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AI and AutomationAdvanced
AI Engineering with LLMs: RAG + Evaluation + Security
Understand AI Engineering from vector databases and retrieval-augmented generation to output evaluation, security, and the operational cycle required to serve models in real products.
19 lessonsCertificate includedUSD 10 (~ARS 10.000)
Course syllabus
1LLM fundamentals for engineers
3 lessons
LLM fundamentals for engineers
- APIs
- Prompting
- Costs and tokens
2Retrieval-Augmented Generation (RAG)
3 lessons
Retrieval-Augmented Generation (RAG)
- Embeddings
- Vector databases
- Chunking
3LangChain and indexing
3 lessons
LangChain and indexing
- Chains
- Tool calling
- Conversation memory
4Evaluating RAG systems
3 lessons
Evaluating RAG systems
- Metrics
- RAGAS and DeepEval
- Datasets
5Security and guardrails
3 lessons
Security and guardrails
- Prompt injection
- Jailbreaks
- NeMo Guardrails
6Deploying AI apps
3 lessons
Deploying AI apps
- FastAPI for AI
- Rate limiting
- LangSmith observability
7Final project
1 lessons
Final project
- Deploy a RAG system on your own documents
What you will learn
LLMsRAG pipelineLangChainVector databasesPrompt injectionEvaluation
Certificate
AI Engineer Certificate - CumbreAcademy
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Investment: USD 10 (~ARS 10.000)
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