1 Day Training Ultra Tendency Academy: Microsoft Azure AI Large Languae Models Training

Ultra Tendency International GmbH

This course benefits your team by enhancing language processing capabilities and optimizing model performance, enabling efficient information retrieval on Microsoft Azure AI.

Embark on a transformative journey with our immersive Microsoft Azure AI LLMs training program today:

  1. Introduction to Microsoft Azure AI Large Language Models: Explore the fascinating world of Large Language Models (LLMs), understanding their capabilities, limitations, and potential applications in various domains.
  2. Fundamentals of Prompt Engineering Learn the essential techniques and strategies for effectively crafting prompts to elicit desired responses from Microsoft Azure AI LLMs, enabling more precise and controlled language generation.
  3. Intro into Vector Databases for LLMsDelve into the concept of vector databases specifically designed for Microsoft Azure AI LLMs, understanding their unique data structures and query mechanisms for efficient storage and retrieval of language-based information.
  4. Integration of Vector Databases with Microsoft Azure AI LLMs: Discover how to seamlessly integrate vector databases with LLMs, leveraging their complementary strengths to enhance performance, scalability, and versatility in language-based applications.
  5. Agent Architectures and Dialogue Management: Gain insights into different agent architectures and dialogue management approaches, exploring the intricacies of building conversational agents powered by LLMs.
  6. Real-world Applications of Microsoft Azure AI LLM-based Agents Explore the wide range of practical applications where LLM-based agents excel, from virtual assistants and customer support chatbots to content generation and language understanding systems.

Flexible Program Duration ( 1 day or longer), online or onsite. 4.500€ Euros+ VAT per training day remote, training classes typically between 7-9 people. Travel expenses for onsite training in addition.