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Certification BootCamp for Exam AI-900: Microsoft Azure AI Fundamentals

AI-900

Duration: 1 Day

Description

This Microsoft AI Fundamentals Certification BootCamp from CloudThat has been designed to help candidates pass the Microsoft AI-900 exam. Along with Azure AI Fundamentals exam preparation, this training on Azure AI Fundamentals can be used to prepare for other Azure role-based certifications as well, like Azure Data Scientist Associate or Azure AI Engineer Associate, but it’s not a prerequisite for any of them.

The Azure Fundamentals training and certification course introduces fundamentals concepts related to artificial intelligence (AI), machine learning (ML) and Microsoft Azure services that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Microsoft Azure services to support them.

Course Outline

  • Module 1: Describe Artificial Intelligence Workloads and Considerations
  • Module 2: Describe Fundamental Principles
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Objectives

After completing this course, students will be able to:

  • Describe Artificial Intelligence workloads and considerations
  • Describe fundamental principles of machine learning on Azure
  • Describe features of computer vision workloads on Azure
  • Describe features of Natural Language Processing (NLP) workloads on Azure
  • Describe features of conversational AI workloads on Azure

Who Should Attend

  • Candidates with both technical and non-technical backgrounds

Prerequisites

  • Should have general programming knowledge or experience.
  • Should have a foundational knowledge of Machine Learning (ML) and Artificial Intelligence (AI) concepts.
  • Should have knowledge of Microsoft Azure services.

Course Outline

Module 1: Describe Artificial Intelligence Workloads and Considerations

  • Identify Features of Common AI Workloads
    • Identify Prediction / Forecasting Workloads
    • Identify Features of Anomaly Detection Workloads
    • Identify Computer Vision Workloads
    • Identify Natural Language Processing or Knowledge Mining Workloads
    • Identify Conversational AI Workloads
  • Identify Guiding Principles for Responsible AI
    • Describe Considerations for Fairness in an AI Solution
    • Describe Considerations for Reliability and Safety in an AI Solution
    • Describe Considerations for Privacy and Security in an AI Solution
    • Describe Considerations for Inclusiveness in an AI Solution
    • Describe Considerations for Transparency in an AI Solution
    • Describe Considerations for Accountability in an AI Solution

Module 2: Describe Fundamental Principles of Machine Learning on Azure

  • Identify common Machine Learning types
    • identify regression Machine Learning scenarios
    • Identify Classification Machine Learning scenarios
    • Identify Clustering Machine Learning scenarios
  • Describe core Machine Learning concepts
    • Identify Features and Labels in a Dataset for Machine Learning
    • Describe How Training and Validation Datasets are used in Machine Learning
    • Describe How Machine Learning Algorithms are used for Model Training
    • Select and Interpret Model Evaluation Metrics for Classification and Regression
  • Identify Core Tasks in Creating a Machine Learning Solution
    • Describe Common Features of Data Ingestion and Preparation
    • Describe Common Features of Feature Selection and Engineering
    • Describe Common Features of Model Training and Evaluation
    • Describe Common Features of Model Deployment and Management
  • Describe Capabilities of no-code Machine Learning with Azure Machine Learning
    • Automated Machine Learning tool
    • Azure Machine Learning designer

Module 3: Describe Features of Computer Vision Workloads on Azure

  • Identify Common Types of Computer Vision Solution
    • Identify Features of Image Classification Solutions
    • Identify Features of Object Detection Solutions
    • Identify Features of Semantic Segmentation Solutions
    • Identify Features of Optical Character Recognition Solutions
    • Identify Features of Facial Detection, Recognition, and Analysis Solutions
  • Identify Azure tools and Services for Computer Vision Tasks
    • Identify Capabilities of the Computer Vision Service
    • Identify Capabilities of the Custom Vision Service
    • Identify Capabilities of the Face Service
    • Identify Capabilities of the Form Recognizer Service
  • Describe features of Natural Language Processing (NLP) Workloads on Azure
    • Identify Features of Common NLP Workload Scenarios
    • Identify Features and Uses for Key Phrase Extraction
    • Identify Features and Uses for Entity Recognition
    • Identify Features and Uses for Sentiment Analysis
    • Identify Features and Uses for Language Modeling
    • Identify Features and Uses for Speech Recognition and Synthesis
    • Identify Features and Uses for Translation
  • Identify Azure tools and Services for NLP Workloads
    • Identify Capabilities of the Text Analytics Service
    • Identify Capabilities of the Language Understanding Intelligence Service (LUIS)
    • Identify Capabilities of the Speech Service
    • Identify Capabilities of the Text Translator Service

Module 4: Describe Features of Conversational AI Workloads on Azure

  • Identify Common use Cases for Conversational AI
    • Identify Features and Uses for Webchat Bots
    • Identify Features and Uses for Telephone Voice Menus
    • Identify Features and Uses for Personal Digital Assistants
  • Identify Azure Services for conversational AI
    • Identify Capabilities of the QnA Maker Service
    • Identify Capabilities of the Bot Framework

About the Trainer

A Certified Microsoft Azure Trainer

Why Choose CloudThat?

Why Choose CloudThat?

At CloudThat, we offer world-class teaching experienced catered to the diverse needs of technology professionals. From personalized mentoring to self-paced learning modules, we work towards providing a growth-oriented learning experience to nurture their future.

CloudThat has trained over 200K IT professionals from fortune 500 companies in cloud since 2012. Empowering tech professionals in unleashing the potential of Cloud computing technologies with best-in-class training, CloudThat proved its excellence and is a proud winner of Microsoft 2020 Global Partner of the Year Finalist award.

Considering the recent technological developments, Cloud certifications are in huge demand. That is why we at CloudThat is offering an in-depth training and bootcamp course to help IT professionals become a certified Azure expert.

  • A Microsoft worldwide Partner and Microsoft Gold Partner
  • Delivered highest number of Azure advance training in India in the last 4 months.
  • CloudThat CEO is the MCT Regional Lead for India.
  • Robust consulting division complements and feeds practical knowledge to trainers.
  • Trained 2,00,000+ professionals worldwide in instructor-led classroom and in virtual instructor-led classroom.
  • Our training modules are equipped with 50%-60% hands-on labs sessions.
  • Highly interactive virtual and classroom teaching.
  • Qualified instructor-led Training and mentoring sessions.
  • Practice lab and projects aligned to Azure learning modules.
  • Integrated teaching assistance and support.

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