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As we have gotten to the end of this course,

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I hope you have improved your knowledge of

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the Gemini API by building a complete project.

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And I hope that your journey through this

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course has given you a solid understanding

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of how some of the common features of the

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API like multimodal inputs, structured outputs,

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and function calling can be put into real-world

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use.

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If you are looking to further your knowledge

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from what you have learnt in this course,

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00:00:25,880 --> 00:00:27,960
The LinkedIn Learning Library contains other

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courses that can help you improve your AI

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00:00:30,360 --> 00:00:32,580
engineering and LLM application development

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00:00:32,580 --> 00:00:33,940
skills.

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To make these resources easy for you to locate,

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I will be keeping an updated list of helpful

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resources in the article that follows this

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00:00:41,700 --> 00:00:42,980
video.

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This list contains courses and other materials

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00:00:45,560 --> 00:00:47,800
from the library that can help you to further

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00:00:47,800 --> 00:00:49,960
your knowledge and application of the Gemini

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API and how to implement it in real-world

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applications.

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So, I highly recommend that you check out

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00:00:57,180 --> 00:01:00,180
that list from time to time to stay updated

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00:01:00,180 --> 00:01:02,740
on the latest materials.

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Once again, I am Fikayo Adepoju and you can

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reach me on any of my socials displayed on

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00:01:08,180 --> 00:01:11,500
the screen, on LinkedIn at my name, on Twitter

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at Coder on Flick and on Github also at Coder

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on Flick.

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Happy Coding.

