What You will Learn
This course is designed for university students, corporate and SME leaders to cultivate an understanding and implementation strategy for ethical and responsible AI within their organizations. It delves into the principles of ethical AI, governance frameworks, stakeholder engagement, and the practicalities of integrating ethical considerations into AI projects and policies.
Job Opportunities
- Junior Data Analyst
- Automation Test Engineer
- Data Science Intern
- Freelance Python Programmer
Duration Course
- 16 Weeks
- 300 Hours of Mentorship
- 23 Projects in AI Ethics
- 30 Course Videos
Course Content
Leadership in Ethical & Responsible AI
- Introduction to Ethical and Responsible AI
- AI Principles and Guidelines
- Developing AI Ethics Guidelines and Governance
- Stakeholder Engagement and Communication
- Techniques for Detecting and Mitigating Bias
- Legal and Regulatory Considerations in AI
- Human-Centered Approach to AI Development
- Engaging with the Community
- Recognizing Ethical Concerns
- Identifying and Addressing Issues
- Monitoring and Enhancing AI Models
- Case Studies: Applying Ethical AI
- Workshop: Constructing Your Ethical AI Framework
- Plan for Implementing Ethical AI
- Foster a culture of ethical integrity and responsibility in AI initiatives.
- Gain competitive advantage through trust-building with customers and stakeholders.
- Mitigate risks associated with AI deployments, including legal, reputational, and operational risks.
- Enhance decision-making processes with a comprehensive understanding of ethical AI implications.
- Executives and decision-makers responsible for AI strategy and policy.
- Ethics officers and governance professionals in technology sectors.
- Teams involved in AI project development and deployment.
- Incorporate ethical AI frameworks into existing corporate governance structures.
- Engage in interactive workshops for hands-on experience with ethical AI tools.
- Develop a roadmap for ongoing ethical AI practices and stakeholder engagement.
- Tailored Options Focus on specific industries like retail, healthcare, or manufacturing.
- Adaptability to cater to global teams and various time zones.
Successful students can launch startups to:
AI Governance and Consulting
- Ethical AI Auditing: Assess AI systems for fairness, bias, and transparency.
- Responsible AI Policy: Help organizations and governments create ethical frameworks.
- AI Ethics Training: Educate businesses and developers on responsible practices.
Tools for Fairness and Accountability
- Bias Detection Software: Identify and address biases in AI models.
- Explainable AI (XAI) Platforms: Provide clear insights into AI decision-making.
- Privacy-Preserving AI Solutions: Protect user data during AI development.
Social Impact Startups
- AI-Powered Accessibility Solutions: Improve accessibility for individuals with disabilities.
- Misinformation Detection: Develop tools to flag fake news and deepfakes.
- Environmental Sustainability Applications: Optimize resources and support conservation.
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Generative AI
This dynamic course, “Innovating with Generative AI: Project-Based Learning,” offers a deep dive into generative AI technologies, focusing on hands-on project work with large language models (LLMs) like Mistral or Llama. Students will gain a solid foundation in machine learning, explore the intricacies of GANs and VAEs, and apply their knowledge to create AI-driven solutions across various domains, including retail, agriculture, healthcare, manufacturing, energy, sustainable technology, and business innovation. The curriculum emphasizes ethical AI use and culminates in a capstone project where students will tackle real industry challenges, providing a pathway to employment, entrepreneurship, or freelance opportunities in the cutting-edge field of generative AI.
Can You Solve the Project Challenge?
GENERATIVE AI
AI-601
Generative AI technologies, including the latest LLMs
Leadership in Ethical & Responsible AI
ETHAI-601
Ethical AI, governance frameworks, stakeholder engagement
