Event 3

“AWS Cloud Mastery Series #1 - AI/ML/GenAI on AWS”

Event Information

  • Event Name: AWS Cloud Mastery Series #1
  • Topic: AI/ML/GenAI on AWS
  • Time: 08:30 – 12:00, Saturday, November 15, 2025
  • Location: 26th Floor, Bitexco Tower, 02 Hai Trieu Street, Saigon Ward, Ho Chi Minh City
  • Role: Attendee
  • Organizer: Kha Van

Workshop Objectives

  • Overview of AI/ML landscape in Vietnam
  • Guide to using Amazon SageMaker for end-to-end ML
  • Introduction to Generative AI with Amazon Bedrock
  • Hands-on building a chatbot using GenAI

Detailed Schedule

Time Session Content
08:30 - 09:00 Welcome & Introduction Registration, networking, workshop overview, ice-breaker, AI/ML landscape in Vietnam
09:00 - 10:30 AWS AI/ML Services Overview Amazon SageMaker - End-to-end ML platform, data preparation, model training, MLOps
10:30 - 10:45 Coffee Break Break
10:45 - 12:00 Generative AI with Amazon Bedrock Foundation Models, Prompt Engineering, RAG, Bedrock Agents, Guardrails
12:00 Lunch Break Self-arranged

Key Highlights

1. Amazon SageMaker - End-to-end ML Platform

  • Data preparation and labeling: Preparing and labeling data for ML
  • Model training, tuning, and deployment: Training, tuning, and deploying models
  • Integrated MLOps capabilities: Built-in MLOps features
  • Live Demo: SageMaker Studio walkthrough

2. Generative AI with Amazon Bedrock

  • Foundation Models:

    • Claude, Llama, Titan - comparison and selection guide
    • Understanding pros and cons of each model

  • Prompt Engineering:

    • Techniques and best practices
    • Chain-of-Thought reasoning
    • Few-shot learning

  • Retrieval-Augmented Generation (RAG):

    • RAG Architecture
    • Knowledge Base integration
    • Combining proprietary data with LLMs

  • Bedrock Agents:

    • Multi-step workflows
    • Tool integrations
    • Automating complex tasks

  • Guardrails:

    • Safety and content filtering
    • Controlling AI output

  • Live Demo: Building a Generative AI chatbot using Bedrock

Key Takeaways

AI/ML Fundamentals

  • ML Lifecycle: Understanding the complete ML development lifecycle from data preparation to deployment
  • SageMaker ecosystem: Mastering SageMaker components and usage
  • MLOps practices: Applying DevOps for Machine Learning

Generative AI Skills

  • Foundation Model selection: Choosing the right model for each use case
  • Prompt Engineering: Skills for writing effective prompts
  • RAG architecture: Understanding and applying RAG to enhance LLMs with proprietary data
  • AI Safety: Understanding the importance of guardrails in GenAI applications

Hands-on Experience

  • SageMaker Studio: Real experience with ML development environment
  • Bedrock chatbot: Building a chatbot using GenAI

Application to Work

  • Apply SageMaker: Use for future ML projects
  • Prompt Engineering: Apply prompt writing skills for daily work with AI
  • RAG implementation: Build applications combining knowledge base with LLM
  • AI Safety: Implement guardrails for production AI applications

Event Experience

Participating in AWS Cloud Mastery Series #1 was an exciting experience with the trending topic of AI/ML/GenAI:

  • Hands-on experience: Direct practice with SageMaker Studio and Bedrock
  • Real-world demos: Watching real GenAI chatbot demo
  • Networking: Meeting and connecting with the AI/ML community in Vietnam
  • Updated knowledge: Learning the latest GenAI trends on AWS

Photos/ videos from the Event

Overall, the workshop provided a solid foundation for AI/ML on AWS, especially GenAI with Amazon Bedrock - technology that is changing how we build intelligent applications.