Guided Projects
Guided Projects are interactive, hands-on learning experiences designed for efficient skill acquisition. They provide a focused, practical approach to learning specific concepts or tools in a short amount of time.
The main difference between Guided Projects and Courses is that Courses are more comprehensive, include several modules, and typically require a few hours to complete. Guided Projects are short, focused, step-by-step hands-on labs that can usually be completed in less than an hour.
Key Features
- Cloud-Hosted Environment: Accessible through your browser with minimal setup required
- Time-Efficient: Typically completed in under an hour
- Focused Learning: Concentrates on specific skills or concepts
- Step-by-Step Guidance: Clear instructions and support throughout
- AI-Powered Assistance: Each project includes an AI teaching assistant
- Lifetime Access: No expiry, available whenever you need it
Project Types
Our Guided Projects utilize Skills Network Labs to provide a variety of lab environments hosted in the cloud. Examples include:
- AI Playground
- Cloud IDE
- Jupyter Notebooks
- Linux Development Environment
- Windows Development Environment
and more...
Learning Benefits
- Practical Skills: Hands-on experience with real tools and technologies
- Quick Wins: Achieve tangible results in a short time
- Confidence Building: Master specific skills through practice
- Portfolio Development: Create projects you can showcase
- Skill Verification: Demonstrate your abilities to potential employers
Project Structure
Each Guided Project includes:
- Clear learning objectives
- Step-by-step instructions
- Interactive coding environment
- Real-time feedback
- Completion verification
- Optional challenges for further practice
Certification
- Some Guided Projects offer completion certificates
- Can be part of larger learning paths
- Skills can be verified through project completion
- Can be added to professional profiles
Language Support
- Currently primarily in English but support translation using Generative AI