·AWS Bedrock
Module 1 Wrap-up: Foundations and Model Selection
Hands-on: Analyzing model suitability and understanding the serverless AI paradigm.
wrap-up
27 articles
·AWS Bedrock
Module 10 Wrap-up: Designing your Agent
Hands-on: Design the mission statement and tool-set for your first Bedrock Agent.
·AWS Bedrock
Module 11 Wrap-up: Giving your Agent Skills
Hands-on: Write a Lambda function and a schema for an agent that can track package deliveries.
·AWS Bedrock
Module 12 Wrap-up: The Master Planner
Hands-on: Trace the execution of a multi-step agent and identify reasoning bottlenecks.
·AWS Bedrock
Module 13 Wrap-up: The Team Lead
Hands-on: Design the architecture for a multi-agent system that handles a complex business workflow.
·AWS Bedrock
Module 14 Wrap-up: The Collaborative AI
Hands-on: Design a human-in-the-loop workflow for a high-value financial transaction agent.
·AWS Bedrock
Module 15 Wrap-up: The Observability Suite
Hands-on: Create a CloudWatch dashboard that tracks your agent's success rate and token spend.
·AWS Bedrock
Module 16 Wrap-up: The Security Audit
Hands-on: Design a secure architecture that involves IAM, Secrets Manager, and Guardrails.
·AWS Bedrock
Module 17 Wrap-up: Ready for Production
Hands-on: Design a deployment strategy for a mission-critical AI agent.
·AWS Bedrock
Module 18 Wrap-up: The Enterprise Mindset
Hands-on: Identify a business workflow that requires the control and state management of AgentCore.
·AWS Bedrock
Module 19 Wrap-up: Mapping the Logic
Hands-on: Design a multi-node AgentCore graph that includes AI reasoning and data validation.
·AWS Bedrock
Module 2 Wrap-up: Getting Ready for Code
Hands-on: Verify your AWS configuration and enable your first foundation models.
·AWS Bedrock
Module 20 Wrap-up: The High-Fidelity Assistant
Hands-on: Design an AgentCore workflow that uses a critic node to verify RAG output.
·AWS Bedrock
Module 3 Wrap-up: Your First AI Call
Hands-on: Write a script that compares the outputs of two different models using the same prompt.
·AWS Bedrock
Module 4 Wrap-up: Engineering the Instruction
Hands-on: Robust prompt engineering to reduce hallucinations and maximize cost-efficiency.
·AWS Bedrock
Module 5 Wrap-up: Real-time Performance
Hands-on: Build a streaming CLI chat application that handles tokens as they arrive.
·AWS Bedrock
Module 6 Wrap-up: Shipping the API
Hands-on: Build a functional REST API with FastAPI that exposes multiple Bedrock models.
·AWS Bedrock
Module 7 Wrap-up: Designing the Library
Hands-on: Design your first Knowledge Base and select your chunking strategy.
·AWS Bedrock
Module 8 Wrap-up: Real-World RAG
Hands-on: Build a Python script that answers questions about your S3 documents and prints the citations.
·AWS Bedrock
Module 9 Wrap-up: The Safe Assistant
Hands-on: Implement a Bedrock Guardrail and verify your grounding instructions.
·Generative AI
Module 1 Wrap-up: Mapping the AI World
Reviewing the AI landscape and testing your ability to distinguish between different AI types.
·Generative AI
Module 2 Wrap-up: Understanding the Engine
Reviewing the mechanics of LLMs and conducting a comparative model experiment.
·Generative AI
Module 3 Wrap-up: Becoming a Prompt Architect
Reviewing professional prompting techniques and completing a structured output project.
·Generative AI
Module 4 Wrap-up: The Multimodal Creator
Reviewing non-text GenAI and practicing image generation and code refactoring.
·Generative AI
Module 5 Wrap-up: Building with Intelligence
Reviewing the AI tech stack and building a simple RAG pipeline and local AI setup.
·Generative AI
Module 6 Wrap-up: Designing the Future Responsibly
Finalizing the course with a discussion on ethics and an outlook on the AI co-pilot era.
·LangChain
Module 2 Wrap-up: Designing the Brain
Reviewing model abstractions, streaming, and batching. Your final check before moving to Prompts.