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Course / Course Details

Introduction to Artificial Intelligence

  • Laura García image

    By - Laura García

  • 4 students
  • 40 Hours
  • (0)

Course Requirements

  1. Prerequisites:

    • Basic understanding of programming (preferably Python).
    • Familiarity with basic mathematical concepts (algebra, calculus, probability).
  2. Materials Needed:

    • Access to a computer with internet for coding and online resources.
    • Software tools such as Python, Jupyter Notebook, and relevant libraries (e.g., TensorFlow, PyTorch).
  3. Participation:

    • Active participation in online discussions and group activities.
    • Completion of all assigned readings and homework.
    • Regular attendance in virtual or in-person lectures and labs.
  4. Assignments:

    • Regular quizzes and exams to assess understanding of key concepts.
    • Hands-on projects and coding assignments.
    • Group presentations on AI applications.
    • Capstone project demonstrating practical AI implementation.

Course Description

This course provides a comprehensive introduction to the field of Artificial Intelligence (AI). Students will explore the fundamental concepts, techniques, and applications of AI, including machine learning, neural networks, natural language processing, and computer vision. The course emphasizes hands-on learning and real-world applications, preparing students to understand and implement AI technologies.

Course Objectives:

  • Understand the core concepts and principles of AI.
  • Explore various AI techniques and algorithms.
  • Analyze the applications and impact of AI in different industries.
  • Develop practical skills in implementing AI solutions.
  • Discuss the ethical and societal implications of AI.

Course Outcomes

  1. Knowledge and Understanding:

    • Comprehensive understanding of AI principles and techniques.
    • Ability to analyze and implement various AI algorithms.
    • Knowledge of AI applications across different industries.
  2. Skills Development:

    • Proficiency in programming and using AI tools.
    • Enhanced problem-solving and analytical skills.
    • Ability to design and develop AI projects.
  3. Practical Application:

    • Application of AI concepts to real-world problems.
    • Development of AI solutions for industry-specific challenges.
    • Ability to evaluate and improve AI models.
  4. Professional Growth:

    • Preparation for careers in AI, data science, and related fields.
    • Enhanced communication skills through presentations and reports.
    • Networking opportunities with professionals and organizations in the AI field.

Course Curriculum

  • 5 chapters
  • 5 lectures
  • 0 quizzes
  • 40 Hours total length
Toggle all chapters
1 What is AI?
1 Hour 30 Min

History and Evolution of AI Key Concepts and Terminology


1 Introduction to Machine Learning
1 Hour 30 Min

Supervised vs. Unsupervised Learning Common Algorithms (e.g., Linear Regression, Decision Trees) Practical Applications of Machine Learning


1 Basics of Neural Networks
1 Hour 30 Min

Deep Learning Concepts Convolutional Neural Networks (CNNs) Recurrent Neural Networks (RNNs) Hands-on Projects with Neural Networks


1 Introduction to NLP
1 Hour 30 Min

Text Processing and Analysis Sentiment Analysis Language Models and Transformers Applications of NLP


1 Fundamentals of Computer Vision
1 Hour 30 Min

Image Processing Techniques Object Detection and Recognition Applications in Healthcare, Automotive, and More


Instructor

Laura García

Tourism and Technology Instructor

Biography: Laura García is a dynamic and innovative educator with a passion for integrating technology into the tourism industry. With over 12 years of experience in both fields, Laura has worked on numerous projects that bridge the gap between tourism and technological advancements. Her teaching philosophy emphasizes practical application and the use of cutting-edge technology to enhance the learning experience and prepare students for the future of the tourism industry.

Education:

  • Master’s Degree in Tourism Management, University of Barcelona
  • Bachelor’s Degree in Information Technology, University of Madrid

Professional Experience:

  • Digital Marketing Manager at TravelTech Solutions
  • Tourism Consultant for Smart Destinations
  • Lecturer in Tourism and Technology at the International School of Hospitality

Skills:

  • Expertise in digital marketing and e-commerce for tourism
  • Proficient in using technology to enhance tourism experiences
  • Strong ability to develop and implement tech-driven tourism strategies
  • Experience with virtual reality (VR) and augmented reality (AR) in tourism
  • Excellent project management and team collaboration skills

Interests:

  • Exploring new travel technologies and innovations
  • Participating in tech and tourism conferences
  • Writing articles on the future of tourism and technology
  • Traveling to tech-savvy destinations

Personal Message: “My goal as an instructor is to empower students with the knowledge and skills they need to thrive in the evolving tourism industry. By integrating technology into our curriculum, we can create innovative solutions and unforgettable experiences for travelers. Let’s explore the future of tourism together"

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