This training action is publicly funded and completely free of charge for participants.
The call for proposals for this training plan is an initiative of the Ministry of Work and Social Economy (MTES) and the Public Employment Service (SEPE), with the State Foundation for Training in Employment (FUNDAE) responsible for its control and oversight.
Target audience:
Training program intended for self-employed workers.
Upon completion of this course, participants will be able to:
- Understanding the evolution and impact of AI.
- Distinguishing the capabilities and limitations of different models.
- Mastering mathematical and numerical fundamentals.
- Designing and optimizing algorithms and predictive models.
- Implementing solutions in real business scenarios.
- Building expert systems and inference engines.
- Applying rules, constraints, and sustainability criteria.
Understanding key AI concepts and characteristics, and their direct application in algorithms.
Content
Knowledge / Cognitive and Practical Skills
- Knowledge of the history of Artificial Intelligence.
- Evolution of AI from its origins.
- Key milestones in the development of AI.
- Definition of Artificial Intelligence.
- Concepts and disciplines within AI.
- Areas of application for AI in today's world.
- Impact of AI on society.
- Analysis of its influence across different sectors.
- Ethical implications of AI.
- Application of energy efficiency and environmental sustainability measures.
Management, Personal, and Social Skills
- Ability to understand the impact of AI across different industries and business areas.
- Proactive analysis.
- Working with a focus on energy efficiency (reducing volatile and persistent memory usage, using development environments with minimized resource consumption, etc.).
Knowledge / Cognitive and Practical Skills
- Understanding Artificial Intelligence capabilities.
- Differences between weak (narrow) and strong (general) AI.
- Learning, reasoning, and recognition capabilities.
- Analysis of AI limitations.
- Current technical barriers.
- Ethical and social challenges.
- Assessing AI applicability.
- Current and future use cases.
- Practical applications across different industries.
Management, Personal, and Social Skills
- Ability to analyze AI applications and determine the most appropriate approach based on organizational needs.
- Resource optimization.
Knowledge / Cognitive and Practical Skills
- Management of symbols in AI.
- Use of symbols in knowledge representation.
- Relationship between symbols and logic in AI.
- Implementation of numerical methods in AI.
- Statistical techniques used in AI.
- Application of linear algebra and calculus in AI algorithms.
Management, Personal, and Social Skills
- Analytical and problem-solving skills through the application of numerical methods in AI.
- Informed decision-making, ensuring security, cost savings, system optimization, and efficiency.
Knowledge / Cognitive and Practical Skills
- Application of formulas in AI development.
- Use of mathematical formulas to optimize algorithms.
- Methods for solving complex problems.
- Development of functions in AI.
- Functions used in training AI models.
- Optimization and fine-tuning of functions to improve performance.
Management, Personal, and Social Skills
- Creativity / Innovative thinking.
- Working with a focus on energy efficiency (reducing volatile and persistent memory usage, using development environments with minimized resource consumption, etc.).
Knowledge / Cognitive and Practical Skills
- Design of AI algorithms.
- Fundamental principles of algorithms.
- Classification and regression algorithms.
- Algorithm optimization.
- Methods for enhancing algorithmic efficiency.
- Advanced optimization techniques in AI.
Management, Personal, and Social Skills
- Fostering logical reasoning.
- Fostering critical thinking.
- Attention to detail.
- Ability to manage priorities.
Knowledge / Cognitive and Practical Skills
- Application of algorithms in geolocation.
- Implementation of AI in geolocation systems.
- Algorithms used to improve accuracy in mapping and location services.
- Developing solutions for business.
- Application of AI in the e-commerce industry and other sectors.
- Case study analysis of AI applications in business.
Management, Personal, and Social Skills
- Informed decision-making, ensuring security, cost savings, system optimization, and efficiency.
- Ability to integrate AI into real-world business systems, such as geolocation, optimizing process performance.
Knowledge / Cognitive and Practical Skills
- Knowledge management in AI.
- Knowledge representation within AI systems.
- Applications of expert systems and knowledge bases.
- Development of intelligent systems.
- Implementation of systems that make decisions based on historical data.
- Use of rules and logical procedures in AI systems.
Management, Personal, and Social Skills
- Client-oriented mindset and active listening skills when gathering requirements for designing and managing intelligent systems.
- Effective communication of completed designs and implementations.
- Client orientation / Customer focus.
Knowledge / Cognitive and Practical Skills
- Development of inference engines in AI.
- Designing systems that utilize logical inferences.
- Integrating inference engines with knowledge bases.
- Application of inference in decision-making.
- Implementation in diagnostic and problem-solving systems.
- Decision optimization through the use of inferences.
Management, Personal, and Social Skills
- Task automation and efficiency enhancement.
- Adaptability.
- Working with a focus on energy efficiency (reducing volatile and persistent memory usage, using development environments with minimized resource consumption, etc.).
Knowledge / Cognitive and Practical Skills
- Pattern recognition and identification in AI.
- Use of machine learning techniques to detect patterns.
- Pattern recognition applications in image, text, and other data types.
- Optimization of predictive models.
- Data analysis for predicting future behaviors.
- Enhancing model accuracy through parameter tuning.
Management, Personal, and Social Skills
- Fostering preventive thinking.
- Fostering logical reasoning.
- Fostering critical thinking.
- Attention to detail.
Knowledge / Cognitive and Practical Skills
- Implementation of rules in AI algorithms.
- Developing algorithms incorporating logical and business rules.
- Using rules to enhance performance and decision-making.
- Establishing constraints in algorithms.
- Implementing constraints within the decision-making process.
- Evaluating the effects of constraints on algorithmic behavior.
Management, Personal, and Social Skills
- Resource optimization.
- Task automation and efficiency enhancement.
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