MinnaLearn Facilitator's guide Elements of AI for Business

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1. Elements of AI
for Business
 Facilitator’s guide to 
Copyright © 2024 MinnaLearn. Unauthorized use, copying, distribution or modification is prohibited.

2. Hi, fellow Facilitator
Elements of AI for business is a learning program
where students explore the foundations of AI and
create experiments to put their learnings into
practice.

This guide includes detailed information about the
program so that you can promote it internally and see
if it is a fit for your company participants.

Enjoy,
Sampo Leino / Head of Learning

3. Table of Contents
What is it?
Who is it for?
Example learning group
Program scope - participant fit
Direct benefits
Overview of the Teaching kit
Price breakdown
Program Design
Overview
Flow
Learning objectives breakdown
Time usage breakdown
Program attendance
Kick-off
Workshops
Experiment at work
Certificates
Miro boards











Teaching Kit The steps for using the
Teaching kit


Overview
Breakdown

Self-study material

Online
Achievements
What is AI?
Machine Learning
Neural networks
Implications






Surveys
Maximizing impact
MinnaLearn
Who we are?
Our engaging learning method
Feedback from participants




The information in this document is subject to change.
Created 2/2024. Not for public distribution.

4. What is it?
The Teaching kit is a collection of
resources that enables you to run the
Elements AI for Business learning
program in your organization.

The Teaching kit lowers the barrier for
delivering AI learning with pre-designed
course content and workshops.

Facilitated by you, your participants will
form a shared understanding of the
fundamentals of AI and explore practical
use cases.

5. Who is it for?
Company profile

For companies with a workforce
of knowledge workers.

Companies that build learning
paths for their employees and
invest in meaningful ways to
grow and progress.



Facilitator profile

A person with prior experience of
running workshops and facilitating
meetings.

Doesn’t need to be an expert in AI,
coach or trainer. Motivation to learn
and grow is the key.

Role that allows to use time for
facilitating the learning experience.


Participant profiles

The key focus is on knowledge
workers. Participants have a role in
shaping ways of working and the
company offering.

Exercises require the participants to
identify key challenges in their work
and solve them with AI solutions. This
allows for various departments to join in
and share insights.

Participant wants to learn foundations
and try AI applications.

This is not a hard skill level program for
coders.

6. Example learning group:
Elements of AI for business
Communication
designer
Business
development
director
Business design
manager
Head of
marketing
New business
development
Data scientist
Online sales
development
manager
Recruitment
manager

7. My primary interest in developing AI
algorithms and programming, rather
than its business applications?
I want to want to understand
basics to make business decisions
I want to experience AI tools in my
work and start ideating solutions for
my team and end customers
I’m quite familiar with the basics of AI
and I want to code an AI feature in our
product
I follow the instruction of my
superiors at work and just want
to do my tasks
I do physical work and want to
improve my practice
Fit
An advanced hard-skill program could be
more suitable for these participants
Learning about AI fundamentals could be useful,
but the workshops might not be suitable for
participants like these
Program scope & participant fit

8. Saves content creation
and planning time =
money!
Validated program
Developing new teaching materials
and hands-on workshops can take a
significant amount of time. The
Teaching Kit significantly cuts learning
development time.
Start immediately with a program
that is tested in practice and has
been proven to work across
industries.
Direct Benefits
Productized solution
We continuously make
incremental improvements to our
content, workshops and tools to
improve and evolve the
experience for both our
facilitators and learners.

9. Teaching Kit
Elements of AI
for Business
Run the Elements of AI for business
learning program yourself.
●License to operate Elements of AI for Business
●Workshop templates that guide student discussions
and enable powerful prototyping experiences
●Self-study material developed together with the
University of Helsinki
●Learning outcome surveys
For internal facilitators, coaches and trainers
License cost: €249 / month (Billed annually)
Including 1 facilitator / 50 students
Get the Teaching Kit

10. 1 x Facilitator
One facilitator from your
company gets a license to
our Teaching Kit. This allows
the facilitator run the
Elements of AI for business
program in-house for 50
participants.

50 x participants
Program cohorts are typically
6-10 participants. The size can be
adjusted to individual company
needs.

Additional participant seats can be
easily added to a Teaching Kit
subscription.
Price breakdown
A yearly
subscription to the
Teaching Kit
enables a facilitator
to train up to 50
employees per year.

11. Program Design

12. Program Design Program overview
Elements of AI for Business
Create a common understanding of AI
in your organization and explore
practical use cases.
A four-week learning journey including:
1.Selected chapters and exercises from our
*award winning Elements of AI course
2.Three 2½ hour workshops
3.Taking it to practice: identify challenges to
solve with AI tools and conduct an experiment
at work
4 week learning
program
for groups of 6-10
participants
designed for knowledge
workers & decision makers
*Elements of AI is the World’s #1 Computer Science online
course – ahead of Stanford, Harvard, and MIT. -Class Central

14. Program Design Learning Objectives Breakdown
✔
Understand key AI concepts and differentiate between practical AI and science fiction.
✔
Recognize the significance of machine learning techniques.
✔
Differentiate between unsupervised and supervised learning.
✔
Comprehend supervised classification methods, including nearest neighbor, linear regression, and logistic regression.
✔
Define neural networks and their successful applications.
✔
Grasp the underlying techniques of neural networks.
✔
Evaluate predictions and claims about AI's future.
✔
Understand AI's societal impacts: algorithmic bias, AI-generated content, privacy, and employment.
✔
Apply the fundamental knowledge of artificial intelligence in conversation with colleagues
✔
Analyze business perspectives through an AI lens.
✔
Prototype solutions using AI tools

15. Program Design Time usage breakdown
Facilitator
Teaching kit handover 1h
Getting to know the kit 2h
Preparing to run the first program cohort 2h
Kick-off session facilitation 1h
1st workshop facilitation 2,5h
2nd workshop facilitation 2,5h
3rd workshop facilitation 2,5h
Reflecting the study results 1h
All together 14,5h
Kick-off session 1h
Study period 1 1h
1st workshop 2,5 h
Study period 2 5 h
2nd workshop 2,5h
AI experiment 4h
Study period 3 2 h
3rd workshop 2,5 h
All together 20,5 h
Program participant

16. Program Design Program attendance
The suggested number of participants for one program
cohort is 6-10 people. Our program is designed for small
group discussions and exercises that allow everyone's
insights to shine and be heard.

●The whole program be can run remotely, live or
hybrid.
●For collaboration we use Miro, which our templates
are built in. It allows participants to join in without
prior skill in the tool.
●For the facilitator, prior Miro and hybrid workshop
experience is a benefit.
Program Design

17. 1 hour group meeting that builds shared
expectations, engagement and excitement for the
participant.
●Facilitator introduces the course
●Participants sign in to the self-study
material
●Pre-surveys are filled
●held 1-3 weeks before the first
workshop

After the kick-off:
Participants are ready and equipped to start
the first self-study session.

Kick-off
Program Design

18. Workshops are 2,5 hour long sessions where the
facilitator guides the group toward their goals.
Recommended workshop spacing
●The 1st and 2nd workshop are a week apart.
There is 2 weeks between the 2nd and the 3rd
workshop. This allows enough time for study
and experimenting at work. The schedule can
be adjusted to the needs of each cohort.
●The facilitator runs the workshops using
Miro as a collaboration tool.
●Cohorts use their preferred choice of video
conferencing (Google meet, Teams, Zoom, etc.)
After the workshops
Participants have a shared understanding of AI
fundamentals and have tested use cases for their business
Workshops
Program Design

19. Experiment at work
Program Design
AI experiment at work
In this exercise participants run their own AI experiments.
They start by identifying problems (either their own or customer’s)
and then ideate an AI solution.
Experimentation is done in the final study period after which
participants share their results and learnings.
Identifying problem Solution ideation Experiment Presenting results

20. Certificates
Program Design
Certification requirements
Completing the study
chapters, actively participating
in the workshops and running
the AI experiment.

21. Workshop templates
Collaboration in the workshops is
done in Miro.
Our kit includes templates for all workshops from the
beginning to the end. Pair discussion, exercises,
experiments - all designed and tested.
The facilitation can be done with a free Miro account,
though the paid version brings a few useful features.
No prior use of Miro from the participants is required.
Participants can join the board without creating
accounts.
Clear prompts are in place to help the facilitator to steer
the group.
The cohort specific details (starting time, group goals
etc.) are filled by the facilitator.
Program Design

22. The steps for using the Teaching Kit

23. Get access to
Teaching Kit
materials
Get familiar with
materials
Coaching
Steps
Run first
program
Gather
results
Check-in
These are the steps for the Facilitator to run the
1st Elements of AI for Business Learning Program
with success.
Process Flow
Steps

24. Steps
BreakdownSteps
Teaching Kit Handover 60 min online meeting between MinnaLearn and the Facilitator.

Getting familiar with materials The facilitator goes through the Teaching Kit material

Coaching 1 hour coaching between MinnaLearn and the facilitator. Deep dive
into the workshop facilitation and program managing

Running first program The facilitator runs the program
Gathering results The facilitator gatherers the survey results from the participants and
reflects on their own actions
Check-in 30 min online meeting between MinnaLearn and the Facilitator

25. Self-Study Material

26. Online
Self-study material
Participants study select chapters from our award
winning Elements of AI course.

●Content is highly validated with over million
students around the world
●Made together with Helsinki University.
●Material last updated in September 2023.

27. ●Class Central: Best online courses of all time and #1
online course in Computer Science
●MIT Inclusive Innovation Challenge, ‘Skills Development &
Opportunity matching / Winner
●Fast Company most innovative companies, Education /
Silver
●German Design Award / Winner
●Grand One, Grand Prix best campaign / Winner
●Webby, Best visual design / Honoree
●SXSW Innovation Awards, ‘Connecting People‘ / Finalist
●Visuelt, ‘Digital design‘ / Winner
●Vuoden huiput, ‘Products‘ / Winner
●CogX, Innovation: Education / Finalist

Achievements
Self-study material

28. What is AI?
Self-study material
Will a robot take my job? How is artificial
intelligence likely to change my job in the
next ten years? Where are AI
technologies being used right now and
where will they come next?
After completing Chapter 1 you should be able to:
✔Explain autonomy and adaptivity as key concepts for
explaining AI
✔Distinguish between realistic and unrealistic AI (science
fiction vs. real life)
✔Express the basic philosophical problems related to AI
including the implications of the Turing test and Chinese
room thought experiment

29. Machine Learning
Self-study material
It has been long understood that learning
is a key element of intelligence. This
holds both for natural intelligence - we all
get smarter by learning - and artificial
intelligence.
After completing Chapter 4 you should be able to:
✔Explain why machine learning techniques are used
✔Distinguish between unsupervised and supervised machine
learning scenarios
✔Explain the principles of three supervised classification
methods: the nearest neighbor method, linear regression,
and logistic regression

30. Neural Networks
Self-study material
Areas like natural language and image
processing have traditionally been sore
points of AI. Neural networks and deep
learning are being used to achieve
significant improvements in these areas.
After completing Chapter 5 you should be able to:
✔Explain what a neural network is and where they are being
successfully used
✔Understand the technical methods that underpin neural
networks

31. Implications
Self-study material
“I believe that the more you know
about the past, the better you are
prepared for the future.”

Theodore Roosevelt
After completing Chapter 6 you should be able to:
✔Understand the difficulty in predicting the future and be able
to better evaluate the claims made about AI
✔Identify some of the major societal implications of AI
including algorithmic bias, AI-generated content, privacy,
and work

32. Surveys

33. Maximizing Impact: Measuring
Learning Success with Targeted
Surveys
To effectively measure the impact of the learning program, we
help the facilitator conduct pre- and post-course surveys. Both
surveys are validated and ready to use.
The pre-course survey measures participants' baseline
knowledge and goals, allowing the facilitator to steer the group
accordingly.
The post-course survey, on the other hand, assesses the
knowledge gained and the overall experience with the training.
By comparing the results of these surveys, the facilitator gains
valuable insights into the course's effectiveness and areas for
future improvement, ensuring a continuously evolving and
impactful learning experience.
Surveys

34. About
MinnaLearn

35. ●Our learning method combines flexible self-study with
collaborative peer groups and measurable outcomes.
●We prepare teams for the future of work with courses ranging
from AI and Agile methods to soft skills.
●Established in Helsinki, we make high quality Finnish education
available to everyone.
35
Class Central ranked
Elements of AI as the
World’s #1 Computer
Science online course –
ahead of Stanford, Harvard,
and MIT.
1 million+
Students
We run collaborative
learning journeys with
unrivalled engagement
Rating by our students
4.6/5

36. Three ways we create
learning engagement

Top notch self-study material

Our students agree we
make complex topics
understandable and build
good learning
experiences online.
Group Learning

Learning together with
colleagues creates social
commitment, a shared
understanding and an
opportunity to relate the
lessons back to work.
The facilitator brings out the
learners internal goals and
motivations leading to
higher engagement. This
also helps scalability as
experts are less accessible.
Facilitator led training
instead of instructor lectures

37. Thank you!
Ossi Lehto
[email protected]
[phone]