igmGuru's Machine Learning Operations or MLOps Training online program sets the benchmark for the industry. Machine Learning Operations or MLOps is a set of practices and tools that enable collaboration and communication between data scientists and operations teams in the deployment and management of ML models. MLOps Course Online Program incorporates the latest syllabus to cater to the needs of multiple industries across the world.
The MLOps Certification course has been formulated using the rich experience and expertise of industry captains. MLOps or Machine Learning Operations, is a set of practices and tools that enable collaboration and communication between data scientists and operations teams in the deployment and management of machine learning models.
What We Cover?
As artificial intelligence (AI) takes the world by storm, the importance of MLOps has reached an unprecedented height. The engineering discipline, which offers a common platform for data scientists and operations professionals to collaborate and communicate, has been creating quite a buzz over the last couple of years.
MLOps combines a series of functions for businesses to leverage AI successfully as it not only takes machine learning models to production but even maintains them and keeps a thorough check. It delivers production goals by combining ML system development and deployment, data science, and data engineering.
Essentially, MLOps production is machine learning. With digital evolution gaining pace, an increasing number of businesses are discovering that the services of data scientists alone may not yield the desired results in production. MLOps Course essentially closes this gap between data science and production. Its helps boost the pace of model development, which then streamlines and smoothens the production process.
Objectives
igmGuru’s MLOps training aims to train individuals to create machine learning models, deploy them in production and scale it for wider use. The training upskills individuals to use different tools and methodologies to produce machine learning effectively.
This MLOps course offers the much-needed exposure to MLOps essentials to help you acquire subject expertise, which goes a long way in ensuring a fruitful career in AI.
Eligibility
Since MLOps is a considered the junction of Data Science and DevOps, the course is a boon to individuals with insights of ML models, who now want to learn to create complete ML pipelines. Data scientists willing to hone their skills to leverage their talent in ML operations will also benefit highly from this course.
In the recent past, data science has emerged as a high-paying career option with the demand for such professionals going through the roof. But as already mentioned, the need for production is data science and machine learning has shifted focus to MLOps experts.
Not only the demand, but even the average pay scale of MLOps professionals isn’t too far behind that of data scientists. Talent acquisition teams at all major businesses across the world are in search of professionals with the knowledge to put ML models into production.
Considering that opportunities in the MLOps sector – unlike data science – are yet to hit the saturation point, the room for professional growth here is vast. MLOps knowledge opens multiple doors for collaboration with data processing teams as well as for analytics professionals and IT engineers.
The course also helps you fast-track model development and deployment aided by monitoring, validation, and management systems for ML models.
What Will You Learn?
igmGuru’s MLOps online course helps individuals gather a wide range of expertise to boost their careers in ML. It lets them learn the tricks of the trade like how to move to the cloud, creating and managing ML pipelines, scaling, and dealing with sensitive data at scale, to name a few.
Additionally, this online MLOps course also covers specific tools and technologies used in MLOps such as Kubernetes, Docker, Git, and Jenkins.
How to become MLOps professional in 2024?
There are several organizations that offer certifications for MLOps professionals, including:
These certifications often require passing a multiple-choice exam and may have prerequisites such as a certain level of experience or passing a different certification. Be sure to check the specific requirements and format of the exam with the certifying organization.
While having an MLOps certification is not compulsory, it validates your proficiency in deploying and managing machine learning operations that further showcase expertise.
To become a MLOps engineer, develop a strong foundation in machine learning, software engineering, and DevOps principles. Learn programming languages, version control systems, and cloud platforms. Familiarize yourself with MLOps tools like Docker, Kubernetes, and Jenkins. Gain practical experience by working on ML projects and stay updated with industry trends. Obtain relevant certifications and actively participate in MLOps communities. Continuously refine your skills, adapt to new technologies, and cultivate a problem-solving mindset. These steps will help you pave your way to becoming a proficient MLOps engineer.
Yes, MLOps require coding. If you wish to become an MLOps engineer, then you must have coding knowledge and a good working experience in the field.
To know the cost of MLOps course in India, go to https://www.igmguru.com/machine-learning-ai/mlops-course-certification/#trainingOptions. You can also get in touch with us to know more about any running offers to get the best price.
In certain aspects, MLOps is certainly better than DevOps. For instance, MLOps is faster. Since it comes with a machine learning model, highly accurate predictions are produced in a short span of time.
Google
