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Item number: 118086428

AI-900 Microsoft Azure AI Fundamentals Training

Item number: 118086428

AI-900 Microsoft Azure AI Fundamentals Training

299,00 361,79 Incl. tax

Take the AI-900 Microsoft Azure AI Fundamentals E-LearningTraining now . Includes Trial Exam, Online Tutor and Certificate of Participation.

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AI-900 Microsoft Azure AI Fundamentals Training - OEM Certkit

  • Language: English
  • Audience: The AI-900 Microsoft Azure AI Fundamentals Training is designed for anyone interested in understanding and exploring artificial intelligence (AI) and its application in Microsoft Azure. The training is suitable for IT professionals, developers, data scientists and business professionals who want to understand how AI technologies work and how to deploy them for their projects and organizations.
  • Required Knowledge Level:The AI-900 Azure AI Fundamentals Training does not require any specific prior knowledge or experience. It is an entry-level training designed to reach a broad audience, including beginners with no prior knowledge of artificial intelligence (AI) or Microsoft Azure. It is helpful to have a basic understanding of cloud computing concepts and a general interest in AI technologies, but this is not a requirement. The course begins with the basics of AI and Azure AI services.
  • Course duration: 12:42 hours(depending on personal speed).
  • Course load: Variable due to practical assignments.
  • Online access: 24/7, 365 days after activation
  • Learning methods: Instructional video, Demonstration video, Knowledge Base
  • Contact with instructor by email and chat
  • Award Winning E-learning
  • Complete training for the official Exam
  • User-friendly environment
  • Certificate of Participation included

AI-900 Microsoft Azure AI Fundamentals Training

The AI-900 Azure AI Fundamentals training is offered as a special certification package that provides one-year access to a comprehensive E-Learning platform. With this package, you can easily prepare for the exam. You get to train under the guidance of certified instructors in a secure learning portal (LMS). A 24/7 Online Mentor is at your disposal to support you. In addition, challenging tests are available and tips & tricks are shared to increase your chances of passing.

The certification package also always includes access to the official mock exam so you can properly prepare for the real exam. After completing the training, you will receive a certificate of attendance as proof of your participation in the training. As an option, there is also the possibility to get access to Livelabs, at an additional cost.

All this makes the certification package a comprehensive and complete learning experience to develop your knowledge and skills in Azure AI Fundamentals and prepare you for passing the exam.

Course content

AI-900: Azure AI Fundamentals: : Artificial Intelligence & Machine Learning

Course: 1 Hour, 44 Minutes

  • Course Overview
  • Artificial Intelligence
  • Machine Learning
  • Datasets and Data Manipulation
  • Labeled vs. Unlabeled Data
  • Features in Data
  • Machine Learning Using Regression
  • Machine Learning Using Classification
  • Machine Learning Using Clustering
  • Supervised Machine Learning
  • Unsupervised Machine Learning
  • Reliability and Safety in AI Algorithms and Use
  • Transparency in AI Algorithms and Use
  • Privacy and Security in Responsible AI
  • Inclusiveness in AI Algorithms and Use
  • Fairness in AI Algorithms and Use
  • Accountability in AI Algorithms and Use
  • Course Summary

AI-900: Azure AI Fundamentals: Machine Learning with Azure Services

Course: 1 Hour, 52 Minutes

  • Course Overview
  • Machine Learning Services Provided by Azure
  • Azure Machine Learning Studio
  • Signing up for an Azure ML Studio Account
  • Inspecting the Azure Machine Learning Features
  • Features of the Computer Vision Service
  • Features of the Custom Vision Service
  • Features of the Face Service
  • Features of the Form Recognizer Service
  • Identifying Azure ML Workloads
  • Compute Resources
  • Creating and Managing Datasets in Azure ML Studio
  • Managing Pipelines in Azure ML Studio
  • Algorithms Used for Model Training
  • Azure ML Services Experiments
  • Interpreting Evaluation Metrics for Classification
  • Interpreting Model Evaluation Metrics for Regression
  • Course Summary

AI-900: Azure AI Fundamentals: Using Azure Machine Learning Studio

Course: 1 Hour, 31 Minutes

  • Course Overview
  • Creating an Azure ML Workspace
  • Creating a Compute Resource Using Azure ML Studio
  • Creating and Using a Dataset in Azure ML Studio
  • Ingesting Data from Azure Storage
  • Ingesting Data from Azure Blob Storage
  • Labeling Data in Azure ML Studio
  • Running and Testing Scripts Using Notebook
  • Creating an Automated ML Model
  • Running an Automated Experiment
  • Determining the Best Model after an Experiment
  • Deploying a Model as a Predictive Service
  • Testing the Predictive Service
  • Managing Compute Resources and Datastores
  • Managing Datasets and Experiments in Azure ML Studio
  • Managing Pipelines and Models in Azure ML Studio
  • Managing Endpoints in Azure ML Studio
  • Course Summary

AI-900: Azure AI Fundamentals: Authoring with the Azure ML Studio Designer

Course: 1 Hour, 11 Minutes

  • Course Overview
  • Creating and Using a Dataset in Azure ML Designer
  • Selecting Dataset Features in Azure ML Designer
  • Adding Data Transformations in Azure ML Designer
  • Normalizing and Cleaning Data in Azure ML Designer
  • Viewing Normalized & Transformed Data in ML Designer
  • Splitting a Dataset for Testing and Evaluation
  • Using a Regression Model in Azure ML Designer
  • Using a Classification Model in Azure ML Designer
  • Using a Clustering Model in Azure ML Designer
  • Course Summary

AI-900: Azure AI Fundamentals: Evaluating Models with the ML Designer

Course: 2 Hours, 3 Minutes

  • Course Overview
  • Adding and Using Scoring on Models
  • Model Evaluation Types
  • Using Evaluators on the Model
  • Running a Pipeline
  • Analyzing the Evaluation Results Output and Logs
  • Exploring the Evaluation Results Details
  • Visualizing the Data in the Scoring Model
  • Investigating Results from a Regression Model
  • Interpreting Results from a Classification Model
  • Investigating Results from a Clustering Model
  • Creating an Inference Pipeline
  • Adding a Web Service Output
  • Deploying a Predictive Service
  • Testing a Predictive Service
  • Course Summary

AI-900: Azure AI Fundamentals: Natural Language Processing

Course: 1 Hour, 6 Minutes

  • Course Overview
  • Natural Language Processing
  • Uses of Natural Language Processing
  • Azure NLP Services
  • Intents and Entities
  • Training a Language Model
  • Using the Text Analytics Service
  • Azure Translator Service
  • Using the Translator Service to Translate Text
  • Using the Translator Service to Translate Speech
  • Course Summary

AI-900: Azure AI Fundamentals: Computer Vision

Course: 1 Hour, 23 Minutes

  • Course Overview
  • Computer Vision
  • Azure Computer Vision Services
  • Computer Vision Models
  • Classify and Detect Objects
  • Analyzing Images Using Computer Vision Service
  • Describing and Tagging Images
  • Training a Classifier Model
  • Evaluating a Classifier Model
  • Testing and Using a Model for Prediction
  • Training an Object Detection Model
  • Evaluating an Object Detection Model
  • Using the Model as a Service
  • Semantic Segmentation
  • Course Summary

AI-900: Azure AI Fundamentals: Face & Optical Character Recognition

Course: 1 Hour, 55 Minutes

  • Course Overview
  • Face Detection
  • Using Computer Vision for Face and Age Detection
  • Using Video Indexer to Identify Faces in Videos
  • Using the Face Service to Detect and Analyze Faces
  • Optical Character Recognition API
  • Using Computer Vision to Read Text
  • Using Computer Vision to Read Text from Photographs
  • Reading Text from Digitized Documents
  • Form Recognizer Service
  • Read API
  • Using the Pre-built Receipt Model
  • Using a Custom Form Recognizer Model1
  • Identifying Specific Fields and Types on a Receipt
  • Processing Tables on Forms
  • Course Summary

What is the AI-900 Microsoft Azure AI Fundamentals Training?

The AI-900 Azure AI Fundamentals training is a course focused on providing an introductory understanding of Artificial Intelligence (AI) and Machine Learning (ML) capabilities within the Azure cloud. The training covers topics such as AI-related workloads, Machine Learning techniques, data preparation, AI services in Azure, and other related topics. The goal of this training is to help participants understand how to use Azure to build AI-based solutions and successfully pass the AI-900 exam.

10 benefits of AI-900 Microsoft Azure AI Fundamentals Training

  1. Fundamental Knowledge: The training provides a basic understanding of AI and Machine Learning, familiarizing participants with the concepts and terminology.
  2. Azure AI Services: The training introduces the various AI services available in Azure, including Cognitive Services, Azure Machine Learning and Azure Bot Service.
  3. Application areas: The training explores the various application areas of AI, such as image and speech recognition, natural language processing, predictive analytics and chatbots.
  4. Architecture and workloads: The training covers the architecture of AI solutions in Azure and helps in understanding the different AI workloads and their implementation.
  5. Data preparation: The training covers the importance of preparing and processing data for training and implementing AI models.
  6. Machine Learning Concepts: The training explains the basics of Machine Learning, including algorithms, datasets, training and evaluation of models.
  7. Using Azure tools: The training shows how Azure tools such as Azure Notebooks, Azure Databricks and Azure ML Studio can be used to develop and deploy AI solutions.
  8. Ethics and Trust: The training discusses ethics and best practices regarding the use of AI and the protection of privacy and data.
  9. Integration and scalability: The training emphasizes how AI solutions can be integrated into existing systems and how they can scale to meet the needs of organizations.
  10. Preparation for the AI-900 exam: The training is designed to prepare participants to pass the AI-900 exam, which will demonstrate their knowledge and understanding of Azure AI Fundamentals.

Why is AI-900 Microsoft Azure AI Fundamentals Training important?

The AI-900 Microsoft Azure AI Fundamentals training is important because it enables professionals to gain a basic understanding of AI and its application in the Azure platform. It provides insight into the capabilities and applications of AI and lays a foundation for further specialization.

Earning the AI-900 certification enhances career opportunities and enables professionals to add value to organizations seeking to implement AI technologies. It also promotes business growth by improving processes and identifying new opportunities using AI.

Why OEM Office Elearning Menu?

OEM Office Elearning Menu has years of experience in providing online courses and training. From Excel, Word and Outlook to high professional ICT training for Cisco, AWS, CompTIA and more. 

OEM is an official Microsoft Partner, CertiPort Partner and EC-Council Partner. With over 1000 courses from more than 200 brands, our offer is suitable for every PC user. Whether you are a first time PC user starting up Word for the first time, or an ICT professional wanting to know more about Data Security; OEM has the right course or training for you. Missing a training? Let us know and we will gladly look at the options together.

Each completed course provides you with an official certificate of participation. This is personal and specifically addressed to the student. Every Incompany training course automatically delivers a certificate of participation. For each E-learning course you need to have completed at least 70% of the practical assignments to receive a certificate of participation.

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Choose from 1000+ training courses from 200+ brands for your personal and business development. 

An Excel course, Word course or even a full Office course always comes in handy. We deal with Microsoft programs on a daily basis and it will save you a lot of time to master them properly.

We also have training courses for ICT professionals at OEM Office Elearning Menu. For example, you will learn to deal with databases, servers, learn programming or even become a certified ethical hacker. Learn everything online through E-learning, through course books, walk-in trainings or through Incompany trainings within the company you work for.

Language English
Qualifications of the Instructor Certified
Course Format and Length Teaching videos with subtitles, interactive elements and assignments and tests
MeasureUp Examination simulation Included
Online Virtuele labs Receive 12 months of access to virtual labs corresponding to traditional course configuration. Active for 365 days after activation, availability varies by Training
Tips & Tricks Included
Exam Quiz Included
Full training for the official Exam Yes
Lesson duration 12:42 Hours
Progress monitoring Yes
Access to Material 365 days
Technical Requirements Computer or mobile device, Stable internet connections Web browsersuch as Chrome, Firefox, Safari or Edge.
Support or Assistance Helpdesk and online knowledge base 24/7
Certification Certificate of participation in PDF format
Price and costs Course price at no extra cost
Cancellation policy and money-back guarantee We assess this on a case-by-case basis
Award Winning E-learning Yes
Tip! Provide a quiet learning environment, time and motivation, audio equipment such as headphones or speakers for audio, account information such as login details to access the e-learning platform.

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