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Mammoth Club All levels 1 sections 6 lectures

Exam 2 - NVIDIA-Certified Associate: Generative AI Multimodal (NCA-GENM)

Design statistical analysis for evaluating multimodal pipelines Multimodal-specific transfer learning Familiarity with emerging multimodal trends and technologies Design, development, and deployment of energy-efficient and trustworthy multimodal AI models Use prompt engineering principles to create prompts to achieve desired results Understand deep learning frameworks such as TensorFlow or PyTorch

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
+ Core Machine Learning and AI Knowledge 6 lectures
Design statistical analysis for evaluating multimodal pipelines Locked
Multimodal-specific transfer learning Locked
Familiarity with emerging multimodal trends and technologies Locked
Design, development, and deployment of energy-efficient and trustworthy multimodal AI models Locked
Use prompt engineering principles to create prompts to achieve desired results Locked
Understand deep learning frameworks such as TensorFlow or PyTorch 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?

Design statistical analysis for evaluating multimodal pipelines Multimodal-specific transfer learning Familiarity with emerging multimodal trends and technologies Design, development, and deployment of energy-efficient and trustworthy multimodal AI models Use prompt engineering principles to create prompts to achieve desired results Understand deep learning frameworks such as TensorFlow or PyTorch

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