| Attribute | Detail |
|---|---|
| Format | Recorded Lectures |
| Level | Advanced |
| Duration | 1 Days |
| Certification | e-Certification + e-Marksheet |
| Fee | Free |
| Tools | Python TensorFlow PyTorch Keras Scikit-learn Jupyter Notebook Google Colab Hugging Face |
About the Advanced AI and Ethics: Governance and Regulation – Self-Paced Course with Certification Course
This course covers ethical AI decision-making, governance frameworks, and global regulatory trends.
Participants will engage with expert-led video lectures, learn real-world applications of AI ethics, and gain certification upon completion. Chat support is available to assist throughout the course.
Program Highlights
• Comprehensive coverage of Advanced AI and Ethics from fundamentals to advanced applications
• Hands-on projects and real-world case studies in Artificial Intelligence
• Expert-curated curriculum aligned with current industry standards
• Access to recorded lectures and e-LMS platform for flexible, self-paced learning
• e-Certification and e-Marksheet upon successful completion
• Dedicated mentor support and interactive doubt-clearing sessions
• Exposure to industry-standard tools and platforms used in Artificial Intelligence
• Career-oriented training for academic and professional growth in Artificial Intelligence
Course Curriculum
Module 1: AI Governance Frameworks and International Regulations
- Comprehensive overview of global AI regulatory standards, including the EU AI Act and U.S. AI Guidelines.
- Sector-specific regulations in critical industries such as healthcare, finance, and autonomous vehicles.
- Case studies like the impact of GDPR on AI and China’s Social Credit System.
Module 2: Advanced Ethical Decision-Making in AI
- Delve into complex ethical dilemmas faced in AI development, such as bias, fairness, and accountability.
- Learn advanced ethical frameworks and how to apply them to AI systems.
- Case studies on AI failures, including Amazon’s biased recruitment algorithm and the ethical issues in predictive policing.
Module 3: Emerging AI Technologies and Ethical Considerations
- Explore the ethical challenges of cutting-edge AI technologies like quantum AI, AI in genomics, and autonomous weapons.
- Examine the ethical implications of AI surveillance systems and autonomous decision-making.
- Understand the environmental impacts of AI technologies and how to create sustainable AI systems.
Tools, Techniques, or Platforms Covered
Python TensorFlow PyTorch Keras Scikit-learn Jupyter Notebook Google Colab Hugging Face
Real-World Applications
- Apply Advanced AI and Ethics skills directly to academic research, thesis work, and publications
- Build a professional portfolio showcasing practical Artificial Intelligence competencies
- Solve industry-relevant problems using Advanced AI and Ethics methodologies and tools
- Contribute to open-source projects and collaborative research in Artificial Intelligence
- Prepare for competitive examinations, interviews, and professional certifications in Artificial Intelligence
Who Should Attend & Prerequisites
- Students pursuing degrees in Artificial Intelligence, science, engineering, or related disciplines
- Working professionals seeking to upskill or transition into Artificial Intelligence roles
- Researchers and academicians looking to adopt modern techniques in Artificial Intelligence
- Entrepreneurs, freelancers, and self-learners interested in practical Artificial Intelligence knowledge
Certification
