Explain transformers and attention, tokens and context windows, and prompt engineering (zero-shot, few-shot, chain-of-thought)
Choose between prompting, RAG and fine-tuning to customise an LLM with your own data
Describe the new OCI Enterprise AI modules (embeddings and vector stores, grounding/RAG, the OCI Responses API, function calling, MCP, memory, guardrails and access control)
Hands-on: In an OCI Free Tier account, open the Generative AI playground, run the same prompt at two temperature settings and with a few-shot example, and note how the output changes.
OCI AI portfolio, AI services and Agentic AI for Database
Name the OCI AI services (Language, Speech, Vision, Document Understanding) and pick one for a given scenario
Explain OCI AI infrastructure (GPUs, superclusters), OCI Data Science and Oracle's responsible-AI principles
Describe Oracle AI Vector Search, Select AI and the Autonomous AI Database MCP Server at a concept level
Hands-on: In the OCI Free Tier console, upload a scanned receipt to Document Understanding and run text extraction and key-value extraction. Then paste a product review into the Language service and compare its sentiment and key-phrase output.
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