serviços digitais da FCT
Artificial Intelligence and Machine Learning
Ref. IAML
AI and Machine Learning are more than technology — they are tools that transform data into decisions, with responsibility, creativity, and real impact on organisations and society.
- Duration: 8 hours
- Effort: 8 hours
- Pace: Self paced
- Languages: English and portuguese
- 4,663 already enrolled!
What you will learn
- Review the fundamental concepts of AI and ML
- Explore the main AI and ML algorithms and models
- Learn about and explore popular tools and platforms for developing AI and ML
- Understand how AI and ML models are trained
- Explore and analyse practical applications of AI and ML across different sectors
- Identify the ethical and social implications of AI and ML
Description
This course provides a detailed overview of the fundamental concepts of Artificial Intelligence (AI) and Machine Learning (ML), exploring algorithms and models, tools and technologies, applications within an organisational context, and ethical considerations. Participants will thus develop practical skills to implement and train AI and ML models within an organisational context.
Assessment and certification
At the end of each module, in order to assess your progress, you will complete a test with a compulsory learning check, which will account for 50% of the final grade.
At the end of the course, you will take a Final Assessment Test worth 50% of the final mark.
Course plan
Part I: Foundations of Artificial Intelligence and Machine Learning
Module 1: Introduction to Artificial Intelligence
Module 2: Fundamentals of Machine Learning
Part II: AI and ML Algorithms and Models
Module 3: Supervised Learning Algorithms
Module 4: Unsupervised and Reinforcement Learning Algorithms
Module 5: Deep Learning Models
Part III: Tools and Technologies
Module 6: Platforms and Languages for AI and ML
Module 7: Model Training and Evaluation
Part IV: Practical Applications and Ethics
Module 8: Use Cases Across Different Sectors
Module 1: Introduction to Artificial Intelligence
Module 2: Fundamentals of Machine Learning
Part II: AI and ML Algorithms and Models
Module 3: Supervised Learning Algorithms
Module 4: Unsupervised and Reinforcement Learning Algorithms
Module 5: Deep Learning Models
Part III: Tools and Technologies
Module 6: Platforms and Languages for AI and ML
Module 7: Model Training and Evaluation
Part IV: Practical Applications and Ethics
Module 8: Use Cases Across Different Sectors
Organizations
License
License for the course content
Attribution-NonCommercial-NoDerivatives
You are free to:
- Share — copy and redistribute the material in any medium or format
Under the following terms:
- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- NonCommercial — You may not use the material for commercial purposes.
- NoDerivatives — If you remix, transform, or build upon the material, you may not distribute the modified material.