Certified Artificial Intelligence Specialist

A certification in artificial intelligence (AI) is a formal recognition that validates an individual’s basic knowledge and skills in understanding and applying AI concepts and technologies in their professional field. This certification covers key areas such as AI fundamentals, machine learning, natural language processing, computer vision, and AI ethics, enabling professionals to integrate and use AI technologies effectively in their roles without requiring in-depth technical training.

Objective

The objectives of a certification in artificial intelligence are to provide a fundamental understanding of AI concepts and technologies, enable professionals to identify and apply AI solutions in their respective fields, facilitate the integration of AI into business processes and decisions, promote an ethical and responsible understanding of AI, and enhance the ability to communicate and collaborate with technical teams, ensuring that professionals can leverage the benefits of AI to improve efficiency and innovation in their organizations.

Directed to

This certification in artificial intelligence is aimed at professionals from various disciplines who seek to understand and apply AI technologies in their work without the need for in-depth technical training. It includes project managers, business leaders, professionals in marketing, human resources, finance, healthcare, education, and other fields who want to integrate AI into their processes and strategies, improve data-driven decision making, and collaborate effectively with technical teams to drive innovation and efficiency in their organizations.

Main Topics

Fundamentals of Artificial Intelligence

  • History and basic concepts of AI.
  • Key areas: Computer vision, NLP, robotics.

Machine Learning

  • Principles and types of learning: supervised, unsupervised, reinforcement learning.
  • Common algorithms and model evaluation.

Natural Language Processing (NLP)

  • Fundamentals and applications: Chatbots, sentiment analysis.
  • Basic techniques: Tokenization, lemmatization.

Implementing AI in Business

  • Identification of opportunities and development of AI strategies.
  • AI project management and impact measurement.

Ethics and Responsibility in AI

  • Ethical principles and challenges: Bias, privacy.
  • Regulations and responsible practices.

Generative AI and Tools

  • Generative AI
  • ChatGPT
  • GEMINI

Exam duration:

60 minutes

Number of questions in the exam:

40

Exam style:

Multiple choice

Passing score:

80% - 32 correct questions

Prerequisites:

There is no

Use of supporting resources:

Not authorized

Second option:

Yes

Exam languages:

Spanish - English

Exam level:

Intermediate/high

Certification validity:

4 years

USD$

400

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