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AI-3019: Build AI Apps with Azure Database for PostgreSQL Certification
Vinsys Qatar provides one-day training for AI-3019: Build AI Apps with Azure Database for PostgreSQL that focuses on generative AI and its applications in PostgreSQL. Learners will grasp several areas, including sentiment analysis, generative AI models, and text translation using Azure AI service
AI-3019: Build AI Apps with Azure Database for PostgreSQL
Showcase of expertise through course completion certification.
Real-time expert help through live Q&A sessions.
Hands-on training with exclusive AI tools and cloud resources.
Course Overview
AI-3019: Build AI Apps with Azure Database for PostgreSQL course is targeted at software engineers, data professionals, and database managers who want to use AI to build actionable systems. With the Azure AI extension, participants can use Azure AI services to conduct semantic searches, sentiment analysis, text summarization, translations, and more. They will also learn to optimize the performance and scalability of an AI-centric Azure Database for PostgreSQL—Flexible Server.
The course consists of practical sessions, and learners have the opportunity to create AI applications targeted at natural language processing, knowledge extraction, and multilingual information processing. These primary concepts encompass the workflows of document translation, the use of Azure AI Translator to perform automatic translations during data insertion, and the facilitation of AI interactions within PostgreSQL.
Toward the end of the course, learners will exhibit comprehension of AI-enhanced databases, cloud-native architectures, and AI model deployments. This course is available in the Middle East region, specifically the UAE, Qatar, and KSA. It allows professionals to improve their AI and database knowledge using practical skills.
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Course Objectives
Upon completion of this program, participants ought to be able to:
- Comprehend the fundamentals of generative AI and its application with Azure Database for PostgreSQL.
- Make use of novel AI technologies through the implementation of generative AI models.
- Learn integration and optimization techniques for semantic search.
- Study methods for improving the accuracy and relevancy of the search results.
- Leverage Azure AI’s capabilities to provide summarization of complex datasets.
- Enhance business intelligence and decision-making through advanced data analytics.
- Analyze the semantic orientation of the texts to perform sentiment analysis.
- Understand opinions and viewpoints from multiple data sets to achieve relevant insights.
- Use Azure AI Language, along with Azure Database, to gain insights.
Audience
AI-3019: Build AI Apps with Azure Database for PostgreSQL is suitable for a wide audience, which includes:
- Database Developer
- Database Administrator
- IT Professional
If you are interested in taking this course and are from another industry, please contact us. Our professionals will assist you in selecting a course that aligns with your professional goals and path.
Eligibility Criteria
Having fulfilled the following criteria will help you in the smooth conduct of the AI-3019: Build AI Apps with Azure Database for PostgreSQL training:
- Experience working with PostgreSQL databases
- Writing SQL queries
- General understanding of AI
- Fundamental knowledge of ML concepts
Please contact Vinsys to understand more about the eligibility criteria. Our experts will guide you and make your journey easier.
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.
Module 2: Enable semantic search in Azure Database for PostgreSQL
- Analyze the ideas of embedding vectors and semantic search.
- Recognize 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 embedding
- Lab: Develop a recommendation system's search feature.
Module 3: Summarize data with Azure AI Services and Azure database for PostgreSQL
- Assess the summarization methods that Azure AI Services and the azure_ai extension offer.
- Analyze the distinctions between query-focused, abstractive, and extractive summarization.
- Use Azure AI Services and the azure_ai extension for summarization to practice applying generative AI summarization approaches to data in a PostgreSQL database.
- Conduct extractive and abstractive summarization 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).
- Recognize the features offered by the PostgreSQL azure_ai extension to access Azure AI Language.
- Use the azure_ai extension to extract keywords, 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
- Recognize 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
- Platforms to discuss and share ideas along with other learners.
- Self-paced instructor-led combined flexible learning schedule.
- Applied knowledge through project-based assessments.
- Placement assistance for internships and jobs with top tech companies.
Corporate Training
- Engagement and retention-focused gamified learning modules.
- Global inclusivity and accessibility through multi-language support.
- Hands-on experience contributing to open-source AI projects.
- Self-improvement tracking and goal-setting personalized dashboard.
FAQ’s
Who can join the AI-3019 course?
AI-3019 is suited for an audience that comprises database developers, database administrators, IT specialists, and professionals who would like to incorporate AI into their applications with the help of the Azure Database for PostgreSQL. Whether you want to augment your database skills or venture into AI-powered development, this course offers the essential information and practical training needed.
What are the eligibility criteria for AI-3019 enrollment?
To efficiently benefit from AI-3019, prospective learners are expected to possess prior experience in SQL querying, work with PostgreSQL databases, and have a basic knowledge of AI and machine learning.
What will organizations stand to gain from the AI-3019 program?
The AI-3019 course will help organizations improve their database management, AI integration, and application optimization on the cloud using Azure Database for PostgreSQL. The training will assist employees become proficient in data processing, AI integration, and system scalability, enhancing operational efficiency, reduced costs, and improved business intelligence.
What are the individual gains from AI-3019?
This helps learners stand out in the market as they acquire skills in AI development and helps them advance professionally as the demand for this skill increases. The course also provides additional certifications and networking opportunities while assisting professionals in advancing their careers in database management, AI technologies, or other IT specialties.
Can Vinsys modify the AI-3019 program to suit the organization’s needs?
Yes, Vinsys does provide custom training to fit specific organization requirements. The training can concentrate on particular industry AI use cases, PostgreSQL performance tuning, or cloud solutions at the enterprise level to ensure relevancy and impact for the teams.
Does the AI-3019 course offer an online version?
Indeed, learners enrolled in AI-3019 can participate in an online program that offers engaging lessons, practical labs, and real-life cases.
How long is the AI-3019 course?
The AI-3019 course is a single-day training session to achieve a precise and fully integrated learning experience.
What are the career opportunities after completing the AI-3019: Build AI Apps with Azure Database for PostgreSQL?
The course “AI-3019: Build AI Apps with Azure Database for PostgreSQL” offers specialization under a variety of fields including, but not limited to, applied database programming, data engineering, and the development of AI applications that leverage the automation Postgresql databases on the Azure environment.
What will I learn in AI-3019: Build AI Apps with Azure Database for PostgreSQL?
In the course AI-3019: Build AI Apps with Azure Database for PostgreSQL, you will learn to leverage the Azure AI extension for semantic functionalities such as search, text summarization, and sentiment analysis, employing them in the PostgreSQL database to develop advanced AI applications directly within the database.
Will I get a certification after completing AI-3019?
If the AI-3019 course is satisfactorily completed, attendees will receive a certificate from Vinsys. This credential showcases the individuals’ knowledge and skills in AI integration, managing PostgreSQL databases, and developing cloud applications on Azure, thus improving their professional qualifications and career prospects.
Why Vinsys
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Reviews
The AI-3019 course from Vinsys was just what I needed! The hands-on nature of this course made the integration of AI with PostgreSQL seamless. The real-life case studies made the learning captivating and valuable. I feel proficient in using these skills for my projects.
Indranil DuttaProject Manager
Amazing learning experience! I learned about AI integration, cloud scaling, and PostgreSQL optimization all in one day. It was the hands-on activities combined with mentorship from the experts that changed everything. This is the best course from Vinsys for IT professionals wishing to learn AI for PostgreSQL
Mohan PrabhuData Base Enginner
Vinsys offered unparalleled training and tailored the content to suit our organization's requirements. The AI-3019 course prepared our staff to integrate AI into PostgreSQL databases seamlessly. The hands-on experience combined with expert supervision is precisely what we need to boost our data-driven decision-making.
Kamin ShahIT Head
This training by Vinsys was a turning point for the employees. Our database administrators and IT specialists understood the practical aspects of employing AI and cloud scalability. The course matched our training needs and business goals.
Feroz MehdriSenior Project Manager
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