Challenge Based Learning

NOTE: For any questions, feel free to reach out to:

education@fruitpunch.ai

Our AI for Good Challenges allow you to build production ready state-of-the-art AI solutions for impact organizations that contribute to the SDG's, in 10 weeks. During the Challenge you will be guided and mentored by a team of AI experts to make sure you'll reach your learning goals and make a positive impact. The best part? By the end you're a certified AI for Good Engineer!

Engineer, mentored by experts.

Start your AI for Good Engineer journey and achieve your AI learning goal in 10 weeks by joining Challenges, follow bootcamps & masterclasses.

1-on-1 Mentor sessions
Real-world project
Personalized learning journey
Positive impact
Teamwork
Authorized certificate
Often eligible for self-development budget

The program

Onboarding (1 week)

Onboarding on our platform & Slack, digital skills assessment, determining their current skill tree
1-on-1 onboarding with AI expert mentor to assess their skill level & determine learning goals, examples of tracks:
- MLOps Engineer
- Data Engineer
- ML Engineer
- Product Owner
Set learning goals in the platform & determine the role & tech domain they will work on
Develop their personal learning journey based on the delta between the current skills & skillset associated with the target role
Get recommendations on courses to follow by AI expert, based on their unique learning needs

Participate in AI for Good challenge (10 weeks) - examples of challenges

Kickoff with challenge owner - examples of challenge owners: Stanford professors, marine biologists, Greenpeace activists, government officials.
AI & domain Masterclasses
Join a subteam & assigning a role based on learning goals
Weekly meetings with the challenge owner to discuss progress, ask questions & course correct
Weekly subteam meetings to discuss blocks, strategize next steps & determine deliverables
Asynchronous contact during working hours with expert AI mentor on Slack & email for questions & support
Bi-weekly 1-on-1 Mentoring calls to discuss progress on learning goals, determine new learning resources, ask questions
Midterm presentation to challenge owner
Endterm presentation to challenge owner
Writing of publication about the challenge & open-sourcing the code (some participants)

Assessment & Accreditation (1 week)

Peer review: The engineers do a peer review where they rank the performance of each other on specific skills. Skills on which engineers score in the 80th percentile will be accredited with a ‘skill badge’ and added to their skill tree. These skills have been shown in their real-world performance in the challenge.
Mentor assessment: The engineers are assessed on the skills in their learning goal by their expert AI mentor
Certification: They receive a certificate representing all the skills accredited, the challenge they completed which is now part of their portfolio.

FruitPunch AI Challenge Based LearningFruitPunch AI B.V.

FruitPunch AI Challenge Based Learning

FruitPunch AI B.V.

FruitPunch AI Challenge Based Learning

FruitPunch AI B.V.

FruitPunch AI Challenge Based Learning
FruitPunch AI B.V.