Explore hands-on Mlops engineer labs with real cloud environments
Build a robust agentic AI workflow with LangGraph and open-source LLMs. Implement multi-step reasoning, tool integration, conditional routing, secure logging, and export the workflow graph for validation.
Fine-tune a transformer-based LLM on the CNN/DailyMail dataset for text summarization. Preprocess data, configure training, evaluate using ROUGE and BLEU metrics, and generate high-quality abstractive summaries.
Build a production-grade Retrieval-Augmented Generation pipeline using LangChain, vector databases, and an open-source LLM to answer enterprise knowledge base queries with grounded, accurate responses.
