By the end of this course, a learner will master Databricks to perform data engineering and data analytics tasks for data science workflows. Additionally, a student will learn to master running local large language models like Mixtral via Hugging Face Candle and Mozilla llamafile.
ND
Great learning resources that will be useful long after completing the course, concise presentations, and clear explanations of all topics
Showing: 2 of 2
The title vs. the Module expectations vs. the content were completely divergent. When did Rust and AWS get into content on Databricks and Local LLMs. And none of the materials discussed who to connect these two. It was just randomly two topics. The whole module on ethics was a waste of time. Could have better labs with more Databricks hands on. State in the pre-reqs that we need to have premium access to Databricks and there is no mention that I could have used the $200 free trial credit to test out Azure Databricks.
Great learning resources that will be useful long after completing the course, concise presentations, and clear explanations of all topics