2-Day Instructor-Led Training | Course Code: MLDGAI | Level 300
Amazon Bedrock • RAG • Agents • Guardrails • FlowsCourse overview, objectives, agenda, logistics
GenAI concepts, foundation models, LLMs, transformers, tokenization, embeddings
Request components, inference parameters, Converse API, streaming
Zero-shot, few-shot, CoT, system prompts, prompt templates
Generation, summarization, Q&A, chat, RAG patterns, streaming
Vector databases, Bedrock Knowledge Bases, chunking, embeddings, retrieval
LangChain + Bedrock, chains, memory, agents, tools integration
LLM selection, BLEU, ROUGE, BERTScore, human evaluation, A/B testing
Bedrock Guardrails, content filtering, PII detection, bias mitigation
Function calling, tool use, ReAct pattern, Strands SDK
Bedrock Flows, Agents, action groups, knowledge base agents, orchestration
Summary, certification paths, continuing learning
Day 1 - Converse API, inference parameters, streaming
Day 1 - Techniques, system prompts, templates
Day 1 - Vector storage, retrieval, augmentation
Day 2 - Content filtering, PII, denied topics
Day 2 - Function calling, agent orchestration
Day 2 - Action groups, knowledge base agents