WEBVTT 00:02.000 --> 00:02.560 Okay. 00:02.600 --> 00:03.800 You almost made it. 00:03.800 --> 00:07.960 This is the last lecture of the course, and I just want to say thank you. 00:07.960 --> 00:12.880 Thank you for being here, for sticking with it and for investing time in your learning. 00:13.240 --> 00:18.960 I hope the course helped you understand the topic better, give you some new ideas, and maybe even 00:19.000 --> 00:21.040 inspired you to keep learning. 00:22.000 --> 00:23.400 You wanna get your certificate? 00:23.440 --> 00:27.040 Make sure that every lecture is marked as completed. 00:28.000 --> 00:33.320 Go to each section and check that every lecture has a checkbox. 00:34.000 --> 00:39.080 You can also check each individual section to identify if there are any missing lectures. 00:39.400 --> 00:46.600 For example, in this section there's one lecture missing, but in the next one there are 18 lessons 00:46.600 --> 00:50.160 that are missing and which still require a checkbox apply. 00:51.160 --> 00:56.920 Once everything is done, your certificate will appear on top of the course page right about there. 00:58.120 --> 01:00.680 I also encourage you to share your certificate on LinkedIn. 01:01.000 --> 01:06.530 It's a great way to celebrate your learning, connect with others, and maybe even start a conversation 01:06.530 --> 01:10.690 about how AI is changing the way we work, for better or worse. 01:11.050 --> 01:13.450 I'd love to see your posts and hear your thoughts. 01:14.650 --> 01:16.170 So what's next for you? 01:16.210 --> 01:19.530 Well, this is a fast changing industry right now. 01:19.930 --> 01:23.970 There's always more to learn, and for me personally, that's exciting. 01:24.530 --> 01:30.210 Whether you're a developer, a tester, or, you know, just starting out, keep growing. 01:30.610 --> 01:35.890 This course was just the beginning, and I don't want to pretend we have covered everything there is 01:35.890 --> 01:36.410 to learn. 01:36.850 --> 01:40.050 So here are some ideas for what you can explore next. 01:40.810 --> 01:43.930 First of all, explore more AI coding tools. 01:44.330 --> 01:49.530 There are many other tools out there that I haven't covered in this course, like GitHub, copilot, 01:49.530 --> 01:52.650 Replit, and even some experimental agents. 01:53.130 --> 01:56.210 Each has its own strengths and ways of working. 01:57.250 --> 01:59.490 Apart from this, specialize in one tool. 02:00.010 --> 02:05.250 Choose one that fits your workflow or your goals and get really good at it. 02:05.290 --> 02:10.850 Learn its shortcuts, its limits, all its functionalities and how to think with it. 02:10.850 --> 02:17.150 How to work together and apart from this, get better at prompt engineering. 02:17.870 --> 02:20.030 Get better just a bit every day. 02:20.430 --> 02:23.430 Practice how you can give better instructions to the AI. 02:23.950 --> 02:30.030 The more precise and clear you are, the better the result you will get and also the faster it will 02:30.030 --> 02:30.430 be. 02:31.150 --> 02:37.470 Whether you're writing code, generating tests, or just building entire apps, you will benefit from 02:37.470 --> 02:38.750 this long term. 02:39.270 --> 02:41.230 Also, go deeper with coding. 02:41.510 --> 02:45.070 Start a small side projects or build something useful at work. 02:45.630 --> 02:47.630 Don't just use the AI to build. 02:47.670 --> 02:48.750 Use it to learn. 02:48.750 --> 02:49.430 As you go. 02:50.190 --> 02:51.110 Talk to the AI. 02:51.510 --> 02:53.550 Ask it to explain what it is doing. 02:53.950 --> 02:55.430 Refine your thinking. 02:56.550 --> 03:01.510 You want to turn coding into a conversation because that's where real learning happens. 03:02.310 --> 03:05.590 And last but not least, level up your debugging skills. 03:05.870 --> 03:10.270 AI tools can generate a lot of code quickly, but not always correctly. 03:10.510 --> 03:16.320 Knowing how to debug and fix the code is becoming one of the most valuable skills. 03:17.120 --> 03:22.880 So in the future, the most important skills will be the ability to understand, debug and guide AI. 03:23.240 --> 03:25.880 So don't be afraid to take on challenges. 03:25.880 --> 03:27.280 Do what is hard. 03:27.520 --> 03:33.000 Do what others are afraid to do because that's where the real growth happens. 03:33.320 --> 03:35.520 Also, check the resources folder for this lecture. 03:35.640 --> 03:38.920 It's packed with ideas on what you could learn next. 03:40.120 --> 03:45.440 Right after this lecture, you will be asked again to leave a review for the course you'll be doing 03:45.440 --> 03:47.960 me and other learners a huge favor. 03:47.960 --> 03:51.240 If you could take just 1 or 2 minutes to write one. 03:51.600 --> 03:56.440 Let others know if this course was helpful or not and what you got out of it. 03:57.280 --> 04:01.920 If you would like to connect, feel free to send me a message or a connection request on LinkedIn. 04:02.280 --> 04:07.800 I enjoy hearing what people are working on, and I'm always happy to answer questions or chat about 04:07.800 --> 04:09.680 what is happening in IT and tech. 04:09.920 --> 04:10.960 And that's it. 04:11.160 --> 04:12.840 Thank you for being part of this course. 04:12.840 --> 04:15.000 I really hope to see you in another one soon. 04:15.000 --> 04:19.360 And until then, keep learning, keep building, and stay curious.