AI Fundamentals (AI-900)

NRW | Artificial Intelligence Courses

  • 1 session/week

  • This is a FREE course

ReDI Career Track: Artificial Intelligence

Course Overview

  • • Introduction to AI/ML

    Review of calculus, linear algebra, and probability and statistics

    Probabilistic models

    Supervised learning techniques

    Unsupervised learning techniques

    Model evaluation and selection

    Cognitive AI services;

    Decision-making and methods for controlling and implementing bot behavior

    AI ethics and societal impact.

    • Job Readiness: Soft skills through career trainings geared towards preparing you for job applications & interviews, networking events and job fairs.

    • You will learn from experts in the industry to start a career in tech.

    • You are able to understand and speak English

    • You have an interest in cloud & AI technologies

    • You can commit at least 10 hours a week (classes + self-study) 80% attendance of the course is required for graduation

    • You have developed a systematic understanding of AI and machine learning principles and techniques for use in a broad range of contexts.

    • Explored cognitive intelligence AI services for capabilities such as vision, speech, and text, and their applications.

    • Discussed the main machine learning categories of unsupervised/supervised learning and applied them using appropriate techniques and toolsets.

    • Analysed the practical problems and develop appropriate software solutions using selected AI/machine learning techniques such as classification, regression, and clustering.

    • Discussed The ethical implications of developing AI solutions for societal contexts.

    • Get a voucher and prepare to take the Microsoft Azure AI-900 exam!

    • Career & Soft Skills Workshops, Company Visits

    • ReDI Mentorship Program (mentors in the IT industry)

    • ReDI Talent Pool (job listing platform)

    • SkillBuild self-paced eLearning (by IBM & ReDI)

    • You should expect to spend a minimum of 8 hours for career workshops or trainings during the semester.

Course Impressions

 
  • Available in NRW
  • Online
  • Classes: Wednesdays 19:00 – 21:00
  • Spring Semester: March-June
  • Fall Semester: September-December
  • Teaching language: English

Teachers

 

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