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Artificial Intelligence

Industry-Specific
Digital Skills

Schedule

Duration

40 hours

PRESENTATION

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.

Objectives

  • Understand the fundamental concepts of artificial intelligence.

  • Differentiate between various types of artificial intelligence.

  • Comprehend basic machine learning algorithms and their applications.

  • Identify real-world problems solvable by artificial intelligence.

  • Analyse the impact of artificial intelligence on different industries.

  • Explore ethical considerations in the development of AI technologies.

  • Develop critical thinking skills to evaluate AI-based solutions.

Syllabus

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
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Are the Educa PHAROS courses eligible for credit?

Many courses can be credited toward the master's programs at Structuralia.
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+ 1.483

Hours

+88.999

Minutes

264

Courses

Educa PHAROS is a next-generation training model that places a company’s human capital at the forefront. Through a platform that adapts to each company’s corporate identity and offers a total of more than 900 courses, it provides tailored training for each organization. The unlimited flat-rate plan provides each company with the number of courses that best suits its needs, as well as the ability to determine which employees will have access.
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