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Google's 9 Hour AI Prompt Engineering Course In 20 Minutes

By Tina Huang

Summary

## Key takeaways - **Prompt Framework: Task, Context, References, Evaluate, Iterate**: Effectively prompt AI by defining the task, providing context and references, evaluating the output, and iterating based on the results. This five-step framework, remembered by the mnemonic 'Tiny Crabs Ride Enormous Iguanas,' is key to refining AI responses. [01:15], [03:05] - **Iterate Prompts: Revisit, Shorten, Rephrase, Constrain**: When initial AI outputs aren't satisfactory, try four iteration methods: revisit the framework with more detail, break prompts into shorter sentences, rephrase the request or use an analogous task, or introduce specific constraints to narrow the focus. [04:03], [05:06] - **Multimodal Prompting: Beyond Text**: Interact with AI using various modalities like images, audio, and video, not just text. For instance, input an image of a product to generate a social media post or use a musical piece to inspire a story's atmosphere. [05:55], [06:30] - **AI Agents: Simulation and Expert Feedback**: AI agents can simulate scenarios for practice, like interview training with 'Agent Sim,' or provide expert feedback on pitches with 'Agent X.' Designing an agent involves assigning a persona, providing context, specifying interactions, setting a stop phrase, and defining feedback. [16:14], [18:04] - **Advanced Prompting: Chaining, Chain of Thought, Tree of Thought**: Enhance AI capabilities with prompt chaining for complex tasks, Chain of Thought to understand AI reasoning step-by-step, and Tree of Thought to explore multiple reasoning paths simultaneously for abstract problems. [12:31], [14:11]

Topics Covered

  • Master AI Prompts: The 5-Step Framework Explained
  • AI Hallucinations and Biases: Why Human Oversight is Crucial
  • Elevate Your Content: Prompting for Tone and Style
  • Advanced AI Techniques: Prompt Chaining, Chain of Thought, and Tree of Thought
  • AI Agents: Simulators and Expert Feedback

Full Transcript

I took Google's prompt engineering

course for you so here's the cliffnotes

version to save you to 9 hours but it's

not enough just to listen to me talk

about stuff so I've also included a

little assessment at the end of the

video to help you remember everything

that you learned because research shows

that immediately reviewing information

after you learn it is the best way of

retaining that information all right

let's go let's first go over the

structure of this course prompting

Essentials has four modules module one

is start writing prompts like a pro this

is where they introduce some really

helpful Frameworks for how to craft

prompts module two is design proms for

everyday work task this will include

proms for emailing brainstorming

building tables and summarizing

documents module 3 specifically focused

on using AI for data analysis and for

building PowerPoint presentations and

finally module four use AI as a creative

or expert partner this is where Google

really packs it in like I am genuinely

super impressed by this module we talk

about Advanced prompting techniques like

prompt chaining Chain of Thought tree of

thought and a framework for creating

agents all right module one let's do the

fundamentals let's first the prompting

prompting is the process of providing

Specific Instructions through gen tool

to receive new information or to achieve

a desired outcome on a task this could

be text images video sound or even code

the course provides a five-step

framework for how to design a prompt

task context references evaluate and

iterate the task is what you want the AI

to do for example if your friend's

birthday is coming up and they're really

into anime you can say suggest the gift

related to anime for my friend's

birthday now that prompt in itself is

okay but but you can Elevate this and

get a result that's more unique and

specific by incorporating two additional

things the first one is a Persona which

is a role that you want the AI to embody

for example you can update the prompt to

act as an anime expert to suggest an

anime gift for my friend's birthday you

notice that the results are a lot more

specific and it's actually split into

different genres the second thing you

can add is the format of the output the

default here is just the list and bullet

points but maybe you want something

that's more structured so you can say

organize that data into a table the

second component of the framework is

context the general rule of thumb is

that the more context you can provide

the better the output will be in your

birthday gift example you can specify

something like your friend is turning 29

years old her favorite animes are

shangula Frontier solo leveling and

Naruto etc etc you'll see that the

output is much more targeted third part

of the framework is references this is

where you can provide examples to the AI

sometimes when you're trying to explain

what you want it's kind of hard to

describe it in words but providing

examples can really clear things up and

AI is especially good at incorporating

examples maybe you can provide past

birthday presents that this person has

enjoyed step number four is evaluate

this is after you get the output just

ask yourself is this output what I want

it to be and if it's not exactly what

you wanted to be then last upep is

iterate prompting is rarely a oneandone

kind of thing it's much more of a

circular process in which you're

refining the prompt to get the results

that you want just like what we did

earlier often times you might just start

with a simple task like suggestions for

a birthday present then you want to get

better results and you start iterating

on that and adding things like a Persona

context and references to finally get to

a result that you're happy with as the

course calls it ABI always be iterating

speaking of pneumonics the course does

have one for this five-step framework

which I actually find really difficult

to remember um I think it's thoughtfully

craft really excellent I don't know what

the ey stands for I'll I'll put it on

screen but I do have one that I made

which I can remember a lot better so I

don't know maybe this will help you as

well uh which is Tiny crabs ride

enormous iguanas a lot more memorable in

my opinion anyways whatever it is that

you need to do uh just figure out some

way to remember this framework because

everything else in the course is based

on this the rest of module one which

also includes interviewing different

people I think is interesting but not

super necessary the only other really

useful important thing that they

presented is the four iteration methods

so by following date I'm just going to

call it tiny crabs writing enormous

iguanas framework um will get you like

80% of the weight but sometimes you're

just not quite there so to iterate and

get the 20% there are four different

methods that you can try the first one

is just to revisit the prompting

framework maybe you can give more

references more examples provide more

context or you know add a Persona if you

haven't already number two is to

separate your prompt into shorter

sentences it's helpful to think about AI

like how you would talk to a normal

person like if you just word vomit to

someone about whatever it is that you

want they'll probably be like

overwhelmed and there's just like a lot

of stuff going on right so the same

thing can happen for AI and an easy

solution for this is just to break your

prompt into simpler sentences and

feeding it to the AI slowly so it's less

like blah blah blah blah blah blah blah

I'm more like blah blah and blah much

more organized number three is trying

different phrasing or switching to an

analogous task say you want the AI to

help you write a marketing plan but the

results are just kind of like boring and

Bland what you can do is that marketing

is really just telling a compelling

story so instead you can ask it to write

a story about how this product fits into

the lives of our Target customer

demographics this is an analog task but

the results are much more lively and

interesting and the fourth iteration

method is to introduce constraints just

like when you tell someone that they can

do anything or like if you ask people

what does everybody want to eat for

lunch and they're just like oh anything

this actually makes it a lot harder for

you to get a result that you're happy

with so instead you can introduce

constraints to narrow the focus down say

you want to generate a playlist for a

road trip and the AI generat your

playlist but it's just like not very

interesting you can add different

constraints like only specific to a

certain region only at this specific

Tempo or only songs about

heartbreak Deion for example I don't

know maybe you like feeling sad so with

these four iteration methods um with the

help of AI I also came up with a

pneumonic to remember it better which is

rahen saves tragic idiots so let's talk

about multimodo prompting the most

classical way of interacting with a

large language model is just by like

typing stuff I like having a

conversation but you can actually

interact with many AI models like Gemini

um with different modalities as well

including pictures audio video and even

code it's able to take different types

of modalities as the input and is able

to Output using different modalities as

well this doesn't change anything in

terms of how you think about prompt it's

still going to be tiny crabs writing

enormous iguanas but you just might need

to be a little bit more careful about

specifying what kind of input or output

you're looking for and the kind of

context that you're providing for

example if you designed a new nail

artart collection and you want to Market

it on social media you could input

something like write a social media post

featuring this image and then attach

your nail art collection as a reference

the post should be fun short and focus

on the fact that's a collection of new

designs I'm selling some other examples

of multimodality usage would be asking a

gen tool to suggest recipes based on the

photo of the ingredients in your fridge

inputting your Brand's logos and colors

and then creating a digital teaser to

promote an event or if you're working on

a short story and you get really

inspired by a musical piece you try

inputting that music piece and tell it

to kind of follow those vibes for the

atmosphere and details of the story

regardless of the modality that you're

prompting in there are two major issues

with using AI tools the first one is

hallucinations a Hallucination is when a

gen AI tool provides outputs that are

inconsistent incorrect or even

nonsensical a really famous example is

that if you ask an Ella um how many RS

are in Strawberry it tells you that

there's two hours in Strawberry the

second is biases unfortunately L's being

trained on human content also

incorporates human biases things like

gender and Race So to minimize these

sorts of problems the course recommends

that we take a human in the loop

approach which is making sure that

you're always checking your outputs and

verifying whatever it is that the Gen

tool gives you in the end it is your

responsibility of making sure that

whatever is being produced is in fact

accurate here is a checklist feel free

just to take a screenshot for some

considerations when you're thinking

about using AI responsibly you know

compared to other Google courses I've

taken especially the AI Essentials

course which you can check out over here

um this course is a lot more dense which

is a lot better bang for your bug so pay

attention moving on to module 2 module 2

is called design prompts for everyday

work task it's essentially just

providing examples of use cases based on

the tiny crabs writing enormous iguanas

framework and the ramen saves tragic

idiots framework too that's why I'm

going to go through this module

relatively quickly I'll highlight some

of the examples that I think are really

important and for the rest of them I'll

actually just put on screen so you can

take screenshots of it if you want and

build out your own prompt Library where

you can kind of like store the prompts

that you want to use one of the biggest

use case that most people have when

using gen tools is by using it to

produce content for example like writing

emails here's an example of a situation

um when you want to write an email to

your staff about a new schedule change

for your gym I'm a gym manager and we

have a new gym schedule write an email

informing our staff the new schedule

highlight the fact that the MWF Monday

Wednesday Friday Cardio Blast class

changed from 7:00 a.m. to 6:00 a.m. make

the email professional and friendly and

short so that the reader can skim it

quickly here's the new schedule and you

can actually attach the link that

contains the new schedule this sort of

email probably take you like 10 minutes

to write but by using a gen tool you can

do it in like a minute most of us do

send quite a lot of little emails here

and there throughout the week um so the

time savings do add up for this kind of

email you probably aren't super picky

but what happens if you need to write

email that is a lot more important or

you're writing other things like an

essay an article or a newsletter you

would care a lot more about the tone and

the word choice that's being used

instead of using general terms like

write a casual summary try to use more

specific phrases like write a summary in

a friendly easy to understand tone like

explaining to a curious friend you can

also provide references for context

other emails or articles or whatever

that you've written in the past and tell

to AI to match the tone I'm going to now

include a few other prompts on screen

related to generating text or content

which you can take a screenshot to add

to your prompt Library if you want if

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portion of the video now back to the

video module 3 is pretty similar to

module 2 it's just more example use

cases very helpful example use cases

though specifically data analysis and

presentations the big word of caution

here is is that be careful about what

data that you're inputting into your AI

model uh if you're working for you know

a company you do not want to be

violating any privacy policies and you

probably don't want to be putting some

sensitive data into some large language

model as well the example from a course

if save you have a data set for a

grocery store chain with information

about the store the area items that they

have available the daily customer

account and store sales if you're not

very good at Google Sheets or Excel you

might input a prompt like this attached

is a Google sheet of store data how can

I create a new column in sheets that

calculates the average sales per

customer for each store it can help

teach you specific things like this um

and it can actually do more say if

you're interested in the trends in the

data set you could then add on to give

me insights into the relationship

between daily customer count items

available and sales based on the given

data Gemini is able to show some

interesting Trends including the fact

that there's no clear correlation

between items available and store sales

if you find this interesting you can

continue prompting it digging into this

and maybe coming coming up with ways to

figure out why that's the case I'm going

to put on screen now a couple other

prompts related to spreadsheets and data

analysis that you might find helpful the

second part of the module is about

building presentations and I'm going to

put on screen out a couple prompts

related to presentations that could be

helpful and finally we are at module 4

we're almost done guys module 4 is

titled use AI as a creative or expert

partner this is an extremely important

module and what made me very impressed

about this course so first we're going

to cover some advanced prompting

techniques starting off with prompt

chaining prompt chaining is a way to

guide gen tools through a series of

interconnected prompts adding new layers

of complexity along the way for example

you're an author and you wrote a

wonderful novel and now you want to

Market and sell your novel so you need

to come up with a marketing plan the

course recommends you use Google AI

studio for this because it has much

longer context window because you're

going to be attaching your entire

manuscript the first thing you might

want to do is to generate some summaries

of your manuscript generate three

options for a one sentence summary of

this novel manuscript the summary should

be similar in voice and tone to the

manuscript but more catchy and engaging

so Jeb was able to give some decent

options but you want to focus on a more

specific theme that's where the prompt

chaining comes in taking the output from

the previous prompt and then asking

create a tagline that is a combination

of the previous three options with a

special focus on the exciting plot twist

and mystery of the book find the

catchiest and most impactful combination

the tagline should be concise and leave

the reader hooked and wanting to read

more and great it comes up with the

desert whisper secret a young Weaver

seeks a city of singing stones but the

greatest Journey unfolds into Whispers

of her own

heart anyways you can keep refining

things if you want and finally maybe

even asking Gemini to generate a six-

week promotional plan for the book tour

including the locations and the channels

to promote each stop on the tour so that

was prom chainy there's two other

Advanced Techniques in this module Chain

of Thought prompting and tree of thought

prompting as a no a lot of these Ai

terminologies and techniques sound like

super fancy but they're actually not

like Chain of Thought prompting is about

asking the AI to explain his reasoning

as a step-by-step process it's similar

to how your math teacher might ask you

to explain your work so he or she is

able to identify like the steps that

you're taking and where you could be

going wrong all you have to do

throughout your prompting sequence is to

tag on the line explain your thought

process this helps you understand the

ai's reasoning for things and you can

help improve his decision making tree of

thought prompting as his name suggest is

sort of like a tree it allows you to

explore multiple reasoning paths where

like branches simultaneously this is

really helpful for abstract or complex

problems like developing novel plots

with new characters or creating outlines

and drafting sections for lengthy

documents you can work with the AI tool

to explore different options and

evaluate them to finally come up with

the best output as an example maybe

you're creating an online course and you

want to create a cool image on the

landing page you can use tree of thought

prompting to brainstorm different

options a potential prompt may be

imagine three different designers are

pitching their designs to me all

designers will write down one step of

their thinking then share it with the

group then all experts Will Go On To The

Next Step Etc if any expert realizes

they're wrong at any point then they

leave the question is generate an image

that's visually energetic and features

images of art supplies in computers show

me three suggestions in very different

styles from simple to detailed and

complex and here's the output Gemini

came up with now looking at this output

you might be like m I kind of like The

Vibes of one where one could be going so

you can tell the AI that you like the

first one and you'll like to expand the

idea a little bit more and perhaps

generate three different color schemes

for that concept and you can just keep

doing that until you end up with

something that you like a pro tip is

that you can combine Chain of Thought

and tree of thought prompting by asking

the AI to explain his reasoning at each

iteration so you can provide feedback

another Pro tip as you're prompting

along is if you ever get stuck and you

don't really know what prompt to use you

can actually use use AI to help you come

up with a prompt this is called meta

prompting all right the last section of

the course is on agents and I have

actually not seen a single course be

able to cover agents as well as this one

so first definitions what is an AI agent

an AI agent is like an expert designed

to help with task and answer questions

you can have all sorts of Agents you can

have coding agents that help you with

coding uh marketing agents that come up

with marketing plans with you a golf

agent that can correct you on your golf

swings or maybe just a friend agent that

can be your friend the course cover

covers two types of Agents the first one

is a simulation agent called Agent Sim

agent SIM can simulate scenarios with

you like conduct interviews or do role

playing for example if you work in a HR

department you might be tasked with

coming up with a training program to

help interns improve their interviewing

skills for that final job assessment for

AI agents you want to focus a lot on the

Persona and the context the Persona here

is act as a career development training

Simulator the task is your task is to

help interns Master interview skills and

conduct convers ation with potential

managers then you have the context you

need to support the following types of

conversations articulating strengths and

skills communicating professionally and

confidently And discussing future career

development goals once an intern has

picked a conversation topic provide

details about the situation in the

interviewer's role then act as the

interviewer and allow the intern to

participate as the employee make sure to

guide a conversation in a way that will

allow the intern to exercise their

interview skills finally you want to

include a stop role where you can tell

the agent that you're done with the

simulation continue to roleplay until

the intern replies with jazz hands after

the intern gives the stop rule jazz

hands provide them with key takeaways

from the simulation and skills they can

work on now that is set up you can start

doing a simulation maybe by inputting

the chart analysis that I did for my

intern project agent Sim will ask you

more questions about the analysis and

you keep responding to them and at the

end you can insert jazz hands and then

agent Sim will provide feedback for you

the second kind of agent is an agent for

expert feedback Called Agent X Agent X

is able to give you feedback on any

topic of your choosing sort of like a

personalized tutor or consultant here's

an example prompt to create an agent X

that can provide you feedback about a

pitch for a potential client first the

Persona you're my potential client the

VP of advertising at a world famous

sports car company known for its

Innovation performance and Engineering

Excellence now the context you're

considering hiring a creative agency to

develop a new campaign that will attract

a younger generation of buyers you're in

a meeting with me the design director of

a creative agency that's pitching a new

campaign for your company and now the

task act as my potential client when I

provide answers critique the answers if

needed ask follow-up questions continue

the conversation until I give the stop

roll break then give me a summary of the

whole conversation highlighting ways I

can improve my pitch you also want to

include additional material references

for your agent I've included the brief

the car company provided me that has all

the relevant information for this

project use the information from this

brief to inform your answers AI agents

can be super powerful if you can design

them correctly and these are only two

examples I really like how the course

also provides a guideline for how to

create any AI agent first you need to

assign a Persona that you want the AI

agent to take on for example act like a

successful personal fitness trainer and

talented nutritionist step two is that

you want to give as much context and

detail as you can about the scenario and

the conversation for example I'm looking

to improve my overall Fitness and adopt

a healthier lifestyle step three is to

specify the type of conversations or the

kind of interactions that you want to

have with the AI agent you might also

want to set some rules to follow like

like ask me about my workout routines

and meal planning and give me feedback

step four is to provide a stop phrase in

order to stop the conversation this can

literally be anything you want so go

wild an example they give is no pain no

gain and finally step five as a tool to

provide feedback or areas of improvement

after the conversation EDS at the end of

our conversation provide a summary of

the advice you provided and that is it

my friends you have now completed the

Google prompting Essentials course and

saved 9 hours of your time but as

promised to make sure that you actually

have retained this information I will

now put on screen the questions for the

little assessment please answer these

questions to actually retain the

information you've just learned you can

like say it in your head you can say it

to your friend your dog your cat

whatever but for proof you should write

it in the comments thank you all so much

for watching and I will see you guys in

the next video we live stream

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