Introduction to Large-Scale AI Systems
Learn the foundational concepts of large-scale AI systems, including architecture, components, and challenges.
Learning Objectives
Understand the structure and function of large-scale AI systems.
Topics
System Architecture Overview
An overview of the architecture of large-scale AI systems.
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Data Pipelines
Learn about the role and design of data pipelines in AI systems.
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Scalability Challenges
Understand the challenges associated with scaling AI systems.
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Distributed Computing
Explore how distributed computing is used in AI systems.
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Cloud vs. On-Premise Solutions
Compare cloud-based and on-premise AI solutions.
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Model Deployment Strategies
Learn about different strategies for deploying AI models.
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Monitoring and Maintenance
Understand the importance of monitoring and maintaining AI systems.
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Case Study: Large-Scale AI System
Analyze a case study of a large-scale AI system.
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Realtime audio conversation for interactive session.
Interactive realtime chat session.
Live whiteboard explanation and collaboration.
Real-time wide variety of examples.
Continuous assessment and feedback.
Progress monitoring and record progress journey.
Broadcast session with larger audience for free.
Attend audience queries and provide responses.