Explore advanced generative AI concepts and applications including prompt engineering, text-to-image generation, interactive storytelling, and audio synthesis.
Get ready to embark on an exciting learning journey
Get ready for an incredible journey into the world of Generative AI! Imagine having the power to create intelligent applications that can understand language, generate creative content, and solve real-world problems. That's exactly what you'll learn to do in this exciting course! You're about to join a community of young innovators who are shaping the future with AI technology.
🌟 Your AI Journey Map 🌟
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START → 🧠 AI Fundamentals → 💡 Advanced Concepts → 🛠️ Hands-on Projects
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Week 1-4 Week 5-8 Week 9-16
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→ 🎨 Creative Applications → 🌟 Final Project → 🎓 AI Expert!
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Week 17-20 Week 21-24
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Welcome to AI-3 Application of Generative AI! This comprehensive course is designed to provide you with cutting-edge knowledge and practical skills in generative artificial intelligence. Through 24 carefully structured lessons, you'll progress from understanding AI fundamentals to creating innovative applications using the latest AI tools and technologies. This course combines theoretical foundations with hands-on experience to prepare you for the future of AI-powered creativity and development.
By the end of this amazing journey, you will:
Don't worry if you're new to AI! This course is designed to take you from beginner to expert. Here's what will help you succeed:
"The best way to predict the future is to invent it!" - Alan Kay
You're not just learning about AI - you're becoming part of the generation that will shape how AI transforms our world. Every tech giant, from Google to OpenAI, started with curious minds like yours. By mastering these skills now, you're positioning yourself at the forefront of the AI revolution!
Lesson | Topic | Objectives | Notes/File Link | Activities Link | Exit Ticket | Submission Link |
---|---|---|---|---|---|---|
1 | Introduction to Generative AI and Core Concepts | • Understand fundamentals of generative artificial intelligence• Learn core concepts and terminology in AI technology• Explore different types of generative AI models• Apply foundational knowledge to identify AI applications | Introduction to Generative AI & Core Concepts | Introduction to Generative AI & Core Concepts | ET-1 | Submit |
2 | Data, Training, and Bias in AI | • Understand how AI models are trained using data• Learn about bias in AI systems and its implications• Explore data quality and its impact on model performance• Apply knowledge to evaluate AI system fairness | Data, Training & Bias in AI | Data, Training & Bias in AI | ET-2 | Submit |
3 | Word Representations - Embeddings and Neural Networks | • Learn how words are represented in AI systems• Understand embeddings and vector representations• Explore neural network architectures for language• Apply knowledge to understand text processing | Word Representations - Embeddings & Neural Networks | Word Representations - Embeddings & Neural Networks | ET-3 | Submit |
4 | Advanced Model Mechanisms: Attention and Output Generation | • Master attention mechanisms in AI models• Understand how AI generates coherent outputs• Learn transformer architecture and its importance• Apply knowledge to understand model capabilities | Advanced Model Mechanisms- Attention & Output Generation | Advanced Model Mechanisms- Attention & Output Generation | ET-4 | Submit |
5 | Interacting with Language Models and Prompt Engineering | • Learn effective communication with AI language models• Master basic prompt engineering techniques• Understand prompt structure and optimization• Apply prompting strategies for different tasks | Interaction with Language Models & Prompt Engineering | Interaction with Language Models & Prompt Engineering | ET-5 | - |
6 | Project One: Hugging Face Project | • Apply generative AI to image and camera-based projects• Develop a creative application using SmolVLM• Integrate camera input and AI processing• Demonstrate project outcomes | Project 01- Hugging Face | - | Project 1 | Submit |
7 | Advanced Prompt Strategies and Retrieval Techniques | • Master advanced prompt engineering methodologies• Learn retrieval-augmented generation techniques• Understand context management and information retrieval• Apply sophisticated prompting for complex tasks | Advanced Prompt Strategies and Retrieval Techniques | Advanced Prompt Strategies & Retrieval Technique | ET-6 | - |
8 | Evaluating Models: Model Cards and Fine-Tuning | • Learn how to evaluate AI model performance• Understand model cards and documentation standards• Explore fine-tuning techniques and applications• Apply evaluation frameworks to assess AI systems | Evaluation Models - Model Cards & Fine-Tuning | Evaluation Models - Model Cards & Fine-Tuning | ET-7 | Submit |
9 | Quiz 1 + AI Coding with IDE | • Review AI fundamentals and core concepts from Lessons 1-8• Complete comprehensive assessment of theoretical knowledge• Master AI-assisted coding using integrated development environments• Learn code generation, completion, and debugging with AI | AI Coding with IDE | Quiz 1 + AI Coding with IDE | ET-8 | Submit |
10 | Project 2: Spelling Bee (Part 1) | • Begin development of AI-powered spelling bee application• Design interactive spelling interface and user experience• Implement basic spelling game functionality with AI integration• Set up word generation and pronunciation features | Project 02- Spelling Bee | - | - | - |
11 | Project 2: Spelling Bee (Part 2) | • Enhance spelling bee with advanced features and difficulty levels• Implement AI-powered word selection and adaptive difficulty• Add voice recognition and pronunciation assessment• Develop scoring system and progress tracking | Project 02- Spelling Bee | - | - | - |
12 | Project 2: Spelling Bee (Part 3) | • Complete final implementation and presentation preparation• Record comprehensive demonstration video of game functionality• Deploy project to live website and prepare presentation materials• Submit project with demo video, reflection, and presentation | Project 02- Spelling Bee | - | Project 2 | Submit |
13 | Project 3: Smart Farm Assistant (Part 1) | • Begin development of AI-powered agricultural assistant• Design chatbot interface and agricultural knowledge base• Implement basic chatbot functionality with pattern matching• Set up responsive design and user interface | Project 03- Smart Farm Assistant | - | - | - |
14 | Project 3: Smart Farm Assistant (Part 2) | • Enhance chatbot with browser APIs and advanced features• Implement Geolocation API for location-based advice• Add Local Storage for user preferences and chat history• Develop agricultural calculators and tools | Project 03- Smart Farm Assistant | - | - | - |
15 | Project 3: Smart Farm Assistant (Part 3) | • Implement specialization features and user experience polish• Choose focus area (urban gardening, sustainable farming, etc.)• Add dark/light mode and advanced UI enhancements• Implement smart features and personalization | Project 03- Smart Farm Assistant | - | - | - |
16 | Project 3: Smart Farm Assistant (Part 4) | • Complete final implementation and presentation preparation• Deploy to live website (Netlify, GitHub Pages, or Vercel)• Record comprehensive demonstration video and prepare presentation• Submit project with demo video, reflection, and presentation | Project 03- Smart Farm Assistant | - | Project 3 | Submit |
17 | Quiz 2 | • Review AI applications and practical tools from recent lessons• Complete comprehensive assessment of applied AI knowledge• Evaluate understanding of ethical AI and project development• Prepare for final project development and creative applications | - | Quiz 2 | - | - |
18 | Vibe Coding with GitHub | • Learn collaborative AI development using GitHub• Master version control and AI-assisted collaboration• Practice open-source development with AI tools• Apply modern development workflows with AI integration | Vibe Coding with Github | Vibe Coding with Github | ET-9 | - |
19 | Final Project (Part 1) | • Plan and design comprehensive creative AI application• Set up project architecture integrating multiple AI tools• Implement foundational features and user interface• Begin development of capstone creative project | Project 04- Final Project Creative Project | - | - | - |
20 | Final Project (Part 2) | • Implement core features and advanced AI functionality• Add sophisticated user interactions and AI integrations• Develop comprehensive user experience and interface design• Continue building innovative creative application | Project 04- Final Project Creative Project | - | - | - |
21 | Final Project (Part 3) | • Complete advanced features and creative implementations• Implement final optimizations and quality enhancements• Add multimedia elements and polished user experience• Refine comprehensive creative AI application | Project 04- Final Project Creative Project | - | - | - |
22 | Final Project (Part 4) | • Finalize all project features and functionality• Complete comprehensive testing and debugging• Implement final design refinements and user experience improvements• Prepare project for presentation and demonstration | Project 04- Final Project Creative Project | - | - | - |
23 | Final Project (Part 5) | • Complete final implementation and presentation preparation• Present final creative AI project to class with live demonstration• Record comprehensive demo video and prepare professional presentation• Submit completed project with demo video, documentation, and presentation | Project 04- Final Project Creative Project | - | Final Project | Submit |
24 | Graduation | • Final project evaluation and portfolio review• Course completion celebration and achievement recognition• Complete Feedback Form • Portfolio showcase and next steps for AI development | Download Graduation Background | Complete Feedback Form | Submit Testimonial | - |
By the end of this program, you'll have transformed into an AI innovator with these superpowers:
The world of AI is waiting for your unique perspective and creative ideas. Each lesson you complete, each project you build, and each challenge you overcome brings you closer to becoming an AI innovator who will shape tomorrow's technology.
Remember: Every expert was once a beginner. Today, you take your first step on an incredible journey. Tomorrow, you'll be building AI applications that can change the world!
Let's embark on this amazing adventure together! Welcome to AI-3 Application of Generative AI! :tada:
"The future belongs to those who believe in the beauty of their dreams." - Eleanor Roosevelt
Your AI journey starts NOW! :star2:
What you'll achieve by the end of this course
Understand the core principles of generative AI models
Apply AI tools across various creative domains
Learn prompt engineering and model customization
Create AI-powered art, music, and interactive stories