Meetup #91

Complete MLOps Pipeline from Scratch to Advance

We're going to learn Machine learning and DevOps to train the Fashion MNIST model and achieve the best-desired accuracy. We're not going to manually retrain the model by manually adjusting hyperparameters or kernels. We will use DevOps to automate the process using tools like Github, Docker, and Jenkins. Keep yourself motivated and excited.🎉


- You will earn real-world Use-Case solving skills. - MLOps pipeline from scratch

In this episode

Rohit Ghumare

Rohit Ghumare

NLP Engineer, Reverie Language Technologies Pvt Ltd

Being a Software Engineer and Dealing with the NLP models daily is gratification, Rohit currently works on Language models and R&D for speech future in India. Rohit is skilled in Python (Programming Language), Machine Learning, Deep Learning, Artificial Intelligence, DevOps, Hybrid and Multi-Cloud, Terraform, Docker, Java, HTML, and Situational Leadership.



Demetrios Brinkmann

Demetrios Brinkmann


Demetrios is one of the main organizers of the MLOps community and currently resides in a small town outside Frankfurt, Germany. He is an avid traveller who taught English as a second language to see the world and learn about new cultures. Demetrios fell into the Machine Learning Operations world, and since, has interviewed the leading names around MLOps, Data Science, and ML. Since diving into the nitty-gritty of Machine Learning Operations he felt a strong calling to explore the ethical issues surrounding ML. When he is not conducting interviews you can find him making stone stacking with his daughter in the woods or playing the ukulele by the campfire.