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Artificial Intelligence
BEGINNER
Artificial Intelligence Fundamentals
This professional Artificial Intelligence Fundamentals program takes learners through AI Problem Framing, Search and Optimization, Knowledge Representation, Probability for AI, Supervised Learning Concepts, Neural Network Intuition, Responsible AI, Applied AI Project. Target audience: Professionals who want a practical foundation in modern AI.
Jane Instructor8 chapters24 hoursCertificate included
What you'll learn
Apply ai problem framing to a practical Artificial Intelligence Fundamentals project.
Apply search and optimization to a practical Artificial Intelligence Fundamentals project.
Apply knowledge representation to a practical Artificial Intelligence Fundamentals project.
Apply probability for ai to a practical Artificial Intelligence Fundamentals project.
Apply supervised learning concepts to a practical Artificial Intelligence Fundamentals project.
Apply neural network intuition to a practical Artificial Intelligence Fundamentals project.
Skills covered
AI Concepts
Search
Probability
Model Evaluation
Responsible AI
Python
Prerequisites
- Basic algebra and programming
Who this is for
Professionals who want a practical foundation in modern AI.
Course modules
3Knowledge Representation
4Probability for AI
5Supervised Learning Concepts
6Neural Network Intuition
7Responsible AI
8Applied AI Project
Assessments and certification
Artificial Intelligence Fundamentals Certification Exam
8 questions · 60 min · Pass mark 70%
Final exam
Artificial Intelligence Fundamentals Practice Quiz
8 questions · 20 min · Pass mark 70%
Quiz
Earn your AMNEXT ACADEMY certificate
Complete the course and pass its certification assessment to receive a verifiable certificate.