Creating AI apps with Azure Database for PostgreSQL

• First steps with generative AI in Azure Database for PostgreSQL
• Enabling semantic search in Azure Database for PostgreSQL
• Summarise data with Azure AI Services and Azure Database for PostgreSQL
• Perform sentiment analysis and opinion mining with Azure Database for PostgreSQL
• Extract insights using Azure AI Language and Azure Database for PostgreSQL
• Translate text with Azure AI Translator and Azure Database for PostgreSQL
• Use Azure Machine Learning for Azure Database for PostgreSQL inference

You should have experience working with PostgreSQL databases, writing SQL queries and a general understanding of AI and ML concepts.

Including Microsoft Applied Skills Credential
Microsoft Applied Skills are scenario-based credentials that enable participants to validate specific skills. These credentials are an efficient and reliable way to demonstrate and deepen knowledge in scenario-based skills. Applied Skills Credentials are assessed at the end of the course in an interactive lab environment.

Hone your skills for current in-demand scenarios to demonstrate proficiency in specific scenario-based skillsets so you can achieve more on every project in your organisation (and throughout your career).

• Focus on a skillset that is specific to a critical business problem or organisational challenge.
• Earn credentials by passing an online, on-demand exam where you successfully complete a series of tasks in an interactive lab environment.
• Enhance your profile by sharing your Microsoft-verified credentials and skills with your professional network so that there is no longer any doubt about your expertise.

As a Microsoft Training Services Partner, we prepare you optimally for the Microsoft Applied Skills Credentials in our training courses.

The course price includes

• The original Microsoft training documents in English and digital form

We are also happy to organise this training as an in-house seminar. Ask for your individual offer.

The course is offered in German and English.