Detailed Course Outline
Introduction
- Meet the instructor.
- Create an account at courses.nvidia.com/join
An Overview of the NVIDIA Morpheus AI Framework
- Explore the fundamental mechanics and tools involved in successfully training deep neural networks:
- Understand the need for AI-based cybersecurity.
- Learn about the components of the Morpheus framework.
- Discover how institutions are building solutions with Morpheus.
Morpheus Pipeline Construction
- Get an overview of the Morpheus SDK and CLI.
- Learn about pipeline types and commands.
- Learn about data input/output (IO) and processing.
Inference in Morpheus Pipelines
- Get an overview of NVIDIA Triton Inference Server.
- Understand how models are deployed.
- Explore a sensitive-information-detection pipeline.
Case Study: AI-Based Machine Logs Parsing at Splunk
- Apply your understanding to a real-world example.
Digital Fingerprinting Pipeline
- Use the Morpheus autoencoder pipeline.
- Discover compromised credentials.
Time Series Analysis
- Apply time series analysis within a Morpheus pipeline.
- Combine time series analysis with digital fingerprinting.
Case Study: Cybersecurity Flyaway Kit at Booz Allen Hamilton
- Apply your understanding to a real-world example.
Assessment 1: Test Your Understanding
- Assess your conceptual understanding of the topics covered.
Assessment 2: Practical Demonstration
- Build an end-to-end Morpheus pipeline to identify a cybersecurity breach.
Wrap Up
- Get resources for further development with Morpheus.
- Provide feedback on the workshop.