SYLLABUS
AI Integration for Software Engineers
A technical training for software engineers who want to integrate, deploy and operate AI models in production applications. Participants work on AI APIs, deployment strategies, MLOps, security, governance, monitoring and Generative AI use cases.
They are already training their teams with Le Wagon.
AI Integration for Software Engineers
- Understand the fundamentals of Machine Learning and Deep Learning.
- Integrate AI models and services into software applications.
- Deploy AI models through APIs and cloud platforms.
- Apply testing, regression testing and CI/CD practices to AI systems.
- Explore production strategies such as shadow deployment, A/B testing and canary releases.
- Secure AI models through access control, monitoring and governance.Use Generative AI, RAG and Azure AI services in practical projects.
Immediate results thanks to a practice-oriented pedagogy.
Experience rapid skill development with hands-on training from industry experts and see immediate results as your team applies new skills directly to your projects.
Benefit from the experience of bootcamp n°1.
Get immediately usable skills thanks to 100% live learning in cohorts. Above all, it's practical: 80% of the bootcamp consists of hands-on application.
Learn from the best experts in Tech.
Choose the best teachers for your teams. They provide individual, personalised support and the progress of each employee is monitored in real time.
Aim for excellence in just a few days.
Aim for excellence by learning from your own data and from content that is contextualised to your company's challenges, whatever the subject.
Deploy at scale and with complete flexibility.
Train your employees anywhere in the world and at your own pace, online, on your premises or on one of our campuses.
"The Wagon has been an incredible adventure. Through this experience, I have learned so much about the Tech industry with the most qualified faculty and staff, a very large alumni network and resources that are extremely helpful when you are starting out in Tech.”
consulting, Software specialist.
Renault Group
AI Integration for Software Engineers
- Understand the fundamentals of Machine Learning and Deep Learning.
- Integrate AI models and services into software applications.
- Deploy AI models through APIs and cloud platforms.
- Apply testing, regression testing and CI/CD practices to AI systems.
- Explore production strategies such as shadow deployment, A/B testing and canary releases.
- Secure AI models through access control, monitoring and governance.Use Generative AI, RAG and Azure AI services in practical projects.
Training actions: