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Duration 21 hours
Course Outline
Introduction to Vibe Coding
- Definition and origins of vibe coding
- The philosophy of “prompt-to-code” collaboration
- Differences between AI coding and traditional development
Large Language Models in Coding
- Overview of LLMs for developers: GPT-4, DeepSeek, Qwen, Mistral
- Comparing open-source vs. proprietary AI coders
- Deploying LLMs locally or via APIs
Prompt Engineering for Developers
- Effective prompting for code generation and refactoring
- Context management and conversation state handling
- Creating reusable prompt templates for coding tasks
Hands-on Vibe Coding Environments
- Using Replit for collaborative AI coding
- Integrating GitHub Copilot and Qwen Coder into IDEs
- Customising workflows for team collaboration
Code Quality and Validation in AI Workflows
- Reviewing and testing LLM-generated code
- Ensuring consistency, maintainability, and security
- Integrating code validation tools in the workflow
Enterprise Integration and Governance
- Scaling vibe coding across teams
- AI governance, ethics, and compliance in code generation
- Designing organisational 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 measuring productivity gains
Summary and Next Steps
Requirements
- A solid understanding of software development workflows
- Experience with Python, JavaScript, or another modern programming language
- Familiarity with Git-based version control systems
Target Audience
- Software engineers exploring AI-assisted development
- Engineering leads overseeing AI adoption in coding workflows
- Enterprise development teams seeking to integrate 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 3900 € + 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
