Online Instructor-Led Certification BootCamp
AI-900T00-A: Microsoft Azure AI Fundamentals
1 Day Instructor-led training
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.
In this course you will learn 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
The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don’t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so knowledge of fundamental programming principles will be helpful.
Job role: AI Engineer, Data Scientist, Developer, Solutions Architect
Day 1:
Module 1: Introduction to AI
In this module, you’ll learn about common uses of artificial intelligence (AI), and the different types of the workload associated with AI. You’ll then explore considerations and principles for responsible AI development.
Lessons
- Artificial Intelligence in Azure
- Responsible AI
After completing this module you will be able to:
- Describe Artificial Intelligence workloads and considerations
Module 2: Machine Learning
Machine learning is the foundation for modern AI solutions. In this module, you’ll learn about some fundamental machine learning concepts, and how to use the Azure Machine Learning service to create and publish machine learning models.
Lessons
- Introduction to Machine Learning
- Azure Machine Learning
After completing this module you will be able to:
- Describe fundamental principles of machine learning on Azure
Module 3: Computer Vision
Computer vision is an area of AI that deals with understanding the world visually, through images, video files, and cameras. In this module, you’ll explore multiple computer vision techniques and services.
Lessons
- Computer Vision Concepts
- Computer Vision in Azure
After completing this module you will be able to:
- Describe features of computer vision workloads on Azure
Module 4: Natural Language Processing
This module describes scenarios for AI solutions that can process written and spoken language. You’ll learn about Azure services that can be used to build solutions that analyze text, recognize and synthesize speech, translate between languages, and interpret commands.
After completing this module you will be able to:
- Describe features of Natural Language Processing (NLP) workloads on Azure
Module 5: Conversational AI
Conversational AI enables users to engage in a dialogue with an AI agent, or bot, through communication channels such as email, webchat interfaces, social media, and others. This module describes some basic principles for working with bots and gives you an opportunity to create a bot that can respond intelligently to user questions.
Lessons
- Conversational AI Concepts
- Conversational AI in Azure
After completing this module you will be able to:
- Describe features of conversational AI workloads on Azure
Prerequisite certification is not required before taking this course. Successful Azure AI Fundamental students start with some basic awareness of computing and internet concepts, and an interest in using Azure AI services.
Specifically:
- Experience using computers and the internet.
- Interest in use cases for AI applications and machine learning models.
- A willingness to learn through hands-on exploration.
- Operating System – macOS, Windows 7 or above
- Putty software to setup SSH connection
Shivam Sharma – Co-founder, TechScalable
Shivam is an author, cloud architect, speaker, and Co-Founder at TechScalable. Being passionate about ever-evolving technology he works on Azure, GCP, Machine Learning & Blockchain. He is also a Microsoft Certified Trainer.
Shivam architects’ solutions on Cloud as well on-premises using a wide array of platforms/technologies. Having core training and consulting experience, he is involved in delivering Azure and Machine Learning training to corporates like BCG, Microsoft, Intuit, RedHat, VMWare, HCL, GE, Applied Materials, Dell, Infosys, IBM, Schneider, L&T, TCS, Capgemini, Mercedes-Benz, Oracle, HP, Wipro, Colt, Cipla, LinkedIn, Mindtree.
He is certified in below:
· Microsoft Certified: Azure Administrator Associate (AZ-104)
· Microsoft Certified: Azure Solutions Architect Expert
· Microsoft Certified Trainer (MCT)
· Microsoft Certified: Azure Data Scientist Associate
· Microsoft Certified: Azure Developer Associate
· Microsoft Certified: Azure DevOps Engineer Expert
· Microsoft Certified: Azure Security Engineer Associate
· Microsoft Certified: Azure AI Engineer Associate
· Microsoft Certified: Azure Fundamentals
· MCSA: Machine Learning – Certified 2018
· MCSE: Cloud Platform and Infrastructure — Certified 2018
· MCSE: Cloud Platform and Infrastructure — Certified 2016
· Google Cloud Certified – Associate Cloud Engineer
It will be purely Hands-on driven training program.
In case the batch is cancelled, the amount would be credited back to the payee’s account in 5 working days.