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Machine Learning Operations (MLOps) Specialization Course Training

Unlock your potential in Machine Learning Operations with Multisoft Virtual Academy's MLOps Training. Experience expert-led interactive sessions, hands-on projects, and gain industry-relevant skills to elevate your professional journey in the evolving field of MLOps. Start transforming your career now!

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Instructor-led Training Live Online Classes

Suitable batches for you

20 Jul 2024 24 06:00 PM - 09:00 PM Sat, Sun
27 Jul 2024 24 06:00 PM - 09:00 PM Sat, Sun
03 Aug 2024 24 06:00 PM - 09:00 PM Sat, Sun
10 Aug 2024 24 06:00 PM - 09:00 PM Sat, Sun

Course Price At

$ 450

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Instructor-led Training Live Online Classes

20 Jul 2024 24 06:00 PM - 09:00 PM Sat, Sun
27 Jul 2024 24 06:00 PM - 09:00 PM Sat, Sun
03 Aug 2024 24 06:00 PM - 09:00 PM Sat, Sun
10 Aug 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

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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
Machine Learning Operations (MLOps) Training Course Syllabus

Curriculum Designed by Experts


comprehensive course offers a blend of theoretical knowledge and practical application, ensuring participants understand the full lifecycle of machine learning models from development to deployment and maintenance. The training covers key MLOps principles such as model versioning, monitoring, and continuous integration/continuous deployment (CI/CD) pipelines. Participants will learn how to streamline the workflow of machine learning projects using popular tools and technologies that facilitate collaboration and efficiency across data science and IT teams.

Led by industry experts, the course includes interactive sessions that simulate real-world scenarios, where trainees can apply their learning to solve practical problems. This hands-on approach helps in solidifying the concepts and techniques taught, making them immediately applicable in professional settings.

The program is suitable for data scientists, ML engineers, software developers, and IT professionals who wish to enhance their expertise in managing and operationalizing machine learning models. By the end of this training, participants will be equipped with the necessary skills to implement and manage robust MLOps strategies, driving efficiency and innovation in their organizations.

MLOps training teaches the skills needed to efficiently manage machine learning operations, focusing on automating and streamlining the machine learning lifecycle. It covers deploying, monitoring, and maintaining ML models, ensuring they perform optimally and integrate seamlessly with existing IT environments. The training also emphasizes collaboration and continuous improvement in ML projects.

  • Overview of ML Ops principles and importance
  • Challenges in deploying and managing machine learning models
  • Introduction to the course structure and objectives

  • Basics of version control
  • Introduction to Git and its importance in ML Ops
  • Hands-on exercises on Git commands for managing machine learning models, datasets, and code

  • Introduction to Docker and containerization
  • Dockerfile creation and container management
  • Docker for packaging machine learning models

  • Overview of Kubernetes and container orchestration
  • Deploying and scaling machine learning models with Kubernetes
  • Hands-on exercises on Kubernetes deployment

  • Introduction to CI/CD and its importance in ML Ops
  • Setting up CI/CD pipelines for machine learning models
  • Automation of testing, building, and deployment processes

  • Importance of monitoring and logging in ML Ops
  • Implementing monitoring solutions for tracking model performance and health
  • Hands-on exercises on monitoring tools

  • Understanding model governance and compliance
  • Techniques for ensuring fairness, transparency, and accountability in machine learning models
  • Case studies on model governance

  • Techniques for optimizing scalability and performance of machine learning models
  • Hands-on exercises on performance optimization

  • Introduction to Infrastructure as Code (IaC)
  • Provisioning and managing infrastructure using Terraform
  • Hands-on exercises on Terraform for ML Ops

  • Importance of security in ML Ops
  • Security best practices for machine learning models
  • Techniques for protecting against threats and vulnerabilities

  • Presentation of real-world case studies and best practices from industry experts
  • Discussion on challenges and solutions in implementing ML Ops in various organizations
  • Q&A session

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Machine Learning Operations (MLOps) Training Description

Here are the key objectives of the MLOps training:

  • Gain a thorough understanding of the complete machine learning lifecycle, including development, deployment, monitoring, and scaling.
  • Learn to utilize essential MLOps tools and technologies such as Docker, Kubernetes, and continuous integration/continuous deployment (CI/CD) pipelines effectively.
  • Enhance collaboration between data scientists, developers, and operational teams to streamline the deployment and maintenance of ML models.
  • Acquire skills to automate various stages of the ML workflow, improving efficiency and reducing human error.
  • Learn techniques to monitor and maintain deployed models to ensure they remain accurate and performant over time.

The target audience for MLOps training includes:

  • Data Scientists
  • Machine Learning Engineers
  • DevOps Engineers
  • IT Professionals
  • Software Developers
  • Data Engineers

  • Familiarity with machine learning concepts and algorithms.
  • Proficiency in programming languages such as Python, which is commonly used in machine learning.
  • Knowledge of handling data sets, data preprocessing, and data storage techniques.

Machine Learning Operations (MLOps) 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.

Machine Learning Operations (MLOps) 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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Machine Learning Operations (MLOps) Training FAQ's

Multisoft Virtual Academy offer a certification upon completion of the course, which can be beneficial for professional recognition and career advancement.

Yes, Multisoft Virtual Academy offer online MLOps courses that you can attend from anywhere, providing flexibility to fit your schedule.

MLOps training enhances your ability to deploy, monitor, and maintain machine learning models efficiently, increases collaboration among teams, and improves your skills in automation and best practices in machine learning operations.

Participants will learn about the lifecycle of machine learning models including development, deployment, and maintenance. The course covers model versioning, monitoring, automation with CI/CD pipelines, and the use of tools to enhance collaboration and efficiency.

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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