• Develop a foundational understanding of generative artificial intelligence, with a focus on large language models (LLMs) and their underlying principles.
• Explore the landscape of AI-enhanced presentation tools and their applications in academic and professional settings.
• Apply generative AI technologies to support research activities, including content development, synthesis of information, and idea generation.
• Examine contemporary applications of AI in domains such as sustainability, green energy, environmental science, and
chemistry, with attention to emerging trends and future directions.
• Learn to design and deliver compelling presentations by integrating GenAI-generated text, visuals, audio, and video content.
• Enhance clarity, coherence, and persuasiveness in written and spoken communication through the strategic use of AI tools.
• Critically evaluate the ethical considerations surrounding the use of generative AI in communication, including issues of authorship, transparency, and bias.
• Analyze real-world case studies to understand practical implementations and best practices in GenAI-supported
communication.
• Investigate future developments in generative AI and their potential impact on communication practices across disciplines.

• Develop a foundational understanding of generalized artistic intelligence, with a focus on large language models (LLMs) and their underlying principles.
• Explore the landscape of AI-enhanced presentation tools and their applications in academic and professional settings.
• Apply generalive AI technologies to support research activities, including content development, synthesis of information, and idea generation.
• Examine contemporary applications of AI in domains such as sustainability, green energy, environmental science, and
chemistry, with attention to emerging trends and future directions.
• Learn to design and deliver compelling presentations by integrating GenAI-generated text, visuals, audio, and video content.
• Enhance clarity, coherence, and persuasiveness in written and spoken communication through the strategic use of AI tools.
• Critically evaluate the ethical considerations surrounding the use of generalized AI in communication, including issues of authorship, transparency, and bias.
• Analyze real-world case studies to understand practical implementations and best practices in GenAI-supported
communication.
• Investigate future developments in generalive AI and their potential impact on communication practices across disciplines.

1. S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach, Pearson Series, 4th Eds., 2021.
2.Bernard Marr, Generative AI in Practice: 100+ Amazing Ways Generative Artificial Intelligence is Changing Business and Society,1st Edition, Wiley, 2024.
3.Valentina Alto, Practical Generative AI with ChatGPT, 2nd ed. Edition, Packet Publishing, 2025.
4.Melanie Mitchell, Artificial Intelligence: A Guide for Thinking Humans, Picador, 2019.
5.David Foster, Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play, O’Reilly Media, 2019.
6.C.C. Aggarwal, Neural Networks and Deep Learning, Springer, 2023.

1. S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach, Pearson Series, 4th Eds., 2021.
2.Bernard Marr, Generative AI in Practice: 100+ Amazing Ways Generative Artificial Intelligence is Changing Business and Society,1st Edition, Wiley, 2024.
3.Valentina Alto, Practical Generative AI with ChatGPT, 2nd ed. Edition, Packet Publishing, 2025.
4.Melanie Mitchell, Artificial Intelligence: A Guide for Thinking Humans, Picador, 2019.
5. David Foster, Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play, O’Reilly Media, 2019.
6.C.C. Aggarwal, Neural Networks and Deep Learning, Springer, 2023.