Create a custom question answering knowledge base with Azure AI Language and create a bot with Azure AI Bot Service that answers user questions.

Generative AI enables amazing creative solutions, but must be implemented responsibly to minimize the risk of harmful content generation.

This course covers RAG basics, architecture, and applications and teaches you to build RAG pipelines using LangChain and Streamlit.

Explore Azure AI Language's natural language processing (NLP) features, which include sentiment analysis, key phrase extraction, named entity recognition, and language detection.

Discover the capabilities and applications of the Gemini API for integrating AI into your applications.

Learn to enhance presentations with Gemini AI tools in Google Slides for better storytelling and data visualization.

Discover the art of prompt engineering for image generation. This course will teach you advanced techniques for effortlessly creating high-quality images.

Welcome to the Google Gemini course for IT admins. This course will teach you to leverage Google Gemini to create IT workflow and automate tasks.

Gen AI - RAG (Retrieval-Augmented Generation) Application Development using LangChain" focuses on building intelligent applications that combine the power of generative AI with retrieval-based systems. This course teaches how to integrate LangChain, an advanced framework, to design and develop AI-driven apps that retrieve and generate contextually accurate responses, offering enhanced performance and relevance in AI interactions. Ideal for those interested in creating next-gen AI solutions.

This module shows engineers how to use the Azure OpenAI Service to generate and improve code.

The Azure OpenAI service includes the DALL-E model, which you can use to generate original images based on natural language prompts.

Discover the principles and applications of generative AI, including content creation and enhancement techniques.