In the not-too-distant past, data scientists worked in silos, doing their work on desktops and sharing Python and R scripts with their peers. Now, they have tools like Watson Studio and Jupyter Notebooks that make collaboration easier online.

While it is easy to share code and dashboards with technical and non-technical folks, it is still difficult to deploy your amazing models such that others can use them hassle-free. Even after you have deployed a model, you also need to monitor it closely and re-deploy new, improved models over time.

Join IBM Developer SF in this hands-on workshop and successfully create, store, and deploy a Machine Learning Model on IBM Cloud using Watson Studio and Watson Machine Learning Services -- all within an hour. Don't forget to bring your laptops!

Curious minds! Bring your laptop, and the rest happens on the cloud!

- Data scientists who understand various models and hyper-parameters, as well as those who are looking for ways to share their model deployments and monitor/improve them over time

- Software developers who are looking to dip their feet into Machine Learning or want to create models for their applications

- Data Science beginners who want to create their first model!

Upkar Lidder is a Full Stack Developer and Data Wrangler with a decade of development experience in a variety of roles. He can be seen speaking at various conferences and participating in local tech groups and meetups. Upkar went to graduate school in Canada and currently resides in the United States.

Online Meetup: Build, Deploy, and Monitor a Machine Learning Model on the Cloud