Forward Deployed Engineer (AI)
capability building,
designed for your organisation.
A custom-built corporate programme for Senior developers, tech leads, and solution engineers (5+ years) deployed into client accounts to scope, build, and own AI solutions end-to-end. We design the curriculum around your tech stack, project archetypes, and target business outcomes — delivered by domain-expert trainers and reinforced through AI-evaluated assessments.
A modular syllabus, built to be tailored.
Below is our reference curriculum. Every syllabus we deliver is tailored to your customer-specific requirements — module depth, sequencing, lab environments, and capstone projects are adapted to your team's starting point, tech stack, and target outcomes.
- What an FDE actually does: discovery to adoption ownership across the full lifecycle
- Case study: teardown of 3 real FDE engagements — wins and failures — across BFSI, retail, and manufacturing
- The 2026 AI solution landscape: where RAG dominates, where agents earn their keep, where classical ML still wins
- Lab: map your own client portfolio to FDE engagement archetypes
Want the full module-by-module syllabus, sample assignments, and pricing?
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Demonstrable skills your team will apply on live projects.
Run a discovery conversation that produces a fundable solution sketch
Workshop facilitation, problem framing, JTBD mapping, AI-pattern selection, architecture diagramming — within 5 days of first client contact.
Build production-grade RAG and agentic services on customer cloud
Chunking strategy selection, vector store choice, hybrid retrieval, re-ranking, multi-agent orchestration via LangGraph/CrewAI/AutoGen on Azure or AWS.
Operationalise AI services with observability, guardrails, and cost controls
OpenTelemetry traces, online evaluation, NeMo/Guardrails AI, semantic caching, model routing, fine-tuning when warranted.
Pass the joint NovelVista + client capstone panel
Each FDE delivers: discovery doc, solution architecture, deployed service, monitoring dashboard, red-team report, and 90-day adoption plan.
Earn the FDE certification credential
Cohort first-attempt completion rate of 89% across enterprise deployments. Two attempts permitted. Co-branded certificates available for ATP partner clients.
Become the AI champion in your client accounts
FDE alumni typically take a 2-3 grade leap in client-facing scope within 6 months and become the lead solution voice on AI deals.
Where your team is now vs where they'll be after the programme.
Where most teams start
- ·Senior developer or tech lead, but new to the FDE seat — unsure how to scope an AI engagement from a discovery conversation
- ·Comfortable with Python or one general-purpose language but no production LLM/RAG experience
- ·Cloud fluency (Azure preferred, AWS/GCP acceptable) but not yet shipped agentic systems on customer infrastructure
- ·No structured methodology for problem framing, jobs-to-be-done, or AI-pattern selection in a client setting
- ·Limited fluency with multi-agent orchestration frameworks (LangGraph, CrewAI, AutoGen) for real client workloads
- ·Cannot independently take a prototype to a production-grade, observable, cost-aware service with monitoring and red-team coverage
Where they'll arrive
- ✓Client discovery & solutioning — runs discovery workshops, frames problems, scopes MVPs, maps business needs to AI patterns
- ✓Agentic AI & orchestration — designs and builds multi-agent systems with LangGraph, CrewAI, and AutoGen on customer cloud
- ✓End-to-end build & deployment — takes a solution from prototype to production-grade FastAPI service on Azure or AWS
- ✓Operationalisation & adoption — instruments, monitors, red-teams, and drives user adoption post-deployment
- ✓Capstone-evidenced delivery — ships a complete client-scenario solution evaluated by a joint NovelVista + client-side panel
- ✓FDE certification — credential portfolio piece for client-facing AI engineering roles at services firms
Built for L&D outcomes, not seat counts.
Prompt discipline, not prompt luck
Learners move from trial-and-error prompting to named patterns such as role prompting, few-shot, prompt chaining, and self-critique.
Reusable team assets
The programme produces Custom GPTs, reusable workflow templates, and a shared prompt library that teams can govern and scale.
Daily productivity workflows
Labs focus on email, reports, slides, meetings, spreadsheets, research synthesis, and role-based business assignments.
Measured time savings
Capstone workflows document recurring task compression, review-cycle reduction, and before/after productivity improvements.
Responsible enterprise use
Learners practise confidentiality, IP, bias detection, verification checklists, and safe-use protocols before adoption at scale.
Sustainment built in
30-day, 60-day, and 90-day check-ins help learners keep pace as ChatGPT features and frontier models evolve.
A four-milestone path from skill gap to client-ready.
Foundation & baseline
Establish a working mental model of ChatGPT, frontier models, tokens, context windows, hallucination risks, and model-selection trade-offs.
Prompt engineering labs
Learners practise CRISPE, SPEAR, role prompting, constraint-led prompting, few-shot prompting, self-critique, and prompt iteration on real work scenarios.
Custom GPTs & workflow automation
Each learner builds reusable GPTs and connects ChatGPT to productivity tools for email, documents, spreadsheets, meetings, and research workflows.
Capstone & sustainment
Learners demonstrate a personal AI productivity system and continue with prompt-of-the-week, model-of-the-month, and 30/60/90-day check-ins.
Want this curriculum aligned to your tech stack and project archetypes?
Why enterprise teams choose the B2B engagement model.
Domain-expert trainers, not professional presenters.
"My job isn't to teach ChatGPT as a tool — it's to help professionals build repeatable AI workflows, verify the output, and reclaim hours from routine work."
Taught by people who've actually shipped the work.
Built for L&D leaders and their learners.
Who this is for
- ·Knowledge workers who want to apply ChatGPT productively in their daily workflows
- ·Business analysts, consultants, marketing professionals, project managers, and individual contributors
- ·Teams that use ChatGPT for occasional drafting but need reliable, business-grade outputs
- ·Managers looking to establish team-wide prompt standards and safe-use protocols
- ·Organisations that want to automate repetitive work across email, spreadsheets, calendars, and documents
Pre-requisites
- ·No coding prerequisite for business and productivity tracks
- ·Basic familiarity with workplace tools such as email, documents, spreadsheets, slides, and meetings
- ·Willingness to bring real recurring tasks into labs for workflow redesign
- ·Enterprise cohorts should align data-handling expectations before learners use company or client information
Trusted by L&D leaders across the world.
"The programme moved our team from random prompting to a repeatable method. The prompt library and Custom GPTs became assets we could actually reuse."
"The most useful part was workflow automation. Learners took their weekly reports, meeting recaps, and research tasks and reduced hours of repetitive effort."
"Responsible use was handled practically. The team finally understood what can be pasted, what must be masked, and how to verify output before sending it."
Questions L&D teams ask before signing.
A Forward Deployed Engineer works directly with enterprise customers to design, deploy, customize, and operationalize production-grade AI systems and agent workflows.