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AKTU Principles of Generative AI (BAI070) Syllabus PDF – B.Tech 4th Year

Principles of Generative AI BAI070

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  • Semester 7
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Official AKTU syllabus of Principles of Generative AI (BAI070) for B.Tech 4th Year – 3 credits, L-T-P 3-0-0. Read the unit-wise course content, course outcomes, evaluation pattern and recommended books online, or download the PDF.

Syllabus — Principles of Generative AI

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BAI070 · 3 credits · L-T-P 3-0-0

Course Outcomes

At the end of course, the student will be able to

CO 1Understand the fundamental concepts and real-world applications of Artificial Intelligence and Generative AI tools and platforms.K 2
CO 2Apply prompt engineering techniques to design optimized and context-aware prompts for generative tasks in various AI platforms.K 3
CO 3Analyze the effectiveness of generative AI in domains such as education, office automation, marketing, and healthcare through specific use cases.K 4
CO 4Evaluate and compare various generative AI tools for content generation, code assistance, media creation, and automation.K 5
CO5Design AI-based workflows for real-world applications using tools like ChatGPT, GitHub Copilot, Jasper, and othersK 5

Course Content

L-T-P: 3-0-0

UnitTopicProposed Lecture
IFoundations and Fundamentals of Generative AI: Introduction to Artificial Intelligence: Definitions, Foundations, Scope, and Applications, Implications of AI across industries, Fundamentals of Generative AI: Concept, Evolution, Capabilities, Applications of Generative AI in various domains, Introduction to Generative AI platforms: ChatGPT (OpenAI), Gemini (Google), GitHub Copilot (Microsoft)08
IIPrompt Engineering and Prompt Optimization Techniques:Basics of Prompt Engineering, Types of Prompts: Declarative, Interrogative, Instructional, Advanced Prompt Engineering: Chain-of-Thought Prompting, Zero-shot and Few-shot Prompting, Prompt Optimization Techniques, Use Cases and Practical Examples in Coding, Writing, and Customer Interaction08
IIIGenerative AI Applications in Workplace and Education: AI in Office Productivity: Email Writing, Report Drafting, Minutes of Meeting (MoM), Proposal Writing, Summarization, and Task Automation:, Generative AI in Education: AI for Content Creation, Summarization, and Explanation, Curriculum Design using AI Tools, AI in Assessment, Feedback, and Visualization (e.g., Mindmaps, Infographics)08
IVDomain-Specific Applications of Generative AI: Generative AI in Digital Marketing: Content Strategy for YouTube, Facebook, Instagram, X (Twitter), LinkedIn and AI in Professional Branding, Email Marketing Automation and AI in E-Commerce; Generative AI in Healthcare and Agriculture: Diagnosis Assistance, Patient Data Summarisation, Crop Monitoring, Yield Prediction using AI08
VCreative and Technical Aspects of Generative AI: AI-Assisted Programming (e.g., Code Generation, Auto Debugging using Copilot, GPT-4), Generative AI in Creative Domains: Image & Design Generation (DALL·E, Midjourney), Music Composition with AI Tools; AI in Gaming & Animation (e.g., Scenario Generation, NPC Scripting), Customer Interaction Automation: Chatbots, Virtual Assistants, and Voice AI; Exploration of Popular AI Tools & Platforms: RunwayML, Jasper, Synthesia, Lumen5, Bard, etc.08

Text Book (s)

  1. Emerson, J, Ripples of generative AI: Navigating AI's impact on society. AI Press (2023). Reference Book (s)
  2. Pandit, R., Generative AI (Hardcover), Notion Press (2024).
  3. OpenAI. (n.d.). OpenAI, from https://openai.com/
  4. Google. (n.d.). Gemini, from https://gemini.google.com/
  5. Microsoft. (n.d.). Copilot, from https://copilot.microsoft.com/chats/VkLP7TbPcVtu4dDjpDVTv SWAYAM/NPTEL/MOOCs Certification:
  6. https://onlinecourses.swayam2.ac.in/imb25_mg135/preview
  7. https://onlinecourses.swayam2.ac.in/nou25_ge85/preview
  8. Pandit, R., Generative AI (Hardcover), Notion Press (2024).
  9. OpenAI. (n.d.). OpenAI, from https://openai.com/
  10. Google. (n.d.). Gemini, from https://gemini.google.com/
  11. Microsoft. (n.d.). Copilot, from https://copilot.microsoft.com/chats/VkLP7TbPcVtu4dDjpDVTv

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