Prerequisites
- Python Programming
- Data Structures and Algorithms
- Linear Algebra
- Calculus
- Probability and Statistics
- Machine Learning Fundamentals
- Deep Learning Fundamentals
- Neural Networks
- Transformer Architectures
- Knowledge Representation and Reasoning
- Basic Computer Science Concepts
- Artificial Intelligence Fundamentals
What Will You Learn
- AGI Fundamentals
- Human Cognition and Intelligence Models
- Machine Learning and Deep Learning Concepts
- Reinforcement Learning
- Neural Network Architectures
- Natural Language Processing (NLP)
- Computer Vision Fundamentals
- Knowledge Representation and Reasoning
- AI Agents and Autonomous Systems
- AGI Safety and Alignment
- Ethical AI Principles
- Societal Impact of AGI
Who Should Do This Course
- AI Researchers
- Machine Learning Engineers
- Deep Learning Engineers
- Data Scientists
- Software Developers
- Artificial Intelligence Engineers
- Computer Science Students
- Research Scholars in AI
- Technology Professionals
- AI Product Managers and Technology Leaders
Tools and Technologies Covered
- Python
- Machine Learning
- Deep Learning
- Neural Networks
- Reinforcement Learning
- Natural Language Processing (NLP)
- Transformer Models
- Knowledge Graphs
- Cognitive Architectures (ACT-R, Soar)
- OpenCog
- AI Agents
- AI Safety and Alignment Frameworks