Whether you're a supply chain, sales, or marketing professional who wants AI skills — or a data scientist who needs domain depth — the Forward Deployed Engineer is your destination.
AI is reshaping every industry. Professionals who don't adapt will be left behind.
"AI can generate code, analyze data, and draft reports. The scarce resource is the professional who knows which question to ask, which model fits, and how to drive adoption. That's something new."
— Inspired by the Forward Deployed Engineer model, Palantir Technologies
McKinsey calls them translators; BCG calls them T-shaped; Palantir calls them FDEs. The highest-leverage professional sits at the intersection of domain, analytics, and AI.
Deep understanding of what decisions matter and what the business needs.
Model problems mathematically and translate data into business decisions.
Deploys AI tools — LLMs to ML models — knowing when AI adds value and when simpler methods win.
"The most important AI skill isn't prompt engineering — it's knowing what to build. That requires domain expertise most AI courses skip."
— Ethan Mollick, Wharton School of Business
Co-Intelligence: Living and Working with AI, 2024
"The demand for AI and big data skills is projected to grow by 65% between 2023 and 2030, making it the fastest-growing skill category globally."
— World Economic Forum
Future of Jobs Report, 2025
"We need professionals who speak business, data, and technology. Companies that build this capability internally will outperform."
— McKinsey & Company
The Age of AI: Realizing the Potential, 2024
Each track builds a different FDE pillar. Take one, or stack them for the full transformation.
14 modules. Domain + Analytics. From supply chain fundamentals to Python optimization and ML.
Domain + Analytics1 week intensive. 5 AI tools. Go from Excel user to shipping web apps with AI — no coding required.
AI Fluency6 weeks. MBB-grade problem solving, executive communication, and the Pyramid Principle.
Communication + Strategy14 modules across 6 phases — from supply chain fundamentals to applied AI. Case studies modelled on CPG, Life Sciences, and Pharma scenarios.
This program deepens your domain knowledge while teaching you the analytics and AI skills to build forecasts, run optimizations, and direct AI tools — so you stop waiting for the data team and start driving insights yourself.
This program gives you the supply chain domain context your models are missing — demand patterns, inventory logic, S&OP cycles, network constraints — so your work solves problems stakeholders recognize and actually deploy.
| Module | Title | Key Topics | Status |
|---|---|---|---|
| M01 | Foundations & Strategic Context | Risk frameworks, OTIF metrics, Cash-to-Cash (C2C) cycle, supply chain performance measurement | Complete |
| M02 | Demand Intelligence & Forecasting | SES, Holt-Winters, ARIMA, MAPE / RMSE, demand std deviation (σ_d), forecast bias analysis | Complete |
| M03 | Strategic Procurement | Total Cost of Ownership (TCO), Kraljic Matrix, supplier evaluation, weighted scoring models | Complete |
| Module | Title | Key Topics | Status |
|---|---|---|---|
| M04 | Inventory Management — Core | EOQ (Q*=√2DS/H), Reorder Point, Safety Stock (z·σ_dL), newsvendor critical ratio, service-level mathematics | Complete |
| M05 | Inventory Optimization — Advanced | Risk pooling (σ_pooled=σ/√n), centralization effects, ABC-XYZ segmentation, VMI, multi-echelon inventory | Complete |
| Module | Title | Key Topics | Status |
|---|---|---|---|
| M06 | Integrated Business Planning & S&OP | 5-step S&OP cycle, consensus demand planning, bullwhip effect, IBP platforms (SAP IBP, o9, Anaplan) | Complete |
| M07 | Manufacturing & Production Planning | OEE (Availability × Performance × Quality), MRP, Cpk, production scheduling, capacity utilization | 🔄 In Development |
| M08 | Distribution, Logistics & Network Design | Center of gravity (x*=Σd·w/Σw), facility location, route optimization, cost-per-delivery modeling | 🔄 In Development |
| Module | Title | Key Topics | Status |
|---|---|---|---|
| M09 | Advanced Optimization & Linear Programming | LP, MILP, transportation problem, shadow prices / dual values — Python / PuLP / Gurobi / OR-Tools | Complete |
| M10 | SC Optimization & Analytics | Scenario analysis, prescriptive analytics, multi-objective optimization, decision modeling | 🔄 In Development |
| Module | Title | Key Topics | Status |
|---|---|---|---|
| M11 | AI & Intelligent Automation | ML forecasting (DeepAR, LightGBM, Prophet), AI-driven optimization, agentic AI workflows, Blue Yonder, Kinaxis, Relex | Coming Soon |
| M12 | Cost-to-Serve & Financial Modeling | Customer profitability, cost attribution, DIO / DSO / DPO, full C2C financial modeling | Coming Soon |
| Module | Title | Key Topics | Status |
|---|---|---|---|
| M13 | SC Productization & Consulting | Business case development, MBB consulting methodology, NPV analysis (Σ(B-C)/(1+r)^t), implementation planning | Coming Soon |
| M14 | Capstone — NovaPharma Consumer | Expert-designed end-to-end case: pharma OTC product launch combining Life Sciences supply chain + CPG demand + FMCG distribution. Integrates all 13 prior modules. | Coming Soon |
Whether you come from operations, IT, or academia — SCAI meets you where you are.
SC managers, planners, S&OP leads, procurement professionals. Add analytical fluency to your decision-making.
Data analysts, ML engineers, BI developers, data engineers. Add domain depth to your technical skills.
MBA and engineering graduates targeting consulting, analytics, or SC roles. Build skills that take others years.
Each module connects to a business decision, not a textbook concept.
Calculate safety stock, EOQ, and reorder points for multi-SKU scenarios.
Build forecasting models — Holt-Winters to LightGBM — and interpret accuracy metrics.
Formulate and solve LP / MILP problems using Python, PuLP, and OR-Tools.
Design S&OP processes and manage consensus planning across functions.
Deploy AI tools (Amazon Forecast, Claude API, Blue Yonder patterns) in supply chain workflows.
Structure and present supply chain recommendations using MBB frameworks.
Every module uses industry-realistic datasets and professional tools — not sanitized textbook problems.
Start LearningComplement SCAI or take as a standalone track.
Use Claude Code, Copilot, Codex, Gemini, and Cursor to automate Excel, build dashboards, and ship web apps — no coding required.
Structure problems and present recommendations the MBB way — from MECE issue trees to boardroom presentations.
1 week. 8 modules. 5 days. Use 5 leading AI coding tools to automate spreadsheets, build dashboards, ship web apps, and measure ROI — no programming required.
| Module | Title | Key Topics |
|---|---|---|
| M01 | The AI Coding Landscape | What AI coding assistants are, how LLMs generate code, 5-tool comparison (Claude Code, Copilot, Codex, Gemini, Cursor), capability matrix, use-case matching, pricing overview |
| M02 | Getting Started — Setup & First Prompts | Installing each tool, API keys vs subscriptions, prompt anatomy, iteration techniques, understanding token costs, first working outputs |
| Module | Title | Key Topics |
|---|---|---|
| M03 | Excel, PowerPoint & Spreadsheet Automation | VBA macros via AI, complex formula generation, data cleaning/transformation, pivot automation, Excel-to-API connections, PowerPoint deck generation, slide formatting |
| Module | Title | Key Topics |
|---|---|---|
| M04 | Data Analysis & Dashboards | Python/SQL via AI prompts, chart generation, Streamlit/Gradio dashboards, database connections, CSV-to-insight pipelines, automated reporting |
| Module | Title | Key Topics |
|---|---|---|
| M05 | From Idea to Web App | Full web app via AI prompts (frontend + backend), deployment (Vercel/Replit), iterating with screenshots, examples: inventory tracker, approval workflow |
| M06 | Team & Enterprise Use | Shared workspaces, code review with AI, knowledge bases, governance & security, IP considerations, role-based access, scaling AI tools across your organisation |
| Module | Title | Key Topics |
|---|---|---|
| M07 | ROI, Cost & Time-to-Market | Pricing deep-dive across all 5 tools, time-saved measurement, build-vs-buy framework, break-even analysis, building the business case for AI adoption |
| M08 | Capstone Project | End-to-end project: identify a business pain point → select AI tools → build a working solution → deploy → measure ROI. Certificate of completion |
6 weeks. 6 modules. Structure problems, build analytical narratives, and present recommendations the MBB way — then go beyond the deck with a forward-deployed mindset.
| Module | Title | Key Topics |
|---|---|---|
| M01 | The Consulting Mindset: Structure Before Solutions | MECE principle, issue trees (profitability, market entry, M&A), hypothesis-driven approach, framework fluency: Profitability Tree, 3C's, Porter's Five Forces, Value Chain, BCG Growth-Share Matrix, McKinsey 7S, Ansoff Matrix |
| Module | Title | Key Topics |
|---|---|---|
| M02 | Finding the Real Problem: RCA & Analytical Depth | Fishbone / Ishikawa diagram (6M categories), 5-Whys technique (Toyota Production System), Pareto Analysis (80/20), market sizing (top-down, bottom-up, triangulation), unit economics, break-even analysis, sensitivity analysis |
| Module | Title | Key Topics |
|---|---|---|
| M03 | The Analytical Narrative: From Numbers to "So What" | Pyramid Principle (Barbara Minto), SCQ framework (Situation-Complication-Question), the "So What" test, governing thought structure, chart selection & data storytelling, synthesis across workstreams |
| Module | Title | Key Topics |
|---|---|---|
| M04 | Commanding the Room: C-Suite Communication | Consulting slide anatomy (action titles, ghost decks, storyboarding), slide archetypes (waterfall, bridge, Harvey balls, quadrant), the 30-second rule, executive summary design, board-level communication, managing Q&A & pushback, McKinsey's "obligation to dissent" |
| Module | Title | Key Topics |
|---|---|---|
| M05 | Beyond the Deck: Operating as a Forward-Deployed Problem Solver | Palantir FDE model, implementation orientation, consulting templates (workplan, RACI, stakeholder map, hypothesis tracker, interview guide), stakeholder management, change management (ADKAR, Kotter's 8-step), the "last mile" problem, first 90 days playbook |
| Module | Title | Key Topics |
|---|---|---|
| M06 | The Full Case, Start to Finish | End-to-end case simulation: problem scoping → issue tree → data analysis → root cause identification → Pyramid-structured synthesis → 15-slide board presentation with Q&A. Deliverables: hypothesis tracker, analytical workbook, recommendation deck, executive memo, implementation roadmap |
Build 10+ MECE issue trees across industries using the same methodology as McKinsey, Bain, and BCG.
Apply Fishbone, 5-Whys, and Pareto analysis on industry datasets. Every root cause must be evidence-backed.
Master the Pyramid Principle, ghost decks, and action titles. Practice executive presentations with live Q&A.
Live virtual sessions with peer groups and applied projects.
8–12 WeeksCustomised 2–5 day intensive sessions for mid-to-senior teams. On-site or virtual.
2–5 DaysPlatform-hosted modules with exercises, assessments, and certification.
On-DemandEquip yourself or your team with analytical and AI skills that solve business problems.