• Define Artificial Intelligence and explore its various branches.
• Understand key concepts like machine learning, deep learning, and neural networks.
• Differentiate between different types of AI, such as supervised learning, unsupervised learning, and reinforcement learning.
• Identify the ethical considerations surrounding AI development and usage.

• Machine Learning: We'll explore how algorithms learn from data without explicit programming, using tools like TensorFlow and PyTorch.
• Deep Learning: We'll look at how artificial neural networks, inspired by the human brain, are used for complex tasks like image recognition and natural language processing, using platforms like Keras and PyTorch Lightning.
• Neural Networks: We'll understand how these interconnected nodes process information like the human brain, forming the foundation of deep learning

• Storytelling: We'll explore how AI can craft narratives, generate scripts, and even design characters with tools like LaMDA and Bard for writing, Amper Music for composing music, and Midjourney for image generation.
• Branding: We'll see how AI can analyze consumer sentiment with Brandwatch, predict market trends with Google Trends, and even create unique brand identities and logos with Logomakr.
• Product Design: We'll discover how AI can generate innovative ideas and brainstorm product designs with IBM Maximo.
• Ethical Considerations: As we embrace AI, it's crucial to address its ethical implications. This session will explore topics like bias in AI algorithms, privacy concerns, and potential job displacement. We'll discuss responsible AI development and usage practices.

• Interactive quiz: Test your understanding of key AI concepts through a fun and engaging quiz, focusing on the mentioned subfields and tools.
• Group discussion: Participate in discussions to explore the ethical considerations surrounding AI and brainstorm responsible solutions, considering the potential impact on various creative fields.
• Guest lecture (Optional): Invite an AI expert to share their insights and experiences on the ethical and creative applications of AI, including specific examples of tool usage and real-world scenarios.

• Discuss the basics of AI and its various branches, including machine learning, deep learning, and neural networks.
• Explain the differences between these types of AI and how they contribute to AI functionalities.
• Identify the potential benefits and risks associated with AI development and implementation.
• Analyze real-world examples of AI applications in creative fields, understanding the specific tools used and their impact.

es 

- Integrating skills learned from all modules into a comprehensive project

- Building a professional design portfolio

- Presenting and showcasing completed projects