Course Details | Cloudthat

Course Overview

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.

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

Upcoming Batches

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Key Features

  • Our training modules have 50% -60% hands-on lab sessions to encourage Thinking-Based Learning (TBL)
  • Interactive-rich virtual and face-to-face classroom teaching to inculcate Problem-Based Learning (PBL)
  • Microsoft certified instructor-led training and mentoring sessions to develop Competency-Based Learning (CBL)
  • Well-structured use-cases to simulate challenges encountered in a Real-World environment
  • Integrated teaching assistance and support through experts designed Learning Management System (LMS) and ExamReady platform
  • Being a Microsoft Learning Partner provides us with the edge over competition

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 service

Course Outline Download Course Outline

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

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

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

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

Certification

  • By earning AI-900 certification, you will prove competency in AI, Machine Learning, and NLP fundamentals on Azure platform.
  • Azure Fundamentals can be used to prepare for other Azure role-based or specialty certifications, but it is not a prerequisite for any of them.
  • On successful completion of AI-900 Microsoft Azure Fundamentals training aspirants receive a Course Completion Certificate from us
  • By successfully clearing the AI-900 Microsoft Azure Fundamentals exams, aspirants earn Microsoft Certification

Our Top Trainers

Anjali Srivastava

Anjali serves as a Research Associate for IoT (including AI/ML) and Azure cloud at CloudThat technologies. She is an experienced Solutions Engineer & Developer, corporate trainer working on Microsoft Azure around multi-tier distributed application design planning and deployment for several etc.

Anandteerth Mathad

Anand serves as a Subject Matter Expert - Cloud for IoT (including AI/ML) and Azure cloud at CloudThat technologies. He has experience in Machine Learning, Python, Information Theory, Probability and Digital Communication. Skilled with Pandas, scikit-learn, scipy, seaborn, python for etc.

Sharat Kanthi

Sharat serves as a solutions architect for Azure and IoT (Big data, AI/ML) at CloudThat Technologies, He is an experienced Solutions Engineer & Developer, corporate trainer working on Microsoft Azure around multi-tier distributed application design planning and deployment for etc.

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mayankbharawa

CloudThat offers great mix of instructor-led and self-learning content.

Frequently Asked Questions

The Microsoft AI-900 online training in Bangalore from CloudThat offers candidates proper training and relevant study material to clear the new role-based AI-900 certification exam. This certification is for candidates who are preparing for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate. By taking up this Azure AI Fundamentals certification exam, candidates will be able to demonstrate their knowledge of common ML and AI workloads and how to implement them on Azure.

CloudThat’s Azure training course for the preparation of AI-900 certification exam can be taken up by:
• Candidates with both technical and non-technical backgrounds.

Candidates will get 90 minutes to complete the Microsoft Azure AI Fundamentals exam.

Candidates need to answer between 40-60 questions. However, the number of questions may change as and when changes in technology and job roles occur.

The cost of the Microsoft Azure AI Fundamentals certification exam is ₹3696 in Bangalore and other Indian cities.
The exam cost is mostly priced according to the currency values in specific regions and countries. However, the exam prices are subject to change and may also vary depending on the additional taxes that may apply in some countries and regions.

Candidates need to score 700 (on a scale of 1-1000) approx. to pass the Microsoft AI-900 exam.

Candidates must wait for 24 hours to retake the AI-900 exam on failing in his/her first attempt. Also, candidates can log in to their certification dashboard to reschedule the exam.
The candidate must wait for at least 14 days to retake the exam for the third time on failing in their second attempt. The waiting period is the same while retaking the exam for the fourth and fifth times.
In a year, a candidate is allowed a maximum of 5 retakes. (One year is calculated from the day of the fifth unsuccessful exam attempt.)

After completing CloudThat’s highly interactive AI-900 exam training in Bangalore or other cities, you will be able to:
• Describe AI 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.

Yes. Microsoft accredits our training courses. We are a Microsoft Gold Partner and the winner of the Microsoft Learning Partner 2020 of the Year Finalist award.

From time to time, Microsoft keeps on revising and updating the Azure certification exam syllabus according to changing technology trends and industry standards. At CloudThat, we have a dedicated team of highly experienced and Microsoft certified Azure subject matter experts who keep a close eye on the exam syllabus and updated the training course curriculum accordingly to keep it updated and relevant.

To prepare for the AI-900 certification and pass the exam successfully, candidates need to enroll in CloudThat’s AI-900 certification training course in Bangalore. Our subject matter experts and certified Azure trainers offer training through online or instructor-led classes and provide relevant study material necessary to support your exam preparation. At CloudThat, you can strengthen your practical Azure skills through hands-on lab sessions. Besides our training and assistance, candidates can also:
• Join online forum discussions and study groups to enrich your knowledge.
• Have a detailed understanding of the exam structure.
• Study Microsoft documentation along with relevant whitepapers and eBooks.

CloudThat, a Microsoft Gold Partner and the winner of Microsoft Learning Partner 2020 of the Year Finalist award, is undoubtedly the best Azure training provider in Bangalore and other cities in India. CloudThat has trained over 350K+ IT professionals from fortune 500 companies in Cloud since 2012. From personalized mentoring to self-paced learning modules, we work towards providing a growth-oriented learning experience to nurture their future.
• CloudThat’s training modules are equipped with 50%-60% hands-on lab 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.

The different types of AI-900 exam questions that may appear in the real exam include:
• Multiple-choice questions
• Yes-No questions
• Drag and drop
• Reordering
• Case studies
• Short answers

Once the candidate gets Azure certified, the certificate remains valid for two years.