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Microsoft Professional Program for Artificial Intelligence

0 STUDENTS ENROLLED

    Build the Intelligent Future.

    Why learn Artificial Intelligence?

    Artificial Intelligence (AI) will define the next generation of software solutions. Human-like capabilities like understanding natural language, speech, vision, and making inferences from knowledge will extend software beyond the app.

     

    “Microsoft Professional Program for Artificial Intelligence” – What will you learn?

    The AI track takes aspiring AI engineers from a basic introduction to AI to mastery of the skills needed to build deep learning models for AI solutions that exhibit human-like behaviour and intelligence.

     

    The Program Structure:

    • 10 Required Units 
    • ~30 Hours Per Unit
    • 262 Hours in total
    • 10 Skills will be taught

     

    Beginner Level (100 hours) – AI Fundamentals

    • Introduction to AI
    • Introduction to Python for Data Science
    • Essential Math for AI
    • Ethics & Law in Data and Analysis

    Intermediate Level (138 hours) – Core AI

    • Data Science Essentials
    • Principles of Machine Learning
    • Deep Learning Explained
    • Reinforcement Learning Explained

    Advanced level (24 hours) – Applied AI

    • 1 of 3 AI Solutions
      • Computer Vision and Image Analysis (Coming Soon)
      • Speech Recognition
      • Text and Natural Language Processing (Coming Soon)

    Course Commencement Date: TBC

    Course Completion Date: TBC

    Course Days: TBC

     

    Language of tuition: Cantonese/English

    Location: UFO School, 70, Hing Fat Street, Causeway Bay, Hong Kong

    Enquiry Number :+852 3465 6058

     


    UFO School – Microsoft’s Authorized Training Center

     

    Course Curriculum

    Advanced Level - Big Data Solutions
    AI Competition Project Details 00:00:00
    Computer & Image Analysis Details 00:00:00
    Text and Natural Language Processing Details 00:00:00
    Speech Recognition Details 00:00:00
    Intermedia Level - Big DataProcessing
    Reinforcement Learning Explained Details 2 days
    Deep Learning Explained Details 2 days
    Principles of Machine Learning Details 24 hours
    Data Science Essential Details 18:00:00
    Beginner Level - Big Data Fundamentals
    Ethics & Law in Data and Analysis Details 18:00:00
    Essential Mathematics for AI Details 2 days
    Intro to Python for Data Science Details 18:00:00
    Intro to AI Details 16:00:00

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