WEBVTT 1 00:00:00.270 --> 00:00:02.130 Before we continue with the course, 2 00:00:02.130 --> 00:00:03.390 I think it's important 3 00:00:03.390 --> 00:00:05.760 to go through the course's objectives, 4 00:00:05.760 --> 00:00:09.510 and my number one goal is that, by the end of this course, 5 00:00:09.510 --> 00:00:11.520 you'll be competent to develop 6 00:00:11.520 --> 00:00:15.360 your own LLM-powered application with LangChain. 7 00:00:15.360 --> 00:00:20.100 And I like to categorize LLM applications into two types: 8 00:00:20.100 --> 00:00:22.710 agents and RAG applications. 9 00:00:22.710 --> 00:00:25.080 And I elaborately talk about this distinction 10 00:00:25.080 --> 00:00:26.670 in this video here. 11 00:00:26.670 --> 00:00:28.890 Anyways, this course is going to give you 12 00:00:28.890 --> 00:00:32.010 an elaborate coverage of those two topics, 13 00:00:32.010 --> 00:00:34.860 and you'll know exactly how to implement an agent 14 00:00:34.860 --> 00:00:37.350 and how to implement a RAG application. 15 00:00:37.350 --> 00:00:40.560 And it's not just about building those type of applications, 16 00:00:40.560 --> 00:00:44.010 but rather understanding how they work under the hood. 17 00:00:44.010 --> 00:00:44.940 During this course, 18 00:00:44.940 --> 00:00:47.250 we'll dive into the LangChain source code, 19 00:00:47.250 --> 00:00:50.640 and we'll understand exactly what LangChain is doing, 20 00:00:50.640 --> 00:00:52.590 and there will be no magic. 21 00:00:52.590 --> 00:00:55.740 We'll understand everything inside the process 22 00:00:55.740 --> 00:00:57.810 of building those type of applications, 23 00:00:57.810 --> 00:01:00.090 which will provide us with a solid foundation 24 00:01:00.090 --> 00:01:02.730 for the LLM application development field. 25 00:01:02.730 --> 00:01:04.050 And, as a bonus, 26 00:01:04.050 --> 00:01:05.460 you'll also be proficient 27 00:01:05.460 --> 00:01:08.010 within the LangChain ecosystem stack, 28 00:01:08.010 --> 00:01:10.230 like using LangSmith for tracing, 29 00:01:10.230 --> 00:01:13.200 or LangGraph for workflow engineering. 30 00:01:13.200 --> 00:01:15.090 And don't worry if you don't understand 31 00:01:15.090 --> 00:01:16.380 anything I'm saying right now, 32 00:01:16.380 --> 00:01:19.080 I promise you you'll understand everything 33 00:01:19.080 --> 00:01:20.460 by the end of this course. 34 00:01:20.460 --> 00:01:23.460 We'll also cover prompt engineering-based practices, 35 00:01:23.460 --> 00:01:25.200 prompt engineering techniques, 36 00:01:25.200 --> 00:01:27.450 and really the history of prompting, 37 00:01:27.450 --> 00:01:29.970 which is very interesting and is the foundation 38 00:01:29.970 --> 00:01:32.760 for all of the Gen AI apps we're seeing right now. 39 00:01:32.760 --> 00:01:34.410 And, as a software engineer 40 00:01:34.410 --> 00:01:37.260 who used to write software for the enterprise, 41 00:01:37.260 --> 00:01:40.230 I will be covering those production-ready topics 42 00:01:40.230 --> 00:01:44.190 like testing, logging, monitoring, alerting, security, 43 00:01:44.190 --> 00:01:46.740 and I like to continuously follow up on those topics 44 00:01:46.740 --> 00:01:50.550 along the course to discuss some real-world scenarios. 45 00:01:50.550 --> 00:01:53.190 All right, and I think it's also important to discuss 46 00:01:53.190 --> 00:01:56.790 who is the target audience I was making this course for. 47 00:01:56.790 --> 00:01:58.560 So, at the beginning, 48 00:01:58.560 --> 00:02:00.870 this course was mainly for software engineers 49 00:02:00.870 --> 00:02:04.590 and data scientists who want to get into Generative AI 50 00:02:04.590 --> 00:02:07.080 and to build LLM applications. 51 00:02:07.080 --> 00:02:10.080 So no prior knowledge in machine learning is needed, 52 00:02:10.080 --> 00:02:13.200 and I teach everything you need to know in this course. 53 00:02:13.200 --> 00:02:14.640 And I'll be honest with you, 54 00:02:14.640 --> 00:02:16.920 when I started my Gen AI journey, 55 00:02:16.920 --> 00:02:19.560 I had zero machine learning experience. 56 00:02:19.560 --> 00:02:22.740 I always felt inconfident about my knowledge gap 57 00:02:22.740 --> 00:02:23.700 in this field, 58 00:02:23.700 --> 00:02:26.820 and it was always scary to dive into machine learning, 59 00:02:26.820 --> 00:02:28.800 and I never really took this jump. 60 00:02:28.800 --> 00:02:31.500 However, now, AI is a commodity, 61 00:02:31.500 --> 00:02:34.560 and, in my opinion, LangChain was a huge accelerator 62 00:02:34.560 --> 00:02:35.730 in this process. 63 00:02:35.730 --> 00:02:38.160 Anyways, you don't need to know machine learning 64 00:02:38.160 --> 00:02:39.270 in order to take this course. 65 00:02:39.270 --> 00:02:41.490 You just need software experience. 66 00:02:41.490 --> 00:02:44.490 So having said that, this course is very technical, 67 00:02:44.490 --> 00:02:47.220 and I do assume that you have software experience, 68 00:02:47.220 --> 00:02:50.160 so you know how to write code, to debug code, 69 00:02:50.160 --> 00:02:53.160 and, overall, that you're comfortable around code, 70 00:02:53.160 --> 00:02:55.410 so the sector of software engineers 71 00:02:55.410 --> 00:02:58.050 or data scientists were the main ones. 72 00:02:58.050 --> 00:03:00.990 However, I did have very surprising students 73 00:03:00.990 --> 00:03:02.700 who took this course and enjoyed it. 74 00:03:02.700 --> 00:03:04.830 I had lawyers who took this course, 75 00:03:04.830 --> 00:03:07.980 and even doctors who actually enjoyed it. 76 00:03:07.980 --> 00:03:10.800 So you should know that this was my target audience 77 00:03:10.800 --> 00:03:12.210 when making this course. 78 00:03:12.210 --> 00:03:15.840 However, this course is not for everyone. 79 00:03:15.840 --> 00:03:18.420 Yes, I said that, not for everyone. 80 00:03:18.420 --> 00:03:21.510 And this is why I do assume some concepts 81 00:03:21.510 --> 00:03:22.920 which I'm not going to cover. 82 00:03:22.920 --> 00:03:24.390 Those are the prerequisites, 83 00:03:24.390 --> 00:03:25.980 and, without you knowing them, 84 00:03:25.980 --> 00:03:28.440 then this course will be challenging for you. 85 00:03:28.440 --> 00:03:31.110 So I do assume that you have some Python knowledge, 86 00:03:31.110 --> 00:03:33.330 and you know how to run a Python program, 87 00:03:33.330 --> 00:03:36.060 and to write Python functions, and classes, 88 00:03:36.060 --> 00:03:39.300 and, general, you are proficient in Python. 89 00:03:39.300 --> 00:03:41.730 Now, we're not going to do anything crazy with Python. 90 00:03:41.730 --> 00:03:45.090 We're just going to use the LangChain library in Python, 91 00:03:45.090 --> 00:03:48.090 and the entire source code is being managed in GitHub, 92 00:03:48.090 --> 00:03:50.610 so I do assume some basic Git command 93 00:03:50.610 --> 00:03:52.680 like git clone and git commit, 94 00:03:52.680 --> 00:03:54.210 nothing fancy over here. 95 00:03:54.210 --> 00:03:56.340 I do assume you're familiar with the concept 96 00:03:56.340 --> 00:03:58.290 of a virtual environment in Python, 97 00:03:58.290 --> 00:04:00.750 and how to set environment variables. 98 00:04:00.750 --> 00:04:01.770 And, to be honest, 99 00:04:01.770 --> 00:04:05.130 I think every standard Python course is going to cover 100 00:04:05.130 --> 00:04:06.180 all of those topics. 101 00:04:06.180 --> 00:04:08.610 And you will see me bootstrapping from zero 102 00:04:08.610 --> 00:04:09.630 the entire project, 103 00:04:09.630 --> 00:04:12.000 and you'll see me doing everything step by step. 104 00:04:12.000 --> 00:04:14.520 However, I'm not going to explain everything 105 00:04:14.520 --> 00:04:15.720 right from the basics. 106 00:04:15.720 --> 00:04:17.147 So this is not a Python course, 107 00:04:17.147 --> 00:04:18.960 it's a LangChain course. 108 00:04:18.960 --> 00:04:21.420 And this is why I don't cover the basics. 109 00:04:21.420 --> 00:04:24.600 So it'll give us the flexibility to dive deep 110 00:04:24.600 --> 00:04:28.830 right into LangChain and to starting learning it in depth. 111 00:04:28.830 --> 00:04:30.270 And it's also important to note 112 00:04:30.270 --> 00:04:33.540 that this course has a 30-days money back guarantee. 113 00:04:33.540 --> 00:04:36.270 So if you find this course is not for you, 114 00:04:36.270 --> 00:04:38.070 feel free to ask for a refund. 115 00:04:38.070 --> 00:04:41.010 You will get one without any questions asked. 116 00:04:41.010 --> 00:04:43.440 And, if for some reason, 30 days have passed 117 00:04:43.440 --> 00:04:45.450 and you still want a refund, 118 00:04:45.450 --> 00:04:47.430 feel free to contact me directly, 119 00:04:47.430 --> 00:04:49.530 and I will personally give you a refund 120 00:04:49.530 --> 00:04:51.063 with no hard feelings. 121 00:04:52.980 --> 00:04:54.990 All right, so that's pretty much it. 122 00:04:54.990 --> 00:04:56.940 I hope I didn't scare you too much. 123 00:04:56.940 --> 00:04:58.950 And with that being said, 124 00:04:58.950 --> 00:05:00.333 let's go to the course.