Do I need to be a developer already?

No, but you must be willing to write code and build. This is engineering-oriented.

Can I do it while working full-time in AMS?

Yes. The program is designed for steady weekly progress and reuse in your job.

What if I don’t have access to real SAP systems?

We use anonymized data samples and local pipelines; you can still build the full stack.

PROGRAM

SAP + AI + Automation → Enterprise Systems Engineer

A 12-month, hands-on program for SAP consultants and developers focused on enterprise consulting and modern build delivery.

Outcome: 3 portfolio-ready projects (GitHub), a clear consulting + delivery foundation, a practical modern stack (Python/FastAPI, Docker, Postgres, cloud), and a content engine on MetalHatsCats to grow your personal brand.

CTA:

✅ Get the Program (PDF / Guide)
✅ Join the Waitlist / Get Updates

Get the Program (PDF / Guide)Join the Waitlist / Get Updates

Who this is for

SAP consultants / AMS leads ready to move into consulting + development delivery
Enterprise developers who want a SAP + AI systems track
Those aiming for roles like: SAP Solution Architect, Enterprise Engineer, AI/Automation Lead

Who this is not for

If you want “quick hacks” with no real projects
If you don’t want to write any code (light coding is required)

What you will build

PROJECT #1

AI Ticket Analyzer (Support Intelligence)

A service that ingests ticket exports (CSV/Jira/ServiceNow dumps), classifies issues, finds recurring clusters, suggests likely root causes and next actions, and speeds up triage.

→ SKILLS GAINED

Data modeling, prompt engineering, evaluation, retrieval, dashboards, operational metrics.

PROJECT #2

SAP Data Pipeline (MDG/S4/Interfaces)

An end-to-end data flow: SAP extraction (OData/files) → validation and rules → enrichment → storage (Postgres) → reporting and alerts.

→ SKILLS GAINED

Integration patterns, data quality checks, schema design, automation, monitoring.

PROJECT #3

Knowledge Base + RAG for SAP Ops

A searchable internal knowledge base that turns docs, runbooks, tickets, mapping rules, and lessons learned into “answers with sources” for faster resolution.

→ SKILLS GAINED

Chunking, embeddings, retrieval quality, guardrails, governance, and maintainability.

What you’ll get

A structured, step-by-step curriculum (no fluff)
Weekly deliverables and checkpoints
Templates: runbooks, RCA format, metrics dashboards, architecture diagrams
A portfolio strategy: how to present work as an expert (MetalHatsCats as your hub)

Program structure (12 months)

Phase 1 — Foundations (Weeks 1–6)
System thinking, architecture basics, modern tooling, repo setup, baseline automation.

Phase 2 — Data & Integrations (Weeks 7–16)
SAP data extraction patterns, validation, DQ rules, pipelines, monitoring.

Phase 3 — AI for Operations (Weeks 17–28)
Ticket classification, clustering, evaluation, safe prompts, RAG basics.

Phase 4 — RAG + Knowledge Systems (Weeks 29–40)
Knowledge base design, retrieval quality, governance, “answers with sources”.

Phase 5 — Portfolio & Publishing (Weeks 41–52)
Hardening, docs, demos, case studies, publishing roadmap, personal brand.

What makes it different

Built for SAP reality: MDG/S4, interfaces, data quality, cutovers, AMS
Portfolio-first: you finish with real systems, not “tutorial projects”
AI used as an engineering tool, not as magic

Requirements

4–6 hours/week (minimum)
Willingness to code: Python + basic backend
GitHub account (portfolio)

FAQ

Do I need to be a developer already?: No, but you must be willing to write code and build. This is engineering-oriented.
Can I do it while working full-time in AMS?: Yes. The program is designed for steady weekly progress and reuse in your job.
What if I don’t have access to real SAP systems?: We use anonymized data samples and local pipelines; you can still build the full stack.

Take Action

Want the full program guide and project templates?

STEP 1Get the Program (PDF / Guide)
STEP 2Join the Waitlist / Get Updates

Get the PDF Guide Join Waitlist

Journey (12 Months)

PHASE 1Foundations (Weeks 1–6)

Goal: Set up your engineering baseline and “SAP + AI” operating model.

W1Program Setup & Workflow
W2-W3Modern Backend Basics (Python + FastAPI)
W4-W5Data Fundamentals for SAP Work
W6Packaging & Testing Baseline

PHASE 2Data & Integrations (Weeks 7–16)

Goal: Build SAP-oriented data extraction + validation + storage + monitoring.

W7-W10Extraction & DQ Rules
W11-W14Storage & Automation
W15-W16Observability & Dashboards

EXPLORE ALL MODULES

About the Author

Dzmitryi Kharlanau

SAP Transformation & AMS Lead (S/4HANA Logistics, MDG/MDM, Integrations, Operations)·EPAM Systems

Lead SAP transformations and AMS modernization across S/4HANA logistics (SD/O2C), MDG/MDM, integrations, and operations. Focus: outcomes over ticket volume, reliable releases, and AI/agentic workflows for triage, knowledge retrieval, and safe automation with approvals and audit.

SAPAMSS/4HANAMDGMDMLogisticsSDOrder-to-CashIntegrationIDocAPIsEvent-Driven ArchitectureMonitoringAutomationAI