Why enroll for Machine Learning Operations Certification Course?
Global MLOps market is expected to reach $75.42 billion by 2033 from $2.08 billion in 2024 at a CAGR of 43.2% - Market.us
Large enterprises dominate the MLOps market, possessing a significant 71% share in the year 2023 - Market.us
The average salary for MLOps Engineer is $1,76,248 per year in the United States with a $38,892 cash bonus per year - Glassdoor
MLOps Course Benefits
The demand for MLOps engineers is rising across geographies due to the widespread adoption of AI and ML across industries and a recent report projected that the market will grow at a CAGR of 43.2% for the ensuing decade. You will acquire the knowledge to efficiently deploy, monitor, and manage machine learning models, along with practical experience in real-world scenarios, to be ready to navigate the intricacies of MLOps and progress in your professional career within the continuously changing technological environment.
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Why Machine Learning Operations Certification Course from edureka
Live Interactive Learning
World-Class Instructors
Expert-Led Mentoring Sessions
Instant doubt clearing
Lifetime Access
Course Access Never Expires
Free Access to Future Updates
Unlimited Access to Course Content
24x7 Support
One-On-One Learning Assistance
Help Desk Support
Resolve Doubts in Real-time
Hands-On Project Based Learning
Industry-Relevant Projects
Course Demo Dataset & Files
Quizzes & Assignments
Industry Recognised Certification
Edureka Training Certificate
Graded Performance Certificate
Certificate of Completion
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About your Machine Learning Operations Certification Course
Creating, Training, and Deploying ML Models with Sagemaker
Setting up Endpoints and Endpoint Configurations
Executing Inference from Deployed Models
Exploring SageMaker Studio & Domain Features
Introduction to SageMaker Projects
Understanding Repositories in SageMaker
Utilizing Pipelines and Graphs in SageMaker
Conducting Experiments with SageMaker
Managing Model Groups in SageMaker
Configuring Endpoints in SageMaker
Introduction to Azure Machine Learning Studio
Exploring Azure MLOps
Understanding Azure ML Components
Integration of Azure MLOps with DevOps
Setting up Fully Automated End-to-End CI/CD ML Pipelines
Hands-On:
Building an end-to-end MLOps pipeline using AWS SageMaker
Skills
Using Amazon SageMaker for ML development and deployment
Management of ML Models and Experiments using Azure Machine Learning
ML Model Post Deployment Challenges (Self-paced)
8 Topics
Topics:
Ensuring Model Integrity
Counteracting Adversarial Attacks
Guarding Against Data Poisoning
Preventing Distributed Denial of Service (DDOS)
Safeguarding Data Privacy
Strategies for Mitigating Model Attack Risks
Implementing A/B Testing Methodologies
Outlook on the Future of MLOps
Hands-On:
Implementing A/B Testing Methodologies
Skills
Implementation of A/B testing methodologies for model evaluation
Strategies for Ensuring model Integrity and Security
Course Details
About the MLOPS Course
This course offers a comprehensive introduction to MLOps, focusing on the effective deployment and management of machine learning models in production. It covers the entire ML lifecycle, including data preparation, model development, deployment, monitoring, and retraining. Students get hands-on experience with essential MLOps tools and frameworks such as LangChain, CrewAI, AutoGen, and retrieval-augmented generation (RAG), alongside core technologies like MLflow, Kubernetes, Docker, and cloud platforms, enabling them to build scalable, automated workflows that bridge data science and operations.
Key features:
Cloud-ready, practical, and hands-on training
Real-world projects for deploying and managing ML models at scale
Training on industry-standard MLOps tools and platforms
Focus on automating the ML lifecycle using best DevOps practices
Lifetime access to course materials and 24/7 technical support
Who should take up this Course?
This course is well-suited for programmers, developers, data analysts, statisticians, data scientists, and software engineers.
What are the prerequisites for this certification Course?
To excel in MLOps, you need Python skills, ML algorithm knowledge, experience with Docker, Kubernetes, and cloud platforms. A laptop with at least 8GB RAM, Intel i3+ processor, and stable internet is also required.
How will I execute the practicals in this course?
Practicals for this course will be implemented using various tools and detailed step-by-step installation guidesfor these tools are available on the LMS. In case you come across any doubt, the 24*7 support teams will promptly assist you.
What is this MLOps Certification Course?
A professional training course that teaches end-to-end MLOps such as development, deployment, monitoring, and operations, using key tools and techniques in line with industry standards.
Is this course interactive and project-based?
Yes, It includes live classes, hands-on labs, quizzes, and end-to-end real-world projects.
Which cloud platforms and tools are covered?
This training course covers AWS SageMaker, Azure ML, Google Cloud Platform, MLflow, Docker, Kubernetes, Jenkins, and more with AI tools.
Projects
Automated Model Deployment and Scaling
Design an MLOps pipeline with the purpose of automating the deployment and scaling of machine learning models to accommodate varying workloads is crucial. The primary objective o....
Dynamic Model Monitoring
Develop a framework for MLOps to ensure ongoing monitoring and updating of machine learning models using real-time data streams. The aim is to identify any deterioration, deviati....
Certification
To unlock the Edurekaโs MLOps Certification Training Course, you must ensure the following:
Completely participate in this MLOps Certification Training Course
Evaluation and completion of the quizzes and projects listed
MLOps certifications serve as proof of your expertise in deploying and managing machine learning models effectively. They enhance your career prospects by making you a sought-after candidate in a competitive job market. Certified professionals contribute to smoother ML model deployment, monitoring, and maintenance, improving overall operational efficiency. Additionally, these certifications promote better collaboration among data scientists, DevOps teams, and stakeholders by aligning everyone with MLOps best practices.
After obtaining certification in MLOps, you may be qualified for a range of job roles. Some of the more specific job roles you may be qualified for include:
MLOps Engineer
MLOps Lead
Devops & ML Engineer
Associate Architect - MLOps
MLOps Consultant
You will earn a Course Completion Certificate from Edureka, validating your expertise in MLOps practices.
Yes, Edurekaโs MLOps certificate is valued by companies globally due to the project-oriented and cloud-integrated training.
John Doe
Title
with Grade X
XYZ123431st Jul 2024
The Certificate ID can be verified at www.edureka.co/verify to check the authenticity of this certificate
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Vijay KalkundriPrincipal Engineer at Reflektion, former Senior Test Engineer at Nokia
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I had a great experience in taking the Hadoop course from Edureka. It is the only course in the market which facilitates the people from the Non development background to plug themselves into the Hadoop ecosystem. Edureka has provided a unique opportunity for the students around the world to connect to some of the best tutors. The tutors not only provide a very good theoretical explanation , but also help us to co-relate it with some real time examples. This gives a edge to the students and the working professional who attend the course.The best advantage of the Edureka course is the fact that we can attend the course from the comfort of our home as well as download the courses and listen to it over again and again. I am sure that Edureka will be playing a key role in filling the Gap of the Professionals which the Cloud ecosystem is currently facing. Cheers,Vijay Kalkundri - Good Session and one of the best instructor to have interfaced with at online.
December 09, 2017
Venkateswarlu ponnaAgile Test Lead (UAT)
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Edureka is Best Online training in throughout my career (11 years). I subscribed for DevOps and course is well organized and will get hands by just following PPT, Videos and Lab exercises (Before they launch any course they do lot of home work). Best thing about Edureka is when you stuck while doing Lab exercises just mail to support team, they will call and guide to solve it for sure. It has excellent trainers and support team with 24x7 support.
December 09, 2017
Souvik KunduLearning to code the web, big data & cloud computing. Aspiring Developer
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I'm currently enrolled in a lot of courses offered at Edureka, so I'm attending live classes and using their study materials, course projects, have access to support staff and teachers. I can confidently say Edureka staff is very hard working and committed to help students which is reliable. Course instructors are experienced candidates from industry who know what they are teaching. Course materials are pretty comprehensive and students need to work very hard to finish course projects, pass the project interviews and gain certification. I say, it is worth it.
December 09, 2017
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Sujit SamalTechnical Lead, Wipro
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I have been an Edureka!'s happy customer since 2013. I am a customer of Edureka enrolled for Big data developer, Hadoop Administration, AWS Architect Certification Training and PMP Exam Preparation course. I have received Outstanding support" from Edureka 24/7 team along with Sales/support team for all course. The trainers are excellent. Edureka LMS is very well organized and well structured. In LMS you will find each bit of information starting from installation, very good training materials, recording, interview blogs,assignments, quiz and much more supporting materials. It is wonderful online learning platform i have ever seen. Thanks to edureka and team to for such a quick and informative approach for queries which i had put to clear my doubts.Overall a 5 star i give for overwhelming satisfaction from course. Thanks for the wonderful learning experience!"
December 09, 2017
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Tanmoy Kar
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The online course delivered by Edureka on big data, Hadoop - developer is really nice. The first thing of Edureka is that, the very first day of your registration, you have access the full tutorial ( record of some previous batch) and which will provide enough knowledge/teaching, so whenever you are attending your actual training session, you are not a fresher of the session, but a kind, expert and you can clear any knowledge gap.More of that, as you are getting 2 lectures for the same session, your knowledge is much more, than you would have expected. As these recording will be available you for ever, you always go again and again and again.The help/administration/support is really really good.For Hadoop big Data developer, I will recommend to join.Thanks
December 09, 2017
GopinathSAP Architect Consultant, IBM India Pvt Ltd, Bengaluru, Karnataka, India
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I attended the demo session without any intention of joining a course. But the demo class was so impressive that I changed my mind to take a class with edureka. In the demo class the edureka! team making their word true with assisting doubts as well as teaching good. It's the best place to learn Andorid with 24*7 post class support from technical experts and at a affordable cost. Thank You Team edureka!
December 09, 2017
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FAQs
What is MLOps?
MLOps, or Machine Learning Operations, is a set of practices designed to streamline the development, deployment, and maintenance of machine learning models, much like DevOps but tailored specifically for ML workflows.
Is this course suitable for working professionals?
ML Engineers focus on building models, while MLOps Engineers deploy and maintain them in production using DevOps practices.
Will I get placement assistance after completing this MLOps Training?
No, we do not provide placement assistance. The focus is on providing in-depth knowledge and hands-on skills to help you advance your career independently.
Who are the instructors for MLOps Course?
All the instructors at edureka are practitioners from the Industry with minimum 10-12 yrs of relevant IT experience.
What if I have more queries after completion of MLOps Course?
Just give us a CALL at +91 98702 76459/1844 230 6365 (US Tollfree Number) OR email at sales@edureka.co.
What if I miss a class ?
You can easily catch up on missed lectures through recorded sessions in your LMS or by joining a live session in another batch.
What skills do I need to learn for MLOps?โ
You need strong programming skills, proficiency in infrastructure as code, an understanding of cloud services, and knowledge of machine learning concepts and frameworks to learn MLOps.
Why MLOps is Important?
Bridges the gap between data science and software engineering for faster and more reliable ML deployments.
Improves model performance and ensures higher reliability in production.
Automates and streamlines the ML lifecycle, enhancing efficiency and scalability.
What will be the mode and duration of this training?
We only offer live online training on weekends for a course duration of 5.5 weeks.
Does MLOps require coding?
Yes, MLOps generally requires coding knowledge because developers need it for MLOps to deploy models in production environments.
What is the cost of MLOps course in India?
The cost of the MLOps certification course in India is INR 21,999
Is MLOps better than DevOps?
MLOps focuses on automating machine learning tasks such as model training, while DevOps focuses on traditional software development tasks such as code deployment and builds.
What language is best for MLOps?
Python is the best language for MLOps
What is the significance of MLOps in the machine learning lifecycle?
The importance of MLOps in machine learning is to ensure faster deployment and easier troubleshooting.
What is the role of MLOps engineer?
They deploy, manage, and optimize machine learning models in production environments to ensure smooth integration and efficient operations.
What is the salary of MLOps analyst?
According to Glassdoor, the average salary for MLOps Engineer/Analyst is โน11,64,260 per year in India.
Does MLOps have a future?
MLOps is a powerful and essential approach shaping the future of Machine Learning, and it's one of the most in-demand and rewarding skills to learn in 2024. With AI and ML being adopted across industries, MLOps roles are growing rapidly, offering strong career growth and competitive salaries from both a technical and business perspective.
What are the differences between DevOps and MLOps?
Both MLOps and DevOps are different. MLOps is based on Machine Learning While DevOps is based on development. In DevOps tools like Jenkins, GitLab CI, and Travis CI are used. In MLOps tools like MLflow, Weights & Biases are used.
What is the salary of MLOps in India?
MLOps Engineer salaries in India range from โน6โ10 LPA for entry-level, โน10โ20 LPA for 2โ5 years of experience, and โน20โ35+ LPA for senior roles with strong cloud and CI/CD skills.
How long does it take to learn MLOps?
This course takes 5.5 Weeks to complete.
Who earns more, MLOps or data engineer?
In data science and machine learning, MLOps engineers typically earn more than data engineers due to their specialized skills in model deployment, automation, and cloud-based CI/CD pipelines.
Can beginners join this MLOps course?
Yes, If you have a basic background in Python and ML concepts, you can start this course
Do I need to know Docker and Kubernetes for MLOps?
Yes, basic knowledge of Docker and Kubernetes is important as theyโre core tools for model deployment.