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.

  • 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

    • 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

    • 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

    • 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+

Teachers

 

How to apply

 
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