🥅 Each of the hands-on sessions has an end goal, i.e. to build something 🛠️. It compliments the guided learning sessions, which cover a mix of need-to-know minimums across required skills.
A hands-on session typically involves the following, in sequence:
| 🏗 | developing the required modules that make up the solution, |
| 📦 | packaging the solution, |
| 🛳 | shipping the solution (for those not-ye familiar with the terminolody, this step refers to deployment), |
| 🚀 | launching it! |
Learn how to build, package, deploy and serve machine learning (ML) models on the cloud. During this session, you will first deploy a simple “pickled” model, followed by a more involved Hugging Face Transformers-based model. ...
Learn how to build and deploy a semantic search engine, first for text documents and later for images. This series of hands-on sessions will touch upon Python programming, need-to-know concepts about embeddings, vector DBs, machine learning, and cloud deployment. ...
Learn how to build a YouTube video summarizer and host it on a website. This series of hands-on sessions will touch upon Python programming, need-to-know concepts about data engineering, machine learning, serverless computing, cost estimation, and cloud deployment. Delivery Mode Online & In Person Duration 3 - 4 hours Prerequisites Containerization 101, Serverless Computing What Will Be Covered In this series of 3-4 sessions, you will build a web-based application in which users can indicate the URL of a YouTube video and, a few seconds later, get a summary of the key points mentioned in that video....