TrainingDevelopment & DevOps / Programming & testingNVIDIA-AGENTS
NVIDIA-AGENTSNVIDIA · authorised training
NVIDIA: Building Agentic AI Applications with LLMs (English)
This training teaches how to develop intelligent agent architectures using frameworks such as LangGraph and NVIDIA NIM, focused on scalable, production-ready applications that enable deep reasoning, real-time operations, and knowledge management. It follows a hands-on approach linking theory directly to practical exercises in building agents.
- Duration
- 1 day
- Level
- Intermediate
- Provider
- NVIDIA
- Topic
- Development & DevOps / Programming & testing
Course outline
- Fundamentals of agent abstraction and LLMs
- Introduction to LLM capabilities and pitfalls, minimal agent building
- Structured output & fulfillment mechanisms
- JSON outputs, domain alignment, stable schemas
- Retrieval mechanisms & environmental tooling
- Building external system interfaces, semantic retrieval over document sets
- Knowledge graphs & document graphs
- Document development toward canonical forms, event loops, state management
- Multi-agent systems & frameworks
- Task distribution across multiple agents, communication and orchestration
- Data flywheels & system hardening
- Using logs and feedback loops to continuously improve agents
- Scaling & productionalization
- Resource management, multitenancy, scalable server architectures
- Final assessment
- Deployment of a multi-tenant agent endpoint and testing through distributed interactions
- Real-time agents & responsible agents
- Multimodal agents, ethical pitfalls, and standards for responsible AI systems
Skills you will gain
- Recognize the limitations of LLMs and understand why agent-based systems are needed
- Design structured outputs for function calls and API integrations
- Apply retrieval mechanisms and knowledge graphs for domain knowledge
- Set up and orchestrate multi-agent systems using tools such as LangGraph
- Design resilient and scalable agent systems ready for production
Who should attend
- AI developers who want to integrate agent-like intelligence into software
- Machine Learning Engineers who want to develop advanced AI workflows
- Software engineers who want to build agents that intelligently control APIs, databases, and other systems
- Architects who want to design scalable multi-agent systems for enterprise environments
- Product owners who want to implement advanced AI solutions within their products
Prerequisites
- Basic knowledge of Large Language Models (LLMs) and AI applications
- Experience with APIs and data structures is recommended
- Some experience with software development or system integration is an advantage
Upcoming dates
These sessions run online with LLPA partners. Times are shown in Polish time, and the language of delivery is listed for each date.
| Date | Times (Polish time) | Language | Status | Price | Action |
|---|---|---|---|---|---|
| 09:30–16:30 | English | Scheduled | 4330 PLN | Request a quote |
4330 PLN
Ask about dates