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Are you a business professional looking to harness the power of machine learning but unsure how to implement it effectively in your organisation? Do you challenges with long deployment times, inefficiencies, or inconsistent results when working with machine learning models? Our “Introduction to MLOps” training is designed to help you bridge the gap between innovative data science projects and successful business outcomes.
Discover how MLOps can enhance your business with our ‘Introduction to MLOps’ training for business professionals. Learn how machine learning operations drive business value and innovation
The Role of MLOps in Business
How MLOps supports the operationalisation of machine learning in business settings.
Key Components of MLOps
A high-level understanding of how MLOps automates and manages ML models without delving into technical details.
Business Advantages of MLOps
MLOps for improving decision-making, reducing operational costs, and driving innovation.
MLOps in Action
Real-world business case studies on how companies are using MLOps to stay competitive.
Our training is customised to your specific context and held in-house at your premises to guarantee that you get the best possible outcome.
The Introduction to MLOps training plan is designed for a broad audience. It is suited best for business professionals from all functions and industries. No prior knowledge in computer science or AI is required:
We have successfully run the program for Finance, Accounting, Marketing, Communications, Sales, Research & Development and Supply Chain departments. Further, we were able to apply this format to the Pharmaceutical, Healthcare, Finance, Chemical, Logistics, Retail and Manufacturing industry.
The course combines theory with practice, including lectures, discussions, and interactive elements. Lectures provide in-depth knowledge, which is deepened and critically reflected upon in discussions. Practical exercises ensure immediate application and consolidation of what has been learned. Finally, the development and discussion of a specific use case enables the integration and application of the acquired knowledge in a realistic context.
The power to change anything.
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