The Artificial Intelligence (AI) has become a crucial area which is promoted by the innovation and transformation in various sectors. The Big Data has promoted the development of increasingly sophisticated AI algorithms and models.
The machine learning, the artificial neural networks, the natural language processing (NLP), the computer vision, the big data processing and the reinforcement learning are key areas of AI which enable to automate complex tasks.
This Advanced University Course in Artificial Intelligence for Programmers is justified by the need to to train programmers and developers capable of designing and implementing efficient AI solutions for solve complex real-world problems.
Cross-cutting
AI Academy
35 hours
Artificial Intelligence for Programmers
AI Academy
35 hours
Introduction
Objectives
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Understanding the concepts and principles of machine learning and the various techniques and algorithms.
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Mastering the design and training of Artificial Neural Networks.
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Applying Natural Language Processing for classification, text generation and sentiment analysis.
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Developing skills in Computer Vision for detection, recognition and classification of objects in images.
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Applying Big Data to AI using tools such as Hadoop and Spark.
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Optimising AI models by means of metric evaluation, feature selection and preventing overfitting.
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Mastering Reinforcement Learning and apply it to games, robotics and resource optimisation.
Table of Contents
TEACHING UNIT 1. MACHINE LEARNING
TEACHING UNIT 2. ARTIFICIAL NEURAL NETWORKS (ANN)
TEACHING UNIT 3. NATURAL LANGUAGE PROCESSING (NLP)
TEACHING UNIT 4. COMPUTER VISION
TEACHING UNIT 5. BIG DATA PROCESSING IN ARTIFICIAL INTELLIGENCE
TEACHING UNIT 6. OPTIMISATION AND TUNING OF AI MODELS
TEACHING UNIT 7. REINFORCEMENT LEARNING
TEACHING UNIT 8. DEPLOYMENT AND PRODUCTION OF AI MODELS
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