Course Outline
The Evolution of Artificial Intelligence
- Intelligent Agents
Problem Solving
- Approaches to Solving Problems through Search
- Extending Beyond Classical Search Techniques
- Adversarial Search Methods
- Handling Constraint Satisfaction Problems
Knowledge and Reasoning
- Agents Based on Logic
- First-Order Logic Concepts
- Inference Mechanisms in First-Order Logic
- Classical Planning Techniques
- Planning and Execution in Real-World Scenarios
- Methods for Knowledge Representation
Handling Uncertain Knowledge and Reasoning
- Measuring and Quantifying Uncertainty
- Techniques in Probabilistic Reasoning
- Temporal Aspects of Probabilistic Reasoning
- Decision-Making for Simple Scenarios
- Complex Decision-Making Strategies
Learning Processes
- Learning from Specific Examples
- Integrating Knowledge into Learning
- Acquiring Probabilistic Models
- Principles of Reinforcement Learning
Communication, Perception, and Action
- Foundations of Natural Language Processing
- Using Natural Language for Communication
- Mechanisms of Perception
- Robotics Applications
Concluding Thoughts
- Philosophical Underpinnings
- The Current State and Future of AI
Requirements
A solid foundation in computing, biology, mathematics, and physics is required.
Testimonials (3)
I really liked the end where we took the time to play around with CHAT GPT. The room was not set up the best for this- instead of one large table a couple of small ones so we could get into small groups and brainstorm would have helped
Nola - Laramie County Community College
Course - Artificial Intelligence (AI) Overview
Information. Hunters willingness to help me on develop a chat to for the process I was working on was great. The Chat was simple but will save time and peaked my intererst in other ways my office can use AI.
Arlene - Laramie County Community College
Course - Artificial Intelligence (AI) Overview
Hunter is fabulous, very engaging, extremely knowledgeable and personable. Very well done.
