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What next? Choose your next learning step
Build on AI 101 and ML 101 with a practical project, a focused review or a deeper HerbDev guide. Free learning, at your pace, with no account needed.
Choose the direction that fits what you want to do. You do not need to finish both courses before exploring. If an explanation still feels uncertain, revisit a lesson and try its worked exercise before moving on. There is no deadline or required purchase.
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What next? Choose your next learning step Build on AI 101 and ML 101 with a practical project, a focused review or a deeper HerbDev guide. Free learning, at your pace, with no account needed. Choose the direction that fits what you want to do. You do not need to finish both courses before exploring. If an explanation still feels uncertain, revisit a lesson and try its worked exercise before moving on. There is no deadline or required purchase. I want to understand the basics. Start with AI 101 for prompts, evidence, agents and real application boundaries. Continue to ML 101 when you want to understand data, training and evaluation. Use the vocabulary learning paths whenever a definition introduces an unfamiliar prerequisite. I want to apply what I learned. Try a final course project. Design an evidence-first learning assistant, or plan a small image-review classifier. Each includes a checklist and a worked solution. Work on paper or in a text editor; you do not need a paid AI service or a dataset to begin. I want to build AI into an application. Read how an agent loop gathers information, chooses actions and checks results. Then use the best-practices guide to think about evaluation and human oversight. For mobile image analysis, explore the OrganicVision case study and identify which ideas your own device and workflow would need to test. I want to strengthen a weak area. Open the missed-question review for either course. Revisit its linked lesson, check the relevant vocabulary, and answer again in your own words. Review practice does not change your checkpoint score. Return to the full checkpoint when you want to check your understanding again.
- Choose one question
- Read, listen and try
- Check your understanding
- Apply it, then revisit gaps
I want to understand the basics
Start with AI 101 for prompts, evidence, agents and real application boundaries. Continue to ML 101 when you want to understand data, training and evaluation. Use the vocabulary learning paths whenever a definition introduces an unfamiliar prerequisite.
I want to apply what I learned
Try a final course project. Design an evidence-first learning assistant, or plan a small image-review classifier. Each includes a checklist and a worked solution. Work on paper or in a text editor; you do not need a paid AI service or a dataset to begin.
I want to build AI into an application
Read how an agent loop gathers information, chooses actions and checks results. Then use the best-practices guide to think about evaluation and human oversight. For mobile image analysis, explore the OrganicVision case study and identify which ideas your own device and workflow would need to test.
I want to strengthen a weak area
Open the missed-question review for either course. Revisit its linked lesson, check the relevant vocabulary, and answer again in your own words. Review practice does not change your checkpoint score. Return to the full checkpoint when you want to check your understanding again.
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