Write a short executive summary
(2–3 sentences) explaining why AI
adoption is becoming a strategic
priority for companies in 2025. Use
a professional, informative tone
suitable for a business audience.
AI adoption is becoming a strategic priority for
companies in 2025 due to its ability to drive
efficiency, automate repetitive tasks, and
unlock data-driven insights. Organizations that
invest early are gaining a competitive edge in
innovation, customer experience, and
operational agility
What is a Prompt?
1.
A prompt is your input to the AI
a. Question, request, or task—it guides the output
2.
AI responds by matching patterns
a. It predicts based on training data, not human
thinking
3.
This course starts with foundational skills
a. Learn prompt structure first
b. Apply to business, creativity, and more later
Set Your Goal
Know what you want the AI
to generate. A clear goal
gives your prompt purpose.
Test it
Write a First Draft
Start with a rough version. It
doesn’t need to be
perfect—just get something
down.
Drop it into a generative AI
tool like ChatGPT and see
how it responds. This is your
baseline.
Refine your Prompt
Review the Output
Did it work? Is it accurate
and relevant? If not, it’s time
to tweak.
Add detail, reword, or shift
tone. Even the slightest
changes can yield better
results.
Core Prompting Techniques
1.
Clarity vs Wordiness
a.
b.
2.
Instruction Type: Open-Ended vs Directive
a.
b.
3.
Avoid vague prompts like “Give me an idea”
Use detailed direction: “List 3 punchy blog titles about AI in
healthcare”
Open-ended: “Tell me a creative idea for a short film”
Directive: “Write a 5-step checklist for launching a product”
Tone & Audience Control
a.
b.
Tailor voice: “Use a friendly tone,” “Make it sound like
LinkedIn”
Define perspective: “Write this like a Google product
manager”
Prompt Template #1 - Skill Path
Based on the answers I provide below, help determine the best skill path I should
take to get the most out of my “The Complete AI Guide” course. The skill path
options are: Entrepreneur, Creative, and Business. Use the answers to categorize
the my goals, work preferences, professional aspirations, and learning style to
recommend the best path out of those three options. Here are the questions
along with my answers:
1.
My primary goal with AI is [your input]
2.
I prefer to work in the following way [your input]
3.
My current professional role or ambition is [your input]
4.
The best description of my approach to learning is [your input]
Based on these answers, provide a recommendation for which skill path I should
take: Entrepreneur, Creative, or Business. Only choose from these three options.
Also, explain why this path is the best fit for me.
Prompt Template #2 - Ideal Life
As a life coach, you help people visualize their ideal futures. After reading the
questions below, please map out what my day would look like if I were already
living as the person I dream of being and fully achieving my goals. Include details
about my daily routine, mindset, environment, and the people I interact with. Be
as descriptive and inspiring as possible, while formatting your response into
sections that still read like an inspiring narrative about my life.
Here’s the information you need to know about me:
1. The person I dream of being is [your input]
2. My biggest goals I want to achieve are [your input]
3. The lifestyle I want to live is [your input]
4. The type of people I want to surround myself with are [your input]
Prompt #1 in Practice
Based on the answers I provide below, help determine the best skill path I should take to get the most out of my
“The Complete AI Guide” course. The skill path options are: Entrepreneur, Creative, and Business. Use the answers
to categorize the my goals, work preferences, professional aspirations, and learning style to recommend the best
path out of those three options. Here are the questions along with my answers:
1.
My primary goal with AI is [My primary goal with AI is: to automate repetitive design tasks so I can
focus more on the creative side of my projects.]
2.
I prefer to work in the following way [I prefer to work in the following way: independently, with flexible
systems I can adjust as I go.]
3.
My current professional role or ambition is [My current professional role or ambition is: I’m a freelance
graphic designer looking to build a small creative agency.]
4.
The best description of my approach to learning is [The best description of my approach to learning is:
I’m self-taught and like to learn by doing, with real examples I can apply right away.]
Based on these answers, provide a recommendation for which skill path I should take: Entrepreneur, Creative, or
Business. Only choose from these three options. Also, explain why this path is the best fit for me.
The 6-Step
[instruction] Give it a clear, specific instruction to follow.
What background does it need to know?
How should the response look?
[role]
Who should the AI act like
How should the answer be structured
[boundaries]
Set limits on style, tone, length
Iteration & Troubleshooting Mindset
●
To excel with AI, you need a mindset of iteration and
troubleshooting
●
Review your output, adjust what didn’t work, and keep
tweaking your prompts
●
The more you experiment and iterate, the better the
results will be
●
Practice will help you get closer to what you're looking
for
Modular & Reusable Prompts
●
Modular prompts are templates you can reuse for tasks
that share similar patterns
●
Instead of writing a new prompt every time, you can plug
in specific details for different tasks
●
Over time, you'll build a library of go-to prompts for
different situations. It’s a formula for faster, smarter work
●
Example Prompt:
“Act as a [role]. Analyze this [example input], and
respond in [format] for [context].”
Chat Memory Awareness
●
ChatGPT remembers what you discuss within a thread but
doesn’t retain context across different threads unless
memory features are enabled
●
This means prompts will behave differently depending on
the conversation’s history
●
If your output seems off, try starting a fresh thread for
clearer results
Cleaning Data with Prompts
●
You can use AI to clean up messy data like credit card
statements, meeting notes, or survey data
●
Ask ChatGPT to filter out irrelevant information, then
prompt to work with the remaining data
●
Credit card statement example:
○
○
“Remove any line items not related to travel. Keep
only flights, hotels, rental cars, and public
transport.”
“Add up all the expenses and summarize them by
category.”
Prompt Priming
●
This means preparing a thread with as much relevant
context as possible, before you send the original
prompt
●
Whether it’s text, a PDF, or a link, the more detail you
provide, the better the AI’s response will be
●
Context is key to getting the results you want. The
more information you feed into your thread, the more
specific and accurate the output
Introducing Sam and His Use Case
●
To make these concepts more relatable, let’s meet Sam,
a freelance marketing consultant helping small
businesses
●
In the following examples, Sam will be using AI to create
a product launch plan for a new line of smart home
security cameras
●
This scenario will help guide our exploration of different
prompting frameworks
●
Let’s dive into how these techniques can take your
prompting skills to the next level
Prompt Chaining
●
This framework breaks a task into smaller steps, using
the output from one prompt as input for the next
●
For Sam’s product launch, he can start by asking
ChatGPT to summarize key steps, then build on that with
more detailed tasks like creating a timeline and writing
marketing strategies
●
Each step builds on the last for a well-structured and
coherent plan
●
This framework gives users more control over each piece
of the task.
Chain of Thought Reasoning
●
This approach involves asking AI to think through a task
step-by-step, making sure each part is well-reasoned
●
By explaining why each element is important, the process
becomes clearer and more logical
●
Sam can use this method to understand the key
components of his product launch and why they matter,
leading to a well-reasoned and comprehensive plan
Building Smarter Responses
●
Reasoning models take a similar approach to frameworks
like Chain of Thought and Tree of Thought
●
These models pause before responding, taking the time to
think logically and structure their output. This results in
more well-reasoned, higher-quality responses even when
the prompt is simple
●
Don’t worry if you’re not familiar with reasoning models just
yet—they’ll be explained in more depth later
●
Just know that the frameworks you’re learning here are the
building blocks behind some of the smartest AI tools out
there
Tree of Thought Reasoning
●
Here, multiple ideas are explored before settling on the
best option
●
It’s perfect for tasks that require creative exploration
and evaluating various possibilities
●
In Sam's scenario, this can be used to brainstorm
different strategies for his launch, giving him a range of
ideas to refine before choosing the most suitable one
Ask Before Answering
●
With Ask Before Answering, ChatGPT asks clarifying questions
before giving a response
●
For example:
“Before responding, ask me any clarifying questions about
the target market, the product features, or any specific
launch goals to better understand what I want.”
●
Sam uses this to ensure the AI fully understands the context
that's relevant for the instructions provided
●
This helps make the final plan more relevant and tailored to the
business's needs.
Self-Critique Prompting
●
In this method, the AI model critiques its own work after
generating an output, making improvements for clarity,
structure, and relevance
●
For example:
“Write a product launch plan for smart home security
cameras. Then, critique the plan for clarity, structure, and
relevance, and suggest improvements.”
●
For Sam’s product launch plan, he can ask the AI to write a
draft and then critique it for clarity, structure, and relevance
●
This is a great way to get a polished and high-quality result
before finalizing it
Decision Matrix Generation
●
A decision matrix helps compare multiple options across different
criteria
●
For example:
"Create a decision matrix comparing three marketing strategies
(social media, email campaigns, and influencer partnerships) for a
smart home security camera product launch. Compare them
based on cost, reach, and potential ROI"
●
Which can be valuable in Sam's use case in order to evaluate different
marketing strategies, comparing factors like cost, reach, and potential
ROI
●
This framework provides a visual comparison, helping users make a
more informed decision based on multiple factors
Reverse Prompt Engineering
●
This approach involves analyzing a finished output to figure out
which prompt generated it
●
For example:
“Here is the product launch plan for the smart home
security cameras. Reverse engineer it to come up with the
most likely prompt to have created this plan.”
●
Allowing our Avatar to work backward from a successful
product launch plan, understanding the key elements of the
prompt that led to the output
Choosing a Framework
●
Start with a task that matters to you—like building a
pitch, planning content, or making a tough decision
●
Then match it with a framework that fits
○ Prompt Chaining works best when you’re building
something in steps
○ Chain of Thought is perfect for logical decisions
○ Tree of Thought Reasoning helps when you want
to explore creative directions
More Frameworks to Choose From
●
Not sure what the AI needs from you? Use Ask Before
Answering
●
Want to refine a rough draft? Go with Self-Critique
Prompting
●
Need help comparing options? A Decision Matrix gives
you a clear side-by-side view
●
Pick the one that feels right—you don’t need to use them
all at once
Prompt Chaining Example
●
Prompt Chaining is perfect when you want the AI to help
you complete a multi-step task
●
For example, you can follow this sequence:
1. “Summarize the top three benefits of the
product.”
2. “Write three email subject lines that highlight
those benefits.”
3. “Draft a full announcement email based on those
subject lines.”
Decision Matrix Example
●
When you’re comparing options—like job offers, project
bids, or product strategies—it helps to lay everything
out side by side
●
With a Decision Matrix, ChatGPT can evaluate your
choices based on the criteria you care about most
●
For example:
“Create a decision matrix comparing these three
projects based on pay, timeline, client quality, and
long-term potential.”
Tree of Thought Example
●
Tree of Thought is perfect when you want the AI to
explore multiple strategies before picking the best one
●
You get creativity first, clarity second
●
For example:
"Brainstorm three to five creative campaign ideas
for launching a new AI productivity tool. Using Tree
of Thought reasoning, explore different marketing
approaches. Then, evaluate each idea based on
reach, cost, and fit for a startup budget, and
recommend the best one."
Remix & Reflect
●
Just because you started with one framework doesn’t
mean you have to stick with it
●
Try remixing your task with a different framework—or stack
them for extra power
●
For example, brainstorm with Tree of Thought, then build
out your best idea using Prompt Chaining
●
Frameworks aren’t one-size-fits-all—they’re flexible tools
you can combine in creative ways
Build Your Prompt Library
●
When a prompt works really well, save it
●
Start building your own library of high-performing
prompts you can reuse, remix, or hand off to your
team
●
Having these ready means you’re never starting from
scratch
●
It’s like building your own creative toolkit—and every
great tool saves you time
What Are Tokens
An LLM (Large Language Model) processes massive amounts of data to learn patterns, enabling it to
produce human-like responses and predict the next word in a text when answering questions.
books
websit
es
Here's a book about the
hero's journey in the
perspective of Luke
Skywalker
Here's your website's
new about section using
your unique tone of voice
conversati
ons
I've made a sentiment
analysis of your sales
transcript…
Social
media
I recommend creating
this type of social media
post for your brand
grows
0.7
0.4
falls
tree
hides
forest
0.4
0.3
0.4
covers
river
0.6
0.8
flows
0.3
dries
0.2
Answer missing
context
Chat history
Background information
Response instructions
LLM Output
Too much info? LLMs will only process what fits in their context window.
bike
pencil
transportation
day
violin
running
camera
night
eating
compass
hot
cold
phone
run
stove
hammer
eat
Opposites
Continuous Tense
music
photography
navigation
communicatio
n
cooking
buildin
g
writing
pencil
Object - Function
The
bat
flew
overhead
He
swung
the
baseball
bat
He
swung
the
baseball
bat
“Tokyo is the capital of Japan”
Tokyo
Japan
The artist wants to paint a masterpiece
The artist
Wants 35%
To 50%
Paint 45%
A 60%
Needs 20%
For 15%
Create 20%
The 15%
Plans 15%
And 10%
Draw 10%
His 10%
Loves 10%
By 5%
Imagine 5%
One 5%
Dreams 5%
Because 5%
Capture 5%
With 5%
Masterpiece
70%
Picture 15%
Scene 10%
Memory 3%
Wall 2%
Traditional Software vs. LLMs
●
Traditional software is built using fixed instructions —
it does exactly what the programmer tells it, step by
step
●
Like a calculator, it gives the same answer every time
for the same input — reliable, but rigid
●
LLMs are different, instead of being programmed with
rules, they’re trained on tons of examples
●
They learn to make predictions based on patterns —
adapting their responses depending on the context
Traditional Search vs. Prompt
●
Google is like asking a librarian to fetch books — it
returns existing sources for you to sort through
●
ChatGPT is like asking the librarian to read the books
and write a personalized summary for you
●
Example:
○
○
●
Google: “What are some marketing strategies?” → returns 10
blog posts.
ChatGPT: “Give me a marketing plan tailored to my dog treat
startup using social media” → writes a custom strategy for you.
One finds content, the other builds content
More Than Words
●
You’ve probably heard people say “ChatGPT is just
predicting the next word.”
●
That’s technically true — but it’s also wildly oversimplified
●
Each prediction is built on layers of reasoning, memory,
pattern recognition, and learned associations
●
It’s like saying the human brain is “just” chemicals — it
misses the complexity behind how intelligence really
works
ChatGPT Memory
1.
Memory is Often Misunderstood - Here’s What Matters
a.
b.
2.
You’re Always in Control
a.
b.
3.
ChatGPT doesn’t automatically remember everything you say.
It only saves big, meaningful details (like a new job, product launch, or
major shift).
You’ll always get a heads-up before anything is saved.
Casual ideas, random opinions, and one-off chats are not remembered
unless you approve it.
Important Limits to Know
a.
b.
Memory does not track your tone, writing style, or format preferences —
that’s handled through Custom Instructions.
Memory settings are account-wide, across web, mobile, and desktop —
and stay active until you update or clear them.
Personalized ChatGPT Checklist
Customize and fine-tune your ChatGPT settings and custom instructions to match your
personal or professional needs. These changes will apply to all future chats, tailoring
responses to your preferences. If you prefer default, untailored responses in the future, you
can always disable these features at any time.
✅ Open the “Customize ChatGPT” settings → Access it from your profile menu—this is your control center
for setting preferences that apply across all chats.
✅ Fill out the “What should ChatGPT know about you?” section → Help ChatGPT give smarter responses
by sharing your role, goals, interests, and skill level—like having an AI assistant who actually knows you.
✅ Set your preferred response style → Choose how ChatGPT should sound—formal or casual, short or
detailed, paragraph or bullet points—so replies always match your vibe.
✅ Write a structured instruction (e.g., “always reply in a pros/cons table”) → Show ChatGPT how to
format specific answers for you—it’ll remember and deliver the structure every time, automatically.
✅ Trigger ChatGPT’s Memory by naturally mentioning your goals → Say something like “I’m working on a
personal finance blog” and wait for the memory notification—this builds long-term context without extra effort.
Personalized ChatGPT Checklist
✅ Visit the Memory settings in “Settings → Personalization → Memory” → Review what ChatGPT
remembers about you, edit or delete anything, or toggle memory off if you want a fresh start.
✅ Use a Temporary Chat to bypass memory and instructions → Need a neutral zone? Start a temporary
chat to get unbiased answers—no memory, no instructions, no strings attached.
✅ Override settings in a regular chat (e.g., “Ignore previous instructions”) → Don’t want memory or
custom instructions to kick in? Just say so directly in the prompt—it’s like a manual override switch.
✅ Test your customizations with a real task → Ask ChatGPT something related to your work or daily life
and see how much better it responds now that it's tailored to you.
Where Does Your AI Data Go?
●
Public AI tools may store and review your conversations
to improve their models
●
Data collection happens unless you adjust privacy
settings
●
It's important to understand where your information might
end up when you use tools like ChatGPT
Using AI at Work Safely
●
Treat public AI tools like giant billboard, therefore you
should never share confidential information
●
Enterprise AI tools are better suited for private, sensitive
work tasks
●
Think twice before uploading any names, client
information, or internal documents into public platforms
Safer Prompt Example #1
●
Unsafe: "Analyze confidential Q2 sales figures for
Company X."
●
Safe: "Analyze a sample set of quarterly sales data and
suggest improvements."
●
Always anonymize sensitive details to stay compliant and
protect your company's interests
Safer Prompt Example #2
●
Unsafe: "Summarize the 2025 financial report for XYZ
Corporation."
●
Safe: "Summarize a sample quarterly financial report
focusing on revenue trends and opportunities."
●
Keep client and company names out of your AI prompts
unless using secured enterprise tools
Safer Prompt Example #3
●
Unsafe: "Draft an apology email to our investor Jane
Doe about product delays."
●
Safe: "Draft a professional email informing a
stakeholder about a timeline adjustment."
●
Always remove identifying personal names and
real-world project details
Your Quick Safety Check
●
Before submitting a prompt, ask: "Would I post this
publicly?"
●
If not, rephrase to protect sensitive info
●
Thinking this way keeps you safe, ethical, and professional
Navigating AI Regulations
●
AI regulations are quickly evolving and they impact how
you can legally and ethically use AI tools
●
Always check your company's AI policies to stay
compliant
●
Staying proactive about AI policies positions you as a
forward-thinking leader
Future-Proof Your Career
●
Strengthen skills AI can't replicate: creativity, empathy,
critical thinking, leadership
●
AI can offer ideas, but humans provide meaning,
judgment, and emotional intelligence
●
Your adaptability and innovation are your greatest career
assets in an AI-driven future
Partner With AI, Don't Compete
●
Embrace AI tools as collaborators, not competitors
●
Stay curious, continuously learn, and adapt your skills as
AI evolves
●
Building strong human-AI partnerships will define success
in the coming decade
What is a GPT?
●
A GPT (Generative Pre-trained Transformer) is an
advanced AI model designed to understand and generate
human-like text
●
It’s like a supercharged version of a chatbot, capable of
handling various language tasks — from writing emails to
analyzing data
●
GPTs can be fine-tuned for specific tasks, going beyond
just conversation to handle specialized functions
How Custom GPTs Work
●
And in the context of ChaTGPT, Custom GPTs are like AI
apps, tailored for specific jobs like productivity, coding,
and meal planning
●
Think of them like the many specific apps you have on
your phone — GPS for transportation, or a exercise app
for training routines
●
These GPTs aren’t just prewritten scripts; many offer
unique features, like connecting to external actions, using
specific data sources, or integrating webhooks
Real Use Cases for GPTs
●
GPTs help save time, improve efficiency, and tackle
complex tasks
●
We’ll explore a few standout GPTs that cover tasks like
writing, productivity, research, and creative projects
●
This will give you a taste of how powerful and practical
these tools can be for your daily work and personal goals
Meet Dan: Our Avatar
●
Let’s dive into some real use cases by imagining our
student avatar, Dan
●
Dan is a recent university graduate with a business
major, diving into the world of AI
●
He’s juggling personal goals and a side hustle, ready to
explore how AI tools can make his life easier and more
productive
Exploring GPTs: Your Mission
Now, it’s your turn:
●
Head to the GPT Store and search for one or two GPTs
that match your personal or professional needs
●
Whether it's for your job, a hobby, or even something
random like party planning, the goal is to explore and find
the tools that can help you
●
Start building your own collection of AI tools for easier,
more efficient work
Apply What You’ve Learned
●
Choose a business and identify a real challenge to solve
●
Write a clear, specific prompt describing the problem
●
Select the best ChatGPT tool(s) and map your workflow:
research → draft → visuals
TEMPLATE #1
1.
Choosing the Right Projects
a. Rank projects based on impact and feasibility
b. Align initiatives with business goals
2.
AI as a Decision-Support Tool
a. Provide data-driven prioritization
b. Reduce bias in project selection
3.
What’s Next
a. Deep dive into AI-driven prioritization frameworks
TEMPLATE #2
1.
Challenges in Timeline Management
a. Deadlines shift, dependencies change
b. Manual updates take time and effort
2.
Using AI for Dynamic Scheduling
a. Auto-generate Gantt charts & schedules
b. Adjust timelines as projects evolve
3.
Making AI Work for You
a. Save time and focus on execution
b. Keep teams aligned with minimal effort
TEMPLATE #3
●
AI Adoption Drives Results
○ 99% of AI-driven project managers report
positive impacts
○ Early adopters see lower benefits (61%)
●
Key Areas of Improvement in PM
○ 85% of AI project managers see better quality,
scope, cost, and schedules
○ Compared to only 40% of early adopters
●
What’s Next?
○ Deeper integration of ChatGPT into workflows
○ AI for planning, prioritization, and automation
How AI Generates Images
●
Trained on millions of images: AI learns patterns, colors,
shapes
●
Builds from scratch, pixel by pixel—no templates, no
cut-and-paste
●
Starts with static noise, gradually forms a complete, vivid
picture
GANs: The Creative Duel
●
Generative Adversarial Networks (GANs)
●
Generator: produces fake images designed to look real
●
Discriminator: tests each image, spotting fakes vs. real
●
A continuous feedback loop that sharpens both—like an
endless art battle
VAEs: Compress, Imagine, Rebuild
●
Encodes data into latent space—an abstract,
compressed version
●
Samples points from that space to create new, realistic
images
●
Great for generating smooth, controlled variations—never
just copies
Diffusion Models: From Noise to Art
●
AI learns both to destroy (add noise) and rebuild
(remove noise)
●
Begins with pure static and sculpts it into clear,
detailed images
●
Excels at producing high-quality, diverse
outputs—but slower than GANs
How Text Becomes an Image
●
AI decodes your words: turns prompts into color,
shape, and mood
●
Clearer, more detailed prompts = sharper and more
accurate images
●
Think of it like a chef: your prompt is the recipe for the
final dish
Models in Action: Visual Metaphors
●
GANs: speed painters—quick, convincing results, but
can repeat
●
VAEs: architects—compress & rebuild with creative
flexibility
●
Diffusion: sculptors—carve detailed images from pure
noise
Today’s Top AI Image Tools
●
MidJourney: stylized, dreamlike visuals, web based app
●
4o Image Generation: precise, flexible prompt
understanding; built into ChatGPT
●
Stable Diffusion: fully customizable, open-source,
community-powered