12 sessions shown — sessions are added and speakers named as they are confirmed. Every workshop is designed around a practical artifact, workflow, or implementation pattern.
Day 110:00–11:30Apply: AI in Your WorkflowHands-on LabBusiness / No Code
Delegating Real Work to AI
Choose the right task to hand off, give better context, review the output, and decide what should stay human.
ODSC AI InstructorDay 111:45–13:00Apply: AI in Your WorkflowHands-on LabBusiness / No Code
Files, Docs & Deliverables
Use AI to turn source material into reports, briefs, decks, spreadsheets, summaries, or decision memos — with review and judgment still in the loop.
ODSC AI InstructorDay 114:00–15:30Apply: AI in Your WorkflowHands-on LabBusiness / No Code
Making AI Work Repeatable
Move from one-off prompts to repeatable workflows by documenting the steps, prompts, review points, handoffs, and tools.
ODSC AI InstructorDay 210:00–11:30Apply: AI in Your WorkflowFunction LabBusiness / No Code
Function Lab: Sales & Marketing
Pipeline prep, account research, campaign drafts, call follow-ups, customer summaries, and team handoffs.
ODSC AI InstructorDay 210:00–11:30Apply: AI in Your WorkflowFunction LabBusiness / No Code
Function Lab: Finance & Ops
Reporting packs, reconciliations, vendor reviews, process documentation, recurring analysis, and controls-aware workflows.
ODSC AI InstructorDay 210:00–11:30Apply: AI in Your WorkflowFunction LabBusiness / No Code
Function Lab: HR & People
Job descriptions, screening summaries, policy answers, onboarding docs, employee communications, and people workflows where judgment stays human.
ODSC AI InstructorDay 214:00–15:30Apply: AI in Your WorkflowHands-on LabBusiness / No Code
Working With a Team
Set rules for delegation, review, ownership, off-limits work, and how AI-assisted workflows get adopted across a team.
ODSC AI InstructorDay 110:00–11:30AI Engineering FundamentalsWorkshopTechnical Beginner
Fundamentals 1: LLM & Agent Foundations
Start with the basic building blocks behind AI applications: API calls, structured outputs, tool use, and simple agent loops — the difference between prompting a model and building a repeatable AI workflow.
ODSC AI InstructorDay 111:45–13:00AI Engineering FundamentalsWorkshopTechnical Beginner
Fundamentals 2: Context Engineering & RAG
Learn how AI systems use external information: documents, chunking, embeddings, retrieval, context assembly, and the practical limits of RAG with real internal data.
ODSC AI InstructorDay 114:00–15:30AI Engineering FundamentalsWorkshopTechnical Beginner
Fundamentals 3: Building a Simple Agent
Move from single prompts to multi-step tasks: planning, tool use, memory, failure handling, and where an agent is useful — and where a simpler workflow is the better answer.
ODSC AI InstructorDay 210:00–11:30AI Engineering FundamentalsWorkshopTechnical Beginner
Fundamentals 4: Evals & Observability
A demo that works once is not enough. Test AI outputs, create evaluation examples, trace agent behavior, monitor failures, and decide whether a system is improving or getting worse.
ODSC AI InstructorDay 211:45–13:00AI Engineering FundamentalsWorkshopTechnical Beginner
Fundamentals 5: Production Basics: Cost, Routing & Guardrails
Model selection, routing, caching, latency, cost, guardrails, and basic risk controls — what changes when an AI workflow moves closer to production.
ODSC AI InstructorPreliminary program. Session titles, formats, and speakers are subject to change as the agenda is finalized.