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: Cloud Mastery - Infrastructure as Code (IaC)
Role: Attendee
Format: Technical sharing session
Content: This event dove deep into the Infrastructure as Code (IaC) methodology and using code to manage cloud resources instead of manual ClickOps. Topics included comparing AWS CloudFormation, AWS CDK, and Terraform, standard workflows for each, and the hidden risks of Configuration Drift.
Outcomes: Understood the core of IaC as “Version Control for Infrastructure,” learned to properly map tools to use cases (CDK for Developers, Terraform for Multi-cloud), and gained awareness of reliable production operations.