WEBVTT

00:00.570 --> 00:02.940
Instructor: Where do you start with prompt engineering?

00:02.940 --> 00:05.340
In a landscape filled with confusing advice,

00:05.340 --> 00:06.585
how do you know where to go?

00:06.585 --> 00:08.100
(keyboard keys clacking)
(buzzer buzzing)

00:08.100 --> 00:08.933
(glass shattering)

00:08.933 --> 00:10.262
Lucky for you, you're in the right place.

00:10.262 --> 00:11.595
(phone dial humming)
(screen buzzing)

00:11.595 --> 00:12.480
(buttons beeping)

00:12.480 --> 00:15.360
It's impossible to keep up with AI, so don't even try.

00:15.360 --> 00:17.580
Instead of short-lived tips, tricks and hacks,

00:17.580 --> 00:19.950
you need to focus on mastering future-proof principles

00:19.950 --> 00:22.380
of prompt engineering, things that won't change no matter

00:22.380 --> 00:23.850
what was just released this week.

00:23.850 --> 00:25.500
The principles in this course enable you

00:25.500 --> 00:27.780
to work professionally with generative AI

00:27.780 --> 00:31.080
as we've been doing since the GPT-3 in 2020.

00:31.080 --> 00:31.913
I'm Mike Taylor.

00:31.913 --> 00:33.960
I used to run a 50-person marketing agency

00:33.960 --> 00:36.600
and over 350,000 people have taken my courses.

00:36.600 --> 00:37.620
-: And I'm James Phoenix.

00:37.620 --> 00:38.820
I build data pipelines

00:38.820 --> 00:41.910
and automate workflows for marketing teams using AI,

00:41.910 --> 00:42.780
and I've also taught

00:42.780 --> 00:45.180
in around 50 plus data science bootcamps

00:45.180 --> 00:46.620
for general assembly.

00:46.620 --> 00:48.360
-: More recently, we've been writing a book together

00:48.360 --> 00:50.340
on prompt engineering for O'Reilly based

00:50.340 --> 00:52.350
on the techniques that we cover in this course.

00:52.350 --> 00:53.460
James: We'll walk you through everything

00:53.460 --> 00:56.190
from ChatGPT to DALL-E and GitHub Copilot,

00:56.190 --> 00:58.020
as well as exploring alternative models,

00:58.020 --> 01:01.080
such as Llama, Midjourney and Stable Diffusion.

01:01.080 --> 01:03.390
Mike: You're gonna learn how to use AI engineering tools

01:03.390 --> 01:04.620
that people use professionally,

01:04.620 --> 01:08.280
like LangChain, vector databases, and Automatic1111.

01:08.280 --> 01:10.530
Also, on this course, you'll explore advanced techniques,

01:10.530 --> 01:12.540
such as retrieval, autonomous agents,

01:12.540 --> 01:14.250
and extracting structured data.

01:14.250 --> 01:16.920
-: We've designed each lesson based on real-world solutions,

01:16.920 --> 01:18.810
as we've used in our own projects,

01:18.810 --> 01:20.100
including prompt templates

01:20.100 --> 01:22.560
that you can start using right away in your work.

01:22.560 --> 01:23.880
-: This field is rapidly evolving,

01:23.880 --> 01:25.770
so we are updating this course every month

01:25.770 --> 01:26.940
with fresh content.

01:26.940 --> 01:29.160
We address every single review that you guys leave,

01:29.160 --> 01:30.900
as well as any question that you ask,

01:30.900 --> 01:33.450
and we fix any issues that you bring to our attention.

01:33.450 --> 01:35.617
Thank you for choosing "The complete prompt engineering

01:35.617 --> 01:36.990
"for AI bootcamp."

01:36.990 --> 01:38.340
Both: Let's get started.
