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Build AI Apps with Azure Database for PostgreSQL (AI-3019)
Course 8729
- Duration: 1 day
- Language: English
- Level: Intermediate
Discover how to integrate Azure AI and Azure Machine Learning Services with Azure Database for PostgreSQL - Flexible Server to create cutting-edge AI-powered applications. This course covers practical techniques for leveraging Azure AI extensions to build apps with generative AI capabilities, semantic search, summarization, sentiment analysis, translation, and more.
Build AI Apps with Azure Database for PostgreSQL Delivery Methods
In-Person
Online
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Build AI Apps with Azure Database for PostgreSQL Training Outline
In this course, you will:
- Build innovative, AI-driven applications.
- Leverage Azure's advanced AI and ML tools.
- Gain practical experience through hands-on exercises.
- Achieve intermediate-level proficiency in AI with PostgreSQL.
Prerequisites
- Experience with PostgreSQL databases.
- Proficiency in writing SQL queries.
- Basic understanding of AI and Machine Learning concepts.
Build AI Apps with Azure Database for PostgreSQL Training Outline
Get Started with Generative AI in Azure Database for PostgreSQL
- Understand generative AI language models.
- Explore schemas and AI extensions for integration.
- Hands-on: Use Azure AI extensions for practical generative AI applications.
Enable Semantic Search in Azure Database for PostgreSQL
- Learn about vector embeddings and vector similarity.
- Build semantic search functionalities using AI and PostgreSQL.
- Hands-on: Create search and recommendation systems.
Summarize Data with Azure AI Services
- Explore extractive and abstractive summarization.
- Learn to condense complex content into summaries.
- Hands-on: Apply summarization techniques with Azure AI.
Perform Sentiment Analysis and Opinion Mining
- Use Azure AI to analyze sentiment and mine opinions.
- Extract actionable insights from textual data.
- Hands-on: Perform sentiment analysis with Azure tools.
Extract Insights Using Azure AI Language
- Dive into key phrase extraction and entity recognition.
- Recognize and redact PII using Azure Database for PostgreSQL.
- Hands-on: Extract insights with Azure AI Language services.
Translate Text with Azure AI Translator
- Translate PostgreSQL data into multiple languages.
- Hands-on: Use Azure AI Translator for multilingual solutions.
Use Azure Machine Learning for Inferencing
- Train and deploy ML models with Azure ML.
- Learn inferencing techniques directly from PostgreSQL.
- Hands-on: Perform automated machine learning and inference.
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Build AI Apps with Azure Database for PostgreSQL FAQs
No. Applied Skills credentials are not replacing Certifications. We are expanding our credentialing portfolio to better meet the needs of our learners and customers by allowing people to validate very specific skill sets with this new offering.
Certifications are role-based and evaluate a broader range of skills needed to be successful in critical roles that organizations need to be successful in today’s rapidly changing technical environment.
Applied Skills credentials are scenario-based and evaluate a narrower skill set specific to a critical business problem or challenge that organizations are facing.
If you want to demonstrate that you have the range of skills needed to succeed in a given job role, a Certification is the right way to go. If you want to validate your skills on a specific business problem or scenario your organization faces, an Applied Skills credential will make more sense.
Here are some key differentiators between Certifications and Applied Skills:
- Breadth of skills validated: Certifications typically validate 4-6 skill sets, while Applied Skills validate one specific skill set.
- Focus: Certifications are job role-based, while Applied Skills are product-based.
- Purpose: Certifications are intended to validate skills needed for the technical aspects of job roles that leverage Microsoft solutions and technologies. Applied Skills are intended to validate specific scenarios that may be hindering an organization’s digital transformation goals.
Many of the Applied Skills credentials can be used to help you prepare for Certification exams. Because Applied Skills are awarded based on performance within a lab, that experience may set you up for success on a Certification. All role-based Certification exams require experience, so earning an Applied Skills credential is one way to get some of the experience needed to pass the exam. However, not all skills assessed on a Certification exam will have an associated Applied Skills assessment lab, so you should not rely on Applied Skills alone. Visit how to prepare for a Certification exam.
If you want to demonstrate that you have skill sets that were not assessed by the Certification, are Certification “adjacent,” or are needed for a specific project that you would like to do or are working on. An Applied Skill credential would be a great way to show your employer and peers that you have those skills and the skills validated by your Certification.
It depends on your technical expertise and why you want to earn a Microsoft credential.
If you are exploring technology or just beginning your learning journey in technology, starting with a fundamentals certification makes the most sense because it focuses on ensuring you have the foundational knowledge you need to get started in technology.
If you have experience and want to explore how Microsoft technologies and solutions are used to solve critical business problems, an Applied Skills credential is a great way to validate fundamental world skills focused on specific projects or scenarios.
If you have some experience and are pursuing a job that leverages Microsoft solutions, a role-based certification is the logical solution to validate role-based skills. Note that some Applied Skills credentials relate to our certifications and may provide another way to prepare for a certification exam.