Engage in basic hands-on projects to apply AI concepts.
Learning Objectives
Apply learned AI concepts in simple projects.
Topics
Presenting your project to peers for critique.
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Setting up the environment for AI projects.
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Basics of using Python programming in AI projects.
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How to load and explore datasets for AI projects.
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Creating a basic AI model using Python.
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Testing and validating the model's performance.
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Introduction to basic model tuning techniques.
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Basics of deploying an AI model for use.
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How to document your project for future reference.
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Reviewing project outcomes and gathering feedback.
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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.