AI Fundamentals (AI-900)
NRW | Artificial Intelligence Courses
1 session/week
This is a FREE course
ReDI Career Track: Artificial Intelligence
Course Overview
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• 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.
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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
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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!
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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