AI Fundamentals

Copenhagen | Data and Analytics Courses

  • 1 session / week

  • This is a FREE course

Course Overview

This course covers essential AI concepts, including the history, terminology, and recent developments in the field. You will learn about the possibilities and limitations of AI, its ethical considerations, and regulatory frameworks. By the end of the course, you will be well-prepared to take the AI-900 Microsoft Azure AI Fundamentals certification exam, equipping you with valuable skills for a career in AI.

  • In this course, you will gain a comprehensive understanding of the following topics:

    • Introduction to AI: Understand what AI is, including generative AI and its applications in various industries.

    • Machine Learning Basics: Learn the fundamental principles of machine learning and how to apply them.

    • Natural Language Processing (NLP): Explore features of NLP workloads on Azure and how they can be used to process and analyze text data.

    • Computer Vision: Understand the capabilities of computer vision workloads on Azure and their applications in image and video analysis.

    • Responsible AI: Delve into the ethics, regulations, and personal responsibilities associated with AI usage.

    • Hands-on AI Tools: Get practical experience with AI tools and technologies, enhancing your coding and learning processes.

    • PL-300 Exam Preparation: Review all the core concepts and skills measured by the PL-300 exam, including practice tests and exam strategies.

    • You identify as: A woman or nonbinary

    • You have a high level in English: Ensuring you can understand and engage with course materials.

    • You are digitally comfortable:  You have a basic understanding of digital tools and technologies.

    • You have a high interest in: AI and are eager to learn about its possibilities.

    • You can commit: Commit to attending classes regularly and participating actively to at least 10 out of 12 classes.

    • Networking Events: Participate in networking events to connect with industry professionals, peers, and potential employers.

    • Career Coaching: Apply for a career coach to guide you in your professional journey and  receive guidance from professionals in the IT industry.

    • Microsoft Certification: Earn a voucher to take the PL-300 certification exam, boosting your qualifications in the AI field.

    • Career & Soft Skills Workshops: Participate in workshops designed to empower you and to improve your career readiness and soft skills.

    • ReDI Alumni Network: Become a part of the ReDI Alumni Network and the ReDI community.

    • SkillsBuild Self-paced Learning: Take advantage of self-paced learning modules provided by IBM and ReDI School.

    • ReDI School Certification: Earn a ReDI School Certification if you attend 10 out of 12 classes.

      These supplementary activities are designed to complement your learning, provide real-world exposure, help you build a strong network, and support your career growth in AI.

Course Impressions

 
  • Available in Copenhagen
  • In person
  • Classes: Wednesdays at 5-8 PM
  • Spring Semester: March-June
  • Fall Semester: September-December
  • Teaching language: English

Teachers

 

How to apply

 

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