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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:

  1. Describe Artificial Intelligence workloads and considerations
  2. Describe fundamental principles of machine learning on Azure
  3. Describe features of computer vision workloads on Azure
  4. Describe features of Natural Language Processing (NLP) workloads on Azure
  5. 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.

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    Testimonials

    She is having In-depth Knowledge on the subject and excellent presentation skill towards the delivery of the training.

    Manjunath N

    A very systematic and detailed training program, covered many topics in a short span in time. Personally enjoyed the training a lot. Great Instructor.

    Bhaskar

    Mamta is the best trainer I came across. Her excellent teaching skills and courteous personality has helped me tremendously. It is comforting to know that whenever I have a question you answer right away. I have learned so much from you and I look forward to learning more. Thank you for being a remarkable teacher and I am very grateful.

    Naga Neelam

    Mamta was precise and detail-oriented in the training approach. She was able to address many of the queries which were relevant to different practical scenarios. Appreciate all the effort and knowledge provided by the trainer.

    Aananth Gopalan

    The trainer was very patient to explain basic concepts in an understandable manner to a non-developer. Has tons of experience and patience.

    Giridharan Ramaswamy

    Fantastic Trainer, very friendly and encouraging. All of the exercises were on a scale of good to excellent. I thoroughly enjoyed your class. The course materials are excellent. Her professional attitude is much appreciated. I have been very pleased with her efforts. Mamta's enthusiasm and passion are exemplary. Some valuable experiences and learning – thank you

    Naveen Kumar

    It was very interesting and intensive training. Shivam is a very qualified and experienced trainer. Shivam, thank you for your course.

    Ruslan Abdrakmanov

    He is friendly and very knowledgeable in the subject.

    Ilias Shaik

    Having Proficient Knowledge in Cloud Technologies, Great to have him. The Best Trainer in my life so far.

    Swamy Vallamalla

    Yes, It was excellent training by the Trainer. He is always ready to clear the doubts at any time. Overall Perfect.

    Arunkumar Manickavasagam