Platform Infrastructure Manager's GenAI Technical Deep Dive: Evaluation, Implementation, Optimization, Security, and Troubleshooting

A comprehensive course for Platform Infrastructure Managers to master the technical aspects of GenAI infrastructure, from evaluation to troubleshooting, enabling effective support for AI development teams.

Introduction to GenAI Infrastructure

Unit 1: Understanding GenAI Fundamentals

Unit 2: The GenAI Lifecycle

Unit 3: Platform Infrastructure Manager's Role

Evaluating Infrastructure Options: Cloud vs. On-Premise vs. Hybrid

Unit 1: Understanding Infrastructure Options

Unit 2: Evaluation Criteria for GenAI Infrastructure

Unit 3: Cloud Provider Offerings for GenAI

Compute Infrastructure for GenAI: GPUs and TPUs

Unit 1: GPU Fundamentals for GenAI

Unit 2: TPU Fundamentals for GenAI

Unit 3: Comparing GPUs and TPUs

Unit 4: GPU Virtualization and Sharing

Unit 5: Specialized Hardware Accelerators

Storage Solutions for GenAI: Data Lakes and Feature Stores

Unit 1: GenAI Storage Fundamentals

Unit 2: Deep Dive into Data Lakes

Unit 3: Feature Stores for GenAI

Networking for GenAI: Low Latency and High Bandwidth

Unit 1: GenAI Networking Fundamentals

Unit 2: Low-Latency Networking Technologies

Unit 3: Network Security for GenAI

Unit 4: Advanced Networking for GenAI

Containerization and Orchestration: Docker and Kubernetes

Unit 1: Docker Fundamentals for GenAI

Unit 2: Kubernetes Fundamentals for GenAI

Unit 3: Advanced Containerization and Orchestration for GenAI

Implementing Infrastructure for Model Training

Unit 1: Compute Resource Provisioning

Unit 2: Distributed Training Setup

Unit 3: Monitoring and Optimization

Implementing Infrastructure for Model Fine-Tuning

Unit 1: Setting Up the Fine-Tuning Environment

Unit 2: Data Management and Transfer Learning

Unit 3: Hyperparameter Tuning and Model Evaluation

Implementing Infrastructure for Model Deployment

Unit 1: Introduction to Model Deployment

Unit 2: TensorFlow Serving

Unit 3: TorchServe

Unit 4: Model Management and Monitoring

Optimizing Infrastructure Performance: Resource Allocation and Autoscaling

Unit 1: Resource Allocation Strategies

Unit 2: Autoscaling Implementation

Unit 3: Performance Profiling and Optimization

Optimizing Infrastructure Costs: Caching and Load Balancing

Unit 1: Caching Strategies for GenAI

Unit 2: Load Balancing Techniques

Unit 3: Storage Cost Optimization

Securing GenAI Infrastructure: Access Control and Data Encryption

Unit 1: Access Control Fundamentals

Unit 2: Data Encryption Techniques

Unit 3: Secrets and Credentials Management

Unit 4: Auditing and Logging

Vulnerability Management and Threat Detection for GenAI

Unit 1: Understanding Vulnerabilities in GenAI

Unit 2: Vulnerability Scanning and Assessment

Unit 3: Threat Detection and Response

Unit 4: Monitoring and Incident Response

Troubleshooting GenAI Infrastructure: Monitoring and Diagnostics

Unit 1: Monitoring GenAI Infrastructure

Unit 2: Diagnosing Common Infrastructure Issues

Unit 3: Logging, Tracing, and Alerting