Artificial Intelligence
Showing 265–276 of 689 results
Fundamentals of optical character recognition
Optical character recognition (OCR) enables artificial intelligence (AI) systems to read text in images, enabling applications to extract information from photographs, scanned documents, and other sources of digitized text.
Fundamentals of question answering with the Language Service
Create a custom question answering knowledge base with Azure AI Language and create a bot with Azure AI Bot Service that answers user questions.
Fundamentals of Responsible Generative AI
Generative AI enables amazing creative solutions, but must be implemented responsibly to minimize the risk of harmful content generation.
Fundamentals of Retrieval-Augmented Generation with LangChain
This course covers RAG basics, architecture, and applications and teaches you to build RAG pipelines using LangChain and Streamlit.
Fundamentals of Text Analysis with the Language Service
Explore Azure AI Language's natural language processing (NLP) features, which include sentiment analysis, key phrase extraction, named entity recognition, and language detection.
Gemini API by Google
Discover the capabilities and applications of the Gemini API for integrating AI into your applications.
Gemini in Google Slides
Learn to enhance presentations with Gemini AI tools in Google Slides for better storytelling and data visualization.
Gemini: Prompt Engineering for Image Generation with Gemini
Discover the art of prompt engineering for image generation. This course will teach you advanced techniques for effortlessly creating high-quality images.
Gemini: Prompt Engineering for IT Administrators
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 Application Development using LangChain
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.
Generate code with Azure OpenAI Service
This module shows engineers how to use the Azure OpenAI Service to generate and improve code.
Generate images with Azure OpenAI Service
The Azure OpenAI service includes the DALL-E model, which you can use to generate original images based on natural language prompts.