Description

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

This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure 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 Azure services to support them.

Why should you get AI-900 certification?

• Acquire foundational knowledge of Machine Learning (ML) and Artificial Intelligence (AI) concepts and related Microsoft Azure services.
• Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate, but it’s not a prerequisite for any of them.
• By earning AI-900 certification, you will show your future or current employer that you can create AI solutions using Azure services.
• This course will help in unleashing the growing market opportunities waiting for Microsoft certified experts in Azure AI Fundamentals.

Why Microsoft Azure is the best certification?

The job market and opportunities for Microsoft Azure certified professionals have multiplied over the last few years. With the increase in demand in Cloud computing domain, Azure certification remains the most popular and widely chosen certification course. Here is why:

According to reports, around 1,000 new customers daily sign up to Azure which means every year over 365,000 new companies adopt Azure.

• Azure is the fastest-growing enterprise Cloud platform leveraged by leading IT companies across the globe.
• Over 57% Fortune 500 companies use Microsoft Azure.
• Thanks to Azure, Microsoft’s commercial Cloud revenue increased at an annual run rate of $6.3 billion.
• In the US, even the government and their partners leverage Microsoft Azure Government to transform their critical workloads to the secure and compliant Cloud environment.
• 21% of respondents said they received a job offer or promotion upon sharing their Microsoft digital badge with a future employer.
• 41% of respondents said they received positive feedback from their professional network after sharing digital badges.

Benefits of IT Certification

• 85% of enterprises committed to integrate Cloud architecture in their organizations.
• Gives you more professional credibility in any job-related interactions.
• By 2021, more than 38% of IT positions will be Cloud related.
• 19% found a new job.
• 65% experienced their first benefit of certification within 3-4 months.
• 67% acknowledged positive impact on confidence, professional image, and reputation.
• Is more effective at reducing skills gaps.
• Helps keep your skills up to date, making you more valuable to your employer.

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.

Course Objectives

After successful completion of this BootCamp candidates 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 the AI-900 BootCamp?

• Candidates with both technical and non-technical backgrounds.

Pre-requisites

Candidates can take up this Azure AI-900 training only if they have:

• General programming knowledge or experience.
• Foundational knowledge of Machine Learning (ML) and Artificial Intelligence (AI) concepts.
• Knowledge of Microsoft Azure services.

Wish to become a Microsoft Certified Expert in Azure AI Fundamentals? Enrol Right Away!

For latest batch dates, fees, location, technical queries and general inquiries, contact our sales team at: +91 8880002200 or email at sales@cloudthat.in

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

Other Details

Questions?

For latest batch dates, fees, location and general inquiries, contact our sales team at: +91 8880002200 or email at sales@cloudthat.in