes
- corporate training
- 1 on 1 training
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About Course
The training is structured into seven in-depth modules, each dedicated to a key area of bringing AI capabilities directly into Azure Database for PostgreSQL. Learners will get hands-on with relevant Azure AI services, including Azure OpenAI and Azure Cognitive Services, exploring how they can significantly enhance the applications. Through practical exercises designed for real-world application, learners will build skills in setting up the Azure AI extension, working with vector embeddings, and deploying machine learning models to run inferences right within their database environment.
Course Curriculum
- Get Started with Generative AI
- Learn to use Azure Database for PostgreSQL and the Azure AI extension to build generative AI applications.
- Semantic Search with Embeddings
- Implement semantic search using vector embeddings and PostgreSQL’s pgvector extension.
- Summarize Data with Azure AI
- Generate concise summaries of complex text using Azure AI Services.
- Sentiment Analysis & Opinion Mining
- Detect sentiment and extract opinions from text data stored in PostgreSQL.
- Text Insights & Entity Recognition
- Use AI to extract key phrases, entities, and redact sensitive information.
- Text Translation with AI Translator
- Translate multilingual text in your database using Azure AI Translator.
- Machine Learning Inferencing
- Train and deploy ML models with Azure ML and call them directly from PostgreSQL.
Target Audience
This training is ideal for:
- Application Developers
- AI/ML Engineers
- Data Engineers
- Database Administrators
- Cloud Solution Architects
Pre-requisites
- Experience working with PostgreSQL databases.
- Proficiency in writing SQL queries.
- General understanding of AI and ML concepts.
Course Objectives
Upon successful completion of the training, participants will be able to:
- Understand the integration of Azure AI services with Azure Database for PostgreSQL.
- Implement semantic search capabilities using vector embeddings.
- Perform data summarization and sentiment analysis within the database.
- Extract key phrases and entities from textual data.
- Translate text using Azure AI Translator service.
- Deploy and utilize machine learning models for inferencing directly from the database.
Vision
Goal
Skill-Building
Mentoring
Direction
Support
Success
It was a very good experience with the team. The class was clear and understandable, and it benefited me in learning all the concepts and gaining valuable knowledge.
I loved the overall training! Trainer is very knowledgeable, had clear understanding of all the topics covered. Loved the way he pays attention to details.
I had a great experience with the team. The training advisor was very supportive, and the trainer explained the concepts clearly and effectively. The program was well-structured and has definitely enhanced my skills in AI. Thank you for a wonderful learning experience.
The class was really good. The instructor gave us confidence and delivered the content in an impactful and easy-to-understand manner.
The program helped me understand several areas I was unfamiliar with. The instructor was exceptionally skilled and confident in delivering content.
The program was well-structured and easy to follow. The instructor’s use of real-life AI examples made it easier to connect with and understand the concepts.
Frequently Asked Questions
What is the
This training teaches you how to integrate AI capabilities directly into your PostgreSQL applications using Azure services. You’ll explore generative AI, semantic search, sentiment analysis, text translation, and machine learning inferencing—all within a managed PostgreSQL environment on Azure.
Who should take the Build AI Apps with Azure Database for PostgreSQL training?
This training is ideal for developers, AI/ML engineers, data engineers, database administrators, and cloud architects who want to build intelligent, data-driven applications using Azure’s AI capabilities.
Do I need PostgreSQL or Azure experience to join?
Basic knowledge of PostgreSQL, SQL, and general cloud concepts (preferably Azure) is recommended.
What skills will I gain in Build AI Apps with Azure Database for PostgreSQL training?
You will learn to:
- Enable semantic search with embeddings
- Perform text summarization and sentiment analysis
- Translate text using Azure AI
- Extract insights using AI Language services
- Deploy and use ML models from PostgreSQL
- Securely scale AI workloads in the cloud
Will I get a certification after completion?
Yes, upon successful completion of the training, participants will receive a certificate of completion.
Is Build AI Apps with Azure Database for PostgreSQL training instructor-led or self-paced?
The training is LIVE instructor-led.
What are the real-world applications of Build AI Apps with Azure Database for PostgreSQL training?
You can apply your skills to:
- Build AI chatbots and intelligent assistants
- Enable smart search and recommendation engines
- Perform automated document and language processing
- Develop applications with built-in analytics and sentiment tracking
- Integrate ML models directly into transactional databases
