Course Syllabus

AI Project Builder syllabus

Advanced AI development for students who want to build agents, deploy projects, and work with APIs and voice AI.

Sunday, 2 August 20262 hours

Introduction to AI and LLMs

Understand how large language models work and where they are used in modern AI products.

What you'll learn

  • Introduction to AI and LLMs
  • LLMs architecture attention research paper
  • Multimodal LLMs
Sunday, 9 August 20262 hours

Prompt engineering

Learn how to create clear, useful prompts that guide AI models effectively.

What you'll learn

  • The art of prompt engineering
  • Creating a well structured prompt
Sunday, 16 August 20262 hours

Generative art and cinematic prompting

Use prompts to create visuals with strong style and cinematic direction.

What you'll learn

  • Generative Art
  • Cinematic prompting (Meta AI)
  • Notebook LLM
Sunday, 23 August 20262 hours

Voice and media creation

Use AI media tools to explore audio, avatars, music, and text-to-speech workflows.

What you'll learn

  • Voice cloning using AI
  • AI Avatars
  • Text to speech AI models
  • Creating music using AI
Sunday, 30 August 20262 hours

Introduction to APIs

Learn how to access model playgrounds and use API keys to connect developer tools.

What you'll learn

  • Introduction to API
  • Exploring OpenAI/Gemini playground
  • Accessing Developers key
Sunday, 6 September 20262 hours

GitHub and version control

Set up Git, understand how GitHub works, and push a simple file into a repository.

What you'll learn

  • Introduction to Github
  • Installing Git
  • Understanding how github works
  • Push a simple file in a github repository
Sunday, 13 September 20262 hours

Introduction to agentic AI

Understand what makes something an agent and build a basic AI agent with OpenAI SDK tools.

What you'll learn

  • Introduction to Agentic AI
  • What makes something an agent
  • Tools used with agent
  • Creating an AI agent using openAI sdk
Sunday, 20 September 20262 hours

Real-time voice AI and deployment

Learn the basics of real-time voice AI, LiveKit deployment, and testing on the agent console.

What you'll learn

  • Real time voice AI
  • WebRTC straming basics
  • Configuring STT, TTS and LLM pipeline for voice agent
  • Deploying the LiveKit Agent
  • Customizing system instructions for voice behaviors
  • Testing on the Agent Console
  • Push code on github
What students build

AI Project Builder outcomes

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

A live, working GitHub portfolio repository

An operational AI project script

An official achievement certificate