دوره مقدماتی هوش مصنوعی
Chapter 1: Introduction to Artificial Intelligence
Lesson 1: What is Artificial Intelligence?
Lesson 2: History and Evolution of AI
Lesson 3: AI vs Machine Learning vs Deep Learning
Lesson 4: Applications of AI in the Real World
Lesson 5: Overview of the Course
Chapter 2: Foundations of AI
Lesson 1: Key Concepts in AI
Lesson 2: Symbolic AI vs Statistical AI
Lesson 3: Agents and Environments
Lesson 4: The Turing Test and AI Benchmarks
Lesson 5: Ethical and Social Implications of AI
Chapter 3: Problem Solving with AI
Lesson 1: Problem-Solving Agents
Lesson 2: State-Space Representation
Lesson 3: Search Strategies (DFS, BFS)
Lesson 4: Heuristic Search (A*, Greedy Search)
Lesson 5: Constraint Satisfaction Problems (CSPs)
Chapter 4: Logical Reasoning
Lesson 1: Introduction to Logic in AI
Lesson 2: Propositional Logic
Lesson 3: First-Order Logic
Lesson 4: Logical Inference Techniques
Lesson 5: Applications of Logical Reasoning
Chapter 5: Knowledge Representation
Lesson 1: What is Knowledge Representation?
Lesson 2: Semantic Networks
Lesson 3: Ontologies and Taxonomies
Lesson 4: Frames and Scripts
Lesson 5: Knowledge-Based Systems
Chapter 6: Introduction to Expert Systems
Lesson 1: What are Expert Systems?
Lesson 2: Architecture of Expert Systems
Lesson 3: Rule-Based Systems
Lesson 4: Inference Engines
Lesson 5: Examples of Expert Systems
Chapter 7: AI Planning
Lesson 1: Introduction to Planning in AI
Lesson 2: Planning Algorithms
Lesson 3: STRIPS Representation
Lesson 4: Partial-Order Planning
Lesson 5: Applications of Planning
Chapter 8: Robotics and AI
Lesson 1: Basics of Robotics
Lesson 2: AI in Robot Perception
Lesson 3: Motion Planning
Lesson 4: Human-Robot Interaction
Lesson 5: Applications of AI in Robotics
Chapter 9: Natural Computation
Lesson 1: Evolutionary Computation Overview
Lesson 2: Simulated Annealing
Lesson 3: Swarm Intelligence (Ant Colony, PSO)
Lesson 4: Applications of Natural Computation
Lesson 5: Ethical Considerations
Chapter 10: Introduction to AI Programming
Lesson 1: AI Development Tools and Languages
Lesson 2: Basics of Python for AI
Lesson 3: Writing Simple AI Algorithms
Lesson 4: Introduction to AI Libraries (NumPy, Pandas)
Lesson 5: Overview of AI APIs
دوره پیشرفته هوش مصنوعی
Chapter 1: Advanced Search Algorithms
Lesson 1: Adversarial Search and Game Trees
Lesson 2: Minimax Algorithm
Lesson 3: Alpha-Beta Pruning
Lesson 4: Monte Carlo Tree Search
Lesson 5: Applications in Game AI
Chapter 2: Advanced Knowledge Representation
Lesson 1: Non-Monotonic Reasoning
Lesson 2: Default Logic
Lesson 3: Description Logics
Lesson 4: Reasoning about Uncertainty
Lesson 5: Temporal and Spatial Reasoning
Chapter 3: Probabilistic Reasoning
Lesson 1: Bayesian Networks
Lesson 2: Markov Networks
Lesson 3: Hidden Markov Models (HMMs)
Lesson 4: Probabilistic Graphical Models
Lesson 5: Applications in Real-World Scenarios
Chapter 4: Fuzzy Logic and AI
Lesson 1: Introduction to Fuzzy Logic
Lesson 2: Fuzzy Sets and Membership Functions
Lesson 3: Fuzzy Inference Systems
Lesson 4: Applications of Fuzzy Logic in AI
Lesson 5: Fuzzy Logic vs Probabilistic Methods
Chapter 5: Ethics and Bias in AI
Lesson 1: Bias in AI Models
Lesson 2: Fairness and Transparency
Lesson 3: Accountability in AI Systems
Lesson 4: AI Regulation and Policies
Lesson 5: Case Studies on Ethical Issues
Chapter 6: Generative Artificial Intelligence
Lesson 1: Overview of Generative AI
Lesson 2: Generative Adversarial Networks (GANs)
Lesson 3: Diffusion Models
Lesson 4: AI in Art and Creativity
Lesson 5: Applications and Challenges of Generative AI
Chapter 7: Explainable AI (XAI)
Lesson 1: What is Explainable AI?
Lesson 2: Techniques for XAI
Lesson 3: Interpretable Machine Learning Models
Lesson 4: Applications of XAI in Critical Fields
Lesson 5: Challenges in Achieving XAI
Chapter 8: Advanced Robotics and AI Integration
Lesson 1: AI-Driven Robot Control
Lesson 2: AI in Multi-Robot Systems
Lesson 3: Collaborative Robotics
Lesson 4: AI for Autonomous Vehicles
Lesson 5: Cutting-Edge Robotics Applications
Chapter 9: AI for Social Good
Lesson 1: AI in Healthcare
Lesson 2: AI for Climate Change
Lesson 3: AI in Education
Lesson 4: AI in Disaster Response
Lesson 5: Challenges in Scaling AI for Social Good
Chapter 10: Agentic AI Systems
Lesson 1: Introduction to Agentic AI Systems
Lesson 2: Architecture of Agentic AI Systems
Lesson 3: Autonomy and Proactivity in AI
Lesson 4: Ethical Considerations in Agentic AI
Lesson 5: Future Directions in Agentic AI
Chapter 11: Multimodal & Multisensory AI
Lesson 1: Introduction to Multimodal & Multisensory AI
Lesson 2: Key Modalities in Multimodal AI
Lesson 3: Fusion Techniques in Multimodal AI
Lesson 4: Multisensory Integration
Lesson 5: Challenges and Future Directions in Multimodal & Multisensory AI
Chapter 12: AI Security & Adversarial Defense
Lesson 1: Introduction to AI Security
Lesson 2: Types of Adversarial Attacks
Lesson 3: Defense Mechanisms Against Adversarial Attacks
Lesson 4: Securing AI Models and Pipelines
Lesson 5: Future of AI Security
Chapter 13: Future of Artificial Intelligence
Lesson 1: Current Trends in AI Research
Lesson 2: Artificial General Intelligence (AGI)
Lesson 3: AI in Quantum Computing
Lesson 4: Challenges in Building AGI
Lesson 5: Preparing for the AI-Driven Future
پیام شما
نام
ایمیل
تلفن
پیام
تلفن
ارسال
