AI-3: Application of Generative AI

Explore cutting-edge generative AI technologies and create innovative applications. Master prompt engineering, AI ethics, and build real-world projects using modern AI tools and platforms.

Learning Outcomes

• Master prompt engineering for generative AI models
• Build applications using GPT, DALL-E, and other AI APIs
• Create AI-powered tools for real-world problems

Prerequisites

• Computer with internet access
• Basic computer skills
• Curiosity and willingness to experiment

AI-3 Application of Generative AI - Session Logistics

Lesson	Topic	Objectives	Notes/File Link	Activities Link	Projects	Exit Ticket	Submission Link
1	Introduction to Generative AI and Core Concepts	Generative AI fundamentals and applications	Concept 01: Introduction to Generative AI & Core Concepts	Activity 01: Introduction to Generative AI & Core Concepts	-	ET-1	Submit Activity
2	Data, Training, and Bias in AI	AI training data and bias mitigation	Concept 02: Data, Training & Bias in AI	Activity 02: Data, Training & Bias in AI	-	ET-2	Submit Activity
3	Word Representations - Embeddings and Neural Networks	Text processing and neural networks	Concept 03: Word Representations - Embeddings & Neural Networks	Activity 03: Word Representations - Embeddings & Neural Networks	-	ET-3	Submit Activity
4	Advanced Model Mechanisms: Attention and Output Generation	Attention mechanisms and transformers	Concept 04: Advanced Model Mechanisms- Attention & Output Generation	Activity 04: Advanced Model Mechanisms- Attention & Output Generation	-	ET-4	Submit Activity
5	Interacting with Language Models and Prompt Engineering	Prompt engineering techniques	Concept 05: Interaction with Language Models & Prompt Engineering	Activity 05: Interaction with Language Models & Prompt Engineering	-	ET-5	-
6	Project One: Hugging Face Project	AI image and camera applications	-	-	Project 01- Hugging Face	-	Submit Project
7	Advanced Prompt Strategies and Retrieval Techniques	Advanced prompting and retrieval methods	Concept 06: Advanced Prompt Strategies and Retrieval Techniques	Activity 06: Advanced Prompt Strategies & Retrieval Technique	-	ET-6	-
8	Evaluating Models: Model Cards and Fine-Tuning	Model evaluation and fine-tuning	Concept 07: Evaluation Models - Model Cards & Fine-Tuning	Activity 07: Evaluation Models - Model Cards & Fine-Tuning	-	ET-7	Submit Activity
9	Quiz 1 + AI Coding with IDE	Assessment and AI-assisted coding	Concept 08: AI Coding with IDE	Quiz 1 + Activity 08: AI Coding with IDE	-	ET-8	Submit Activity
10	Project 2: Spelling Bee (Part 1)	AI-powered spelling game development	-	-	Project 02- Spelling Bee	-	-
11	Project 2: Spelling Bee (Part 2)	Enhanced features and adaptive difficulty	-	-	Project 02- Spelling Bee	-	-
12	Project 2: Spelling Bee (Part 3)	Final implementation and deployment	-	-	Project 02- Spelling Bee	-	Submit Project
13	Project 3: Smart Farm Assistant (Part 1)	Agricultural AI assistant development	-	-	Project 03- Smart Farm Assistant	-	-
14	Project 3: Smart Farm Assistant (Part 2)	Browser APIs and advanced features	-	-	Project 03- Smart Farm Assistant	-	-
15	Project 3: Smart Farm Assistant (Part 3)	Specialization and user experience	-	-	Project 03- Smart Farm Assistant	-	-
16	Project 3: Smart Farm Assistant (Part 4)	Deployment and presentation	-	-	Project 03- Smart Farm Assistant	-	Submit Project
17	Quiz 2	Assessment of applied AI knowledge	-	Quiz 2	-	-	-
18	Vibe Coding with GitHub	Collaborative AI development	Concept 09: Vibe Coding with Github	Activity 09: Vibe Coding with Github	-	ET-9	-
19	Final Project (Part 1)	Creative AI application design	-	-	Project 04- Final Project Creative Project	-	-
20	Final Project (Part 2)	Core features implementation	-	-	Project 04- Final Project Creative Project	-	-
21	Final Project (Part 3)	Advanced features and optimization	-	-	Project 04- Final Project Creative Project	-	-
22	Final Project (Part 4)	Testing and refinement	-	-	Project 04- Final Project Creative Project	-	-
23	Final Project (Part 5)	Presentation and submission	-	-	Project 04- Final Project Creative Project	-	Submit Project
24	Graduation	Portfolio review and course completion	Download Graduation Background	Complete Feedback Form	-	Submit Testimonial	-

Quick Links

• Exit Tickets - Assessment questions
• Course Materials - All lesson content
• Project Templates - Project specifications