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Applied AI · Beginner 🟢 · Session 10
📝 Teacher's Guide
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Teacher's Guide — Session 10 🟢

« My AI project & my future with AI »

Program : Applied AI — Beginner Level (from 12 years old, general public) Instructor: Yann Isola Duration : 2 hours (with break and project presentations) Status : 🎓 FINAL SESSION — conclusion of the beginner course (Sessions 1 to 9)

🎯 Educational objectives

At the end of this last session, each participant must be able to:

  1. Summarize the journey — restore the big ideas of the 9 sessions in your own words (data, learning, prompting, creation, ethics, critical thinking)
  2. Design a mini AI project — imagine a useful, realistic and responsible AI application, following a simple framework
  3. Pitch your project — present your idea in 2 minutes in front of the group, with minimal support
  4. Name 3 professions linked to AI and 3 human skills that will increase in value tomorrow
  5. Leave with a plan — know concretely how to continue learning after the course (resources, practices, communities)
  6. Formulate your personal commitment — a sentence “Me and AI, starting tomorrow…”

💡 Philosophy of the session: It’s not an exam, it’s a celebration. The participants arrived not knowing what an algorithm was; they leave able to imagine, criticize and present an AI application. The session should give them pride and the momentum . Your role: caring conductor, not judge.

⚠ Overall point of vigilance: this is the most “social” session of the course (team work + speaking). Some participants — especially the youngest or shyest — may get stressed at the idea of ​​pitching. Plan alternatives (pair pitch, seated pitch, poster commented by the teacher). No one should leave with a bad experience.

📋 Materials required

Plan B without internet: the entire session works offline. The “test your idea with a chatbot” step becomes “test your idea with another team” (cross-feedback) — it’s often even richer!

⏱️ Unfolded minute by minute (120 min)

Time Duration Sequence
0:00 10 mins 1. Home + “The great journey”: summary of the 9 sessions
0:10 10 mins 2. Express review quiz (10 multiple choice questions, in teams)
0:20 10 mins 3. Launch of the final project: the brief + examples
0:30 25 mins 4. Project workshop — phase 1: idea + framework
0:55 10 mins ☕ PAUSE (the posters remain in the room)
1:05 15 mins 5. Project workshop — phase 2: poster + pitch preparation
1:20 20 mins 6. 🎤 Project presentations (2 min pitches + vote)
1:40 10 mins 7. Professions & skills of tomorrow
1:50 7 mins 8. How to continue learning + personal commitment
1:57 3 mins 9. Closing remarks + graduation ceremony 🎓

⚠ Time management: phases 4-5-6 are the heart of the session and ALWAYS overflow. Be strict on the pitch timer (2 min max, announced out loud 30 s from the end). With more than 5 teams, reduce to 90 sec per pitch.

1. Home + “The great journey” (10 min)

Format: timeline on the board (or slide 3) reconstructed WITH the participants.

Draw a route in 9 steps on the board. For each session, ask: “Who remembers what we did?” An idea, a word, a memory? »

Reference points to bring out (complete if necessary):

Transition sentence: “You have all the pieces of the puzzle. Today, we put together: YOU become AI designers. »

⚠ Do not turn this sequence into a catch-up lecture. 10 minutes max, fast pace, collective memory game atmosphere.

2. Express review quiz (10 min)

Format: the 10 multiple choice questions quiz/quiz.md , projected or via the web page (Quiz section). In teams of 3-4 (these will be the project teams!), response by show of hands or slate A/B/C/D.

Hidden objectives:

💡 Correct on the fly in one sentence per question. The detailed correction is in quiz/quiz.md — participants can collect it after the session.

3. Launch of the final project (10 min)

The brief (read as is, it’s the contract):

“As a team, you will invent an AI application useful , realistic And responsible . No need to code: you are the architects of the idea. In 1 hour, you will present it to the group in 2 minutes. The public will vote for their favorite projects. »

The 3 golden rules (slide 8):

  1. Useful : it solves a real problem, for real people (who?)
  2. Realistic : it uses AI capabilities that we saw in class (text, image, sound, prediction, recommendation, etc.)
  3. Responsible : you have thought about data, biases, risks (session 6!)

Give 2-3 calibrated examples to unlock the imagination (without imposing them):

⚠ Classic trap: “magical AI that does everything” ideas (robot that does homework, AI that predicts the future). Answer: “Exactly what current AI capability are you using?” What data? » Always bring it back to the concrete.

4. Project workshop — phase 1: idea + framework (25 min)

Format: teams of 3-4. Distribute the “Project canvas” sheet (exercises/exercises.md ).

Recommended procedure for teams:

Your role: traveling coach. Come see each team. Follow-up questions:

⚠ Team stuck at 10 minutes? Propose the “idea generator” of the web page (cross domain × AI capacity) or give them an imposed domain (school, sport, family, planet, health). ⚠ Team that finished in 10 minutes? Push further: “What if 10,000 people used it? What new problem appears? » (privacy, cost, bias, etc.)

☕ BREAK (10 min)

The posters and canvases remain in the room. Take advantage of this to identify the teams that will need help with the pitch, and prepare the running order (start with a comfortable team to get the momentum going).

5. Project workshop — phase 2: poster + pitch (15 min)

Deliverable: an A3 poster with at least: name of the project, drawing/diagram, “for whom?” ", "what problem? », “how does AI help?” », “a risk + our solution”.

Preparing the pitch (template in exercises/exercises.md ) :

  1. The hook (15 s): the problem, told as a mini-story
  2. The solution (45 s): name + what the app does + the AI ​​capacity used
  3. Responsibility (30 s): an identified risk + how to manage it
  4. The fall (15 s): “Imagine a world where…” + the name of the project

Ruler : everyone speaks at least one sentence during the pitch (adaptable for the very shy — see vigilance at the top of the guide).

⚠ Have each team repeat at least once with a stopwatch in hand. A pitch repeated once is twice as good.

6. 🎤 Project presentations (20 min)

Format: each team pitches for 2 minutes, poster visible. Obligatory applause 👏. One question from the public OR the teacher per team (30 seconds max).

Order of passage: displayed on the board. You are master of the time: signal at 1:30 min, firm stop at 2 min (with a smile).

Public vote: each participant has 2 votes (post-its or stickers) to stick on the posters — no voting for your own team. Categories of “prizes” to be announced (everyone wins something):

⚠ Make sure EACH team receives an award or explicit mention. It's a party, not an elimination competition.

📊 Project evaluation grid (for the teacher)

To be completed during pitches. Benevolent grading: it is a feedback tool, not a sanction. Share one strong point + one piece of advice per team.

Criteria 🌱 In germ (1 pt) 🌿 Solid (2 pts) 🌳 Remarkable (3 pts)
Utility Vague problem Clear problem, identified audience Specific problem + demonstrated concrete benefit
AI Realism “Magic AI” AI capacity identified Capacity + data + limits explained
Responsibility Not addressed 1 risk cited Risk + credible solution
Pitch Confused/read Clear and structured Alive, memorable hook + fall
Team 1 only speaks Shared roles Real visible complementarity

Reading the scores: 5-8 = great first step 🌱 · 9-12 = solid project 🌿 · 13-15 = startup seed 🌳. The score is ONLY used to provide constructive feedback.

7. Professions & skills of tomorrow (10 min)

Format: interactive — “In your opinion, which professions work with AI? » then complete with the slides.

Professions to discuss (choose according to the audience):

Skills that gain value (the real message):

  1. Critical thinking — check, question (S9)
  2. Creativity — ask the right questions, imagine (S8)
  3. Communication — explain, convince (today’s pitch!)
  4. Learn to learn — the world is changing quickly, this is THE meta-skill
  5. Empathy & collaboration — what machines do not replace

Key phrase: “AI is not going to take your job. But maybe someone who knows how to use AI. So be that person. »

⚠ Do not dramatize or promise wonders. Honest tone: some jobs will change, others will appear. The best insurance is curiosity.

8. How to keep learning (7 min)

The “what now?” plan » (slide + web page, Compass section):

  1. Practice : use a chatbot 10 minutes per week with a real objective (revise, write, translate, code, etc.) while keeping the reflexes of S4 and S9
  2. Create : repeat the project exercise with family/friends; test creation tools (images, music) seen in S5
  3. Form : free resources — Elements of AI (fr), Pix, popular videos (Science Étonnante, Underscore_, Machine Learnia…), workshops in the media library
  4. Stay critical : follow AI news with the reflexes of the S9 — cross-reference sources, be wary of sensational headlines
  5. Continue with Applied AI : the intermediate level exists for those who want to go further 🚀

Personal commitment: everyone writes a sentence on a post-it that begins with “Me and AI, from tomorrow, I…”. Voluntary reading of some. The post-its go with them (it’s their contract with themselves).

9. Closing remarks (3 min) 🎓

To be said in your own words, but the spirit is there:

“Ten sessions ago, AI was magic or a vague threat to many of you. Today, you know how she learns, how to talk to her, what she can do, what she CANNOT do, and above all: you proved this afternoon that you could imagine her AT YOUR service.

Remember three things. One: AI is a tool — powerful, imperfect, made by humans. Two: your critical thinking is worth more than any algorithm. Three: the future of AI is not written — it will be what YOU make of it, as users, citizens, and perhaps creators.

You are no longer spectators of the AI. You are actors. Thanks for these ten sessions — now it’s your turn. »

Graduation ceremony 🎓 (if printed), group photo with posters (with agreement of participants/parents), final applause.

⚠ GDPR & picture : no photo published without written authorization (minors: parental authorization). Useful reminder even at the end of the course — consistency with session 6!

🧰 Appendix — Teacher FAQ

“A team really wants to code its project, what should I do? » Well done to them! Direct towards no-code/low-code tools (Scratch + AI extensions, Google Teachable Machine) and the intermediate level of the course. But during the session, stay at the concept stage: equality between teams is paramount.

“One participant says that all this is useless because AI will replace everything. » Refer to S7 (the AI ​​tool in the professions) and to sequence 7 of the day: history shows that technologies displace work more than they eliminate it — and that the human skills listed remain the decisive factor. Welcome the worry, it is legitimate; respond with facts and agency.

“We only have 5 participants, teams are impossible. » Make 2 teams of 2-3, or a single collective project where you play the demanding customer. The pitch becomes a presentation to the “investment committee” (you).

“I have 10 minutes left, what should I do? » Round table: “Your biggest surprise of the course? » One sentence per person. This is often the best moment of the session.

Guide written for Applied AI — Beginner Level, Session 10/10. Have a good flight to your participants! 🚀