--- title: "Agentic AI Foundations on AWS: Apply for a fully sponsored seat | SMU Academy × SG Code Campus" --- ![SG Code Campus](https://training.sgcodecampus.com/hubfs/sgcc-logo.png) ![SMU Academy](https://training.sgcodecampus.com/hubfs/smu-academy.svg) Fully sponsoredIn person at SMU City CampusLimited seats # Agentic AI Foundations on AWS **A fully sponsored, one-day, hands-on course at SMU City Campus.** Taught by SG Code Campus, an AWS Training Partner and affiliate faculty partner of SMU Academy, using the official AWS course curriculum. ![AWS Partner, Advanced Tier Training](https://training.sgcodecampus.com/hubfs/aws-logo.png) Official AWS curriculum Fee Fully sponsoredCatered meals included Dates Thu 3 Dec or Tue 8 Dec 2026Attend one session Venue In person at SMU City Campus Level FundamentalAWS’s entry level, for those new to agentic AI ## What you’ll learn A beginner-friendly introduction to agentic AI: systems that can plan, use tools and take actions to reach a goal, rather than simply answer questions. You’ll learn how agents differ from chat-based AI, explore the AWS tools for building them, and build a simple agent of your own in guided, hands-on labs. - What makes AI “agentic”, and how it grew out of large language models - The main types of agents (workflow, autonomous and hybrid) and when each one fits - AWS tools for agentic AI, including Amazon Quick Suite, Amazon Q Developer and Kiro - Hands-on lab: speeding up software development with Amazon Q Developer - Hands-on lab: building your first agent with the Strands Agents SDK, and how Amazon Bedrock AgentCore runs agents at scale - How agents are monitored and connected to other systems in real-world use **Designed for people new to agentic AI.** You don’t need to be an expert, but the labs involve some code, so a basic familiarity with programming, AWS and generative AI will help you get the most out of the day. ## How selection works To keep classes small and hands-on, places are limited and offered through a short selection process. We appreciate your understanding that **submitting this form does not yet confirm your seat.** 1. ### Submit your application Share your preferred date and a little about your background. It takes about three minutes, and we’ll email you to confirm we’ve received it. 2. ### Application review Our team will review each application with care and complete the selection within 3 working days. 3. ### Confirm your seat Successful applicants will receive an email with instructions to complete their registration. **Your seat is confirmed once these steps are done.** ## Laptop requirements You’ll work through hands-on labs in AWS, so you’ll need **your own laptop for the whole day**. Please make sure it: - **Has no company or other restrictions.** Work VPNs, firewalls, proxies and security software often block the AWS console and lab sites. - **Can connect to public Wi-Fi** without needing approval or extra software. - **Runs an up-to-date browser** such as Chrome, Edge or Firefox. - **Is fully charged,** and bring your charger too. Not sure whether your work laptop qualifies? **A personal laptop is usually the safest choice,** or check with your IT team before the course. ## Apply for a seat All fields are required unless marked optional. Your details **Please enter your name exactly as it appears on your NRIC or FIN,** including any middle names. We use it for your attendance record. First name Last name Mobile number Include the country code if it’s not a Singapore number. Email address Personal or work email is fine. Use one you check often, as **your selection outcome will be sent here.** Choose a date Both dates cover the same course. Pick the one you can attend. Thursday3 December 2026 Tuesday8 December 2026 **Either date works for me Best chance of a seat**Choose this if you’re flexible. Catering Meals are catered on the day. Let us know what you can eat so we can order the right food. Dietary requirement Select an option No restrictions Halal Vegetarian No beef Other (tell us below) Food allergies or other dietary notes (optional) Your background There are no wrong answers. This helps us put together a balanced class and pitch the day at the right level. How much programming experience do you have? **None**I haven’t written code before **Beginner**I’ve followed tutorials or written simple scripts **Intermediate**I write code from time to time, for work or personal projects **Advanced**Writing code is a regular part of my job How familiar are you with cloud computing? **Not yet**I haven’t worked with a cloud platform such as AWS, Azure or Google Cloud **Some exposure**I’ve done introductory training or used a cloud console occasionally **Working knowledge**I set up or manage cloud resources, such as servers, storage or databases **Professional**I hold a cloud certification or work with cloud platforms daily Which AWS services have you used? None yet Amazon EC2 Amazon S3 AWS Lambda Amazon Bedrock Amazon Q Kiro Other AWS services Select all that apply. How often do you use AI tools? **Never or rarely**I haven’t really used AI tools yet **Occasionally**A few times a month, when something comes up **Most weeks**AI is a regular part of how I work or study **Every day**I rely on AI tools for much of my day-to-day work Which kinds of AI tools have you used? **Chat assistants**ChatGPT, Claude, Gemini, Copilot **AI in workplace apps**Copilot in Microsoft 365, Gemini in Google Workspace **Custom assistants**Custom GPTs, Gems, Claude Projects **Image, video or audio generators**Midjourney, Adobe Firefly, Sora **Agents that complete tasks for you**ChatGPT agent, Claude Cowork, Manus **AI coding assistants and agents**GitHub Copilot, Cursor, Claude Code, Codex **Automations with AI steps**Zapier, n8n, Power Automate **Agent frameworks and protocols**LangChain, CrewAI, Strands Agents, MCP **Model APIs and platforms**OpenAI or Anthropic APIs, Amazon Bedrock, Hugging Face **None of these yet** Select all that apply. The examples are just a guide. How would you describe your understanding of AI? **New to it**I have a general idea of what AI is, but not how it works **Familiar**I know how to prompt well and understand limits like hallucinations **Proficient**I understand concepts like retrieval (RAG), tool use and how agents work **Advanced**I design, build or evaluate AI systems, or train and fine-tune models What would you like to get out of the course? (optional) Before you submit I understand that places are subject to selection, and that my seat will be confirmed once I complete the steps in the follow-up email. I consent to SG Code Campus and SMU Academy collecting, using and disclosing my personal data to assess my application and run this course, in line with the Personal Data Protection Act 2012. Submit application Successful applicants will hear from us within 3 working days. Delivered by SG Code Campus in partnership with SMU Academy. Questions? Email [enquiries@sgcodecampus.com](mailto:enquiries@sgcodecampus.com) © 2026 SG Code Campus Pte. Ltd. UEN 201606803M