Seldon Core — Practical Workflows
A intermediate–advanced course on Seldon Core (platform/tool): learn the essentials, practise with guided exercises and finish with an applied project.
Register your interest. Dates and delivery are confirmed before enrolment opens.
What you will be able to do.
Build understanding, put it into practice and finish with work you can explain.
- Apply Seldon Core to a real workflow
- Evaluate outputs with clear criteria
- Manage cost, latency and data access
- Document limitations and risks
Is this for you?
Practitioners who already work with ai & machine learning and want a structured, hands-on route into Seldon Core.
Before you begin
Machine-learning projects; containers; CI/CD
From first principles to applied work.
Concepts → Fundamentals → Guided practice → Applied task/project → Review
Planned outline. Lessons, trainer and schedule are confirmed before this course opens.
01ConceptsWhat Seldon Core is for
Understand the problems Seldon Core addresses, its building blocks and the limits of AI systems built with it.
- Core concepts and vocabulary
- Where Seldon Core fits in an AI system
- Known limitations and risks
- Choosing Seldon Core for a workflow
Write a one-page use case with a success measure and a stop condition.
02FundamentalsSetup and first result
Set up Seldon Core, handle credentials safely and produce a first working result.
- Installation or account setup
- Keys, secrets and data access
- A first end-to-end example
- Reading outputs critically
Produce a first working result and record what you checked.
03FundamentalsCore APIs and patterns
Learn the main APIs and the patterns practitioners use with Seldon Core.
- Main APIs and configuration
- Inputs, outputs and data formats
- Structured outputs or pipelines
- Errors and retries
Build three small examples that use the core APIs.
04Guided practiceData and context
Feed the right data in and keep sensitive data protected.
- Preparing and cleaning data
- Retrieval or feature preparation
- Privacy and access boundaries
- Versioning data and prompts or models
Connect a small dataset and document what data is used and why.
05Guided practiceEvaluation
Measure whether outputs are good enough, using clear criteria.
- Test sets and criteria
- Automated and human review
- Comparing versions
- Tracking regressions
Build a small evaluation set and score two versions of your workflow.
06Guided practiceCost, latency and reliability
Make the workflow affordable, fast enough and safe to run.
- Cost and latency measurement
- Caching and batching
- Monitoring and tracing
- Guardrails and human review
Measure cost and latency and apply one improvement.
07Guided practiceProduction AI systems
Take Seldon Core from prototype to production.
- Deployment patterns
- Advanced evaluation and monitoring
- Security: prompt injection and data leakage
- Scaling and cost controls
Harden your workflow for production and document the risks.
08Applied task/projectProject: an evaluated AI workflow
Apply Seldon Core to one real workflow and show evidence that it works.
- Scope and success measure
- Build
- Evaluation report
- Limitations and risks
Deliver the workflow with an evaluation report and documented limitations.
09ReviewReview and responsible use
Consolidate responsible-use practices and plan improvements.
- Risk and limitation review
- Maintenance as models and libraries change
- Documentation for users
- Next steps
Complete the review checklist and write a short model or workflow card.
Where this course stands.
Verify current documentation and maintenance status; pin supported lab versions before launch
- Course ID
- IWA-0440
- Content
- Outline proposed
- Trainer
- To be assigned
- Enrolment
- Not open · requests welcome
- Publication
- Planned
- Catalogue date
- 2026-10-06
Want to learn this?
Share your interest. We’ll confirm availability, batch dates and the fee separately, so you can decide when the details are ready.
- Your course is already selected
- Just your name and email to get started
- No payment or booking commitment
A certificate, and support for what comes next.
Finishing Seldon Core — Practical Workflows is planned to include the support below. It opens with the first batch; enrolment pages confirm what is included before you pay.
Completion certificate
Issued with a unique ID once your final project passes review. It records what you built, not just attendance.
Certification policyJob-readiness support
Portfolio and GitHub review, resume feedback, a mock interview and referrals when suitable openings come up. No placement guarantee.
Career mentorshipFreelancing support
Guidance on pricing, proposals and your first client project, plus a review of your freelance profile and portfolio.
Build client-style projectsStartup community
An invite to the Innovate with Ajay community to meet builders, find co-founders, join hackathons and get feedback on product ideas.
Explore the community