Master Azure MLOps: Comprehensive Course for Machine Learning Operations

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Azure MLOps Course Overview

The Azure MLOps certification centers around the implementation and operation of Microsoft Azure Machine Learning (ML) for efficient deployment, testing, and improvement of ML models. It underscores the marriage of ML and DevOps practices for a more systematic, automated, and reproducible ML lifecycle (from data prep to deployment). Businesses leverage it for its ability to handle large datasets, multi-layered learning algorithms, and cloud-based scalable solutions. Its application helps industries improve decision-making, boost productivity and business forecasts, and reduce human error. Its core concepts involve aspects like scaling and automation, continuous integration and delivery, model management and monitoring in the cloud platform.

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Start your session at a date of your choice-weekend & evening slots included, and reschedule if necessary.
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4-Hour Sessions

Training never been so convenient- attend training sessions 4-hour long for easy learning.
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Destination Training

Attend trainings at some of the most loved cities such as Dubai, London, Delhi(India), Goa, Singapore, New York and Sydney.
Live Online Training (Duration : 16 Hours)
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.

1250 + If you accept merging of other students. Per Participant & excluding VAT/GST
4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Group Training
1000 Per Participant & excluding VAT/GST
Online
11 - 12 Dec 09:00 AM - 05:00 PM CST
(8 Hours/Day)
Online
15 - 16 Jan 09:00 AM - 05:00 PM CST
(8 Hours/Day)
+ If you accept merging of other students.
Winner of the Microsoft’s Asia Superstar Campaign in FY 22
Winner of the Microsoft’s Asia Superstar Campaign in FY 22
Course Prerequisites
- Fundamental knowledge of Machine Learning concepts
- Understanding of Microsoft Azure services
- Proficiency in Python programming language
- Familiarity with DevOps principles and practices
- Hands-on experience with Azure Machine Learning Service
- Basic knowledge of software development
- Previous experience with data science tools like Jupyter and Azure Notebooks.

Azure MLOps Certification Training Overview

Azure MLOps Certification training is a specialized course that provides foundational knowledge and skills necessary for implementing and running machine learning operations. Topics covered generally include understanding the Azure Machine Learning Service, its workflow, and how to use it for model management and deployment. It also delves into data science concepts, CI/CD pipelines for machine learning models, and automated machine learning techniques. The course equips learners with practical knowledge of managing and optimizing ML models, thus enabling enhanced operational excellence.

Why Should You Learn Azure MLOps?

Learning Azure MLOps course in stats provides a deep comprehension of developing Machine Learning models in Azure and deploying them safely. It enhances skills in data engineering, machine learning workflows, model management, monitoring and troubleshooting. The course facilitates career opportunities as Data Scientists, AI Engineers, and Machine Learning Engineers.

Target Audience for Azure MLOps Certification Training

- Cloud engineers and administrators interested in developing, deploying, and maintaining machine learning models in Azure.
- Data scientists seeking to automate ML processes effectively and efficiently.
- IT professionals aiming to broaden their cloud and machine learning operations skills.
- Businesses and organizations aiming to scale their AI initiatives.

Why Choose Koenig for Azure MLOps Certification Training?

• Trained by Certified Instructors to ensure quality training.
• Opportunity to Boost Your Career through intensive skills enhancement.
• Customized Training Programs tailored to meet individual learning objectives.
• Offers Destination Training for learners preferring on-site classroom learning.
• Affordable Pricing for Azure MLOps training in comparison to other institutes.
• Recognized as a Top Training Institute in IT & Project Management globally.
• Flexible Dates to accommodate learners' time availability.
• Instructor-Led Online Training that promotes real-time interaction and clarification.
• Wide Range of Courses to provide diverse opportunities for learning.
• Fully Accredited Training with valuable certification from recognized bodies.

Azure MLOps Skills Measured

After completing Azure MLOps certification training, an individual can acquire skills like designing and implementing machine learning workflows, managing Azure resources, deploying ML models into production, conducting automated testing, building scalable solutions, tracking metrics, ensuring compliance, and implementing data privacy. They also learn to use various Azure services and tools, like Azure DevOps, to facilitate the implementation of machine learning methodology. Exceptional problem-solving skills and the ability to effectively work with big data are also enhanced.

Top Companies Hiring Azure MLOps Certified Professionals

Companies like Microsoft, Amazon, IBM, Cognizant, Capgemini, Accenture, Infosys, TCS, Deloitte, and HCL Technologies are actively seeking Azure MLOps certified professionals for roles such as cloud solutions architect, cloud infrastructure engineer, and machine learning engineer, showcasing their commitment to leverage cloud-based machine learning solutions.

Learning Objectives - What you will Learn in this Azure MLOps Course?

The main objectives of an Azure MLOps course are to bolster students' understanding of the application of DevOps practices to Machine Learning system development. Students will learn to build robust, scalable, and efficient Machine Learning workflows using Azure's MLOps capabilities. They will learn to automate and simplify the deployment and management of models, enhance team collaborations and model experimentations, maintain data and model traceability, and ensure reproducibility. The course also aims to enable students to set up monitoring for model performance and effectively use Azure services for MLOps such as Azure Machine Learning, Azure Pipelines, and Azure Kubernetes Service.

FAQ's

Yes, fee excludes local taxes.
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Yes, Koenig Solutions is a Microsoft Gold Learning Partner
Schedule for Group Training is decided by Koenig. Schedule for 1-on-1 is decided by you.
In 1 on 1 Public you can select your own schedule, other students can be merged. Choose 1-on-1 if published schedule doesn't meet your requirement. If you want a private session, opt for 1-on-1 Private.
1-on-1 Public - Select your start date. Other students can be merged. 1-on-1 Private - Select your start date. You will be the only student in the class.
Yes, course requiring practical include hands-on labs.
You can buy online from the page by clicking on "Buy Now". You can view alternate payment method on payment options page.
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We use the best standards in Internet security. Any data retained is not shared with third parties.
You can request a refund if you do not wish to enroll in the course.
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Yes, we also offer weekend classes.
Yes, Koenig follows a BYOL(Bring Your Own Laptop) policy.
It is recommended but not mandatory. Being acquainted with the basic course material will enable you and the trainer to move at a desired pace during classes. You can access courseware for most vendors.
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Buy-Now. Pay-Later option is available using credit card in USA and India only.
You will receive the letter of course attendance post training completion via learning enhancement tool after registration.
Yes you can.
Yes, we do. For details go to flexi
You can pay through debit/credit card or bank wire transfer.
Dubai, London, Sydney, Singapore, New York, Delhi, Goa, Bangalore, Chennai and Gurugram.
Yes you can request your customer experience manager for the same.
Yes of course. 100% refund if training not upto your satisfaction.

Prices & Payments

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Travel and Visa

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Food and Beverages

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