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Hello Guys,  Here we be covering all topic and syllabus of "Introduction to AI and Prompt Engineering"  as Latest AKTU Syllabus AAI101/AAI201 .

Unit I – Introduction to Artificial Intelligence
1. Definition and scope of AI; brief history — from Alan Turing to ChatGPT.
2. Types of AI — Narrow AI, General AI, Super AI (concept).
3. AI vs Machine Learning vs Deep Learning — what is the difference.
4. How machines learn — data, patterns, and predictions (concept, no maths).
5. AI today — where it already exists in daily life (Google Maps, Spotify, Netflix, Google Photos, voice assistants).
6. Machine Learning Concepts, Learning Strategies — Supervised, Unsupervised, Reinforcement Learning.
7. Data, Data Visualization, Data Pre-processing.
Class Activity: Students list 5 AI tools they use every day and discuss how each one 'learns'.

Branch connect: CE — AI in structural health monitoring; ME — AI in predictive maintenance; EE — smart grid; CSE — AI in compilers; BT — drug discovery; AG — crop yield prediction.


Unit II – Core AI Concepts
1. Machine learning: Classification Techniques — K-Nearest Neighbors (KNN), Naïve Bayes, Clustering Technique — K-Means.
2. Classification metrics — accuracy, precision, recall, F1 score, MAE.
3. Neural networks — concept of neurons, layers, weights (simple diagram).
4. Deep learning — what makes it 'deep'; why it needs GPUs, CNN.
5. Computer vision — how AI sees images (face recognition, medical imaging).
6. Natural Language Processing (NLP) — how AI understands text and speech.
Class Activity: Show Google Teachable Machine (teachablemachine.withgoogle.com) — train a simple image classifier in 5 minutes, no code.

Branch connect: ECE — image sensors + AI; BT — protein structure prediction (AlphaFold); AG — plant disease detection from photos; TX — fabric defect detection.


Unit III – Generative AI and Large Language Models
1. What is Generative AI — AI that creates text, images, code, audio, video.
2. Large Language Models (LLMs) — what they are, how they are trained (concept).
3. Popular LLMs — ChatGPT (OpenAI), Gemini (Google), Claude (Anthropic), Llama (Meta).
4. Tokens, context window, temperature — simple explanation.
5. Multimodal AI — text + image + voice in one model (GPT-4o, Gemini concept).
6. AI image generation — Stable Diffusion, Midjourney, DALL-E (concept + demo).
7. Limitations of LLMs — hallucination, knowledge cutoff, bias.
8. Responsible use — academic integrity, plagiarism, AI-generated content disclosure.
Class Activity: Students interact with ChatGPT/Gemini/Claude; observe how different inputs give different outputs; identify one hallucination example.

Every professional today uses at least one Generative AI tool. Understanding how LLMs work makes students better users and future developers.


Unit IV – AI Applications Across Engineering Domains
1. AI in Civil Engineering — structural health monitoring, smart cities, traffic optimisation.
2. AI in Mechanical Engineering — predictive maintenance, design optimisation, robotics.
3. AI in Electrical and Electronics — smart grids, fault detection, VLSI design automation.
4. AI in CSE — code generation (GitHub Copilot), cybersecurity, natural language interfaces.
5. AI in Biotechnology and Healthcare — drug discovery, medical imaging, genomics, wearables.
6. AI in Agricultural Engineering — precision farming, crop monitoring, drone-based spraying, soil analysis.
7. AI in Chemical and Textile Engineering — process optimisation, quality control, material design.
8. Ethical concerns — bias in AI, data privacy, job displacement, responsible AI.
Class Activity: One case study per student group — each group presents a 2-minute real AI application from their own engineering branch.

This unit ensures every student, regardless of branch, sees AI as directly relevant to their future career.

(PDF ONLY) | Introduction to AI and Prompt Engineering | AAI101/AAI201

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Hey! I’m learning with Unique Series - Civil Mantraa and you can too. Here’s a course you might like: (PDF ONLY) | Introduction to AI and Prompt Engineering | AAI101/AAI201 by Unique Series
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