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Mammoth Club All levels 1 sections 6 lectures

Exam 6 - Databricks Certified Generative AI Engineer Associate

Test your knowledge (with 45+ questions and unlimited attempts!) on Application Development: Select the best LLM based on the attributes of the application to be developed, select embedding model context length based on documents, queries and optimization, select a model from hub or marketplace for a task based on metadata or cards, select the best model for a given task based on common metrics generated in experiments, create a prompt that adjusts an LLM's response from a baseline to a desired output, utilize Agent Framework for developing agentic systems.

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
Select the best LLM based on the attributes of the application to be developed Locked
Select embedding model context length based on documents, queries and optimization Locked
Select a model from hub or marketplace for a task based on metadata or cards Locked
Select the best model for a given task based on common metrics generated in experiments Locked
Create a prompt that adjusts an LLM's response from a baseline to a desired output Locked
Utilize Agent Framework for developing agentic systems 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 Application Development: Select the best LLM based on the attributes of the application to be developed, select embedding model context length based on documents, queries and optimization, select a model from hub or marketplace for a task based on metadata or cards, select the best model for a given task based on common metrics generated in experiments, create a prompt that adjusts an LLM's response from a baseline to a desired output, utilize Agent Framework for developing agentic systems.

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