Microsoft Azure AI Fundamentals


Course Duration:

1 day (8 hours)

Delivery Mode:

Virtual Class via Zoom

Course Fee:

Php 4,800.00 | USD 85.00*

This course is designed to equip you with the essential knowledge and practical skills required to confidently sit for the Microsoft Certified: Azure AI Fundamentals examination. Please note that the exam cost is not included in the course fee.

Course Information

This course introduces fundamental concepts related to artificial intelligence (AI) and the services available in Microsoft Azure for creating AI solutions. It aims to build awareness of common AI workloads and the ability to identify Azure services to support them. The course offers a blended learning experience, combining instructor-led training with online materials available on the Microsoft Learn platform (https://azure.com/learn). Hands-on exercises are based on Learn modules, encouraging students to use the content as reference materials to reinforce their learning in class and explore topics further.

The Azure AI Fundamentals course is crafted for those eager to explore AI solutions and the corresponding Microsoft Azure services. No prior Azure experience is necessary, but basic computer and internet literacy is expected. Some concepts require basic math skills like chart interpretation. Hands-on activities involve data manipulation and coding, so familiarity with fundamental programming principles is beneficial.

Module 1: Explore Fundamentals of Artificial Intelligence

  • Overview of AI services offered by Microsoft Azure
  • Azure Cognitive Services: Vision, Speech, Language, and Decision
  • Azure AI platform: Custom AI models, training, and deployment

Module 2: Explore Fundamentals of Machine Learning

  • Basic concepts of machine learning: supervised, unsupervised, and reinforcement learning
  • Machine learning vs. traditional programming
  • Common machine learning algorithms: regression, classification, clustering
  • Building and training machine learning models using Azure ML
  • Deployment and monitoring of ML models in Azure

Module 3: Explore Fundamentals of Computer Vision

  • Introduction to computer vision and its applications
  • Image processing basics: filtering, edge detection, feature extraction
  • Object detection, recognition, and classification
  • Creating Computer Vision solutions in Azure

Module 4: Explore Fundamentals of Natural Language Processing

  • Introduction to Natural Language Processing (NLP)
  • Basics of NLP: tokenization, stemming, lemmatization
  • NLP applications: sentiment analysis, named entity recognition, machine translation
  • Sentiment analysis and key phrase extraction using Azure Text Analytics

* Inclusive of courseware and access to Microsoft Azure Portal with the relevant services

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