AI for administrators and programmers

Microsoft Azure - an introduction to managing Copilot AI in Azure

MOC AB-900 | Duration 1 day | 1 term

Introduction to Microsoft 365 and AI administration provides a comprehensive introduction to Microsoft 365, Copilot, and AI-powered agents. It introduces learners to the foundational concepts, core services, and administrative [...]

Microsoft 365 - Managing SharePoint Copilot, Agents, and Content Services

GOC224 | Duration 5 days | 13 terms

A hands-on five-day course on deploying and managing SharePoint Copilot, AI agents, and Microsoft 365 content services — from licensing through configuration and governance to operational monitoring and a rollout blueprint. This [...]

Microsoft 365 Agents SDK, Copilot Extensions and Agent 365

SPO_COPILOT | Duration 5 days | 9 terms

A five-day pro-code course for developers and architects who build agents in the Microsoft 365 environment. One agent — a Support Assistant on top of the company’s runbooks — is built over a week, with one layer added to it each [...]

Microsoft Azure AI Fundamentals

MOC AI-901 | Duration 1 day | 11 terms

This one-day course introduces the fundamental concepts of artificial intelligence (AI) and the Microsoft Azure services that can be used to build AI-based solutions. The course combines theoretical knowledge of AI with the technical [...]

Developing AI Apps and Agents on Azure

MOC AI-103 | Duration 4 days | 12 terms

This course is designed for software developers who want to build applications that use artificial intelligence on the Microsoft Foundry platform. In this course, you will learn how to develop applications with generative AI, create [...]

Certnexus - Certified Artificial Intelligence (AI) Practitioner

CAIP | Duration 5 days | 2 terms

Artificial intelligence (AI) and machine learning (ML) have become essential parts of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable [...]

Python - Introduction to Machine Learning

PYTHON_ML | Duration 5 days | No scheduled terms

The training provides the necessary introduction to the issue of machine learning in the Python programming language. During five days we will take over the issue of machine learning in practical cases with and without a teacher [...]

Python - Backpropagation in neural networks

PYTHON_ML_BP | Duration 5 days | 3 terms

Backpropagation is a learning algorithm in neural networks that is used to adapt the weights in the network to minimize the prediction error at the output of the network. The backpropagation process consists of two main steps. The [...]

Python - Convolutional neural networks

PYTHON_ML_CNN | Duration 5 days | No scheduled terms

Convolutional Neural Networks (CNN) are a type of neural networks that are often used to solve image processing problems, such as image classification, object detection, and image segmentation. Convolutional networks are based on [...]

Python - Deep Learning

PYTHON_ML_DP | Duration 5 days | No scheduled terms

Deep learning is a set of machine learning techniques that make it possible to learn a complex representation of data using multilayer neural networks. These networks are able to extract and process information from multiple levels [...]

Python - Neural networks

PYTHON_ML_NN | Duration 5 days | No scheduled terms

Neural networks are a set of mathematical models designed to process information similar to how brain neurons work. Neural networks consist of a number of neurons that are interconnected using weights and process input data to [...]

Creating a Large Language Model (LLM) in Python

PYTHON_LLM | Duration 5 days | 1 term

This course is designed for programmers who want to understand how large language models (LLMs) work "inside" and work their way practically from simple statistical language models to RNN/LSTMs to transformers and mini GPTs. In the [...]

Developing and Deploying RAG Systems in Python

PYTHON_RAG | Duration 5 days | No scheduled terms

You will learn how to design, implement, evaluate and deploy a production-ready RAG (Retrieval-Augmented Generation) system, including ingestion pipelines, embeddings and vector databases, retrieval strategies, LLM orchestration, [...]

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