edX
MOOC / Non-credit
0
Fundamentos de Inteligencia Artificial
About this course
The course introduces core artificial intelligence concepts, covering topics such as search strategies, knowledge representation, machine learning fundamentals, and ethical considerations. It walks through practical tools and techniques used to build simple AI models and explains how they are applied across different industries. No prior AI experience is required, but familiarity with basic programming helps.
C
67/100
CourseAsk score
- What the provider tells you
- 31/45
- Who stands behind it
- 20/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- Explain basic AI terminology and history
- Describe common search algorithms like breadth‑first and depth‑first
- Model simple knowledge representation schemes
- Implement elementary machine‑learning techniques such as classification and regression
- Discuss ethical issues and societal impact of AI applications
Course objectives
- Provide a foundational understanding of AI principles and practices
- Expose learners to practical AI tools and their industry use cases
- Develop the ability to build and evaluate simple AI models
Artificial Intelligence
#artificial intelligence
#problem solving
#data processing
#automation
#neural networks
#predictive analytics
#software tools
#AI fundamentals
#machine learning basics
#algorithmic concepts
#search algorithms
#knowledge representation
#classification
#regression
#reinforcement learning
#ai ethics
#ai applications
#data preprocessing
#probabilistic reasoning
$117.00
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