• 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 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.

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.