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MLOps Fundamentals Training Course

Unlock the power of MLOps with Multisoft Virtual Academy's comprehensive training. Learn the fundamentals of deploying, managing, and monitoring machine learning models effectively. Gain practical skills to streamline ML workflows, enabling seamless integration into your organization's operations. Join us and propel your career forward!

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Instructor-led Training Live Online Classes

Suitable batches for you

01 Jun 2024 24 06:00 PM - 09:00 PM Sat, Sun
08 Jun 2024 24 06:00 PM - 09:00 PM Sat, Sun

Course Price At

$ 450

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Talk to our training advisor

Instructor-led Training Live Online Classes

01 Jun 2024 24 06:00 PM - 09:00 PM Sat, Sun
08 Jun 2024 24 06:00 PM - 09:00 PM Sat, Sun

Course Price At

$ 450

Enroll Now
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Online Self Learning Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You’ll learn through videos, PPTs and complete assignments, projects and other activities designed to enhance learning outcomes, all at times that are most convenient to you.

Course Price At

$ 450

Enroll Now
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Talk to our training advisor

Instructor-Led Online Training Parameters

Course Highlights

  • Duration: 24 Hrs.
  • Subject Matter Expert
  • After Training Support
  • Lifetime E-Learning Access
  • Recorded Sessions
  • Free Online Assessments
MLOps Fundamentals Training Course Syllabus

Curriculum Designed by Experts


MLOps Fundamentals training by Multisoft Virtual Academy offers a comprehensive overview of Machine Learning Operations (MLOps), a methodology that streamlines the deployment, management, and monitoring of machine learning models. In today's data-driven world, organizations increasingly rely on machine learning models to gain insights, make predictions, and automate decision-making processes. However, effectively operationalizing these models poses significant challenges, from version control and reproducibility to scalability and monitoring. This training equips participants with the essential knowledge and skills to address these challenges and build robust MLOps pipelines. Participants will delve into key concepts such as version control systems, containerization, continuous integration and deployment (CI/CD), model monitoring, and governance. Through hands-on exercises and real-world case studies, learners will understand how to leverage tools like Docker, Kubernetes, Git, and Azure DevOps to implement MLOps best practices. Moreover, the training emphasizes the importance of collaboration between data scientists, developers, and operations teams to foster a culture of agility and innovation. By adopting MLOps principles, organizations can accelerate the time-to-market for machine learning projects, improve model performance, and ensure regulatory compliance.

Whether you're a data scientist, machine learning engineer, or IT professional, this training provides a solid foundation in MLOps principles and techniques. Upon completion, participants will be equipped to effectively deploy, manage, and monitor machine learning models in production environments, driving value and competitive advantage for their organizations.

MLOps Fundamentals Training is a course designed to teach the practices necessary for deploying, managing, and optimizing machine learning models efficiently. It covers automation, monitoring, version control, and integration with IT infrastructure, focusing on improving collaboration between data science and operations teams to enhance ML lifecycle management.

  • Data Scientists’ Pain Points
  • Machine Learning Lifecycle
  • MLOps Architecture and TensorFlow Extended Components

  • Introduction
  • Introduction to Containers
  • Containers and Container Images
  • Introduction to Kubernetes
  • Introduction to Google Kubernetes Engine
  • Compute Options Detail
  • Kubernetes Concepts
  • The Kubernetes Control Plane
  • Google Kubernetes Engine Concepts
  • Deployments
  • Ways to Create Deployments
  • Services and Scaling
  • Updating Deployments
  • Rolling Updates
  • Blue-Green Deployments
  • Canary Deployments
  • Managing Deployments
  • Jobs and CronJobs
  • Parallel Jobs
  • CronJobs

  • Containers and Container Images
  • Introduction to Kubernetes
  • Introduction to Google Kubernetes Engine
  • Containers and Kubernetes in Google Cloud
  • Kubernetes Concepts
  • The Kubernetes Control Plane
  • Google Kubernetes Engine Concepts
  • Deployments
  • Updating Deployments
  • Jobs

  • Concepts
  • When to use
  • Ecosystem
  • Getting Started with Google Cloud

  • System and concepts overview
  • Create a reproducible dataset
  • Implement a tunable model
  • Build and push a training container
  • Train and tune the model
  • Serve and query the model

  • System and concept overview
  • Describing a Kubeflow Pipeline with KF DSL
  • Pre-built components5m
  • Lightweight Python Components
  • Custom components
  • Compile, upload and Run

  • Concept Overview
  • Cloud Build Builders
  • Cloud Build Configuration
  • Cloud Build Triggers

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MLOps Fundamentals Training Description

  • Understand the core principles of MLOps and its importance in the ML lifecycle.
  • Learn to automate and streamline the deployment, monitoring, and maintenance of machine learning models.
  • Acquire skills in version control for both data and ML models to ensure reproducibility and traceability.
  • Gain proficiency in using cloud platforms for scalable and secure ML model deployment.
  • Explore strategies for integrating machine learning models with existing IT infrastructure.
  • Develop collaborative skills for working effectively between data science and operations teams.

  • Data Scientists
  • Machine Learning Engineers
  • DevOps Engineers
  • IT Operations Professionals
  • Software Developers interested in AI
  • Project Managers overseeing AI projects
  • Business Analysts involved in data-driven decision making

  • Basic understanding of machine learning concepts and algorithms.
  • Familiarity with programming languages, preferably Python.
  • Experience with data handling and analysis techniques.

MLOps Fundamentals Training Certification

Multisoft Virtual Academy provides a globally recognized training certificate to the participants, after successful completion of a training program. The training certificates are recognized and accepted across the world.

Multisoft Virtual Academy's training certificate comes with lifetime validity.

Aspirants can directly enroll for the desired course from the Book Now Button in the course page. You can also connect on Whatsapp at +91 8130666206 to talk with a training advisor. Multisoft Virtual Academy also offers customized training programs on a wide range of domains and skills.

All training programs offered by Multisoft Virtual Academy are delivered by certified industry experts, who have years of experience in the relevant domains. Multisoft Global Subject Matter Experts impart knowledge on a wide variety of training courses through one –on-one and corporate training sessions.

Multisoft Virtual Academy training certification can help participants stand out in the competitive job market. Since the training certificates are internationally accepted, participants can showcase their skills and knowledge to employers across the world.

MLOps Fundamentals Corporate Training Certification

Interactive Virtual Training

Interactive Virtual Training

  • Global Subject Matter Experts
  • Step-by –Step Learning Approach
  • Instant Doubt Clearing
Lifetime Access

Lifetime Access

  • Lifetime E-learning Access
  • Recorded Training Session Videos
  • Free Access to Practice Tests
24x7 Assistance

24x7 Assistance

  • Help Desk Support
  • Doubt Resolution in Real-time
  • After Training Support
Hands on Experience

Hands on Experience

  • Project Based Learning
  • Learning based on real-life examples
  • Assignments and Practice Tests
Globally Recognized Training Certificate

Globally Recognized Certificate

  • Multisoft Training Certificate
  • Globally Recognized and Accepted
  • Lifetime Validity

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MLOps Fundamentals Training FAQ's

By mastering MLOps fundamentals, you'll be equipped to efficiently deploy, monitor, and manage machine learning models, enhancing your value as a data professional and opening up new career opportunities in AI and ML.

Both online and in-person training options are available, depending on your preference and location.

Yes, participants who successfully complete the training and pass the assessment will receive a certificate of completion from Multisoft Virtual Academy.

While there are no strict prerequisites, a basic understanding of machine learning concepts and familiarity with programming languages such as Python would be beneficial.

To contact Multisoft Virtual Academy you can mail us on or can call for course enquiry on this number  +91 8130666206

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