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Mammoth Club All levels 1 sections 5 lectures

Exam 9 - Databricks Certified Generative AI Engineer Associate

Test your knowledge (with 45+ questions and unlimited attempts!) on governance: Use masking techniques as guardrails to meet a performance objective, select guardrail techniques to protect against malicious user inputs to a Gen AI application, recommend an alternative for problematic text mitigation in a data source feeding a RAG application, use legal and licensing requirements for data sources to avoid legal risk, recommend alternatives for problematic text mitigation in a data source feeding a GenAI application.

01
Skill level
All levels
02
Sections
1
03
Lectures
5
04
Instructor
Alex Kropf
What's inside

This course includes.

1
Sections
5
Lectures
5
Quizzes
Certificate of completion
Included
Mobile and desktop access
Included
AI learning assistance
Included
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Course content

Curriculum & lectures.

1 sections · 5 lectures
+ Exam 5 lectures
Use masking techniques as guard rails to meet a performance objective Locked
Select guardrail techniques to protect against malicious user inputs to a Gen AI application Locked
Recommend an alternative for problematic text mitigation in a data source feeding a RAG application Locked
Use legal and licensing requirements for data sources to avoid legal risk Locked
Recommend alternatives for problematic text mitigation in a data source feeding a GenAI application 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 governance: Use masking techniques as guardrails to meet a performance objective, select guardrail techniques to protect against malicious user inputs to a Gen AI application, recommend an alternative for problematic text mitigation in a data source feeding a RAG application, use legal and licensing requirements for data sources to avoid legal risk, recommend alternatives for problematic text mitigation in a data source feeding a GenAI application.

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