AI-900T00-A: Microsoft Azure AI Fundamentals

Kestus: 8 akadeemilist tundi

Vana-Lõuna 39/1, Tallinn

The main purpose of this one-day course is to introduce to students 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.

The course is designed as a blended learning experience that combines instructor-led training with online materials on the Microsoft Learn platform (https://azure.com/learn). The hands-on exercises in the course are based on Learn modules, and students are encouraged to use the content on Learn as reference materials to reinforce what they learn in the class and to explore topics in more depth.

Target audience:

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 a knowledge of fundamental programming principles will be helpful.

 

Job role: AI Engineer, Data Scientist, Developer, Solution Architect

Preparation for exam: AI-900

Features: none

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

Prerequisites to the course (recommended):

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.

 

 

Training Principles:

The training is held in Estonian!

Each learning module is supported by practical exercises with hands-on laboratories.

The prerequisite for issuing the certificate is full participation in training.

Length8 academic hours

Access to the standalone exercise environment Microsoft Labs Online (MLO) for an additional fee.

Choose the Microsoft exam that suits you and buy it through IT Training 10% cheaper.

Koolituse läbiviimise põhimõtted:

Koolitus toimub eesti keeles!

Koolituse osad on toetatud praktiliste harjutustega õpilaborites.

Tunnistuse väljastamise eelduseks on koolitusel osalemine terves mahus.

Maht: 8 akadeemilist tundi

Lisatasu eest ligipääs iseseisvale harjutuskeskkonnale Microsoft Labs Online (MLO).

Vali endale sobiv Microsofti eksam ja osta see läbi IT Koolituse 10% soodsamalt.

 

Continuing Education Curriculum Group: 0688 Information and Communication Technology Interdisciplinary curriculum group

 

The training topics and description:

Module 1: Introduction to AI

In this module, you'll learn about common uses of artificial intelligence (AI), and the different types of workload associated with AI. You'll then explore considerations and principles for responsible AI development.

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.

Module 3: Computer Vision

Computer vision is a the 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.

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.

Module 5: Conversational AI

Conversational AI enables users to engage in a dialog 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.

More detailed information about the training/ Täpsemat infot koolituse kohta saad:

https://docs.microsoft.com/en-us/learn/certifications/courses/ai-900t00

The training price also includes:

  • study materials;
  • a trainer's consultation on the topics learned, by e-mail after the training;
  • certificate.

As an added value, we offer:

  • free parking;
  • lunch;
  • hot drinks with cookies;
  • fresh fruits.

You can participate in the training also with the Unemployment Insurance Fund training card.

See you at the training!

KOOLITAJA

Henn Sarv

Koolituskogemus ja valdkonnad
Henn koolitab IT Koolituses juba üle 25 aasta. Koolituskogemus oli tal ka varem – jagas paar aastat teadmisi Novelli administraatoritele. IT Koolituses on ta keskendunud peamiselt (aga mitte ainult) Microsofti toodetele, seda nii tavakasutajatele (Excelist Visioni) kuni süsteemiadministraatorite ja programmeerijateni. Peamiselt siiski kõik, mis puudutab andmebaase (SQL) ja ärianalüüsi (BI, Excel).
Tugevused koolitajana
Hoolimata sellest, et Henn on 25+ aastat klassi ees seisnud, ei ole ta kaotanud sidet igapäevase eluga: vahepeal on ta loonud arendusettevõtte ja jõudnud selle maha müüa; on konsulteerinud ja juurutanud süsteeme mitmes ettevõttes, peab talu ja korraldab sulgpallivõistlusi. Pidev side tegeliku eluga on see, mis aitab Hennul olla ekspert ja usaldusväärne allikas ka teadmiste jagamisel. Hennu enda õppimisvõime ja üle 60 sooritatud erialaeksami võimaldab õppijaid suurepäraselt mõista ning on tugevuseks ka koolitajana.
Sertifikaadid ja tunnistused
MCP – Microsoft certified Proffessional
MCT – Microsoft Certified Trainer
MCSA – Microsoft Certified Systems Administrator
MCSE – Microsoft Ceritfied Systems Engineer
MCSD – Microsoft Certified Solution Developer
MCDBA – Microsoft Certified Database Administrator
MSFP – Microsoft Solution Framework Practicioner
MCTS: SQL 2005, VS2005, MSPRoj2007
MCITP: SQL 2005 Dev/Adm
MCPD: Web Dev
CLP – Certified Lotus Specialist
CNA – Certified Novell Administrator
OCA – Oracle Certified Associated
CTT – Certified Technical Trainer
ET ICP, MICP – ExecuTrain Instructor Certified Programm, Master of ICP
AJAKAVA

09:15 - 09:30

09:15 - 09:30

Gathering

09:30 - 11:00

09:30 - 11:00

I module

11:00 - 11:15

11:00 - 11:15

Coffee break

11:15 - 12:45

11:15 - 12:45

II module

12:45 - 13:30

12:45 - 13:30

Lunch

13:30 - 15:00

13:30 - 15:00

III module

15:00 - 15:15

15:00 - 15:15

Coffee break

15:15 - 16:45

15:15 - 16:45

IV module

REGISTREERIMINE
14.01.2022 AI-900T00-A: Microsoft Azure AI Fundamentals
Hind:
590 €
708 € km-ga
Osalejate arv:
20.05.2022 AI-900T00-A: Microsoft Azure AI Fundamentals
Hind:
590 €
708 € km-ga
Osalejate arv:

Lisainfo:
|
618 1727 | [email protected]

Lisainfo
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IT Koolitusel on õigus koolitusgrupi mitte täitumisel koolituse toimumine edasi lükata või koolitus ära jätta. Koolitusele registreerunuid teavitatakse kursuse edasi lükkumisest või ära jätmisest telefoni või e-posti teel. Koolituse ära jäämisel korraldajatest tulenevatel põhjustel makstakse õppetasu tagasi. .

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Täpsema info saamiseks võtke meiega ühendust telefonil 618 1727 või [email protected].

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