Embrace the future with our Artificial Intelligence course, designed to equip you with the essential skills to thrive in today’s rapidly evolving tech landscape. As AI continues to revolutionise industries, the demand for skilled professionals is soaring. This course offers a comprehensive introduction to the fascinating world of AI, exploring its types and delving into the intricacies of machine learning algorithms. With a focus on real-world applications, you’ll gain valuable insights to tackle turnkey projects confidently. By enrolling, you’ll position yourself at the forefront of innovation, enhancing your career prospects and contributing to transformative advancements. Seize this opportunity to become a part of the AI-driven future, where your expertise will be pivotal in shaping a smarter world.
Artificial Intelligence
This Artificial Intelligence course is designed for professionals and graduates in the field who wish to update or expand their knowledge. Participants will explore fundamental concepts, types of AI, and machine learning algorithms, culminating in a turnkey project. Ideal for those seeking to stay current with AI advancements without delving into advanced complexities.
40 hours
Desarrollo de IA
Course objectives
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Understand the fundamental concepts of artificial intelligence.
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Differentiate between various types of artificial intelligence.
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Comprehend basic machine learning algorithms and their applications.
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Identify real-world problems solvable by artificial intelligence.
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Analysis the impact of artificial intelligence on different industries.
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Explore ethical considerations in the development of AI technologies.
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Develop critical thinking skills to evaluate AI-based solutions.
What does it prepare you for?
This course in Artificial Intelligence prepares you to understand and navigate the complex world of AI technologies. You'll gain foundational knowledge from the introduction to AI, explore different types of AI, and delve into machine learning algorithms. By the end of the course, you'll be equipped to analyse AI systems, apply basic machine learning models, and contribute to AI-focused projects, enhancing your ability to integrate AI solutions into real-world challenges.
Teaching units
UNIT 1. INTRODUCTION TO ARTIFICIAL INTELLIGENCE
State of the art of artificial intelligence
Philosophy of artificial intelligence
Future of artificial intelligence
Project development process with artificial intelligence
Data, your greatest asset
UNIT 2. TYPES OF ARTIFICIAL INTELLIGENCE
Machine learning
Deep learning
Transformers
Generation of synthetic data
Hyperparameters in artificial intelligence models
UNIT 3. INTRODUCTION TO MACHINE LEARNING ALGORITHMS
Linear regression
Non-linear regression and support vector machines (SVM)
Decision trees, random forests
Fuse logic and gradient down
Recommendation systems
UNIT 4. TURNKEY PROJECT
Preparation of the working environment: Anaconda, Visual Studio Code and Python
Input dataset and data preprocessing
TensorHub, TensorFlow and Keras
Image processing
Generation of artificial intelligence models