Thursday, 21 August 2025

ANU UG/Degree Artificial Intelligence (Skill Course) Syllabus For A.Y 2025-26

 ANU UG/Degree Artificial Intelligence (Sill Course) Syllabus For A.Y 2025-26 is now available. The following is the detailed syllabus for all Five Units and their objectives 

Learning Objectives:

1. Understand the history and evolution of Artificial Intelligence and Identify major subfields of AI.

2. Investigate the role of AI in various industries like healthcare, agriculture, and education.

3. Examine concepts like bias, fairness, transparency, and accountability in AI systems.

4. Explore the integration of AI in scientific research and discuss future directions and evolving trends in AI.

5. Learn how prompt engineering is used in various sectors like education and content creation.

Course Outcomes:

Students will be able to

1. Describe the different subfields and their roles in AI applications.

2. Analyze the benefits and limitations of AI in diverse domains.

3. Evaluate AI systems in terms of inclusivity, privacy, and robustness.

4. Describe Generative AI and emerging technologies like ChatGPT.

5. Apply prompt engineering concepts to various real-world use cases.

Unit I. AI and its Subfields

Introduction to Artificial Intelligence, History, Definition, Artificial General Intelligence, Industry Applications of AI, Challenges in AI.

Knowledge Engineering, Machine Learning, Computer Vision, Natural Language Processing, Robotics.

Unit 2. Applications of AI

Healthcare, Finance, Retail, Agriculture, Education, Transportation.

Unit 3. Bias and Fairness in AI Systems

Ethics in AI, Bias and Fairness in AI Systems, Transparency in AI Systems, Accountability, Security, Privacy, Inclusivity, Sustainability, Robustness, Reliability.

Unit 4. AI in Research, Generative AI and prompt engineering

AI in Experimentation and Multi-disciplinary research, Generative AI introduction, ChatGPT, Hugging Face, Gemini and other tools basics, Perplexity, Prompt engineering Definition and its importance, Role of Prompt Engineering in AI/ML Interaction, Emerging trends and Future Directions in AI.

Unit 5. Applications of Prompt engineering

Applications of Prompt Engineering: Education, Business & Commerce, Content Creation: AI for Creative Writing,AI for creative design, writing AI scripts for video, generating slides and slidesGPT usage, Designing thumbnails and channel branding with AI

Text Books:

1. AI for Everyone: A Beginner's Handbook for Artificial Intelligence (AI) by Saptarsi Goswami, Amit Kumar Das , Amlan Chakrabarti

2. Prompt Engineering for Beginners: by Kapila Arora, Geetu Garg, Gaurav Arora.

 ANU UG/Degree Artificial Intelligence (Sill Corse) Material Download Here

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