A complimentary, hands-on technical engagement designed to get developers building modern AI applications. No slideware, no demos, just real labs and architecture reviews.
Developer Days put hands-on development at the center. Work through practical challenges and build real AI application patterns in deeply technical workshops.
Work one-to-one with Oracle experts to apply the patterns to your own workload, validate design choices, and explore trade-offs. Leave with practical recommendations and clear next steps for implementation.
Application developers, software engineers, full stack developers, technical leads building AI apps, and solution architects.
Teams actively writing code, evaluating modern data & AI architectures, and modernizing or simplifying existing architectures.
Convergence of JSON, graph, time-series, and vector data; similarity functions and vector search; and what changes when an LLM reads your data instead of a person.
An end-to-end production-style RAG pipeline extended into an agentic workflow: ingestion, chunking, vector search, retrieval, response generation and multi-step agents.
Episodic, semantic and procedural memory assembled into bounded working memory through context cards, with persistent state, recall, compaction and hybrid retrieval.
Why patterns like bucketing, subset, and computed fields exist, which engine constraints they work around, and how a converged model changes the approach.
Use mongosh and existing MongoDB drivers with 26ai, then query the same data with SQL, joins, and vectors. Covers Duality Views, hybrid modeling, and single-table design.
Build a small content service end-to-end on a live 26ai instance. Model JSON data, add full-text search and graph relationships, then query across metadata, documents, text, and graph in one converged query.
One-hour sessions with individual developers or full development teams.
Entity models, access patterns, and data-layer design. Migration paths from current state to a converged platform.
Agentic system architecture across context, harness, and memory. RAG pipeline strategy and tool integration patterns.
Infrastructure consolidation roadmap, polyglot reduction strategy, and ways to reduce complexity without disrupting existing workloads.
Let’s tailor a Developer Day to your team.
Use cases, applications, architecture challenges, AI/data goals.
Event length, in-person, virtual, or hybrid; confirm Oracle LiveLabs as platform.
Align participants, topics and Oracle technical experts.
The more relevant the use cases, the more valuable the architecture review.
Send us an e-mail at devrel_mb@oracle.com and we’ll get back to you. Feel free to ask any questions you may have.
We offer in-person, hybrid, and virtual options. The workshop environment will be provided. Office hours are also held in-person, hybrid, and virtual formats. You can request just a Developer Day, just office hours, or a combination of both.
We offer Developer Days as a global program. The program is the best fit for enterprise technical teams who are actively writing code, evaluating modern data and AI architectures, and modernizing or simplifying existing architectures.
No, the workshop environment will be provided.
Oracle offers Developer Days as an investment in our customers. We don’t charge a monetary fee, we only ask for your time.
Link to the example topics and explain that the agenda is tailored to the team’s use cases and goals.
A Developer Day can be anywhere from a half day to two full days depending on the format and topics selected. We will work with you to customize your agenda.
Get ready to be hands on, and bring your laptop and questions for us.
A full-day hands-on experience focused on building skills and applying modern data and AI concepts through practical exercises.
| Time | Session | Format |
|---|---|---|
| 9:00 – 9:30 | Arrival & breakfast | - |
| 9:30 – 9:45 | Welcome & kickoff | Presentation |
| 9:45 – 11:15 | Part 1 – Data Fundamentals for AI Applications | Presentation + Hands-on |
| 11:15 – 12:30 | Lunch & networking | - |
| 12:30 – 2:00 | Part 2 – Building RAG and Agentic Applications | Presentation + Hands-on |
| 2:00 – 3:30 | Part 3 – A Practical Guide to Memory Engineering for AI Agents | Presentation + Hands-on |
| 3:30 – 4:00 | Q&A and Day 2 planning | Discussion |

