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Microsoft Azure AI Engineer Associate Certification Training

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Azure AI Engineer Associated is the roles-based credential for Azure AI Engineers who are developing and implementing Microsoft AI solutions that include natural language processing, voice, computer vision, bots, and agents using cognitive services, machine learning, and knowledge mining. A substantial experience is suggested in the creation and deployment of AI solutions in Azure to better appreciate all the skills evaluated during the review.

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  • 40+ Hrs Hands On Training
  • 2 Live Projects For Hands-On Learning
  • 50 Hrs Practical Assignments
  • 24/7 Students

Online Classroom Batches Preferred

22- Apr- 2024
Monday (Monday - Friday)

Weekdays Regular

08:00 AM (IST)

(Class 1Hr - 1:30Hrs) / Per Session

17- Apr- 2024
Wednesday (Monday - Friday)

Weekdays Regular

08:00 AM (IST)

(Class 1Hr - 1:30Hrs) / Per Session

20- Apr- 2024
Saturday (Saturday - Sunday)

Weekend Regular

11:00 AM (IST)

(Class 3hr - 3:30Hrs) / Per Session

20- Apr- 2024
Saturday (Saturday - Sunday)

Weekend Fasttrack

11:00 AM (IST)

(Class 4:30Hr - 5:00Hrs) / Per Session

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₹21000 ₹16000 10% OFF Expires in

No Interest Financing start at ₹ 5000 / month

Microsoft Azure AI Engineer Associate Certification Online Training Overview

Microsoft Certified Azure AI Engineer Associate is a role-based qualification for Azure AI engineers who architect and implement Microsoft AI solutions involving natural language processing, voice, computer vision, bots, and agents using Cognitive Services, Machine Learning, and Information Mining. In architecting and implementing Microsoft AI solutions involving natural language processing, voice, computer vision, bots, and agents, Azure AI engineers use Cognitive Services, Machine Learning, and Information Mining. An applicant for this credential should have the skills and expertise to develop and execute Microsoft Azure Cognitive Services, Azure Bot Service, Azur AI applications, Azure Cognitive Search, and data storage and agents in Azure.

Microsoft Azure AI Engineer Associate Certification Training will:

  • The Azure AI certification at the associate level validates your expertise in the study of criteria for solutions. This tests the expertise in creating, implementing, and tracking AI solutions.
  • You will understand the storage solutions and recommend the appropriate tools, technologies, and procedures that satisfy the process flow requirements.
  • With the aid of Intelligent Edge and AI services, you can organize an AI workflow and assimilate solution components.
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Top Skills You Will Gain
  • Azure Cognitive Services
  • Creating Bots, Enhancing your bots with LUI
  • Deployment and containers
  • Integrate Cognitive
  • Services with bots and Agent
  • Monitoring, analytics and best practices
  • Image classification
  • Enhancing bots with QnA Maker

Microsoft Azure AI Engineer Associate Certification Course Key Features 100% Money Back Guarantee

  • 5 Weeks Training

    For Become a Expert
  • Certificate of Training

    From Industry Microsoft Azure AI Engineer Associate Certification Experts
  • Beginner Friendly

    No Prior Knowledge Required
  • Build 3+ Projects

    For Hands-on Practices
  • Lifetime Access

    To Self-placed Learning
  • Placement Assistance

    To Build Your Career

Top Companies Placement

As Azure AI Engineers, they are in charge of developing, managing, and deploying AI solutions that make use of Azure Cognitive Services and the Microsoft Bot framework. They closely work with solution architects, data engineers, IoT specialists, and AI developers to create complete end-to-end AI solutions and rewarded with substantial pay raises shown below.
  • Designation
  • Annual Salary
    Hiring Companies
  • 4.5L
    Min
  • 6.7L
    Average
  • 15.2L
    Max
  • 4.54L
    Min
  • 8.4L
    Average
  • 16.5L
    Max
  • 4.4L
    Min
  • 6.8L
    Average
  • 15.2L
    Max
  • 5.3L
    Min
  • 6.4L
    Average
  • 14.2L
    Max

Training Options

One to One Training

₹23000₹ 18000

  • Lifetime access to high-quality self-paced eLearning content curated by industry experts
  • 8 industry case studies on real business problems
  • 6 hands-on projects to perfect the skills learnt
  • 8 industry case studies on real business problems
  • 6 hands-on projects to perfect the skills learnt

Online Training

₹21000₹ 16000

  • preferred
  • Live demonstration of features and practicals.
  • Lifetime access to high-quality self-paced learning and live online class recordings
  • Get complete certification guidance
  • Attend a Free Demo before signing up.

Next Demo Sessions

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Corporate Training

Customized to your team's needs

  • Self-Paced/Live Online/Classroom modes of training available
  • Design your own course content based on your project requirements
  • Learn as per full day schedule and/or flexible timings
  • Gain complete guidance on certification
  • 24x7 learner assistance and support

Self Paced Training

  • 50+ Hours High-quality Video
  • 28+ Downloadable Resource
  • Lifetime Access and 24x7 Support
  • Access on Your Computer or Mobile
  • Get Certificate on Course Completion
  • 3+ Projects
12500 ₹4500

Microsoft Azure AI Engineer Associate Certification Course Curriculam

Trainers Profile

Trainers are certified professionals with 12+ years of experience in their respective domains as well as they are currently working with Top MNCs. As all Trainers from Microsoft Azure AI Engineer Associate Certification are respective domain working professionals so they are having many live projects, trainers will use these projects during training sessions.

Pre-requisites

Candidates for the Azure AI Engineer Associate certification should have subject matter expertise using cognitive services, machine learning, and knowledge mining to architect and implement Microsoft AI solutions involving natural language processing, speech, computer vision, and conversational AI.

Syllabus of Microsoft Azure AI Engineer Associate Certification Online Course Download syllabus

  • 1. Recommend Cognitive Services APIs to meet business requirements
  • 2. Choosing a Microsoft cognitive services technology
  • 3. Microsoft Azure Cognitive Services: The Big Picture
  • 4. Microsoft Azure Cognitive Services: Custom Vision API
  • 5. Precision versus Recall
  • 6. automated-ml#precision-recall-chart
  • 7. Performance measures in Azure ML: Accuracy, Precision, Recall and F1 Score
  • 1. Bot Service Compliance
  • 1. Machine learning at scale learning-at-scale
  • 2. Designing an Intelligent Edge in Microsoft Azure (By Jared Rhodes)
  • 3. Azure IoT reference architecture
  • 4. Azure IoT reference architecture (Detailed PDF)
  • 5. Choosing a real-time message ingestion technology in Azure
  • 1. Azure Databricks
  • 1. Build a real-time recommendation API on Azure
  • 2. storage required to store logging, bot state data, and Cognitive Services output
  • 3. Choose the right data store
  • 4. Warehouse
  • 5. Azure Data Lake Analytics
  • 6. Azure Data Lake Store
  • 7. Cosmos DB Global Distribution:
  • 8. Install the Azure IoT Edge runtime on Debian-based Linux system
  • 9. Deploy Azure IoT Edge modules from the Azure portal
  • 10. Creating an image recognition solution with Azure IoT Edge and Azure Cognitive Services
  • 11. IoT edge built-in modules
  • 12. Stream Analytics
  • 13. Another option for stream analytics is Apache Spark in Azure Databrick or HDInsigt, or Apache Storm in HDInsight
  • 14. Apache Storm
  • 15. Anomaly detection using machine learning in Azure Stream Analytics
  • 16. Built-in ML based Anomaly Detection
  • 1. Real-Time ML based Anomaly Detection in Azure Stream Analytics (same as above but demo with Raspberry Pi)
  • 2. Anomaly Generator (Git)
  • 3. Performing sentiment analysis by using Azure Stream Analytics and Azure Machine Learning Studio
  • 4. Real-time analytics on IoT Edge with Azure Stream Analytics
  • 5. Azure Stream Analytics now available on IoT Edge
  • 1. What is Azure Machine Learning
  • 2. Predict automobile price with the visual interface
  • 3. Create and manage Azure Machine Learning service workspaces
  • 4. AI Pipelines
  • 5. Azure Machine Learning Pipeline
  • 6. AML Samples:
  • 7. Get Started with Azure Machine Learning
  • 8. How to use Notebooks with Azure Machine Learning workspace
  • 9. Choose a Compute target
  • 10. Deploy a model to an Azure Kubernetes Service cluster
  • 11. Deploy a model using a custom Docker image
  • 12. Azure Data Factory
  • 13. Data Science Virtual Machine
  • 14. Data Science Virtual Machine
  • 15. AI Data Science Virtual Machine
  • 16. Learning Virtual Machine
  • 1. Cognitives Services Directory
  • 2. Classify images with the Microsoft Custom Vision Service
  • 3. Speech Service Documentation
  • 4. Bing Web Search API Documentation
  • 5. What is Custom Decision Service?
  • 1. Building a bot
  • 2. Bot Framework Emulator
  • 3. Data sources for QnA Maker content
  • 4. Best practices of a QnA Maker knowledge base
  • 5. LUIS (Language Understanding Intelligent Services)
  • 6. Entity types and their purposes in LUIS
  • 7. Composite entity
  • 8. List entity
  • 9. Enterprise-grade conversational bot
  • 1. What are field-programmable gate arrays (FPGA)
  • 2. Inside the Microsoft FPGA-based configurable cloud
  • 3. Hyperscale hardware: ML at scale on top of Azure + FPGA
  • 4. GPUs vs CPUs for deployment of deep learning models by Fidan Boylu Uz
  • 4. Reference architecture: Machine Learning model training with AKS
  • 5. Deploy Deep Learning CNN on Kubernetes Cluster with GPUs – AML version
  • 6. Deploying Deep Learning Models on Kubernetes with GPUs
  • 7. Design Data for Governance, compliance, integrity & security
  • 1. IoT Hub
  • 2. AML Services
  • 3. AML Sample
  • 1. Azure IoT reference architecture
  • 2.Add authentication to your bot via Azure Bot Service
  • 1. Overview of alerts in Microsoft Azure
  • 2. Monitor your Azure Machine Learning models with Application Insights
  • 3. Add telemetry to your bot
  • 4. Bot analytics
  • 1. Other useful materials
  • 2. Developing AI Models in Microsoft Azure
  • 3. Managing Microsoft Azure AI Solutions
  • 4. Microsoft Azure Developer: Creating and Integrating AI with Azure Services
  • 5. AI-100: Designing and Implementing an Azure AI Solution — Study Guide
  • 6. MLOps Workshop
  • 7. Microsoft Cloud Workshop library
  • 8. Creating an image recognition solution with Azure IoT Edge and Azure Cognitive Services
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Need customized curriculum?

Industry Projects

Project 1
Image Recognition with TensorFlow

In this project, you will learn how to build a convolutional neural network using Google TensorFlow.

Project 2
Building an AI-based Chatbot using IBM watson LAB

In this project, by understanding the customer needs, you will be able to offer the right services through Artificial Intelligence chatbots.

Project 3
Employee Management System (EMS)

Create a new system to automate the regulation creation and closure process.

Mock Interviews

  • Mock interviews by Learnovita give you the platform to prepare, practice and experience the real-life job interview. Familiarizing yourself with the interview environment beforehand in a relaxed and stress-free environment gives you an edge over your peers.
  • Our mock interviews will be conducted by industry experts with an average experience of 7+ years. So you’re sure to improve your chances of getting hired!

How Learnovita Mock Interview Works?

Microsoft Azure AI Engineer Associate Certification Training Objectives

  • Candidates for the Azure AI Engineer Associate certification should have subject matter expertise using cognitive services, machine learning, and knowledge mining to architect and implement Microsoft AI solutions involving natural language processing, speech, computer vision, and conversational AI.
  • Azure AI Engineers translate the vision from solution architects and work with data scientists, data engineers, IoT specialists, and software developers to build complete end-to-end solutions.
  • Analyse solution requirements
  • Design AI solutions
  • Implement and monitor AI solutions
The important factors you will learn in this Microsoft Azure AI Engineer-Associate course are:
  • Visual perception
  • Speech Recognition
  • Decision-Making
  • Translation between the languages
Course is designed to pass the Microsoft Azure AI Engineer-Associate Certification exam as well as learning things related to Artificial Intelligence:
  • Design and Implement Azure AI solutions
  • IBM Watson usage skill
  • Knowledge mining to Architect
  • Cognitive services
  • Handling Azure resources
Learning Microsoft Azure AI Engineer Certificate course is not tough. But the following aspirants can take this course,
  • Experienced programmer who wish to develop and implement the solution in Azure environment
  • Candidate should be familiar with Python or R
  • Non-programmer with computer skill
  • IT programming knowledge is an added advantage
Responsibilities for this role include:
  • Analysing requirements for AI solutions
  • Recommending the appropriate tools and technologies
  • Designing and implementing AI solutions that meet scalability
  • Performance requirements
There is no mandatory knowledge for learning Microsoft Azure AI Engineer-Associate. I would like to mention few of them:
  • Aspirants should have a piece of knowledge in developing python applications
  • Machine learning skill is an added advantage
  • One-year experience in Azure application tools
  • Minimum experience with Azure Environme
  • AI is the fastest growing technology. Many top tech-giants investing a lot in this technology. The huge advantage of this course is to handling data generation. We are generating a lot of data on a daily basis.
  • Because of all these advantages of this course, top companies like Amazon, Google, J.P Morgan, IBM, Netflix, Facebook and Twitter recruiting AI engineers
The following are the few major advantages of learning Microsoft Azure AI Engineer-Associate Certification Course:
  • Higher salaries
  • Huge job openings across the globe
  • Flexible platform
  • Agile technologies
  • Portable
  • Open-source
  • EXAM AI-100 WILL BE REPLACED WITH EXAM AI-102 ON FEBRUARY 23, 2021.
  • You will still be able to earn this certification by passing AI-100 until it retires on June 30, 2021.
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Exam & Certification

At LearnoVita, You Can Enroll in Either the instructor-led Online Classroom Training or Online Self-Paced Training. Online Classroom:
  • Participate and Complete One batch of Microsoft Azure AI Engineer Associate Certification Training Course
  • Successful completion and evaluation of any one of the given projects
Online Self-learning:
  • Complete 85% of the Microsoft Azure AI Engineer Associate Certification Certification course
  • Successful completion and evaluation of any one of the given projects
Honestly Yes, We Provide 1 Set of Practice test as part of Your Microsoft Azure AI Engineer Associate Certification Training course. It helps you to prepare for the actual Microsoft Azure AI Engineer Associate Certification Certification exam. You can try this free Microsoft Azure AI Engineer Associate Certification Fundamentals Practice Test to Understand the Various type of tests that are Comes Under the Parts of Course Curriculum at LearnoVita.
These are the Four Different Kinds of Certification levels that was Structured under the Oracle’s Microsoft Azure AI Engineer Associate Certification Certification Path.
  • Oracle Certified Associate (OCA)
  • Oracle Certified Professional (OCP)
  • Oracle Certified Expert (OCE)
  • Oracle Certified Master (OCM)
  • Learn About the Certification Paths.
  • Write Code Daily This will help you develop Coding Reading and Writing ability.
  • Refer and Read Recommended Books Depending on Which Exam you are Going to Take up.
  • Join LearnoVita Online Training Course That Gives you a High Chance to interact with your Subject Expert Instructors and fellow Aspirants Preparing for Certifications.
  • Solve Sample Tests that would help you to Increase the Speed needed for attempting the exam and also helps for Agile Thinking.
Honestly Yes, Please refer to the link This Would Guide you with the Top 20 Interview Questions & Answers for Microsoft Azure AI Engineer Associate Certification Developers.

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Microsoft Azure AI Engineer Associate Certification Course FAQ's

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Yes, you can attend the demo session. Even though We have a limited number of participants in a live session to maintain the Quality Standards. So, unfortunately, participation in a live class without enrolment is not possible.If you are unable to attend you can go through our Pre recorded session of the same trainer, it would give you a clear insight about how are the classes conducted, the quality of instructors, and the level of interaction in the class.
All Our instructors are working professionals from the Industry, Working in leading Organizations and have Real-World Experience with Minimum 9-12 yrs of Relevant IT field Experience. All these experienced folks at LearnoVita Provide a Great learning experience.
The trainer will give Server Access to the course seekers, and we make sure you acquire practical hands-on training by providing you with every utility that is needed for your understanding of the course
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  • More than 5400+ students placed in last year in India & Globally.
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After Your Course Completion You will Receive
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  • All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.
  • You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc.
  • After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.
At LearnoVita you can enroll in either the instructor-led Online Training, Self-Paced Training, Class Room, One to One Training, Fast Track, Customized Training & Online Training Mode. Apart from this, LearnoVita also offers Corporate Training for organizations to UPSKILL their workforce.
LearnoVita Assures You will Never lose any Topics and Modules. You can choose either of the Three options:
  • We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities.
  • View the class presentation and recordings that are available for online viewing.
  • You can attend the missed session, in any other live batch.
Just give us a CALL at +91 9383399991 OR email at contact@learnovita.com
Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question After Once You Have Enrolled.
We at LearnoVita believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics and Can Access more information and Richer Understanding through teacher and other students' body language and voice. Therefore, we restrict the size of each Microsoft Azure AI Engineer Associate Certification batch to 5 or 6 members
Learning Microsoft Azure AI Engineer Associate Certification can help open up many opportunities for your career. It is a GREAT SKILL-SET to have as many developer roles in the job market requires proficiency in Microsoft Azure AI Engineer Associate Certification. Mastering Microsoft Azure AI Engineer Associate Certification can help you get started with your career in IT. Companies like Oracle, IBM, Wipro, HP, HCL, DELL, Bosch, Capgemini, Accenture, Mphasis, Paypal, and MindLabs.
The Average Microsoft Azure AI Engineer Associate Certification Developer salary in India is ₹4,43,568 per annum.
You can contact our support number at +91 93800 99996 / Directly can do by LearnoVita E-commerce payment system Login or directly walk-in to one of the LearnoVita branches in India.
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