Semantic Kernel

Azure AI Agent Service (AI Foundry, Semantic Kernel SDK)  eBooks & eLearning

Posted by lucky_aut at Feb. 19, 2025
Azure AI Agent Service (AI Foundry, Semantic Kernel SDK)

Azure AI Agent Service (AI Foundry, Semantic Kernel SDK)
Published 2/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Duration: 6h 18m | Size: 3 GB

Work with Azure AI Foundry, Azure OpenAI, RAG, Build multi-agentic systems with Semantic Kernel SDK, Azure AI Agents

Azure AI Agent Service (AI Foundry, Semantic Kernel SDK)  eBooks & eLearning

Posted by Sigha at May 8, 2025
Azure AI Agent Service (AI Foundry, Semantic Kernel SDK)

Azure AI Agent Service (AI Foundry, Semantic Kernel SDK)
2025-04-30
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 9.21 GB | Duration: 11h 52m

Work with Azure AI Foundry, Azure OpenAI, RAG, Build multi-agentic systems with Semantic Kernel SDK, Azure AI Agents

Building AI Applications with Microsoft Semantic Kernel  eBooks & eLearning

Posted by hill0 at June 24, 2024
Building AI Applications with Microsoft Semantic Kernel

Building AI Applications with Microsoft Semantic Kernel:
Easily integrate generative AI capabilities and copilot experiences into your applications

English | 2024 | ISBN: 1835463703 | 384 Pages | EPUB | 6.3 MB

.Net Aspire And Genai Develop Distributed Architectures  eBooks & eLearning

Posted by ELK1nG at Feb. 23, 2025
.Net Aspire And Genai Develop Distributed Architectures

.Net Aspire And Genai Develop Distributed Architectures
Published 2/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.51 GB | Duration: 5h 40m

Develop AI-Powered Distributed Architecture w/ PostgreSQL, Redis, RabbitMQ, Keycloak, Ollama, VectorDB using .NET Aspire

.NET Aspire and GenAI Develop Distributed Architectures 2025  eBooks & eLearning

Posted by Sigha at May 8, 2025
.NET Aspire and GenAI Develop Distributed Architectures 2025

.NET Aspire and GenAI Develop Distributed Architectures 2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 3.10 GB | Duration: 7h 6m

Develop AI-Powered Distributed Architecture w/ PostgreSQL, Redis, RabbitMQ, Keycloak, Ollama, VectorDB using .NET Aspire
Data Science with .NET and Polyglot Notebooks: Programmer's guide to data science using ML.NET

Data Science with .NET and Polyglot Notebooks: Programmer's guide to data science using ML.NET, OpenAI, and Semantic Kernel
English | 2024 | ISBN: B0D4L1HNMK | Pages: 646 | PDF | 12.21 MB

Data Science with .NET and Polyglot Notebooks  eBooks & eLearning

Posted by First1 at Dec. 2, 2024
Data Science with .NET and Polyglot Notebooks

Data Science with .NET and Polyglot Notebooks: Programmer's guide to data science using ML.NET, OpenAI, and Semantic Kernel by Matt Eland
English | August 30th, 2024 | ISBN: 183588296X | 404 pages | True PDF | 11.72 MB

Expand your skillset by learning how to perform data science, machine learning, and generative AI experiments in .NET Interactive notebooks using a variety of languages, including C#, F#, SQL, and PowerShell

Essential AI Skills Every Developer Needs by 2026  eBooks & eLearning

Posted by lucky_aut at Sept. 30, 2025
Essential AI Skills Every Developer Needs by 2026

Essential AI Skills Every Developer Needs by 2026
Published 9/2025
Duration: 3h 47m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 3.28 GB
Genre: eLearning | Language: English

Future-Ready Developer: Skills You Can’t Miss in 2026

Syntactic Networks―Kernel Memory Approach  eBooks & eLearning

Posted by Free butterfly at Jan. 26, 2025
Syntactic Networks―Kernel Memory Approach

Syntactic Networks―Kernel Memory Approach (Studies in Computational Intelligence) by Tetsuya Hoya
English | May 22, 2024 | ISBN: 3031573110 | 144 pages | MOBI | 7.17 Mb
Data Science Solutions on Azure: The Rise of Generative AI and Applied AI, 2nd Edtion

Data Science Solutions on Azure: The Rise of Generative AI and Applied AI, 2nd Edtion
English | 2024 | ASIN: B0DDPF2GNF | 294 pages | PDF | 18.87 MB

This revamped and updated book focuses on the latest in AI technology―Generative AI. It builds on the first edition by moving away from traditional data science into the area of applied AI using the latest breakthroughs in Generative AI.