AI Foundation
AI Foundation - Landscape training: target audience
This course is aimed at developers, project managers, team leads and scrum masters who want to understand the current state of AI, the tools in use, enterprise integration, and quality and security challenges.
- 1 day
- 8 participants MAX
- In Geneva or at your premises
AI Foundation
AI Foundation - Landscape training: course outline
- The AI Landscape
- History
- The 4 pillars of training
- The training steps
- Generative AI and Development
- Overview
- LLMs
- Agents
- Tools
- In the Enterprise
- Inference with Ollama
- Orchestration with LangChain
- Advanced LangChain
- Emerging capabilities
- Prompt Engineering
- RAG, MCP, Skills, …
- Developing an Application
- Spec Driven Development (SDD)
- The Agentic Project
- OpenSpec
- A Python backend
- Enterprise Integration
- Migrating an existing project
- Integration strategy
- Agent harnessing
- Security
- Overview
- Guardrails
- Sensitive data
- Secrets management
- DevOps
AI Foundation
AI Foundation - Landscape training: prerequisites
Participants in this course do not need any particular AI skills or prior work experience with AI. Python development experience is a plus.
Register for our training course!