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Lessons
16 lessons in this course
3
Module 2.1: Preparing Your Data for AI Prototyping
4
Module 2.2: Structuring Data for LLM-Based Prototypes
5
Module 3.1: LLM vs Traditional ML — When to Use What
6
Module 3.2: Configuring Your Model for Best Results
7
Module 4.1: Building Your First LLM Prototype — Step by Step
8
Module 4.2: Advanced Prototype Patterns — Chains, Tools, and Agents
9
Module 5.1: Testing Your AI Prototype — Beyond Accuracy
10
Module 5.2: Gathering Feedback and Iterating
11
Module 6.1: From Prototype to Production — What Changes
12
Module 6.2: Monitoring and Maintaining AI in Production
13
Module 7.1: The Top 10 AI Prototyping Mistakes
14
Module 7.2: Case Study — An AI Prototype from Start to Finish
15
Module 8.1: Building an AI-Ready Organization
16
Module 8.2: Your AI Prototyping Checklist and Next Steps
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