Microsoft Azure AI Fundamentals

Includes: Instructor Led Lessons with case studies.
Delivery Methodology: Live Online (VILT) or Classroom ILT – check schedule
Price: 149 USD 99 USD (33% Special discount, Limited time offer!)
Language: English

Microsoft Azure AI Fundamentals – $99

Price: 149 USD $99 USD (33% Special discount, Limited time offer!) Delivery Methodology: Virtual Instructor Led Training (VILT) Your Advantage: 

  • Pre-Classroom Preparation Content.
  • Lessons: 8 Hrs Training, Flexible Training Schedule.
  • Training Material availed to students for reference.
  • Practical classroom simulations and case studies.
  • Accredited, Approved and Recognized as a training organization.
  • Consistent and high-quality training delivery customized to your specific industry with relevant examples and case studies.
  • Participants receive a course completion certificate.
  • NITA accredited programs.
  • Industry Expert Instructors, Regularly Updated Content.
  • Case studies / Modelling /Simulation/ real-life Problem-solving sessions.

Microsoft Azure AI Fundamentals Request for Info: 



    Unleash the Power of the Cloud – Dive into the World of Artificial Intelligence with Microsoft Azure AI Fundamentals!

    Course Overview

    The Microsoft Azure AI Fundamentals course is designed to provide students with a foundational understanding of artificial intelligence and machine learning technologies, and how they can be utilized in the context of Microsoft’s cloud platform. Students will explore the core features of Azure Cognitive Services, including text analytics, computer vision, and natural language processing, and learn how to build and deploy machine learning models using Azure Machine Learning. Through a mix of lectures, hands-on exercises, and practical case studies, students will gain practical skills in data analysis, model development, and deployment, and be well-equipped to pursue further study in artificial intelligence and related fields. With an emphasis on real-world applications and best practices, this course is ideal for students interested in exploring the potential of AI technology and its applications in today’s digital landscape.

    Program Outcomes

    Below are the program outcomes for the course:

    • Ability to understand core AI concepts and related terminologies.
    • Hands-on experience in using Azure Cognitive Services for text analytics, computer vision, and natural language processing.
    • Knowledge of how to build, train, and deploy machine learning models in Azure Machine Learning.
    • Practical understanding of the benefits and limitations of AI technologies, and how to develop responsible AI solutions.
    • Students will gain the skillset to design and implement AI solutions using Azure services, providing organizations with a competitive edge.

    What you will get

    • Pre- Classroom Preparation Content.
    • 8 Hrs of Instructor Led Training lessons.
    • Flexible Training Schedule.
    • Participatory & Interactive methods with practical Case studies
    • Training Certificate issued after course.
    • Consistent and high-quality training delivery customized to your specific industry with relevant examples and case studies.
    • Participants receive a course completion certificate.
    • NITA accredited programs
    • Industry Expert Instructors, Regularly Updated Content.
    • Case studies / Modelling /Simulation/ real-life Problem-solving sessions.

    You will receive a Certificate like this one on completion of the program.

    Why KnowledgeSpace Training and Consulting?

    • Modern Learning Management System: Our cloud-based device-enabled learning platform supports self-paced, mentor guided, and instructor led learning.
    • Strong Partnerships: We have strategic Partnerships with renowned international organizations for unrivalled training platforms and content.
    • Modern Delivery Methodology: Enhanced course delivery techniques comprising of: Assessments, test preps, Labs, Instructor led training, Self-paced online Training and Blended Solutions
    • Practical Courses: Courses and labs complete with Pre-Assessments, Exercises, Flashcards, Quizzes, and Post Assessments. Our Hands-on labs are virtual and live environments where students learn by doing.
    • Customer Centricity: We listen to you. You are at the epicenter of what we do. Therefore, you ultimately determine the services you receive from us. We have maintained a Customer Satisfaction rating of 99%. This is a testament to the quality of courses that we deliver.
    • Certified Training Experts: Our training team consists of Certified industry experts who facilitate your learning experience.


    Syllabus – View Detailed Course information here.

    Module 1: Introduction to AI and Azure

    • What is AI?
    • Use cases for AI
    • Introduction to Azure AI services

    Module 2: Azure Cognitive Services

    • Introduction to Azure Cognitive Services
    • Computer Vision
    • Natural Language Processing
    • Speech Recognition

    Module 3: Azure Machine Learning

    • Introduction to Azure Machine Learning
    • Creating machine learning models
    • Deploying models to Azure
    Module 4: Data Science in Azure
    • Data Science in Azure
    • Azure Databricks
    • Azure Machine Learning Studio

    Module 5: Implementing AI Solutions in Azure

    • Building intelligent solutions with Azure
    • Architecting for AI solutions
    • Tools for building AI solutions

    Module 6: Exam Preparation

    • Review of exam objectives and concepts
    • Practice exam questions and discussion
    • Tips for exam success

    This course can be customized to fit the specific needs of the attendees and the company or industry they operate in.

    Get the detailed Course Datasheet here.

    Below are some of the career paths and potential opportunities after taking the Microsoft Azure AI Fundamentals Course:

    • AI Developer
    • Data Scientist
    • Machine Learning Engineer
    • Natural Language Processing (NLP) Engineer
    • Computer Vision Engineer
    • AI Consultant
    • Business Intelligence Analyst
    • Cloud Solution Architect
    • AI Product Manager
    • AI Ethicist/Researcher.

    It is recommended that learners have some basic awareness of cloud computing concepts and familiarity with Machine Learning (ML) and Artificial Intelligence (AI) terminologies. Additionally, learners should have some experience with the Azure Cloud platform in order to have a better understanding of how Azure services and products are used in AI implementations.

    KnowledgeSpace Training Certificate of Completion issued after successfully taking the course.

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    Bespoke/Custom Training

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