Generative AI and LLM – Python Developer

This exam validates your skills in developing advanced solutions with LLMs and generative AI. You demonstrate that you can build robust pipelines, integrate tools and evaluate the quality of AI output.

You are tested on topics such as:

• Advanced prompt engineering: dynamic prompts, role prompting, memory
• Retrieval-Augmented Generation (RAG): embeddings, chunking, FAISS/Chroma
• LangChain and pipelines: chains, agents and tool integration
• Multi-step workflows, streaming and context management
• Integrating LLMs with external tools and plugins
• Quality evaluation: faithfulness, groundedness, human vs. LLM eval
• Robustness and operations: fallback strategies, logging and feedback loops
• Governance and compliance in AI solutions