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AI-3019: Build AI Apps with Azure Database for Postgre SQL Certification
Vinsys offers a one-day training course on AI-3019: Build AI Apps with Azure Database for PostgreSQL, specializing in generative AI and its use with PostgreSQL. Learners will gain the fundamental steps to perform insight extraction and translation via Azure AI services. Combine AI, process inform
AI-3019: Build AI Apps with Azure Database for Postgre SQL Certificati
Immediate assistance from an expert via live Q&A sessions.
An exhibit of skills by gaining a course certification.
Maintains the industrial relevance of all course curriculum components.
Course Overview
The AI-3019 Build AI Apps With Azure Database for PostgreSQL course is aimed at computer software engineers, data specialists, and database administrators who want to use AI to create functional systems. With the Azure AI extension, participants can perform semantic searches, sentiment analysis, text summarization, translations, and more using Azure AI services. They will also learn how to enhance the performance and scalability of an AI-over Azure Database for PostgreSQL—Flexible Server.
The course focuses on practical, and participants can develop AI solutions for Natural Language Processing, Knowledge Extraction, and Multilingual Information Processing. These central ideas cover the workflows of document translation, performing automatic translation during data insertion using Azure AI Translator, and facilitating AI interactions in PostgreSQL.
At the end of the course, learners will demonstrate knowledge of AI databases, cloud-native, and the architecture of AI model deploys. Take your AI app development to the next level with advanced features offered by Azure Database for PostgreSQL. Enroll in Vinsys UAE's course to gain practical skills and knowledge on AI integration.
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Course Objectives
At the end of this course, the participants will be able to:
- Recognize the basic concepts of generative AI and its uses with Azure Database for PostgreSQL.
- Utilise new AI technologies like the implementation of generative AI models.
- Understand techniques for the integration and optimization of semantic search.
- Learn how to improve the relevance and accuracy of the search results.
- Apply Azure AI capabilities to provide summarization of intricate datasets.
- Develop business intelligence and decision-making with the Power of Data Analytics.
- Conduct sentiment analysis by examining the semantic orientation of the texts.
- Analyze the opinions and views from different datasets to derive meaningful insights.
- Implement the use of Azure AI-Language and Azure Database to gain intelligence.
Audience
AI-3019: Build AI Apps with Azure Database for PostgreSQL is designed for many people, including:
- Database Developer
- Database Administrator
- IT Professional
Please contact us if you are from another industry and are interested in taking this course. Our experts will help you choose a course that fulfills your professional aims.
Eligibility Criteria
Completing the following requirements will help you seamlessly execute AI-3019: Build AI Apps with Azure Database for PostgreSQL training.:
- Knowledge of working with PostgreSQL databases
- Ability to write SQL queries
- Awareness about AI
- Basics of ML concepts
Contact Vinsys for more information about eligibility requirements. Our specialists will assist you and simplify your learning experience.
Course Outline
Module 1: Get started with generative AI in Azure Database for PostgreSQL
- Analyse huge language models and generative AI concepts and investigate how they might be applied to create rich AI applications.
- Assess the capabilities of the PostgreSQL Azure AI addon.
- Install and investigate the azure_ai extension on a PostgreSQL-Flexible Server Azure database.
- Examine the Azure AI extension in the lab.
Moduel 2: Enable semantic search in Azure Database for PostgreSQL
- Analyse the ideas of embedding vectors and semantic search.
- Recognise the distinction between semantic and lexical search.
- Assess the capabilities offered by the PostgreSQL azure_ai extension.
- Install and investigate the azure_ai and vector extensions on a PostgreSQL Azure database.
- Lab: Use Azure OpenAI to create vector embeddings
- Lab: Develop a recommendation system's search feature.
Module 3: Summarize data with Azure AI Services and Azure database for PostgreSQL
- Assess the summarisation methods that Azure AI Services and the azure_ai extension offer.
- Analyse the distinctions between query-focused, abstractive, and extractive summarisation.
- Use Azure AI Services and the azure_ai extension for summarisation to practise applying generative AI summarisation approaches to data in a PostgreSQL database.
- Conduct extractive and abstractive summarisation in the lab.
Module 4: Perform sentiment analysis and opinion mining with Azure Database for PostgreSQL
- Examine the foundations of sentiment analysis and how to apply it to understand user feelings and attitudes.
- Explain how to use opinion mining techniques to find feelings associated with particular qualities.
- Use the azure_ai extension to apply sentiment analysis to user reviews in a PostgreSQL database.
- Lab: Conduct sentiment analysis
Module 5: Extract insights using Azure AI Language and Azure Database for PostgreSQL
- Study the ideas of entity identification, key phrase extraction, and PII (personally identifiable information recognition).
- Recognise the features offered by the PostgreSQL azure_ai extension to access Azure AI Language.
- Use the azure_ai extension to extract key words, identify textual entities, and redact personally identifiable information (PII) in an Azure Database for PostgreSQL-Flexible Server database.
- Lab: Use the Azure AI Language service to extract insights
Module 6: Translate Text with Azure AI Translator and Azure Database for PostgreSQL
- Discover how to use the Azure AI Translator to translate documents.
- Discover how the Azure AI extension makes it possible for Azure Database and
- PostgreSQL: Azure AI Translator and Flexible Server
- Recognise one method for automatically translating documents as part of the record entry process.
- Lab: Text translation
Module 7: Use Azure Machine Learning for inferencing from Azure Database for PostgreSQL
- Discover how to use automated machine learning to train and implement an Azure Machine Learning model.
- Discover how to use Azure Database for PostgreSQL - Flexible Server to activate installed Azure Machine Learning models.
- Discover how to create predictions for every entry in a PostgreSQL-Flexible Server table in an Azure database.
- Lab: Use Azure Machine Learning to carry out inference
Choose Your Preferred Mode
Online Training
- Offers various learning options like private sessions, independent learning, traditional classroom lessons, and live webcasts.
- Review what was taught during the classes and cover any lessons missed through online course material.
- Industry-oriented training gives practical knowledge of their subject.
- Outstanding training assistance provides strategies for practical application.
Corporate Training
- Design approaches to learning to help individuals boost their productivity and capability.
- Live lectures, demonstrations, and virtual laboratory enable to gain assistance right away.
- Offers specialized group training to improve the skills.
- Access to a blend of theoretical work and practical engagement.
FAQ’s
Who is eligible to attend the AI-3019 class?
The AI-3019 class is designed for database developers, IT specialists, and even software professionals who wish to use AI with PostgreSQL through Azure Database. It caters to people willing to build upon their database experience and those willing to enter the world of AI development. This course will equip you with the skills and knowledge necessary to become proficient in AI through hands-on experience.
Who qualifies for enrollment in the AI-3019 course?
Prospective learners are expected to have a working knowledge of SQL querying, experience working with PostgreSQL databases, and an elementary understanding of AI and machine learning to receive the maximum benefit from AI-3019.
What do relevant stakeholders expect to benefit from the AI-3019 course?
The AI-3019 course equips learners with the skills to manage databases, integrate AI, and optimize applications on cloud platforms using Azure Database for PostgreSQL. This will enable the workforce to process data, integrate AI, and scale systems, improving efficiency, reducing costs, and enhancing business intelligence.
What will the learners gain from the AI-3019?
This enables learners to acquire skills in AI development and helps them advance professionally as the demand for these skills grows. The course also offers several certificates and tremendous networking potential, assisting professionals to advance their careers in database management, AI, or other IT fields.
Can Vinsys alter the AI-3019 program to fit the requirements of the organization?
Vinsys offers tailored training courses to meet the specific needs of an organization. The training can be altered according to the particular industry AI applications, PostgreSQL performance optimization, or enterprise-level cloud solutions that are relevant and beneficial to the teams.
Is there a distance learning option available for the AI-3019 course?
Yes, participants can access an online version of the AI-3019 course that features animated lectures, virtual labs, and experiential learning exercises.
What is the duration of the AI-3019?
The AI-3019 course is a one-day training course that provides specific and holistic learning.
What career opportunities will be there to explore after completing the AI-3019: Build AI Apps with Azure Database for PostgreSQL course?
The program “AI-3019: Build AI Apps with Azure Database for PostgreSQL” provides career opportunities option under a variety of disciplines including, but not limited to, applied database engineering, data science, and development of AI systems for automating Postgresql databases in an Azure environment.
What concepts are taught in AI-3019: Build AI Apps with Azure Database for PostgreSQL?
This course, AI-3019: Build AI Apps with Azure Database for PostgreSQL, will equip you with the skills to use the Azure AI extension for semantic search, text summarization, and sentiment analysis and implement them in an advanced AI application built with the PostgreSQL database that works inside the database.
Are learners of the AI-3019 course eligible for a certificate of completion?
Vinsys will issue a certificate to participants who successfully finish the AI-3019 course. The certificate adds value to the individual's credentials by proving their competence in integrating AI, administering PostgreSQL databases, and building cloud applications on Azure, thus enhancing their professional marks and career opportunities.
Where in the Middle East can I enroll in the AI-3019 Build AI Apps With Azure Database for PostgreSQL course with Vinsys?
Vinsys offers AI-3019 Build AI Apps With Azure Database for PostgreSQL courses in UAE and several other places in the Middle East.
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Reviews
The AI-3019 course by Vinsys UAE was precisely what I was looking for. This course has a hands-on component that made merging AI with PostgreSQL effortless. The real-world case studies were not only helpful but very interesting. I am confident that I can use these skills in my projects.
Khyati ChauhanQuality Analyst
Amazing learning experience! Everything from AI integration cloud scaling to PostgreSQL optimization was taught in one day. The hands-on activities, paired with guidance from the experts, were life-changing. This is the best course from Vinsys for an IT professional looking to gain knowledge on AI for PostgreSQL.
Rupali ShiroleProject Manager
This training by Vinsys UAE was a game changer for the staff. Our database administrators and IT personnel appreciated the practical application of AI and cloud scalability. The training matched our expectations as well as our business objectives.
Chandan MajrowarData Base Enginner
Vinsys provided unmatched training and customized the material to meet our company's needs. Our employees were ready to smoothly incorporate AI into PostgreSQL databases thanks to the AI-3019 training. The combination of practical experience and professional oversight is precisely what we need to improve our ability to make data-driven decisions.
Abhinav RaoData Analyst
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