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Mammoth Club All levels 1 sections 6 lectures

Exam 7 - Databricks Certified Generative AI Engineer Associate

Test your knowledge (with 45+ questions and unlimited attempts!) on Assembling and Deploying Apps: Code a chain using a pyfunc model with pre- and post-processing, control access to resources from model serving endpoints, code a simple chain according to requirements, code a simple chain using LangChain, choose RAG app elements: flavor, embedding model, retriever, dependencies, examples, signature, register the model to Unity Catalog using MLflow.

01
Skill level
All levels
02
Sections
1
03
Lectures
6
04
Instructor
Alex Kropf
What's inside

This course includes.

1
Sections
6
Lectures
6
Quizzes
Certificate of completion
Included
Mobile and desktop access
Included
AI learning assistance
Included
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Course content

Curriculum & lectures.

1 sections · 6 lectures
+ Exam 6 lectures
Code a chain using a pyfunc model with pre- and post-processing Locked
Control access to resources from model serving endpoints Locked
Code a simple chain according to requirements Locked
Code a simple chain using langchain Locked
Choose RAG app elements: flavor, embedding model, retriever, dependencies, examples, signature Locked
Register the model to Unity Catalog using MLflow Locked
Instructors

Taught by people who ship.

Alex Kropf

Alex Kropf

Instructor

Alex Kropf is Mammoth Club's CLO, public speaker, consultant, IT author and Senior Software Developer. Alex has produced 1,000+ best-selling courses, books and workshops for Mammoth Club, Course Pro and our clients since 2016.

Ready to start building?

Test your knowledge (with 45+ questions and unlimited attempts!) on Assembling and Deploying Apps: Code a chain using a pyfunc model with pre- and post-processing, control access to resources from model serving endpoints, code a simple chain according to requirements, code a simple chain using LangChain, choose RAG app elements: flavor, embedding model, retriever, dependencies, examples, signature, register the model to Unity Catalog using MLflow.

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