Paris, France
Description :
This one-day training immerses you in the rapidly evolving landscape of AI-assisted software development. You will explore how generative AI is reshaping the developer experience, discover the leading tools in the ecosystem, and learn how to apply them to accelerate coding, testing, and deployment. The day combines expert insights with hands-on workshops to give you both a conceptual foundation and practical skills you can immediately use in your daily workflow.
Learning Objectives:
- Discover the key features of today’s most advanced AI code assistants and IDE integrations.
- Practice automating repetitive coding, refactoring, documentation, and testing tasks.
- Use coding AI agents in a vibe coding setup
- Explore emerging GenAI frameworks for DevOps, QA, and security automation.
- Assess the opportunities and risks of adopting GenAI for your development team.
Target Audience:
Developers, software engineers, and technical teams looking to accelerate their development cycles.
Duration:
1 day (9:00–12:30 & 13:30–17:00).
Number of Participants:
Maximum 12 participants.
Prerequisites:
Basic proficiency with a code editor (VS Code, IntelliJ, etc.) and Git.
Program:
Morning
- Introduction & Context: predictive vs. generative AI, evolution of LLMs, impact on developer productivity
- GenAI for Software Development: autocomplete, code suggestion, documentation, code Q&A
- Tools in Practice: GitHub Copilot, Tabnine, Mintlify
- Hands-on Exercises: refactor a feature with Copilot & Tabnine, generate documentation with Mintlify
- Vibe Coding & Next-Gen IDEs: Cursor, Windsurf, Claude Code
Afternoon
- GenAI for Web & App Development: prototyping with Uizard, Lovable
- QA & Testing Automation: Tesim, test case generation with Diffblue, visual regression with Applitools, AI-driven bug detection
- DevOps & Security with AI: optimized CI/CD (CircleCI, Harness AIDA), monitoring with Datadog Watchdog, security scans with Snyk
- RAG & Agentic AI Frameworks: build a simple RAG pipeline, orchestrate an agent workflow with LangGraph
- Wrap-up Discussion: adoption challenges, governance, and future developer experience
Pricing:
- Open enrollment: €800 excl. VAT per participant
- In-house: on request, tailored to your needs
Methods Employed:
- Live demonstrations
- Guided practical workshops
- Case studies and experience sharing
Evaluation:
- Knowledge validation quiz
- Review of the development workflows created
Delivery Mode:
Available in-person or via videoconference (Microsoft Teams). A computer with an IDE and Internet access is required.
Our sessions are accessible to people with disabilities. Please contact accessibility@eurekia-learning.com to arrange accommodations.
Contacts:
- Quality referent: Jihane Khouzaimi (06 69 53 77 75 – contact@eurekia-learning.com)
- Pedagogical referent: Hatim Khouzaimi
Note:
This training will help you optimize your productivity by integrating the best AI assistants into your development workflow.