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Duration 21 hours
Course Outline
Introduction to Vibe Coding
- Definition and origins of vibe coding
- The “prompt-to-code” collaboration mindset
- Differences between AI coding and conventional development
Large Language Models in Coding
- LLM overview for developers: GPT-4, DeepSeek, Qwen, Mistral
- Comparison of open-source versus proprietary AI coders
- Deploying LLMs locally or through APIs
Prompt Engineering for Developers
- Effective prompting techniques for code generation and refactoring
- Managing context and conversation state
- Building reusable prompt templates for coding tasks
Hands-on Vibe Coding Environments
- Utilizing Replit for collaborative AI coding
- Integrating GitHub Copilot and Qwen Coder into IDEs
- Tailoring workflows for team collaboration
Code Quality and Validation in AI Workflows
- Reviewing and testing LLM-generated code
- Ensuring consistency, maintainability, and security
- Incorporating code validation tools into the workflow
Enterprise Integration and Governance
- Scaling vibe coding across teams
- AI governance, ethics, and compliance in code generation
- Creating organizational frameworks for AI-assisted development
Advanced Topics: Extending Vibe Coding
- Combining multiple LLMs for hybrid AI workflows
- Integrating vibe coding with CI/CD automation
- Future trends: multi-agent development ecosystems
Team Project and Collaboration
- Designing a real-world AI-assisted coding project
- Collaborating with human and AI developers
- Presenting results and assessing productivity improvements
Summary and Next Steps
Requirements
- A solid grasp of software development workflows
- Proficiency in Python, JavaScript, or another contemporary programming language
- Experience with Git-based version control systems
Target Audience
- Software engineers exploring AI-assisted development
- Engineering leads managing AI adoption in coding processes
- Enterprise teams aiming to incorporate LLMs into production pipelines
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 4800 € + VAT*
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Testimonials (1)
That i gained a knowledge regarding streamlit library from python and for sure i'll try to use it to improve applications in my team which are made in R shiny
