Course Summary
Overview of AI and its applications: The certification program provides an overview of AI and its various applications, giving individuals a comprehensive understanding of the field.
Insights of the AI technologies and tools: The certification program covers a range of AI technologies and tools, including natural language processing, computer vision, and machine learning algorithms, enabling individuals to gain insights into these technologies.
A deep understanding of the fundamentals of machine learning and deep learning: The certification program provides a deep understanding of the fundamentals of machine learning and deep learning, which are critical skills for AI experts.
An opportunity to prove your knowledge and skills in the AI space: The certification program provides individuals with an opportunity to demonstrate their knowledge and skills in the AI space, making them more attractive to employers.
• Introduction to AI
• What is Artificial Intelligence?
• Intelligent Agents
• Advantages and Disadvantages of AI
• Challenges of AI
• Problem Solving
• What is Searching?
• Uninformed Search Algorithm
• Informed Search Algorithm
• Adversarial Search
• Constraint satisfaction problems
• Knowledge Representation And Planning
• Knowledge Representation
• Knowledge Representation Techniques
• Propositional Logic
• First Order Logic
• Rule-Based System
• Probabilistic Reasoning
• Basic Probability Concepts
• Markov and Hidden Markov Model
• Association rules
• Dimensionality reduction
• Feature Selection and Feature Extraction
• Machine Learning
• What is Machine Learning?
• Types of Learning
• Clustering
• Classification
• Decision Tree
• Regression
• Support Vector Machine
• Reinforcement learning
• Communication and Perceiving
• Natural Language Processing
• Perception
• Neural Network
• What is a Neural Network?
• Types of Neural Network
• Neural Network Components
• Use Cases of AI
• Artificial Intelligence in Blockchain
• Artificial Intelligence in Healthcare
• Artificial Intelligence in IoT
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