Basic Model Deployment & Performance
Learning the basics of deploying AI models and evaluating their performance.
Learning Objectives
Understand the fundamentals of deploying and evaluating AI models.
Topics
Introduction to Model Deployment
Basics of deploying AI models in real-world scenarios.
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Understanding Deployment Environments
Exploring different environments where models can be deployed.
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Basic Cloud Deployment
Introduction to deploying models on cloud platforms.
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Evaluating Model Performance
Learning how to evaluate the performance of AI models.
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Improving Model Accuracy
Basics of improving model accuracy and reliability.
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Monitoring Deployed Models
Introduction to monitoring the performance of deployed models.
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Handling Deployment Issues
Basics of troubleshooting deployment problems.
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Scaling AI Models
Introduction to scaling AI models for higher demand.
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Security in Model Deployment
Discussing security considerations in deploying AI models.
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Case Studies of Model Deployment
Exploring real-world examples of successful AI model deployment.
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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.