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Course Syllabus

AI Skill Sprint syllabus

Master prompt engineering, AI research, content creation, Python AI basics, and deployment through hands-on projects.

1 hour

AI research and study notes

Learn how to upload study material in NotebookLM and turn it into useful research notes.

What you'll learn

  • AI Research & Quiz Automation
  • Using Notebook LLM to upload study material and generate study notes
  • Create custom interactive quizzes
  • Auto-generate a 5-question flashcard set
1 hour

Visual AI and slide automation

Generate posters, graphics, and slide-ready visuals for school projects and activities.

What you'll learn

  • Visual AI & Slide Automation
  • Generating high-impact school posters and digital graphics
  • Creating presentation slides via Gamma.app
1 hour

Academic prompt engineering

Use structured prompts to format answers and simplify complex ideas for better study support.

What you'll learn

  • Academic Prompt Engineering & Smart Study
  • Core prompt mechanics
  • Format answers with bullet points, bold key definitions, or tables
  • Explain a complex school topic using only analogies a 10-year-old would understand
1 hour

Intro to Python AI libraries

Explore Google Colab, install packages, import libraries, and prepare API keys for real projects.

What you'll learn

  • Intro to Python AI Libraries
  • Exploring Google Colab
  • Basic package installation using pip install
  • Importing essential AI developer libraries
  • Acquiring developer API keys from Google AI Studio or OpenAI
  • Writing your first Python script to format a query
1 hour

Scripting educational content with AI

Generate scripts and synthetic voiceovers, then prepare content for video tools and avatars.

What you'll learn

  • Scripting educational content with AI
  • Generating synthetic voiceovers
  • Feed the script into InVideo AI or HeyGen
  • Select an appropriate digital avatar
  • Click a realistic synthetic voice
1 hour

Streamlit app basics

Build a simple app in Streamlit, connect it to an AI API, and prepare it for deployment.

What you'll learn

  • How Streamlit framework works
  • Add a title box, an interactive typing box, and a clickable action button using Streamlit
  • Show how to make the web page respond
  • Connect the AI API to the web page
1 hour

API integration and deployment

Explain how the request travels from the frontend to the LLM, then deploy the webpage.

What you'll learn

  • Connect the AI API to the web page
  • Explaining how request travel from frontend to the LLM
  • Create an account on Hugging Face Spaces
1 hour

Portfolio project showcase

Review the finished project, refine the learning journey, and celebrate the final result.

What you'll learn

  • Deploying the webpage
  • Final portfolio review
  • Project presentation practice
  • Certificate and next-step guidance
What students build

AI Skill Sprint outcomes

After this course, students will have practical work they can share and continue building from.

A personal online portfolio piece with live projects

An AI-powered project built with Python and Streamlit

An official achievement certificate