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Course Outline
Introduction
- The agentic development landscape and where Claude Code fits
- From prototype to production: mindset and workflow
- Overview of Claude Code's core primitives (CLAUDE.md, plan mode, skills, subagents)
Setting Up the Environment
- Installing and configuring Claude Code
- Writing a CLAUDE.md that guides the agent
- Using plan mode to review before executing
Session 1 — From Design to Scaffolding
- Turning an idea or design into a project plan
- Scaffolding the application with Claude Code
- Integrating data sources and a CMS
Session 2 — Quality and Deployment
- Building a test suite as a safety net
- Running quality assurance with subagents
- Configuring automated deployment (Vercel / Cloud Run)
Risks and Best Practices of AI-Assisted Code
- Common failure modes of generated code (security, dependencies, "almost works")
- Reviewing agent output with a minimal checklist
- Keeping the human in control
Summary and Next Steps
- Deliverable: a deployed application with tests and automatic deployment.
Requirements
- An understanding of software development concepts (version control, testing, deployment)
- Experience with at least one programming language and the command line
- Basic familiarity with web application structure (frontend, backend, APIs)
Audience
- Developers
- Technical product builders and founders
- Engineers adopting agentic, AI-assisted development
7 Hours
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 1450 € + VAT*
Contact us for an exact quote and to hear our latest promotions
Testimonials (2)
The session was highly interactive and applicable to the business.
Jorge Boscan - Chevron Global Technology Services Company
Course - Advanced GitHub Copilot & AI for Projects and Infrastructure
Machine Translated
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
