Microsoft Certified Azure AI Engineer Associate

- Kun 3 dage

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Get the skills and knowledge to become a Microsoft Azure AI Engineer Associate fast on this accelerated and official 3-day course.

You’ll learn to architect and implement Microsoft AI solutions around language processing, speech, agents, etc. You’ll develop skills needed to effectively use Cognitive Services, Machine Learning and Knowledge Mining in order to manage AI solutions.

Your expert Microsoft Certified Trainer will immerse you in official curriculum and hands-on practical labs. You will learn and retain information faster through our Lecture | Lab | Review technique.

Læs mere...

Accelerating your path to becoming a certified AI Engineer Associate, you’ll cover the following topics:

  • Analyse solution requirements
  • Design solutions
  • Integrate AI models into solutions
  • Deploy and manage solutions

You will be prepared for and sit exam AI-100 at the Firebrand Training Centre during the course. This is covered by your Certification Guarantee: Pass first time or train again for free. Passing this exam will qualify you as a Microsoft Azure AI Engineer Associate.

If you’re looking to develop and certify your skills as a Microsoft Certified Azure AI Engineer Associate this course is ideal for you.

Se Benefits...

Det tager kun et øjeblik at se hvor billigt dit kursus er...

Her er 4 gode grunde til at du skal tage Azure AI Engineer Associate hos Firebrand:

  1. Du bliver Azure AI Engineer Associate uddannet og certificeret hurtigere. Du lærer mere på vores 6 dages accelererede kursus og får mindst 12 timers daglig uddannelse i et distraktionsfrit miljø.
  2. Dit Azure AI Engineer Associate kursus er alt-inklusiv. Du får en gennemskuelig pris, der dækker alle kursusmaterialer, eksamen, overnatning og forplejning. Du skal ikke tænke på andet end at lære.
  3. Bestå Azure AI Engineer Associate den første gang eller kom tilbage, gratis. Din instruktør er ekspert, og træner dig ud fra accelererede metoder, så du lærer hurtigere og har de bedste muligheder for at bestå eksamen første gang. Men hvis du mod forventning ikke består, er du dækket af vores Certificeringsgaranti.
  4. Tag Azure AI Engineer Associate hos en prisvindende uddannelsesleverandør. Vi har vundet adskillige udmærkelser heriblandt Microsofts "Årets Learning Partner" hele fem gange og to Børsen Gazelle priser. Firebrand er din hurtigste vej til uddannelse, og vi har sparet 70,000 deltagere for mere end en million spildte timer siden 2001.

Er du klar til kurset? Tag en GRATIS test som hjælper dig med at bedømme din nuværende viden.

Azure AI Engineer Associate

Knowledge Area: Analyse solution requirements

Identify storage solutions

  • identify the appropriate storage capacity, storage types and storage locations for a solution
  • determine the storage technologies that the solution should use
  • identify the appropriate storage architecture for the solution
  • identify components and technologies required to connect data

Recommend tools, technologies, and processes to meet process flow requirements

  • select the processing architecture for a solution
  • select the appropriate data processing technologies
  • select the appropriate AI models and services
  • identify components and technologies required to connect service endpoints
  • identify automation requirements

Map security requirements to tools, technologies, and processes

  • determine processes and regulations needed to conform with data privacy, protection, and regulatory requirements
  • determine which users and groups have access to information and interfaces
  • identify appropriate tools for a solution
  • identify auditing requirements

Select software and services required to support the solution

  • identify appropriate services/tools for the solution
  • identify integration points with other Microsoft services

Knowledge Area: Design solutions

Design an AI solution that includes one or more pipelines

  • define a workflow process
  • design a strategy for ingesting data

Design the compute infrastructure to support a solution

  • define infrastructure types
  • determine whether to create a GPU-based or CPU-based solution

Design Intelligent Edge solutions

  • identify appropriate tools for a solution
  • design solutions that incorporate AI pipeline components on Edge devices

Design data governance

  • design authentication architecture
  • design a content moderation strategy
  • ensure appropriate governance for data
  • design strategies to ensure the solution meets data privacy and industry standard regulations

Design solutions that adhere to cost constraints

  • choose a cost-effective data topology
  • configure model processing options to meet constraints
  • select APIs that meet business constraints

Knowledge Area: Integrate AI models into solutions

Orchestrate an AI workflow

  • define and develop AI pipeline stages
  • manage the flow of data through solution components
  • implement data logging processes
  • define and construct interfaces for custom AI services
  • integrate AI models with other solution components
  • design solution endpoints, develop streaming solutions

Integrate AI services with solution components

  • set up prerequisite components and input datasets to allow consumption of Cognitive Services APIs
  • configure integration with Azure Services
  • set up prerequisite components to allow connectivity with Bot Framework

Integrate Intelligent Edge with solutions

  • connect to IoT data streams
  • design pre-processing and processing strategy for IoT data
  • implement Azure Search in a solution

Knowledge Area: Deploy and manage solutions

Provision required cloud, on-premises, and hybrid environments

  • create and manage hardware and software environments
  • deploy components and services required to benchmark and monitor AI solutions
  • create and manage container environments

Validate solutions to ensure compliance with data privacy and security requirements

  • manage access keys
  • manage certificates
  • manage encryption keys

Monitor and evaluate the AI environment

  • identify differences between KPIs and reported metrics and determine root causes for differences
  • identify differences between expected and actual workflow throughput
  • maintain the AI solution for continuous improvement

Se Exam Track...

As part of your accelerated course, you'll sit the following exam at the Firebrand Training Centre. This is covered by your Certification Guarantee:

Exam AI-100: Designing and Implementing an Azure AI Solution - Currently in Beta

Technology: Microsoft Azure

You will be measured on the following skills and knowledge areas:

  • Analyse solution requirements (20-25%)
  • Design solutions (30-35%)
  • Integrate AI models into solutions (25-30%)
  • Deploy and manage solutions (20-25%)

Se What's Included...

The following official courseware, practice papers and exams are all included:

Microsoft Official Courseware

  • There is no Official Courseware for this exam yet

Microsoft Practice Exam

  • Microsoft Official Practice Tests are coming soon

Microsoft Official Exams

  • AI-100: Designing and Implementing an Azure AI Solution - Currently in Beta

Det hele er inkluderet! Du får en alt-inklusiv kursuspakke, som er målrettet til dine behov. Vi tager os af enhver detalje, så det eneste du skal fokusere på er dine lærings- og certificeringsmål.

  • Transport til/fra specifikke afhentningssteder
  • Overnatninger, samtlige måltider samt adgang til forfriskninger, snacks, kaffe og the.
  • Intensiv Hands-on uddannelse med vores unikke (Lecture | Lab | Review)TM metode
  • Omfattende kursusmaterialer og labmanualer
  • Et helt igennem instruktørstyret program
  • 24 timers adgang til både undervisningslokale og instruktøren
  • Samtlige måltider samt adgang til forfriskninger, snacks, kaffe og the.
  • Certificeringsgaranti

Se Prerequisites...

Before attending this course, you should have the following skills and knowledge:

  • Basic conceptual understanding of Microsoft Azure
  • Experience with Windows 10 devices
  • Basic understanding AI (cognitive services, machine learning and knowledge mining)
  • Basic understanding of computer networks

Er du klar til dit Firebrand Kursus?

Vi interviewer alle potentielle deltagere angående deres baggrund, uddannelser, certificeringer og personlig indstilling. Hvis du kommer igennem denne screeningsprocedure, betyder det, at du har rigtig gode chancer for at bestå.

Firebrand Training tilbyder et ambitiøst uddannelsesmiljø, som forudsætter at du dedikerer dig til kurset. Ovenstående forkundskaber er vejledende; mange deltagere med mindre erfaring, men med en anden baggrund eller færdigheder, har haft succes med accelereret uddannelse hos Firebrand Training.

Hvis du funderer på hvorvidt du opfylder de anbefalede forkundskaber, er du meget velkommen til at ringe til os på 78 79 16 53 og tale med en af vores uddannelsesrådgivere, som kan hjælpe dig.

Se Hvornår...

Microsoft Azure AI Engineer Associate Kursusdatoer

Starter

Slutter

Tilgængelighed

Sted

Tilmelding

26/8/2019 (Mandag)

28/8/2019 (Onsdag)

Afsluttet

-

 

10/2/2020 (Mandag)

12/2/2020 (Onsdag)

Begrænsede pladser

Landsdækkende

 

23/3/2020 (Mandag)

25/3/2020 (Onsdag)

Tilgængelige pladser

Landsdækkende

 

4/5/2020 (Mandag)

6/5/2020 (Onsdag)

Tilgængelige pladser

Landsdækkende

 

15/6/2020 (Mandag)

17/6/2020 (Onsdag)

Tilgængelige pladser

Landsdækkende

 

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