AI-900: Microsoft Azure AI Fundamentals

People are viewing this right now
Rs. 32,000.00 Rs. 15,000.00 SAVE 53%
Course Detail

1. Module : Describe Artificial Intelligence workloads and considerations (15–20%)

  1. Identify features of common AI workloads
    • Prediction, classification, regression, clustering.
    • Computer vision, natural language processing, conversational AI.
  2. Identify guiding principles for responsible AI
    • Fairness, reliability and safety.
    • Privacy and security, inclusiveness, transparency, accountability.

2. Module : Describe fundamental principles of machine learning on Azure (30–35%)

  1. Identify common machine learning types
    • Supervised, unsupervised, reinforcement learning.
  2. Describe core machine learning concepts
    • Features, labels, and datasets.
    • Training and evaluation, overfitting and underfitting.
  3. Identify core tasks in creating a machine learning solution
    • Data preparation, model training, evaluation, and deployment.
  4. Describe capabilities of Azure Machine Learning
    • Azure Machine Learning designer and automated ML.
    • Data labeling, pipelines, compute targets, and notebooks.

3. Module : Describe features of computer vision workloads on Azure (15–20%)

  1. Identify common types of computer vision solutions
    • Image classification, object detection, facial detection.
    • Optical character recognition (OCR).
  2. Identify Azure tools and services for computer vision tasks
    • Azure Computer Vision, Custom Vision, Face service, and Form Recognizer.

4. Module : Describe features of Natural Language Processing (NLP) workloads on Azure (15–20%)

  1. Identify features of common NLP workloads
    • Sentiment analysis, language modeling, translation, named entity recognition.
  2. Identify Azure tools and services for NLP workloads
    • Azure Language Service (Text Analytics, Translator, QnA Maker, and LUIS).

5. Module : Describe features of conversational AI workloads on Azure (15–20%)

  1. Identify common use cases for conversational AI
    • Web chat bots, voice assistants, help desk automation.
  2. Identify Azure services for conversational AI
    • Azure Bot Service, Bot Framework SDK, QnA Maker.