Master in Master MLOps and Take AI Beyond the LabIf you’re looking to learn how to build, deploy, automate, monitor, and manage Machine Learning and AI systems in production, enroll in our MLOps course in Kolkata. Combining Python, Machine Learning Engineering, DevOps, LLMOps, and more with guided projects, hands-on labs, and an end-to-end industry capstone, this program offers a complete learning experience.
Start your MLOps PRO training in Kolkata and aim for a successful career.
Webskitters Academy aligns its MLOps PRO training standards with globally recognized platforms and institutions.
By accessing this program, you gain access to instructor-led training, five guided projects, hands-on labs, and a final capstone. You also gain practical experience in deployment automation, ML pipelines, cloud infrastructure, monitoring, and modern AI engineering while developing a strong GitHub portfolio.
Are you a DevOps professional looking to learn about the ins and outs of AI infrastructure? A Data Scientist switching to a career in ML? A developer aiming to become a Machine Learning engineer?
If you are a Data Scientist, you can learn how to deploy, monitor, and maintain ML models beyond experimentation.
If you are a Machine Learning or AI engineer, you can build the right set of skills in ML pipelines, experiment tracking, model registries, and deployment.
If you are a DevOps or cloud engineer, you can apply infrastructure and automation skills to ML workloads and AI platforms.
If you are a Data Engineer, you can now learn how data validation, feature pipelines, and orchestration support production ML.
If you are a Python developer, you can extend your Python skills into ML application engineering, APIs, and deployment.
If you are a software or backend developer, you can gain knowledge about how to package, deploy, scale, and maintain ML applications.
If you are a technical graduate, you can now build practical MLOps skills with the required Python and ML foundation.
If you are a working professional, you can expand your capabilities in production ML, cloud engineering, and LLMOps.
If you are planning to move toward a technical career, you can now build a strong MLOps foundation with the required technical knowledge or bridge learning using this course.
From engineering and ML foundations to pipeline automation, production deployment, LLMOps, and an industry capstone, your learning journey covers everything to help you build a successful career in MLOps.
Enroll in our MLOps course in Kolkata and learn practical concepts, along with industry-relevant tools. Many organizations use these tools to support major business decisions, and they actually drive the desired results.
Understand MLOps fundamentals, the ML lifecycle, and the differences between MLOps, DevOps, and DataOps. Explore notebook-to-production challenges, development and production environments, MLOps maturity, industry roles and modern production architecture.
Revise supervised and unsupervised learning, data splitting, feature engineering, evaluation metrics, cross-validation and overfitting. Practice Scikit-learn workflows and learn how to serialize and package a baseline ML model.
Work with Git, branches, pull requests, and code reviews. Understand the challenges of data and model versioning, remote storage, collaboration and reproducibility, using tools such as GitHub and DVC.
Learn to track experiment parameters, metrics and artifacts, compare model runs, manage model versions, and maintain registries. Understand lineage, model promotion, governance and reproducibility using MLflow, with exposure to Weights & Biases.
Develop structured Python applications using modular programming, object-oriented concepts, project organization, and virtual environments. Learn dependency management, JSON/YAML configurations, environment variables, logging, exception handling, testing, code quality and REST API fundamentals.
Learn Linux commands, Bash, file permissions and process management alongside HTTP/HTTPS, DNS, ports and networking. Explore cloud computing, virtual machines, storage, IAM, and the fundamentals of AWS, Azure, and Google Cloud.
Explore ETL/ELT, batch and streaming data, data quality, schema validation, data contracts and feature pipelines. Gain introductory exposure to PySpark and Kafka while learning how to test and validate ML data workflows.
Understand DAGs, dependencies, scheduling, training pipelines, parameters, retries and failure handling. Learn how orchestration tools such as Airflow help automate and monitor repeatable ML workflows.
Understand MLOps fundamentals, the ML lifecycle, and the differences between MLOps, DevOps, and DataOps. Explore notebook-to-production challenges, development and production environments, MLOps maturity, industry roles and modern production architecture.
Develop structured Python applications using modular programming, object-oriented concepts, project organization, and virtual environments. Learn dependency management, JSON/YAML configurations, environment variables, logging, exception handling, testing, code quality and REST API fundamentals.
Revise supervised and unsupervised learning, data splitting, feature engineering, evaluation metrics, cross-validation and overfitting. Practice Scikit-learn workflows and learn how to serialize and package a baseline ML model.
Learn Linux commands, Bash, file permissions and process management alongside HTTP/HTTPS, DNS, ports and networking. Explore cloud computing, virtual machines, storage, IAM, and the fundamentals of AWS, Azure, and Google Cloud.
Work with Git, branches, pull requests, and code reviews. Understand the challenges of data and model versioning, remote storage, collaboration and reproducibility, using tools such as GitHub and DVC.
Explore ETL/ELT, batch and streaming data, data quality, schema validation, data contracts and feature pipelines. Gain introductory exposure to PySpark and Kafka while learning how to test and validate ML data workflows.
Learn to track experiment parameters, metrics and artifacts, compare model runs, manage model versions, and maintain registries. Understand lineage, model promotion, governance and reproducibility using MLflow, with exposure to Weights & Biases.
Understand DAGs, dependencies, scheduling, training pipelines, parameters, retries and failure handling. Learn how orchestration tools such as Airflow help automate and monitor repeatable ML workflows.
Salaries may vary depending on experience, technical skills, industry, and location.
₹6L - ₹10L / Year
$100K - $135K / Year
£55K - £70K / Year
C$85K - C$120K / Year
A$100K - A$140K / Year
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Read what our students say about their experience with us. We are really proud of creating a learning environment that helps people. Our goal is to support individuals in achieving their career goals through education and practical help.
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“I am glad that I took the decision of joining Advanced PHP and MVC (Laravel) online course at Webskitters Academy. I joined the course during the lockdown, to learn programming. However, it is turned out to be more than just a course. It became my passion. The tutors were so good and encouraging. I even got a good placement during the pandemic, just a few days after the completion of the course.”
“I am glad that I took the decision of joining Advanced PHP and MVC (Laravel) online course at Webskitters Academy. I joined the course during the lockdown, to learn programming. However, it is turned out to be more than just a course. It became my passion. The tutors were so good and encouraging. I even got a good placement during the pandemic, just a few days after the completion of the course.”
“I am glad that I took the decision of joining Advanced PHP and MVC (Laravel) online course at Webskitters Academy. I joined the course during the lockdown, to learn programming. However, it is turned out to be more than just a course. It became my passion. The tutors were so good and encouraging. I even got a good placement during the pandemic, just a few days after the completion of the course.”
“I am glad that I took the decision of joining Advanced PHP and MVC (Laravel) online course at Webskitters Academy. I joined the course during the lockdown, to learn programming. However, it is turned out to be more than just a course. It became my passion. The tutors were so good and encouraging. I even got a good placement during the pandemic, just a few days after the completion of the course.”
“I am glad that I took the decision of joining Advanced PHP and MVC (Laravel) online course at Webskitters Academy. I joined the course during the lockdown, to learn programming. However, it is turned out to be more than just a course. It became my passion. The tutors were so good and encouraging. I even got a good placement during the pandemic, just a few days after the completion of the course.”
“I am glad that I took the decision of joining Advanced PHP and MVC (Laravel) online course at Webskitters Academy. I joined the course during the lockdown, to learn programming. However, it is turned out to be more than just a course. It became my passion. The tutors were so good and encouraging. I even got a good placement during the pandemic, just a few days after the completion of the course.”
“I am glad that I took the decision of joining Advanced PHP and MVC (Laravel) online course at Webskitters Academy. I joined the course during the lockdown, to learn programming. However, it is turned out to be more than just a course. It became my passion. The tutors were so good and encouraging. I even got a good placement during the pandemic, just a few days after the completion of the course.”
“I am glad that I took the decision of joining Advanced PHP and MVC (Laravel) online course at Webskitters Academy. I joined the course during the lockdown, to learn programming. However, it is turned out to be more than just a course. It became my passion. The tutors were so good and encouraging. I even got a good placement during the pandemic, just a few days after the completion of the course.”
“We have had the privilege of hiring the best-trained candidates from Webskitters Academy. They were brilliant in technical expertise. The work process they followed, their core knowledge and the corporate ethics are exclusively what we expected. Thank you, Webskitters Academy, for offering such candidates our way.”
HR Executive
“We are happy with the quality of training that the Webskitters Academy students have received. Few of them have been on-board with us recently and they have impressed us. We would recommend our associates to hire freshers from this institute, they make sure that the students are well-trained and prepared for the industry.”
HR Executive
“We recently hired some certified tech candidates for varied job roles from Webskitters Academy. So far, it was the best decision we took. The candidates are skilled, learned, and willing to expand their knowledge base through continuous learning. We are open to collaborating with Webskitters Academy to access profound talents trained to confidently navigate the IT domain.”
HR Executive
“We have had the privilege of hiring the best-trained candidates from Webskitters Academy. They were brilliant in technical expertise. The work process they followed, their core knowledge and the corporate ethics are exclusively what we expected. Thank you, Webskitters Academy, for offering such candidates our way.”
HR Executive
“We are happy with the quality of training that the Webskitters Academy students have received. Few of them have been on-board with us recently and they have impressed us. We would recommend our associates to hire freshers from this institute, they make sure that the students are well-trained and prepared for the industry.”
HR Executive
“We recently hired some certified tech candidates for varied job roles from Webskitters Academy. So far, it was the best decision we took. The candidates are skilled, learned, and willing to expand their knowledge base through continuous learning. We are open to collaborating with Webskitters Academy to access profound talents trained to confidently navigate the IT domain.”
HR Executive
Over the years, we have established a fruitful network with 300+ IT companies and MNCs, and they have numerous positive reviews to contribute.
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