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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.

Sunday, 2 August 20261 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
Sunday, 9 August 20261 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
Sunday, 16 August 20261 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
Sunday, 23 August 20261 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
Sunday, 30 August 20261 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
Sunday, 6 September 20261 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
Sunday, 13 September 20261 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
Sunday, 20 September 20261 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