Develeap Education
Train. Adopt. Accelerate.
400+
CAREERS
LAUNCHED
120+
CERTIFIED
EXPERTS
500+
SATISFIED
CUSTOMERS
10+
YEARS IN
PRODUCTION
Your AI-Native Training Catalog. Powered by Develeap’s 10+ years of
production excellence — from individual contributor up to industry-vertical programs.
THE PROBLEM
Your AI strategy should not stay in a slide deck.
The pilot phase is over.
THE GAP
The gap between AI enthusiasm and AI outcomes has never been wider, and the cost of that gap is measured in shipped features, engineer hours, and abandoned initiatives.
WHAT WINS
The organizations winning aren’t the ones with the most AI tools. They’re the ones that redesigned how they work — before they deployed those tools.
MEET OUR INSTRUCTORS
The people behind the training.
Develeap’s trainers are not educators who learned to code.
They are engineers who learned to teach.
✦ Senior-led. Always.
🛠 Production engineers first.
🎓 10+ Years DevOps DNA.
Megane Dreyfuss
Head of Education & Training
Owns the Develeap Education program end to end. Senior consultant on enterprise AI adoption.
Idan Korkidi
Bootcamp & Course Leader
Built the agentic curriculum. Production engineer first — teaches what he ships.
Carmit Shemesh Haas
DevOps Engineer
Operationalizes AI inside engineering orgs — from individual contributor to team-wide rollout.
Roey Wullman
DevOps Engineer
Multi-agent systems, MCP, and reliability. Curriculum lead for advanced workshops.
WHAT THE DATA SAYS
Everyone has an AI strategy. Few have AI in production.
01 · THE DISCONNECT
Adoption ≠ Production
84% of developers use AI daily. 42% of companies abandoned most AI initiatives in 2025. Most teams are stuck between experimentation and shipping.
02 · THE HIDDEN TAX
The 19% slowdown.
METR (2025): experienced devs using AI took 19% LONGER on familiar codebases — while believing they were 20% faster. Unstructured adoption creates invisible drag.
03 · THE DEVELEAP PATH
+3.6 hrs/week per dev.
Done right, AI saves 3.6 hours/week per dev. The 5% who succeed redesigned workflows BEFORE deploying tools. We take you there.
Everyone else teaches tools. We teach how to make what you build actually hold up in production. Security, cost, context engineering, deployment, persistence. That’s the Develeap moat, and the reason this course exists. +40% on targeted tasks, and the foundation for exponential gains.
FOUR LEVELS OF TRANSFORMATION
AI transforms at four levels. We cover all four.
Most training stops at the individual contributor. We map every workshop to the level it unlocks — so transformation actually sticks.
Individual
Engineers using AI as personal multiplier — coding companions, smart docs, code review assistance.
Workshops · 1-on-1 mentoring
Team
Shared standards, reusable Skills, versioned CLAUDE.md, agentic patterns under team control.
Team workshops · co-build playbooks
Organization
Cross-team alignment, governance, security & cost discipline, AI as operational backbone.
Audit · roadmap · org rollout
Industry
Vertical-specific programs — healthtech, finance, defense — with regulatory-ready guardrails.
Custom curriculum · advisory
WHERE TEAMS ACTUALLY ARE
Where are your teams today? We take you up the levels.
Most organizations don’t fail at AI because they lack ambition. They fail because they don’t know where they actually are. Our maturity framework gives you an honest baseline.
LEVEL 01
Task-by-Task Use
AI handed isolated jobs. Output reviewed line by line. Starting point for the Claude Code for Engineering Teams workshop.
LEVEL 02
Intentional Practice
Rules, skills, and agent configurations built on purpose. Reached via Agentic Coding Foundations (individual-level)
LEVEL 03
Collective AI Fluency
77% of engineers actively using AI, shared conventions, measurable team-wide gains. Reached via AI Native Dev Intensive.
LEVEL 04
Operationalized Agents
AI agents ship, run, and scale in production. DevOps discipline applied to AI. Reached via Agentic Orchestration Workshop.
LEVEL 05
Self-Running Factory
Specifications go in, working software comes out. Reached via DevOps in a One-Person Company workshop.
Develeap takes you from wherever you are, to Level 4 and beyond. Each workshop is mapped to the level it unlocks. Pick your starting point — we own the transition.
OUR METHODOLOGY
Analyze. Train. Automate. Accelerate.
From gap analysis to operational mastery — a 4-step engagement model that doesn’t drop you after Day 3.
01
Analyze
Gap analysis, personalized roadmap. We map where your team is before we prescribe what to teach.
02
Train
Workshops tailored to your stack — hands-on, not theory. Every lab runs in your real environment.
03
Automate
Co-build playbooks on real use cases, on your actual code. Reusable Skills, MCP integrations, agentic workflows in production.
04
Accelerate
Follow-ups, unblocking, calibration. We stay with you through the operational transition.
WHAT YOU LEAVE WITH
Your teams leave with an operational playbook calibrated to their use cases — not just a certificate. Built on your code. Versioned. Reusable. Production-ready.
OUR APPROACH
We don't teach AI as a tool. We teach it as production-grade engineering practice.
Adoption ≠ Practice.
Right now every engineer is figuring it out alone through trial and error, with no shared standards. We move you from individual experimentation to coherent team practice with shared standards, reusable capabilities, and patterns you can trust with production work.
Aligned. Not just trained.
Workshops that train individuals are easy to find. Workshops that produce shared team artifacts — a versioned CLAUDE.md, reusable Skills, prompt patterns under version control — are rare. We build those artifacts with you, in the room.
In your stack. On your code.
Exercises happen in your real environment: your IDE, your repo, your stack. No sample apps, no toy projects. Just your code — so the skills transfer immediately on Day 1 back at work.
DevOps reliability lens.
Security, cost, observability, and reliability are threaded throughout every module — not bolted on at the end. Tool-agnostic concepts across Copilot, Cursor, and Mistral. Deepest coverage on Claude Code.
PRIMARY PLATFORM
Claude — Claude.ai + Claude Code
Chosen deliberately over alternatives for curriculum stability. Concepts work across Copilot, Cursor, and Mistral — but our deepest curriculum coverage runs on Claude.
CORE CONCEPTS
Skills · MCP · Terminal & CLI
Skills are the central reusable-capability unit — not tools, not prompts. MCP: use it, don’t build it. Terminal & CLI is a hard requirement — participants must be comfortable or willing to learn by Week 2.
MODULAR CATALOG
Modular. Mix-and-match. Pay only for what you book.
Our courses are built from teaching modules. Each module is 1 hour lecture + 3 hours hands-on training. Stack them, sequence them, customize them — as long as your team meets the prerequisites. Up to 10 participants per module. On-site or online.
⏱️ 1h Lecture
🛠️ 3h Hands-on
👥 ≤10 participants
📍 On-site or online
MODULE 01
Foundations
Token Economics & Model Routing
MODULE 02
Foundations
Prompt Patterns Under Version Control
MODULE 03
Engineering
Claude Code for Engineering Teams
MODULE 04
Engineering
Multi-Agent Orchestration
MODULE 05
Reliability
Sandboxing & Security
MODULE 06
Reliability
Production Observability for AI
MODULE 07
Reliability
Cost Discipline & FinOps for AI
MODULE 08
Engineering
MCP Integrations in Practice
MODULE 09
Engineering
Skills as Reusable Capabilities
MODULE 10
Engineering
TDD with Agents
MODULE 11
Foundations
Context Engineering at Scale
MODULE 12
Reliability
Agentic CI/CD Pipelines
MODULAR CATALOG
Pricing Modular. Progressive. No surprises.
Our pricing model is built on a simple principle: the more you invest in your team’s capability, the less you pay per module. There are no hidden setup fees, no licensing overhead, and no ambiguity about what’s included. Every price covers up to 10 participants, which means the per-seat cost drops dramatically as you scale the engagement.
INDIVIDUAL MODULE
10,000
₪ + VAT
9,000 ₪ + VAT – Online
per module · up to 10 participants
✓
1h lecture + 3h hands-on
✓
Senior trainer
✓
Materials & exercises included
✓
On-site or online
Full day
18,000
₪ + VAT
16,200 ₪ + VAT – Online
Full day = 2 modules (-10%)
✓
~ 16h hands-on across one full day
✓
Versioned artifacts you keep
✓
Pre-engagement scoping call
✓
Post-workshop calibration
4+ modules
30,600
₪ + VAT
27,540 ₪ + VAT – Online
4+ modules (-10% then -15%)
✓
Senior team on-site half-day
✓
Maturity assessment + roadmap
✓
Stakeholder readout
✓
Credited if you book 4+ modules
Prices excl. VAT · Up to 10 participants · Travel billed separately outside Tel Aviv · Proposal valid 21 days
Mix and match modules from the catalog. The more you book, the less you pay per module and the more cohesive your team’s capability becomes across disciplines
Pre-built workshop bundles for common needs Engineering Track.
For engineering teams shipping with AI.
Pre-built bundles for engineering orgs. Each is a sequenced 4-module workshop — calibrated, hands-on, with versioned artifacts you keep.
FOUNDATIONS
Level 1–2
Agentic Coding Foundations
For developers ready to master agentic fundamentals.
Tools, prompting, and autonomous workflows built from
the ground up. Every engineer leaves with a personal
capability baseline they can
build on.
Perfect for: any team running code in their IDE.
INTENSIVE
Level 2–3
Claude Code for Engineering Teams
Move from individual experimentation to coherent team
practice. CLAUDE.md as shared resource, Skills as
packaged team capabilities, draft team standards built
collaboratively, sandboxing, planner/executor/reviewer
pattern, prompt versioning in git.
Perfect for: any organization where Claude Code is the
official AI tool.
DEEP DIVE
Level 3
AI-Native Dev Intensive
Team levels up to Intentional Practice and Collective AI
Fluency together. From prompt fundamentals through
token economics, MCP integrations, and multi-agent
patterns – built as a cohesive 3-day arc.
Perfect for: any organization where Claude Code is the
official AI tool.
ADVANCED
Level 3–4
Agentic Orchestration Workshop
For teams ready to operationalize agents in production.
Supervisor/Workers patterns, multi-agent coordination,
agent governance, evaluation harnesses, observability
for agentic systems, cost engineering at scale. Reach
Level 4 – Operationalized Agents.
DevOps discipline applied to AI, end to end.
DevOps discipline applied to AI, end to end.
For everyone else who needs AI to land in production.
Tracks for non-engineering audiences and specialty contexts. Same Develeap rigor — calibrated to who’s in the room.
ONE-PERSON
DevOps in a One-Person Company
For solo founders and indie hackers running production systems alone. Reliability, security, and AI leverage — without an SRE team.
👥 Solo founders · indie hackers
À LA CARTE
DevOps à la Carte
Pick-and-choose modules across the DevOps stack — observability, IaC, CI/CD, FinOps. Custom curriculum tuned to your team’s gaps.
👥 Mid-sized engineering orgs
NON-TECH
AI for Non-Tech Teams
Marketing, ops, support, finance — teams using AI daily without writing code. Workflow design, prompt patterns, governance basics.
👥 Cross-functional teams
ACADEMIC
Academic AI Workshop
For universities and research groups: research-grade rigor, citation discipline, reproducibility, and AI-assisted scientific writing.
👥 Faculty · research labs
THE AGENTIC AUDIT
Find your gaps. Build your roadmap. Then train.
Off-the-shelf training rarely solves the right problem. Our senior team comes on-site for half a day, runs an honest maturity assessment, and leaves you with a roadmap. If you proceed with a 4+ module engagement, the audit fee is fully credited.
Maturity Assessment
Honest baseline across all 5 maturity levels — by team, role, and stack.
Customized Roadmap
Sequenced module recommendations calibrated to your gaps and timelines.
Stakeholder Readout
Slide-ready summary for leadership: where you are, what to invest in, why.
Pre-engagement Call
30-min senior consultant call before audit day — no junior intake handoff.
HOW IT WORKS
6 steps to get started.
From first call to first module — usually 3 weeks. No “strategic discovery” theater.
01
Discovery Call
02
Agentic Audit
03
Tailored Proposal
04
Pre-Workshop Survey
Calibrate labs to your codebase before Day 1. We collect repo samples, tooling details, and individual skill levels so the first hour is immediately relevant.
05
Delivery
On-site or online, in Hebrew, English, or French. Up to 10 participants per cohort. Production-grade labs, not slides.
Real code, real environments, real outcomes.
06
Post-Workshop Support
Deliverables including your versioned CLAUDE.md, reusable Skills, and standards document, plus 30 days of Slack support. We don’t drop you, we stay with you.
Take your team to the next level
Start with a 30-min Discovery Call.
No commitment. No "strategic vision deck." Just an honest conversation about where you are and whether we can help.
