Learn Mlops From Masters Of Technology | LwIndia

1. WHY EVERY TECHNOLOGY STUDENT NEEDS TO LEARN MLOPS 1

2. INTRODUCTION We live in a world where the digital world has widened and incorporated almost all actual-world elements. Businesses and industries are going through intense digital transformations. Data has become the focal point of all businesses wanting to grow and flourish in the current times. MLOps is a new age technology that holds immense importance in the data science and technology fields. Before elaborating on why tech students must learn MLOps, let’s have a brief look at what MLOps is. 2

3. WHAT IS MLOPS? Simply put, MLOps is when DevOps is applied to machine learning. MLOps can be looked upon as the communication between data scientists and the production or operations team of an organisation or business. Collaborative in nature, MLOps is designated for eliminating unnecessary functions or waste and automate processes as much as possible that helps in producing consistent and richer business or organizational insights using machine learning. MLOps can be a renegade solution for businesses by bringing business interests back to your ML operations forefront. MLOps helps Data Scientists work keeping in mind the organization’s interests with a clear direction and easily measurable benchmarks. 3

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5. WHY DO TECHNOLOGY STUDENTS NEED TO LEARN MLOPS? MlOps is the data science of the future. Surveys show that next generations jobs would be for tech-individuals primarily focussed on and through with MLOps. MLOps is the data science that is today required by almost every industry. Individuals knowing how to develop and create MLOps platforms will be in demand and rarely out of jobs! MLOps engineers are high in demand in the current world. As more and more businesses integrate machine learning & AI in their business workings, the market for MLOps engineers is increasing. Many software engineers today are branching out to understand this new technology. As technologies will advance, there will be less need for research in development teams and more focus on actual machine learning results. MLops engineers will be high in demand in the years to come and have high pay packages. 5

6. THANK YOU 6