AI & Generative AI Foundation Combo

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Goal: Students will gain a strong foundation in AI and Generative AI, learning how modern AI tools work and how to use them effectively. They will be able to create text, images, and simple AI projects using prompt engineering and no-code tools. By the end, they will confidently apply AI for studies, creativity, and real-world problem-solving.

 What is AI?

• Definitions and evolution
• Weak AI vs Strong AI
• Real-world AI applications
• AI in business, healthcare, education, finance

 Understanding Data

• Types of data
• Data collection, cleaning
• Basics of datasets, features, labels

 Algorithms & Logic of AI

• Rule-based systems
• Search algorithms
• Decision making

  ML Introduction 

• What is Machine Learning?
• ML Pipeline
• Types of ML
• Supervised
• Unsupervised
• Reinforcement Learning

 Supervised Learning Concepts

• Classification vs Regression
• Common algorithms (concept-level)
• Linear Regression
• Logistic Regression
• Decision Trees

 Unsupervised Learning 

• Clustering
• Dimensionality Reduction

 Model Evaluation

• Accuracy, Precision, Recall
• Overfitting & Underfitting 

What is Deep Learning?

• Neural networks
• Neurons, layers, activations 

Modern AI Architecture Basics

• CNNs (for images)
• RNNs & LSTMs (for text/time series)
• Transformers – high-level intro

 What is Generative AI?

• Generative models vs Traditional models
• Text, image, audio, and video generation
   

Popular GenAI Models

• GPT models
• Llama
• Claude
• Stable Diffusion
• Midjourney
   

Prompt Engineering Basics

• Structure of effective prompts
• Prompt patterns:
  • Role prompting
  • Chain-of-thought
  • Constraints-based prompts
  • Few-shot prompting

Text Generation Tools 

• ChatGPT
• Gemini
• Claude
• HuggingFace Spaces 

Topics:

• Content generation
• Summarizing & rewriting
• Creative writing with AI
• Data analysis with AI 

Image Generation Tools

• DALL·E
• Midjourne
• Stable Diffusion

Topics:

• Image prompt 
• Style transfer
• Upscaling

Audio & Video Generation Tools

• Text-to-speech 
• Voice cloning introduction
• AI video generation (Runway, Pika)

 AI Automation & Workflows

• Using AI to automate documents, emails, reports 
• Integrating AI in business tasks

No-Code AI App Building

• Using tools like 
  • Google AI Studio
  • OpenAI Assistants
  • Zapier + AI

Using APIs (Beginner Level)

• What is an API? 
• Simple ChatGPT API demo

 AI Ethics

• Bias in AI 
• Fairness
• Transparency
• Safety guidelines

Copyright & AI Policies

• AI-generated content rule 
• Safe prompt practices

• Practical
• Interview Preparation