(los posts aquí contenidos han sido creados (y contienen imágenes oficiales) siguiendo los cursos oficiales self-paced de learn.microsoft.com AI-200. Para más información recomiendo seguir los mismos cursos)

status: in progress

Contents

Develop containerized solutions on Azure (20-25%)

• Implement container application hosting
• Implement container-orchestrated solutions

Develop AI solutions by using Azure data management services (25-30%)

• Develop AI solutions by using Azure Cosmos DB for NoSQL
• Develop AI solutions by using Azure Database for PostgreSQL
• Intwegrate Azure Managed Redis in AI solutions

Connect to and consume Azure services (20-25%)

• Develop event- and message-based AI solutions
• Develop and implement Azure Functions

Secure, monitor, and troubleshoot Azure solutions (20-25%)

• Implement secure Azure solutions
• Monitor and troubleshoot Azure solutions

Microsoft official learning paths

(los posts aquí contenidos han sido creados (y contienen imágenes oficiales) siguiendo los cursos oficiales self-paced de learn.microsoft.com AI-901. Para más información recomiendo seguir los mismos cursos)

status: certified
Microsoft Certified: Azure AI Fundamentals

Contents

Identify AI Concepts and capabilities (40-45%)

• Describe principles of responsible AI (fairness, reliability, privacy, transparency, accountability)
• Identify AI model components and configurations
• Identify AI workloads

Implement AI solutions by using Microsoft Foundry (55-60%)

• Implement generative AI apps and agents by using Foundry
• Implement AI solutions for text and speech
• Implement AI solutions with computer vision and image generation
• Implement AI solutions for information extraction

Microsoft official learning paths

AI concepts for developers and technology professionals

Microsoft responsible principles

AI

How gen AI works under the hood
Representar texto como vectores
RAG concepts
Prompts & agents

NLP

NLP concepts (techniques)

Information extraction

AI concepts extraction (OCR)

Speech concepts

Speech concepts
Speech recognition (speech-to-text)
Speech synthesis (text-to-speech)

Computer vision

Computer vision
Image processing
Vision transformers & Multimodal models

Get started with AI applications and agents on Azure Foundry

Azure

Understand Azure

AI in Microsoft Foundry

Microsoft Foundry for AI
genAI models in Foundry
Agents in Foundry

Microsoft Foundry by area

Text analysis in Foundry
Speech in Foundry
Computer vision in Foundry
Information extraction with AI (Azure Content Understanding)
Managed Knowledge Layer (Microsoft Foundry IQ)

Labs

Official labs (in python)

status: certified

This notes are my watered-down, personal version of The Scrum Guide 2020 and the following Udemy Course: “Preparation For Professional Scrum Master Level 1 (PSM1)” by Vladimir Raykov.

If you want to get ready for the certification exam, I fully recommend buying and watching his course, several times, in Udemy.

Scrum Guide 2020

Scrum Guide 2020 Notes
Scrum Glossary

“Preparation For Professional Scrum Master Level 1 (PSM1)” by Vladimir Raykov

Scrum Introduction
The Scrum Team
Scrum Events
Scrum Artifacts
Scrum Practices and Charts
A few words before the Exam
Recap of key concepts
Possible exam questions