During my internship, I participated in four AWS-related events and workshops. They helped me strengthen both my cloud fundamentals and my understanding of more advanced topics like AI/ML, security, data, and DevOps.
Event Name: AWS re:Invent re:Cap Vietnam
Role: Attendee
Format: Multi-track, in-person conference
Content: This event specifically focused on distilling the most important announcements from AWS re:Invent. I attended deep-dive sessions on next-generation data infrastructure purpose-built for Generative AI, including Vector Database on S3 and Natural Query Language in Amazon OpenSearch Service.
Outcomes: Gained practical insights into building large-scale, cost-effective RAG applications and how natural language interfaces are making data exploration more intuitive.
Event Name: Cloud Mastery
Role: Attendee
Format: Technical talk and knowledge sharing
Content: The session explored systematic prompt engineering techniques using a structured framework (Role, Instruction, Context, Examples, and Constraints). It also covered advanced methods like Chain-of-Thought (CoT) and Retrieval-Augmented Generation (RAG) to improve LLM output quality while optimizing costs.
Outcomes: Learned to treat prompt engineering as a disciplined engineering process and gained a concrete framework for structuring prompts for AI-powered applications.
Event Name: AWS Community Day Vietnam
Role: Attendee
Format: Multi-track conference
Content: This community-led event featured insights on Platform Engineering as a foundation for AI/ML velocity, the shift towards Agentic AI (Multi-Agent workflows, GraphRAG), and GenAIOps practices for maintaining production-grade Generative AI systems at scale.
Outcomes: Understood the emerging role of an “Architect of the Agentic Era” and the importance of observability, safety, and guardrails in production AI workloads.
Event Name: AIML & Generative AI on AWS – AWS Cloud Mastery Series #1
Role: Attendee
Format: Full-day technical session
Content: This comprehensive session covered ML fundamentals (supervised/deep learning), the modern GenAI stack, and the Amazon Bedrock AgentCore framework. Detailed topics included embeddings (Amazon Titan), RAG workflows, managed AI services (Rekognition, Textract, Polly), and building scalable agents with AgentCore.
Outcomes: Acquired a structured mental model of the end-to-end AI/ML spectrum on AWS, from low-level data preparation to building autonomous agents.
Event Name: Cloud Mastery #3 - Cloud Security
Role: Speaker
Format: Technical sharing & community interaction
Content: I had the opportunity to speak about the fundamentals of AWS security services, specifically Identity & Access Management (IAM) and Single Sign-On (SSO). The event also explored critical strategies for Network and Application protection, providing a comprehensive view of building secure cloud environments.
Outcomes: Gained experience in technical knowledge sharing, deepened understanding of core cloud security components, and reinforced learning through engaging with shared community perspectives.