Overview of Azure AI Fundamentals Course

Oct 16, 2024

Azure AI Fundamentals (AI-900) Course Overview

Introduction

  • Andrew Brown presents the Azure AI Fundamentals (AI-900) certification course.
  • The course includes labs, lectures, and a free practice exam.
  • Emphasis on adding certification to resumes and LinkedIn profiles for job opportunities.

Course Structure

  • Suggested paths for certification:
    • AI Engineer
    • Data Scientist
  • Recommended to have foundational knowledge through AZ-900 (Azure Fundamentals).
  • DP-900 (Data Fundamentals) is beneficial but not necessary.

Exam Preparation

  • Study Time:
    • New to ML/Azure: 15-30 hours
    • Intermediate: 8-10 hours
    • Experienced: 5 hours or less
  • Recommended study approach: 50% lectures/labs, 50% practice exams.
  • Use hands-on labs with Azure for better understanding.

Exam Format

  • Scoring: 700 out of 1000 (70% passing).
  • Question types: Multiple choice, drag and drop, and hot area.
  • Exam duration: 60 minutes with potential 90 minutes for accommodations.

Domains of Knowledge

  • Five domains covered in the exam:
    • Describe AI workloads (15-20%)
    • Fundamentals of ML on Azure (20-25%)
    • Features of computer vision workloads (15-20%)
    • Features of NLP workloads (15-20%)
    • Features of generative AI workloads (15-20%)

Key Concepts

  • AI Definition: Machines mimicking human behavior.
  • ML vs. Deep Learning:
    • ML improves tasks without explicit programming.
    • Deep Learning uses artificial neural networks.
  • Neural Networks & Backpropagation: Learning and adjusting weights based on errors.

AI Key Elements

  • Machine Learning
  • Anomaly Detection
  • Computer Vision
  • Natural Language Processing (NLP)

Azure Cognitive Services

  • AI services for building intelligent applications.
  • Includes Decision, Language, Speech, and Vision services.

Responsible AI Principles

  • Fairness, Reliability, Privacy, Inclusiveness, Transparency, Accountability.

Study Recommendations

  • Recommended to engage with hands-on labs.
  • Use Azure Machine Learning Studio for practical experience.

Conclusion

  • The course aims to equip learners with foundational knowledge for the Azure AI fundamentals exam and provides resources to prepare effectively.