AI for Everyone (Non-Technical)
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AI for Everyone (Non-Technical) is a comprehensive introductory course designed for a general audience with no prior technical background. This course demystifies artificial intelligence, offering participants a clear understanding of AI concepts, terminology, and real-world applications across various industries. Students will explore the potential impacts of AI on society and the job market, delve into ethical considerations surrounding AI development and use, and learn to identify opportunities for AI implementation in their own fields. Through engaging lectures, thought-provoking case studies, and interactive discussions, participants will develop a practical grasp of AI’s capabilities and limitations. By the end of the course, students will be empowered to effectively engage with AI technologies in both their personal and professional lives, gaining valuable insights into the rapidly evolving world of artificial intelligence.
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Lesson 1.1: What is AI?Learning Objectives:
• Understand basic AI concepts and types.
• Explore the evolution and history of AI.
• Learn the core components of AI systems and how they function.
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• Identify real-world applications of AI across industries.
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Lesson 1.2: The History of AI
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Lesson 1.3: Core Components of AI Systems
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Lesson 1.4: Real-World Applications of AI
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Quiz for Module 1 -
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Assignment for Module 1
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Lesson 2.1: AI in Customer Service
Learning Objectives:
• Explore how AI improves customer service, marketing, and operations.
• Learn how businesses leverage AI tools for automation and decision-making.
• Identify AI’s real-world applications in business functions.
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• Assess the benefits and challenges of AI adoption in daily operations.
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Lesson 2.2: AI in Marketing
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Lesson 2.3: AI in Sales
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Lesson 2.4: AI in Operations
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Quiz for Module 2
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Assignment for Module 2
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Lesson 3.1: AI in Predictive Analytics
Learning Objectives:
• Understand how AI enhances business decision-making.
• Learn how AI tools are used to automate workflows and processes.
• Explore the role of AI in predictive analytics and business forecasting.
• Assess the benefits and challenges of using AI for business automation.
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Lesson 3.2: AI in Financial Forecasting
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Lesson 3.3: AI in Workflow Automation
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Quiz for Module 3
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Assignment for Module 3:
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Lesson 4.1: Ethical Considerations in AI
Learning Objectives:
• Understand the ethical implications of AI technologies.
• Explore issues related to AI bias, transparency, and accountability.
• Learn about data privacy concerns in AI systems.
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• Assess the importance of AI governance and compliance frameworks.
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Lesson 4.2: Data Privacy in AI Systems
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Quiz for Module 4
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Assignment for Module 4:
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Lesson 5.1: Identifying AI Opportunities
Learning Objectives:
• Identify areas in your business where AI can be applied effectively.
• Learn how to develop an AI adoption strategy for your organization.
• Understand the key considerations for implementing AI technologies.
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• Assess the benefits and challenges of scaling AI solutions across business functions.
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Lesson 5.2: Creating an AI Adoption Strategy
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Quiz for Module 5
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Assignment for Module 5:
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Lesson 6.1: The Role of Data in AI
Learning Objectives:
• Understand how AI enhances data analytics capabilities.
• Learn how AI processes large datasets to deliver actionable insights.
• Explore AI-powered business intelligence tools.
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• Assess the benefits and challenges of using AI for data-driven decision-making.
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Lesson 6.2: AI-Powered Business Intelligence (BI)
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Lesson 6.3: Limitations and Challenges of AI in Data Analytics
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Quiz for Module 6
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Assignment for Module 6:
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Lesson 7.1: AI and Job Automation
Learning Objectives:
• Explore how AI is transforming the workforce and workplace dynamics.
• Understand how businesses can prepare for an AI-driven economy.
• Learn about the new skills required in a workplace where AI is prevalent.
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• Assess the impact of AI on jobs and labor markets.
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Lesson 7.2: New Skills for an AI-Driven Workforce
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Lesson 7.3: Preparing for an AI-Driven Economy
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Quiz for Module 7
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Assignment for Module 7:
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Lesson 8.1: Emerging Trends in AI
Learning Objectives:
• Explore emerging trends in AI development.
• Understand the potential of AI to solve global challenges.
• Learn about the future risks and opportunities of AI advancements.
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• Assess the ethical considerations of future AI technologies.
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Lesson 8.2: AI for Solving Global Challenges
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Lesson 8.3: The Risks of Future AI Development
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Quiz for Module 8
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Assignment for Module 8:
