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    AI-100: Designing and Implementing an Azure AI Solution

    Candidates for this exam analyze the requirements for AI solutions, recommend appropriate tools and technologies, and implements solutions that meet scalability and performance requirements.
    Candidates implement AI solutions that use Cognitive Services, Azure bots, Azure Search, and data storage in Azure. Candidates understand when a custom API should be developed to meet specific requirements.Enroll & Get Certified now!

    • ✔ Course Duration : 32 hrs
    • ✔ Training Options : Live Online / Self-Paced / Classroom
    • ✔ Certification Pass : Guaranteed

    AI-100: Designing and Implementing an Azure AI Solution

    Candidates for this exam analyze the requirements for AI solutions, recommend appropriate tools and technologies, and implements solutions that meet scalability and performance requirements.
    Candidates translate the vision from solution architects and work with data scientists, data engineers, IoT specialists, and AI developers to build complete end-to-end solutions. Candidates design and implement AI apps and agents that use Microsoft Azure Cognitive Services and Azure Bot Service. Candidates can recommend solutions that use open source technologies.
    Candidates understand the components that make up the Azure AI portfolio and the available data storage options.
    Candidates implement AI solutions that use Cognitive Services, Azure bots, Azure Search, and data storage in Azure. Candidates understand when a custom API should be developed to meet specific requirements.

    What you will Learn

    • Recommend Cognitive Services APIs to meet business requirements
    • Map security requirements to tools, technologies, and processes
    • Select the software, services, and storage required to support a solution
    • Design solutions that include one or more pipelines
    • Design solutions that uses Cognitive Services
    • Design solutions that implement the Bot Framework
    • Design the compute infrastructure to support a solution
    • Design for data governance, compliance, integrity, and security
    • Implement an AI workflow
    • Integrate AI services with solution components
    • Monitor and evaluate the AI environment

    PREREQUISITES

    • Azure Fundamentals
    • Understanding of Azure storage technologies
    • C# Knowledge

    CURRICULUM

    Learning Objectives:
    • 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
    Learning Objectives:
    • Identify processes and regulations needed to conform with data privacy, protection, and regulatory requirements
    • Identify which users and groups have access to information and interfaces
    • Identify appropriate tools for a solution
    • Identify auditing requirements
    Learning Objectives:
    • Identify appropriate services and tools for a solution
    • Identify integration points with other Microsoft services
    • Identify storage required to store logging, bot state data, and Cognitive Services output
    Learning Objectives:
    • Define an AI application workflow process
    • Design a strategy for ingest and egress data
    • Design the integration point between multiple workflows and pipelines
    • Design pipelines that use AI apps
    • Design pipelines that call Azure Machine Learning models
    • Select an AI solution that meet cost constraints
    Learning Objectives:
    • Design solutions that use vision, speech, language, knowledge, search, and anomaly detection APIs
    Learning Objectives:
    • Integrate bots and AI solutions
    • Design bot services that use Language Understanding (LUIS)
    • Design bots that integrate with channels
    • Integrate bots with Azure app services and Azure Application Insights
    Learning Objectives:
    • Identify whether to create a GPU, FPGA, or CPU-based solution
    • Identify whether to use a cloud-based, on-premises, or hybrid compute infrastructure
    • Select a compute solution that meets cost constraints
    Learning Objectives:
    • Define how users and applications will authenticate to AI services
    • Design a content moderation strategy for data usage within an AI solution – Ensure that data adheres to compliance requirements defined by your organization
    • Ensure appropriate governance for data
    • Design strategies to ensure the solution meets data privacy and industry standard regulations
    Learning Objectives:
    • Develop AI pipelines
    • 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
    Learning Objectives:
    • Configure prerequisite components and input datasets to allow consumption of Cognitive Services APIs
    • Configure integration with Azure Services
    • Configure prerequisite components to allow connectivity with Bot Framework
    • Implement Azure Search in a solution
    Learning Objectives:
    • Identify the differences between KPIs, reported metrics, and root causes of the differences
    • Identify the differences between expected and actual workflow throughput
    • Maintain the AI solution for continuous improvement
    • Monitor AI components for availability
    • Recommend changes to an AI solution based on performance data

    FAQs

    You can enroll for this classroom training online. Payments can be made using any of the following options and receipt of the same will be issued to the candidate automatically via email.
    1. Online ,By deposit the mildain bank account
    2. Pay by cash team training center location

    Highly qualified and certified instructors with 20+ years of experience deliver more than 200+ classroom training.

    Contact us using the form on the right of any page on the mildaintrainings website, or select the Live Chat link. Our customer service representatives will be able to give you more details.

    You will never miss a lecture at Mildaintrainigs! You can choose either of the two options: View the recorded session of the class available in your LMS. You can attend the missed session, in any other live batch.

    We have a limited number of participants in a live session to maintain the Quality Standards. So, unfortunately, participation in a live class without enrollment is not possible. However, you can go through the sample class recording and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in a class.

    Yes, you can cancel your enrollment if necessary prior to 3rd session i.e first two sessions will be for your evaluation. We will refund the full amount without deducting any fee for more details check our Refund Policy

    Yes, the access to the course material will be available for lifetime once you have enrolled into the course.

    Just give us a CALL at +91 8447121833 OR email at info@mildaintrainings.com

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    Online Live Instructor-Led Classes.
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  • Real-life Case Studies
    Live project based on any of the selected use cases, involving implementation of the various Course concepts.
  • Assignments
    Each class will be followed by practical assignments.
  • Lifetime Access
    You get lifetime access to presentations, quizzes, installation guide & class recordings.
  • 24 x 7 Expert Support
    We have 24x7 online support team to resolve all your technical queries, through ticket based tracking system, for the lifetime.
  • Certification
    Sucessfully complete your final course project and Mildaintrainings will give you Course completion certificate.
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