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OUR MLOPS TRAINERS!

Tan Eng Joo is a leading MLops trainer in Singapore, helping to build a strong pipeline of skilled professionals in the field. With over 15 years of experience in machine learning and software engineering, Anderson's team provides training on a wide range of MLops topics, including model development, deployment, and monitoring.

Rajesh Kumar is a distinguished leader in the field of Machine Learning Operations (MLOps), celebrated for his role in guiding a team of accomplished MLOps trainers in Singapore. With a career spanning several decades, Thomas has cultivated extensive experience dedicated to the seamless deployment and management of machine learning models.

Tan Tock Seng is a leading MLops Trainer in Singapore. She has over 10 years of experience in the field of machine learning and has worked with some of the largest companies in the country. She is passionate about helping businesses to adopt MLops practices and to get the most out of their data.


Atul Rai
Tharman

        

Tharman Shanmugaratnam is a revered leader in the domain of Machine Learning Operations (MLOps), celebrated for his pivotal role in guiding a team of accomplished MLOps trainers in Singapore. With a career spanning several decades, Peter has amassed a wealth of experience dedicated to the efficient deployment and management of machine learning models.

Atul Rai
Felix Lim

        

Felix Lim is a leading MLops Trainer in Singapore. He has over 5 years of experience in the field of machine learning and has worked with some of the largest companies in the country. He is passionate about helping businesses to adopt MLops practices and to get the most out of their data.




Atul Rai
Eric Ng

        

Eric Ng is a revered leader in the realm of Machine Learning Operations (MLOps), celebrated for his instrumental role in guiding a team of accomplished MLOps trainers in Singapore. With a career spanning several decades, Michael has accumulated a wealth of experience dedicated to the efficient deployment and management of machine learning models.


Derrick Lim is a leading MLops Trainer in Singapore. He has over 10 years of experience in the field of machine learning and has worked with some of the largest companies in the country. He is passionate about helping businesses to adopt MLops practices and to get the most out of their data.

Atul Rai
Bernard Ng

        

Bernard Ng is an esteemed leader in the domain of Machine Learning Operations (MLOps), celebrated for her pivotal role in guiding a team of accomplished MLOps trainers in Singapore. With a career spanning several decades, Jane has cultivated a wealth of experience dedicated to the efficient deployment.

Lee Kuan Yew is a leading MLops Trainer in Singapore. He has over 7 years of experience in the field of data science and machine learning, and has worked with some of the largest companies in the country. He is passionate about helping businesses to adopt MLops practices and to get the most out of their data.

Atul Rai
Gilbert Ng

        

Gilbert Ng stands as a prominent leader in the realm of Machine Learning Operations (MLOps), celebrated for his instrumental role in guiding a team of accomplished MLOps trainers in Singapore. With a career spanning decades, David has accumulated a wealth of experience dedicated to the seamless deployment and management of machine learning models.

Atul Rai
Henry Lim

        

Henry Lim is one of the leading MLops Trainers in Singapore. He has over 10 years of experience in the field of machine learning and data science, and has worked with some of the largest companies in the country. He is passionate about helping businesses to adopt MLops practices and to get the most out of their data.



Lee Hsien Loong is an esteemed luminary in the field of Machine Learning Operations (MLOps), celebrated as the visionary leader guiding a distinguished team of MLOps trainers in Singapore. With a career spanning decades, Charles has cultivated a profound reservoir of experience dedicated to the seamless deployment and management of machine learning models.