The Verdas AI Academy
Discover the future today!
At Verdas AI, we believe in harnessing the true potential of Artificial Intelligence (AI). Embark on a transformative journey with us, exploring the intricacies of AI from its foundational concepts to its ethical implications. Explore our wide range of training courses – whether you’re a novice or an expert, we have something for everyone!
Our Courses
IEEE CertifAIEd ™ Assessor Training
Elevating AI Ethics Through Comprehensive Certification.
Deepen your knowledge of social responsibility in autonomous intelligent systems and the IEEE CertifAIEd™ approach. This comprehensive course covers everything from the basics of AI Ethics to the specific criteria for IEEE certification. Engage with a community of AI Ethics experts and pave your path to becoming an IEEE CertifAIEd Authorized Assessor.
Introduction to AI
Explore the fascinating world of AI, from its basics and history to deep learning, neural networks, and the transformative power of generative AI in our interactive course.
Introduction to AI Ethics
Dive into AI ethics with our comprehensive course, covering key ethical theories, real-world case studies, and the importance of fairness, transparency, and accountability, to develop an ethical mindset for AI endeavors.
Introduction to Responsible AI
Learn to implement ethical principles in AI development and deployment, covering best practices, tools, frameworks, and regulatory compliance, while building a culture of responsibility and creating fair, transparent, and accountable AI systems.
Introduction to Using Generative AI
Gain practical skills in prompt engineering and harness the power of generative AI in your projects, learning about large language models, ChatGPT, and effective prompt crafting through hands-on exercises.
AI for Marketing
Transform your marketing strategies with AI, learning to enhance data analysis, customer engagement, personalization, and predictive analytics for improved marketing performance and competitive advantage.
Leadership in the Age of AI
Enhance your leadership skills in the digital era with our course on adapting to the unique challenges and opportunities presented by AI, exploring leadership styles, peer coaching, and actionable strategies for success.
Using AI Responsibly
Equip your team with practical strategies and best practices for integrating AI tools responsibly and ethically, ensuring compliance with regulations, and fostering a culture of transparency and accountability in daily work.
Identifying AI Use Cases
Identify and develop AI applications tailored to your business needs, learning to map workflows, address pain points, and craft effective AI solutions through structured approaches and hands-on exercises.
AI for Startups
Coming soon!
Introduction to Explainable AI
Coming soon!
Designing AI with ISO/IEC/IEEE 24748-7000:2022
Coming soon!
Working Models for AI
New dates and updates coming soon!
Introduction to AI Quality
Available upon request.
Introduction to AI Standards & Regulation
The training covers a wide range of topics from AI applications and standards, ethics, data protection, existing legal frameworks to an insight into the current status of specific AI-related regulations such as the EU AI Act.
Practical Reinforcement Learning
Dive into RL to control complex systems, optimize decisions, and build advanced AI models that tackle real-world challenges.
Practical Software Engineering for Machine Learning Applications
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Why Choose Us?
Expert Trainers
Ensure that your AI systems are compliant with the latest regulations and standards, mitigating the risk of non-compliance penalties and reputational damage.
Enhanced AI Quality
Benefit from robust AI models that deliver accurate, reliable, and consistent outcomes, helping your organization make data-driven decisions with confidence.
Competitive Advantage
By aligning your AI systems with industry standards and best practices, you can differentiate your organization from competitors and position yourself as a leader in the AI space.
Discover Learning Paths
AI Officer
- For: AI governance leads, ethics officers, compliance officers
- Objective: Understand AI fundamentals, ethics, regulatory compliance, and leadership in AI governance.
Project Manager
- For: Product managers and business leaders overseeing AI projects
- Objective: Learn to lead AI projects responsibly, ensuring alignment with business goals and regulatory standards.