AI Fundamentals (AI-900)
Hamburg | Cloud and AI Certifications
2 sessions / week
This is a FREE course
If you're interested in our Fall semester, please fill out the interest form to stay informed.
ReDI Career Track: Cloud & AI Certificateion
Course Overview
This course is an opportunity for you to demonstrate knowledge of machine learning and AI concepts and related Microsoft Azure services. As a candidate for the AI-900, you should have familiarity with Exam AI-900’s self-paced or instructor-led learning material.
This exam is intended for you if you have both technical and non-technical backgrounds. You would benefit from having awareness of:
Basic cloud concepts
Client-server applications
You can use Azure AI Fundamentals to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate, but it’s not a prerequisite for any of them.
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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.
• Microsoft AI-900 Certification
• Exam preparation
• Taking an exam
• 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 can commit at least 10 hours a week (classes + self-study) 80% attendance of the course is required for graduation
You can commit at least 8 hours for career workshops or trainings during the semester
You have an interest in Cloud & AI technologies
You completed the Cloud Computing or Machine Learning course - Note: Graduates from our cloud computing and Machine Learning courses will be preferred!
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Register on https://learn.microsoft.com/ and complete the following free module:
• Azure AI Fundamentals part 1: Fundamental AI Concepts.
Register on deeplearning.ai and finish the following module to get an overview of AI:
• Week#1 of this course.
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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 learning (by IBM & ReDI School)
You should expect to spend a minimum of 8 hours for career workshops or trainings during the semester.
Course Impressions
- Hamburg | Mix of online and in-person classes
- Classes: Mon & Wed 19:00 – 21:00
- Spring Semester: March-June
- Fall Semester: September-December
- Teaching language: English
- Age: 18+