3 Months (Part-Time)
Generative AI Tools in Practice
Project-Oriented, Hands-On Approach
Next Start: July 6, 2026
Course Overview
The Generative AI Tools in Practice course is designed for developers, designers, entrepreneurs, and professionals. Covers LLMs, AI chatbots, and multimedia generation using open-source LLMs, WebGPU, and AI APIs.
Target Audience: Developers, designers, entrepreneurs, and professionals exploring AI applications.
Career Paths
- AI Product Prototyping Specialist
- Prompt Engineer / Generative AI Developer
- Conversational AI Designer (Chatbots)
- Creative Technologist (AI for Audio/Video/Image/3D)
- Automation Workflow Developer
- Innovation Consultant (AI Integration)
- Digital Content Engineer (AI-Assisted Media)
Course Objectives
- Understand generative AI core concepts (LLMs, diffusion models, multimodal systems)
- Learn ethical considerations and responsible use
- Hands-on experience with text, image, audio, video, 3D generation
- Build and deploy chatbots and automation agents
- Design real-world AI integration projects
Background Requirements
- Basic computer skills
- Curiosity about AI (no prior experience required)
- Creative and problem-solving mindset
- Open to hands-on learning
Curriculum by Month
Month 1
Objectives
- Understand LLMs
- Use different models
- Create simple tools
- Structure data with AI
Projects
- Large Language Models overview
- Free LLMs
- WebGPU
- Smart Memory
- Idea Generator
- AI Chatbots
- Smart Notes
Month 2
Objectives
- Automation pipelines
- Web-augmented LLMs
- Multimodal generation
- Generative UI
Projects
- Web Search with LLMs
- Automation Agents
- 3D Generation
- AI Image Generation
- Text to Music
- AI Video
- Generative UI
Month 3
Objectives
- Design complete AI product
- Deploy AI assistant
- Implement workflows
Projects
- Telegram AI Assistant
- MVP with AI
- n8n automation
- OpenClaw Personal Assistant