AI Fundamentals (AI-900)
Hamburg | Cloud & AI Certification Courses
2 sessions / week
This is a FREE course
If you register here, you will receive all information by mail as soon as we start the application process for the Spring 2025 Semester!
ReDI Career Track: Cloud & AI Courses
Course Overview
Your AI Superpower starts here!
Embrace and understand the hype behind Artificial Intelligence, with an emphasis on history, terminology, technology, recent developments, the possibilities and limitations of AI, ethics, regulation, and where do we go from here. You’ll look at some basic understanding behind language models and generative AI, and the ensuing technology and how it will impact our work and humanity.
This course is an opportunity for you to gain knowledge of machine learning and AI concepts along with related Microsoft Azure services and the course leads to the AI-900 exam. You will gain familiarity with AI-900’s self-paced or instructor-led learning material.
The course prepares you to take an exam for your Microsoft certification (for free!) at the end.
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Part 1: Introduction
Intro to AI: What is AI / Generative AI? How can I benefit from it in my work?
Generative AI tools: Which tools exist? How can they help you in coding and your learning process? Hands-on session
Responsible AI: AI, Ethics (Personal Responsibility, Regulations, Guardrails & other considerations) and Data Protection. What to look out for while using AI tools
Part 2: AZ-900 - Introduction to AI, Machine Learning & Generative AI tools
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
Part 3: Microsoft AI-900 Certification
Exam preparation
Taking an exam
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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 can commit at least 8 hours for career workshops or trainings during the semester
You are able to understand and speak English
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Register on https://learn.microsoft.com/ and complete the following free module:
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
You have explored cognitive intelligence AI services for capabilities such as vision, speech, and text, and their applications
You have discussed the main machine learning categories of unsupervised/supervised learning and applied them using appropriate techniques and toolsets
You have analysed the practical problems and develop appropriate software solutions using selected AI/machine learning techniques such as classification, regression, and clustering
You have discussed the ethical implications of developing AI solutions for societal contexts
You are prepared to take the Microsoft AI-900 exam and earn your certification and badge of achievement
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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)
Course Impressions
- Hamburg | Online Class
- Classes: Tue & Thu 19:00 – 21:00
- Spring Semester: March-June
- Fall Semester: September-December
- Teaching language: English
- Age: 18+