4 Weeks
·Cohort-based Course
Safeguard your business against risks related to AI applications and learn how to apply AI to your benefit without sacrificing safety.
4 Weeks
·Cohort-based Course
Safeguard your business against risks related to AI applications and learn how to apply AI to your benefit without sacrificing safety.
Previously at
Course overview
As business leaders, we cannot ignore the AI trend anymore - it is out of question that we moved from hype to need.
If you don't implement it, your employees will use ChatGPT, Claude and others - voluntarily giving away company data...
Deloitte for example gave access to 75k of their employees.
How will you steer your AI initiatives to unlock productivity and stand the test of time?
If you are too fast, hackers use your initial AI use case as an open door and get in with prompt intrusion techniques or techniques like "logical appeal" or "framing".
Where to find the balance while ensuring safety, compliance, and ethical standards?
We've distilled insights from hundreds of hours of research and interviews with global thought leaders in AI-related cybersecurity, ethics and compliance, so you don't have to.
Let's discover the principles, strategies and protocols for integrating Resilient & Responsible AI.
We will go through the essential aspects of AI safety, including data privacy, bias mitigation, regulatory compliance, and more, with a special focus on Large Language Model (LLM) use cases.
Learn the needed frameworks for risk modeling, impact assessment, and human-in-the-loop, so you can easily implement your policies.
We also share methodologies to assess your AI maturity and take a look at what is coming, so you can remain FUTURE-READY as regulations evolve!
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Business leaders seeking preparing to integrate AI safety and ethics within implementations
02
Product managers and team leads facilitating AI-driven projects guided by safety-first principles
03
Technical leaders aiming to understand AI safety, including Data and IT leaders accountable for enabling secure analytic pipelines, testing
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Compliance heads and legal counsels tasked with advising teams on privacy, transparency and responsible innovation mandates
Clear understanding of AI safety principles
Gain literacy on key AI safety dimensions - robustness, transparency, bias, and regulatory compliance. Understand proven models to assess attacks and harms while balancing innovation and user expectations. Evaluate your AI systems for resiliency, fairness, and compliance.
Practical strategies for implementing AI safety in business
Operationalize AI safety by setting the guardrails and needed stress tests for robustness against realistic manipulations. continually assess downstream impacts, implement human oversight - and leave with actionable playbooks to implement.
Ability to lead AI initiatives responsibly and ethically
Be equipped to set the pace on robust AI integration through risk modeling, impact assessment and policies that proactively address dangers and harms while promoting safety and empowering people.
Networking with industry leaders and peers
Build valuable connections with senior professionals and like-minded peers and guest speakers to exchange insights on leading safe and ethical AI implementations.
SAVE $7'237.5 if you enroll now
• 12h Live Course via Zoom with 3 industry experts ($3'600 value)
• AI Frameworks ($2'500 value)
• Interviews with industry veterans ($1'100 value)
• 50% Discount on our AI Safety Membership ($498.5 value)
• AI Safety Booklet ($36 value)
Total Value: $7'734.5
Price: $997
Live sessions
Learn directly from Jeremy Prasetyo & Jonas Surmann in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
8 live sessions • 14 lessons
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Bayer AG
Jonatas Martin
Klarna
Idealo
Saksham Seth
OneFootball
TIER Mobility SE
Shieldify Security
Ria Money Transfer
Spark Networks
AI Consultant, Co-Founder of TRUSTBYTES, World Champion Athlete
𝕏 Twitter
Jeremy Prasetyo brings a multifaceted perspective as an athlete-turned-technologist, breaking down complex topics into simple frameworks.
Specialized in securing and scaling exponential technologies, he will transform AI safety concepts into actionable insights.
He draws parallels between elite sports, business and AI domains.
Jeremy’s accomplishments speak volumes – from collaborating with renowned global brands to guiding organizations through the intricacies of AI solutions.
Startup Founder at the intersection of AI & Cybersecurity, Co-Founder of TRUSTBYTES
𝕏 Twitter
Jonas has 10 years of experience as an engineer as wells as a founder of 2 successful startups at the intersection of Fintech, Web3, Cybersecurity and AI, being able to gain 2000+ customers and >$20m in AuM within just 5 months after launch.
Currently, he is building TRUSTBYTES with his 2 co-founders Marc and Jeremy, where they leverage AI to make Web3 more secure and safe. Working in Web3, he has seen first hand that a lot of new attack vectors are enabled through AI, next to all the fascinating AI applications that come with GenAI.
Before he has worked for Boston Consulting Group (BCG), Western Digital (WD) and ABB.
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3-4 hours per week
Tuesdays & Thursdays
1:00pm - 2:30pm EST
90 min LIVE sessions each Tuesdays & Thursdays including interviews and guest speakers
Course project (optional)
1 hour per week
Apply your gained knowledge and team up with your peers to work on a project throughout the 4 weeks of the course
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Active hands-on learning
This course builds on live workshops and hands-on projects
Interactive and project-based
You’ll be interacting with other learners through breakout rooms and project teams
Learn with a cohort of peers
Join a community of like-minded people who want to learn and grow alongside you
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