LLM Fundamentals Workshop (Developer Track)

A structured engagement to design, implement, and operationalise the capability - delivered with clear scope, controlled change, and measurable outcomes.

This service is designed for organisations that need llm fundamentals workshop (developer track) delivered properly - not just configured, but implemented in a way that is secure, supportable, and aligned to day‑to‑day operations. The difference between “enabled” and “working well” is governance, design decisions, and operational clarity. Without a structured approach, organisations typically end up with inconsistent settings, unclear ownership, and repeated rework.

LW IT Solutions delivers LLM Fundamentals Workshop (Developer Track) as a practical, outcome-led engagement. We confirm scope and prerequisites, implement the required configuration/solution within your governance model, validate outcomes, and provide documentation and handover. Where this overlaps adjacent services in the Adoption, Training & Workshops pillar, we cross‑link rather than duplicate work so your roadmap stays coherent.

Talk through your requirements and leave with a clear next-step plan.

Book a discovery call

Service Overview

Highlights

Developer-focused coverage of tokens, context windows, and common failure modes
Prompt design patterns including instruction hierarchy and output constraints
Introduction to grounding and retrieval concepts with practical examples
Evaluation basics including test cases, regressions, and acceptance criteria
Safety and security topics including data boundaries, prompt injection awareness, and logging considerations

Business Benefits

Give developers a practical understanding of LLM behaviour, limits, and failure modes
Improve output quality by teaching prompt structure, grounding concepts, and evaluation habits
Reduce engineering risk by covering safety, security, and data boundary considerations
Accelerate delivery by using repeatable patterns for API integration and tool calling
Create a shared vocabulary so teams can design and review LLM features consistently

Typical use cases

Engineering teams building LLM-enabled features or internal assistants
Developers integrating LLM APIs into applications and workflows
Teams needing consistent patterns for prompts, evaluation, and guardrails
Organisations training developers before starting an AI pilot
Product teams collaborating with engineers on LLM capability delivery

Objectives & deliverables

What Success Looks Like

Confirm scope boundaries, prerequisites, and success criteria
Implement the capability safely with appropriate change control
Validate functionality and operational impact
Document configuration and decisions for long-term supportability
Provide a clear next-steps backlog for ongoing improvement

What You Get

Defined scope and success criteria
Implemented capability/configuration within agreed scope
Validation notes and acceptance summary
Documentation/handover notes relevant to the service
Backlog for next-phase improvements (optional)

How It Works

Discovery - confirm participant level, preferred tooling, and target scenarios for exercises
Workshop design - agree agenda, hands-on labs, and example prompts aligned to your stack
Delivery - run the developer track session (virtual or in-person) with practical build exercises
Review and validation - walkthrough lab outputs, discuss pitfalls, and confirm learning outcomes
Handover - provide materials, reference patterns, and next-step backlog for deeper work

Engagement Options

Core Developer Track - LLM concepts, prompting basics, safety, and hands-on labs
Extended Labs - additional time for API integration and evaluation exercises
Team Cohort - run the workshop across multiple developer groups with consistent materials
Follow-up Clinic - review implementations and reinforce patterns after the workshop

Common Bundles

Customers who use this service often bundle with these services

Adoption Readiness Workshop
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Documentation Packs & Runbooks
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Licensing Support
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Zendesk Support Setup
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Website Hosting, Maintenance & Support
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2nd–4th Line Support (On‑Demand or Retainer)
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