Artificial Intelligence for Beginners

Here is a general outline of the topics that are typically covered in a beginner's course on artificial intelligence (AI):

1. Introduction to AI: This section will introduce you to the field of artificial intelligence and its history. It will also cover key concepts, terminology and the different approaches to AI (Symbolic, Sub-Symbolic, Connectionist, Hybrid)

2. Search and Problem Solving: This section will cover the basic concepts of search and problem solving in AI, including uninformed search algorithms (e.g. breadth-first search and depth-first search) and informed search algorithms (e.g. A* search). It will also cover the concept of problem formulation and problem space representation

3. Knowledge representation: This section will cover knowledge representation in AI, including propositional logic, predicate logic, first-order logic and knowledge representation languages (e.g. KRL, RDF)

4. Reasoning and Inference: This section will cover reasoning and inference in AI, including rule-based systems, knowledge-based systems, fuzzy logic and uncertain reasoning.

5. Machine Learning: This section will cover the basics of machine learning, including supervised, unsupervised and reinforcement learning.

6. Natural Language Processing: This section will cover the basics of natural language processing, including syntactic and semantic analysis, language modeling and text classification.

7. Robotics: This section will cover the basics of robotics, including kinematics, dynamics, perception and control.

8. Applications: This section will cover some real-world applications of AI, including computer vision, speech recognition, and AI in healthcare, finance, and transportation.

It's important to note that the course may cover other subjects like computer vision, computer graphics, expert systems, evolution computing, and multi-agent systems, depending on the course. Also the focus may vary on the different areas of AI like Robotics, NLP, Computer Vision, etc.

AI is a broad and rapidly evolving field, and the course content may differ depending on the institution or organization offering the course. But the above-mentioned topics are considered as the foundation of understanding artificial intelligence.