MLOPS Course Features



Live Virtual

Instructor Led Live Online


  • IABAC®  Global Certification
  • 5-Month | 350 Learning Hours
  • 100-Hour Live Online Training
  • 20 Capstone & 1 Client Project
  • 365 Days Flexi Pass + Cloud Lab
  • Internship +Job Assistance

Blended Learning

Self Learning + Live Mentoring


  • Self Learning + Live Mentoring
  • IABAC®  Global Certification
  • 1 Year Access To Elearning
  • 20 Capstone & 1 Client Project
  • Job Assistance
  • 24*7 Learner assistance and support


In - Person Classroom Training


  • IABAC®  Global Certification
  • 5-Month | 350 Learning Hours
  • 48-Hour Classroom Sessions
  • 20 Capstone & 1 Client Project
  • Cloud Lab Access
  • Internship +Job Assistance


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Why DataMites Infographic


1. MLOps Overview
2. Machine Learning Lifecycle
3. Challenges of Tradition Machine Learning lifecycle
4. MLOps as a solution.
5. MLOps Core Concepts
6. MLOps standards and principles

1. ML models in Production
2. MLOps Continuous Integration (CI)
3. MLOps Continuous Delivery (CD)
4. MLOps Continuous Training (CT)
5. Maturity levels, why is it important?
6. Various MLOps Maturity Levels
      • MLOps Maturity Level 0
      • MLOps Maturity Level 1
      • MLOps Maturity Level 2

1. MLOps Architecture
2. MLOps Platforms and Tools
3. Microsoft Azure ML Foundation

Complete Machine Learning Project using MLOps concepts
deployed at Azure ML and Azure DevOps.

MLOps Final Assessment Project



There has been tremendous growth in demand for data-related occupations in recent years. Machine learning and artificial intelligence-related job openings have increased by 74% year over year. People from many walks of life are attempting to break into the data sector. The majority of these people try to get a job in data science or analytics. In the data field, however, there are several lesser-known employment opportunities. 

Data science, DevOps, and data engineering all converge in MLOps.

Did you know that..

During the years 2021-2027, the global Machine Learning Operations (MLOps) market is projected to expand at a massive rate.

Machine Learning Operations (MLOps) provides a technical foundation for managing the machine learning lifecycle through automation and scalability, allowing firms to transcend several of the roadblocks on the route to AI with ROI. AI and machine learning projects should dictate your team's growth.

DataMites is on its way to becoming the most prestigious training institute in Bhubaneswar. DataMites offers both cost-effective and high-quality real-time training. We're ecstatic at DataMites to have surpassed the 50-thousand-learner mark. DataMites is accredited by IABAC- International Association of Business Analytics Certification, which has global recognition. We offer extensive data science and associated field training. The duration of our MLOps course in Bhubaneswar will be for 3 months.

We deliver MLOps Training in Bhubaneswar that has both online and classroom training and are offered in a three-phase active learning.

Phase 1 = It's an occasion to get ready for the upcoming course; candidates will be equipped with high quality self-study videos and books to ensure a thorough level of comprehension overall.

Phase 2 = The principal stage of Live Intensive training, which incorporates hands-on capstone projects and the IABAC MLOps Certification, which is a global certification.

Phase 3 = Constituting Projects, Internships, and a Job-Ready Program.

The international machine learning market is anticipated to rise at a compound annual growth rate (CAGR) of 44.1 percent from USD 1.41 billion in 2017 to USD 8.81 billion by 2022.

DataMites offers a variety of learning choices, including Exclusive MLOps Classroom Training, MLOps Online Training, and Outstanding Recorded Sessions. DataMites MLOps course fee in Bhubaneswar ranges from 32,000 INR to 35,000 INR, according to your selected learning method. You may always go to your chosen course's page to discover more about it as well as the course fee.

The DataMites MLOps Certification Courses in Bhubaneswar will provide insight on how and when to use MLOps tools and industry standards to implement, evaluate, monitor, and run production machine learning systems on Google Cloud. Machine Learning Engineers use a wide range of technologies to constantly develop and analyze their models. They work with Data Scientists to ensure that the best models are implemented quickly and with precision.

This course delves into machine learning and deep learning techniques, as well as developing DevOps knowledge.

You will be able to design a machine learning system from start to finish, starting with project scoping, data needs, modeling, and deployment, at the end of this programme.

  1. Construct pipelines to improve the model training process.
  2. To answer your business difficulties, use a variety of machine learning and deep learning methods.
  3. Distributed model training with Spark MLlib Deploy your machine learning models to production using CI/CD pipelines
  4. Monitor and visualize your system's performance.
  5. Learn how to use TensorFlow, Keras, Linux, Git, Python, Docker, Kubernetes, Graffana, Prometheus, and Jenkins in the real world.

Artificial Intelligence and Machine Learning will employ 2.3 million people by 2022, according to Gartner. The compensation of a Machine Learning Engineer and MLOps Engineer is much higher than that of other job categories.

DataMites offers MLOps training from subject matter specialists that are well-versed in their respective fields. Our main purpose is to mould and develop specialists that are fearless in the face of extremely competitive analytical complexity. Are you keen to know more about MLOps?

Bhubaneswar is already home to a slew of large corporations, making it a must-visit destination for IT and ITES firms. The health of the IT sector in Bhubaneswar appears to be strengthening.

The MLOps Engineer salary in India is 9,31,576 INR per annum. (Glassdoor.com). The salary for an ML Engineer in Bhubaneswar is 5,54,740 INR per year. (Indeed.com)

Some refer to MLOps as DevOps for Machine Learning because it properly applies DevOps methods to a more specific field of technical development. This is a useful way to think about MLOps because, like DevOps, it's all about knowledge sharing, collaboration, and best practices across teams and tools; MLOps provides a framework for developers, data scientists, and operations teams to collaborate and create the most effective machine learning models as a direct consequence.

If we are well enough in the field, we have the ability to harness it. Investing in DataMites MLOps training in Bhubaneswar is without a doubt the smartest decision you can make!

Highlights from DataMites:

  1. Expert Training - Elite Faculty with relevant research and coaching expertise Global Recognition - IABAC Accreditation.

  2. Comprehensive Instruction.

  3. Internships and real-time projects.

  4. 100% Job Preparation Assistance.

By optimizing the ML lifecycle to automate and scale ML efforts, MLOps creates a culture and environment where ML technologies can generate business benefits. Data scientists and services are combined in MLOps.

Why not enroll in our MLOps Certification Training in Bhubaneswar and get mastery of the Machine Learning domain?

Along with MLops, DataMites also provides data science, artificial intelligence, machine learning and python courses in Bhubaneswar.


Machine learning is a subset of artificial intelligence that emphasizes a machine's ability to imitate intelligent human behavior. Artificial intelligence systems are used to complete complex tasks in just the same way that humans solve problems. Machine learning is a technique of AI that can be harnessed in a multitude of ways.

The discipline of delivering machine learning (ML) models through repeatable and efficient workflows is known as machine learning operations (MLOps).

Machine Learning Operations (MLOps) is an acronym for Machine Learning Operations. MLOps is a basic component of Machine Learning engineering that focuses on optimizing the process of deploying machine learning models, as well as maintaining and monitoring them.

The cyclical process that data science initiatives follow is known as the machine learning life cycle. It lays out each step that a company should take to generate tangible economic value from machine learning and artificial intelligence (AI).

Machine Learning's Mechanisms Machine learning uses two techniques: supervised learning, which entails training a model on known input and output data to predict future outputs, and unsupervised learning, which involves identifying interrelationships and patterns in input data.

MLOps intends to fast scale up machine learning ML model delivery in order to obtain corporate insights from data. Many companies have created a new profession called ML engineer to assure MLOps performance. 

Machine Learning Operations (MLOps) provides a technical backbone for managing the machine learning lifecycle through automation and scalability, allowing businesses to overcome many of the hurdles on the path to AI with ROI. AI and machine learning projects should influence your company's destiny.

  • Obtaining information.

  • Analyze data.

  • Transformation and preparation of data.

  • Training and development model

  • Validation of the model

  • Serving as a model.

  • Observation of the model

  • Model retraining 

From model generation (software development lifecycle, continuous integration/continuous delivery), orchestration, and deployment, to health, diagnostics, governance, and business KPIs, MLOps covers the complete lifecycle. MLOps is a subset of ModelOps, according to Gartner.


An end-to-end enterprise-grade platform for managing the complete machine learning and deep learning product life-cycle for data scientists, data engineers, DevOps, and managers. Data science is democratized with this AI platform, which automates end-to-end machine learning at scale.

The purpose of an MLOps team is to automate machine learning model integration into the core software system or as a service component. This tends to require thoroughly automating the ML workflow without the need for human interaction.

DevOps is a set of methods aimed at shortening the development life cycle of a system and delivering high-quality software on a continuous basis. MLOps, on the other side, is the automated and commercialization of machine learning applications and workflows.

The success of ML model deployment in production is still strongly reliant on two crucial factors: code and data. Acknowledging the correlation between the two is fundamental.


Machine learning operations, or MLOps, is quickly becoming one of the most popular fields. Machine learning and artificial intelligence hiring has increased by 74% yearly over the last four years.

MLOps facilitates communication between all parties involved in the development of machine learning technology. As marketers, we can take some lessons from this and apply them to our own businesses. Clear norms and practices are beneficial to every firm. 

MLOps is an excellent job choice.  MLOps Engineer is a popular job role in terms of compensation, growth in listings, and overall demand. People with machine learning skills are in high demand and short supply, which helps to explain why these professions are so valuable.

In the field of machine learning, an MLOps engineer effectively performs the same duties as a DevOps engineer. Everything that happens after the machine learning model is developed is overseen by an MLOps engineer. They deploy the model, test it to ensure it is functioning properly, and optimize the code for minimal latency.

According to Gartner, the field of Artificial Intelligence and Machine Learning will employ 2.3 million people by 2022. A Machine Learning Engineer and MLOps Engineers remuneration is significantly greater than that of other job categories.

A Data Scientist is a business-focused scientist who uses Machine Learning algorithms to study, find, and solve problems within the firm. MLOps engineers use data engineering methodologies and devops tools to bridge the gap between testing and production in your company's software.


Learning MLOps is worthwhile. The significance of 'MLOps,' or what drives the development of this proposed method in today's era of Artificial Intelligence, can be seen in ML workflows that can consistently, cheaply, precisely, and even at scale repeat the outputs of the data scientist's algorithms and ML production.

Machine Learning topped LinkedIn's Emerging Jobs list, with a 9.8-fold increase in five years. MLOps is a skill that most people who want to work in the data sector have. Having technical expertise is a requisite for those wishing to acquire the MLOps Certification Training in Bhubaneswar.

The price of an MLOps course is determined by the level of training you require. Depending on which training provider you choose for your MLOps classroom training, however, prices range from 35,000 INR to 1,00,000 INR.

As per Glassdoor.com, The national average salary for a MLOps Engineer is INR 9,31,576 per year in India. 

The salary for an ML Engineer in Bhubaneswar is 5,54,740 INR per year. (Indeed.com)

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  • The International Association of Business Analytics Certification has approved DataMitesTM as a global institute for data science (IABAC).

  • In the courses we provide, we have over 25,000 students enrolled.

  • We offer a three-step learning process. Candidates will be given with self-study videos and books in Phase 1 to assist them in gaining adequate knowledge of the material. The primary phase of rigorous live online training is Phase 2. The projects and placements will be released in the third phase.

  • Throughout the programme, real-world projects and critical case studies are presented.

  • You will earn the IABAC certification, which is a global qualification, after completing the training.

  • After finishing your course, you will have the opportunity to intern at Rubix, a global technology business specializing in artificial intelligence.

Participants will learn about MLOps tools and best practices for deploying, assessing, analyzing, and running production machine learning systems on Google Cloud at the DataMites MLOps Certification Courses in Bhubaneswar

The MLOps Certification Training in Bhubaneswar will take place over the course of 3 months. On weekdays and weekends, training sessions are held. You may select any of them based on your availability.


At DataMites the MLOps Certification Fee in Bhubaneswar, is 32,000 that is available to you at just 25,000 INR.

  • The complete machine learning life cycle is effectively managed.

  • Professionals in the field of MLOps are in high demand.

  • There are numerous job opportunities available.

  • A steady job

  • High-Paying

Datamites does offer classroom training only in Bangalore, Chennai, Pune, Hyderabad and Kochi. For other locations we provide online training in MLOps. We would be happy to host one in additional areas based on the applicants' requests and the availability of other prospects in that specific location.

We are committed to providing you with certified and highly qualified trainers who have decades of industry experience and are well-versed in the subject matter.


Our Flexi-Pass for MLOps Certification Training in Bhubaneswar allows you to attend Datamites sessions for a period of three months to clarify any query or revision.


We'll give you an IABAC® certification, which means your talents will be recognised all around the world.

Of course, once you've completed your course, we'll provide you with a MLOps Course Completion Certificate.

Yes. Photo ID evidence, such as a National ID card or a driver's license, are necessary to issue the participation certificate and schedule the certification exam.

You don't have to be concerned about it. Simply contact your professors about it and arrange for a lesson that fits within your schedule. Each session of Online MLOps Training will be filmed and uploaded so you can easily learn what you missed at your own speed and in the comfort of your own home.


Yes, you will be given a free trial class to give you an idea of how the training will be conducted and what will be covered during the session.

Yes, we have a specialized Placement Assistance Team (PAT) that will assist you with job placement when the course is completed.

We provide a variety of learning alternatives, including live online, self-study, and classroom training. You have complete freedom to choose your preference.

Learning Through Case Study Approach

Theory → Hands-on → Case Study → Project → Model Deployment

Yes, of course, it is important that you make the most of your training sessions. You can of course ask for a support session if you need any further clarification.


We accept payment through;

  • Cash
  • Net Banking
  • Check
  • Debit Card
  • Credit Card
  • PayPal
  • Visa
  • Master card
  • American Express

The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -

  • 1. Job connect
  • 2. Resume Building
  • 3. Mock interview with industry experts
  • 4. Interview questions

The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.

No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.

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