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sking-dev/ai900-portfolio

End-to-end portfolio for the Microsoft AI-900 Azure AI Fundamentals certification - exploring machine learning basics, computer vision, natural language processing, and responsible AI concepts. Practical demonstrations of Azure AI services with code examples and learning insights.

AI-900 Portfolio

Overview

An end-to-end portfolio for the Microsoft AI-900 Azure AI Fundamentals certification.

Certification Learning Journey

Documenting my systematic approach to understanding Azure AI technologies, with a focus on practical application and foundational AI principles aligned with the AI-900 exam skills.

Learning Domains

  • AI Fundamentals
  • Machine Learning Concepts and Azure Implementation
  • Generative AI Technologies
  • Natural Language Processing
  • Computer Vision
  • AI-Powered Information Extraction

Technical Approach

  • Hands-on learning with Microsoft Learn and Azure AI services
  • Study notes to highlight key concepts and takeaways
  • Practical code demonstrations
  • Exploration of AI technologies in cloud environments
  • Exam skill domain coverage

Repository Structure

  • Dedicated directories for each AI domain
  • Markdown files documenting each learning module
  • Exam skills mapping
  • Certification preparation insights

Future Learning Goals

  • Deepen understanding of AI technologies
  • Explore advanced machine learning techniques
  • Bridge cloud engineering and AI capabilities

Disclaimer

This repository represents my personal learning journey and is not an official Microsoft training resource.

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