B01 - Datascience & Python Bootcamp - Preview
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Fundamentals of Data & AI
Course Roadmap: Fundamentals of Data & AI -
Module 1: Fundamentals of Data & AI1 Topic|2 Quizzes
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Module 2: Fundamentals of Data & AI1 Topic
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Module 3: Fundamentals of Data & AI
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Programming with PythonProgramming with Python - Course outline
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Module 1: Programming with Python1 Topic|1 Quiz
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Module 2: Programming with Python1 Topic|1 Quiz
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Module 3: Programming with Python2 Topics|1 Quiz
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Machine Learning with PythonCourse Roadmap: Machine Learning with Python
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Module 1: Machine Learning with Python1 Topic|1 Quiz
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Module 2: Machine Learning with Python1 Topic|1 Quiz
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Module 3: Machine Learning with Python2 Topics
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Deep Learning with PythonCourse Preview: Deep Learning with Python
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Module 1: Deep Learning with Python1 Topic
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Module 2: Deep Learning with Python1 Topic
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Module 3: Deep Learning with Python2 Topics
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AI LiteracyCourse Roadmap: AI Literacy & Ethics course
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Module 1: AI Literacy & Ethics1 Topic
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Module 2: AI Literacy & Ethics1 Topic
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Module 3: AI Literacy & Ethics2 Topics
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Final Assignment1. Final Assignment - Introduction
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2. Final Assignment - Case
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3. Final Assignment Description - Datascience Bootcamp2 Topics
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4. Final Assignment Upload - Datascience Bootcamp
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5. Final Assignment - Presentation
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Course Roadmap: AI Literacy & Ethics course
Welcome to the AI Literacy & Ethics Course!
As artificial intelligence becomes increasingly integrated into our daily lives and decision-making systems, understanding its broader impact is essential. This course is designed to help you navigate the complex landscape of AI, not just from a technical standpoint, but also through the lens of ethics, legal responsibility, and governance.
Over the next two modules, you will explore the foundations of AI, its real-world uses, and the potential consequences—both positive and negative—of deploying these technologies. By examining real case studies like the Toeslagenaffaire, you’ll gain insight into how AI can both support and harm society, and why responsible development and implementation are crucial.
Let’s dive in and build the knowledge needed to understand, evaluate, and contribute to the ethical use of AI in today’s world.