Microsoft Azure AI Fundamentals - Scheduled Instructor Led Course.

Registration is now open for this scheduled course. To choose the batch that best suits you, simply visit the “Book a Class” Section and select your preferred “Course Group”.

  • Start date
    25-11-2024 18:00
  • End date
    27-11-2024 21:00
  • Course length
    3x Lesson
  • Class duration
    180 Minutes

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.

Course Syllabus

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.

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.

Career Prospects

Individuals who complete a training on team leadership may be better equipped to take on leadership roles within their workplace, like the ones below:

  • 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.

Prerequisites

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.

 Exam Info & Requirements

After completing the Microsoft Azure AI Fundamentals course, you can earn the Microsoft Certified: Azure AI Fundamentals certification. This certification validates your foundational knowledge of machine learning and AI concepts, along with related Azure services. To earn it, you need to pass the Exam AI-900: Microsoft Azure AI Fundamentals.

  • Exam Length: The exam typically lasts about 60 minutes.
  • Number of Questions: You can expect around 40-60 questions.
  • Question Types: The questions include multiple-choice, drag-and-drop, and case studies.
  • Passing Score: You need a score of 700 out of 1000 to pass.
  • Cost: The exam fee is approximately $99 USD, but this can vary by location.

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

FAQs

  • Accreditation: All our courses are accredited by the respective certification organizations.
  • Completion Certificate: Yes, we provide a Course Completion Certificate for all training courses.
  • Group Discounts: We offer group discounts—reach out to us at hello@kspacetc.com to inquire.
  • Course Clarifications: Our expert trainers are available to help with any course-related questions. Contact us at hello@kspacetc.com.
  • After Enrollment: You’ll receive course access credentials via email within 24 hours of purchase.
  • In-House/Corporate Training: Yes, we deliver in-house and corporate training. Inquire at hello@Kspacetc.com.
  • Customized Training: Our subject matter experts can customize existing courses or create new ones based on your company’s needs.
  • Delivery Methods: Choose from online on-demand, virtual instructor-led, classroom, or onsite/corporate training.
  • More Questions? Feel free to reach out to us at hello@Kspacetc.com for any additional information.

Course Participant Data

Billing details

Consent and Statements

  • Yes please, I would like to receive a newsletter with new content and offers.
Price (USD) $149.00
  • Course name
    Microsoft Azure AI Fundamentals
  • Info
    Duration: 3 Sessions
    Format : Instructor Led Training
    Certificate: Yes
    Language: English
    Time: GMT +3
  • Contact
    KnowledgeSpace Team
    hello@kspacetc.com
    Tel: +254 111 33 22 22

Classes Schedule

  • Every Monday
    18:00 - 21:00
  • Every Tuesday
    18:00 - 21:00
  • Every Wednesday
    18:00 - 21:00

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