Build Safe, Aligned, and Governable AGI Systems with Real-World Architecture, Safety, and Ethics Foundations
Sub Category
- Data Science
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Objectives
- Understand the technical and core Artificial Intelligence concepts including machine learning, deep learning, neural philosophical foundations of AGI
- Build and train AI and machine learning models using industry-relevant tools and techniques, and apply them to practical scenarios such as prediction
- Apply RLHF and constitutional alignment methods in real-world settings
- Implement cognitive architectures with memory, reasoning, and planning modules
- Evaluate alignment risks, interpretability trade-offs, and control strategies
- Build AGI-inspired prototypes using modern AI frameworks (LangChain, AutoGen, Hugging Face)
- Analyze AGI ethics, governance, and long-term impact on society
- Deploy AI systems into real applications, integrating models into web apps, APIs, and interactive workflows to create end-to-end functional AI solutions.
Pre Requisites
- No Technical Background Needed
- Basic Computer Skills
- Mindset Requirements
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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