The Artificial Intelligence Nanodegree offers a beginner-friendly introduction to the core concepts of AI. It’s designed for individuals looking to understand AI’s principles, applications, and impact across industries without requiring prior technical knowledge. By the end of the course, learners will have a solid foundation in AI and the confidence to pursue further AI-related education or incorporate AI insights into their professional careers.

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Course Objectives:

• Develop a foundational understanding of AI concepts, techniques, and applications
• Understand the various types of AI, including Machine Learning and Neural Networks
• Learn about the real-world applications of AI in industries such as business, healthcare, and transportation
• Explore the ethical and societal implications of AI technologies

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Module 1: Understanding Artificial Intelligence 

• What is AI?
• Types of AI:
• Narrow AI vs. General AIMachine Learning, Deep Learning, and Neural Networks (overview)
• Applications of AI:
• AI in everyday life (voice assistants, chatbots, recommendations)

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Module 2: Machine Learning for Beginners 

• Introduction to Machine Learning:
• What is Machine Learning (ML)?
• Key ML concepts (supervised vs. unsupervised learning)
• Basic ML Models
• Regression, Classification, and Clustering
• Practical Applications of ML:
• AI in data analysis, predictive modeling, and customer insight

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Module 3: AI in Action: Real-World Use Cases 

• AI in Business: Automation and AI in Decision-making
• AI in customer service (chatbots and virtual assistants)
• AI in Healthcare:
• AI in diagnostics and personalized medicine
• AI in Transportation and Robotics:
• Self-driving cars and robotic process automation
• AI in Creative Industries:
• AI in art, design, and content creation

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Module 4: Introduction to AI Tools and Frameworks 

• Exploring AI Tools
• Overview of basic AI platforms and frameworks
• Introduction to non-coding AI tools like Google AutoML and IBM Watson
• Guided demonstrations of AI-powered tools
• Using AI tools for simple, practical applications

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Module 5: Final Project and Course Wrap-up 

• AI Case Study Analysis:
• Review a real-world AI application and discuss its impact
• Group Discussion and Reflection:
• Reflect on how AI can impact various industries
• Final Assignment:
• Prepare and present a simple AI strategy for a specific industry or problem

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Career Path After Completion:

Upon completing this Nanodegree, learners will be prepared to:

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