AI Fundamentals (AI-900)

• 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 completed the cloud computing or Machine Learning course - Note: Graduates from our cloud computing and Machine Learning courses will be preferred!

• 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.