Evening Course
Online
Ishur Pikuach Eligible
From Developer
to AI Engineer.
Most developers can prompt an LLM.
Few can ship one – design it, evaluate it, secure it, deploy it.
The market isn’t asking who can use AI anymore. It’s asking who can engineer it. That’s the role that’s opening up – and it’s the one you grow into here.
The course starts
August 24.
Spots are limited.
Saving a spot only – nothing to commit to. We’ll reach out with the details.
Trusted by the teams behind
THE REAL PROBLEM
Every developer now has AI in their editor.
Far fewer can build
the AI system itself.
Calling an API is easy. Retrieval that’s actually accurate, agents that don’t go off the rails, evals that prove the thing works, and a deployment that survives real traffic and real cost – that’s the gap between using AI and engineering with it.
That’s not hype. It’s a skill set –
and it’s learnable, in the Python
you already write.
THE COURSE
Develeap AI Evening Course
● Online
● 15 Weeks
● Starts August 24
WHAT IS THIS?
A Full-Cycle Build Program
Not a workshop. Not isolated lessons. A structured 15-week process that takes you from problem definition to a deployed, production-ready product.
WHO IS IT FOR?
Engineers Going Full-Stack with AI
Engineers, developers, and tech leads with 2+ years of experience who want to stop experimenting and start shipping production-grade AI.
2+ YEARS ENGINEERING EXPERIENCE
WHAT MAKES IT SERIOUS?
A Deployed Product. Not a Certificate.
The graduation requirement is a live, deployed product that actually runs – built around a problem that matters to you, at a standard you’d stand behind.
REAL PRODUCT OUTCOME
THE CURRICULUM
7 Modules. 120 Hours. One Career.
From LLM fundamentals to production deployment – the full path, taught by the team that runs cloud infrastructure for a living.
FOUNDATION
31 hours
M1
13h
LLM Fundamentals & APIs
APIs, structured output, model selection. The starting point for every path.
M2
8h
Context Engineering
System prompts, MCP, prompt testing pipelines.
M3
8h
Python for AI Engineering
Pydantic, async, Pandas, SQL for AI workflows.
CORE BUILD
38 hours
M4
20h
RAG End-to-End
Vector DBs, hybrid search, ingestion, evaluation.
★ MOST IN-DEMAND
M5
18h
Agentic AI & Orchestration
LangGraph, CrewAI, MCP, multi-agent systems.
PRODUCTION
36 hours
M6
16h
Eval, Security & Models
EDD, LangSmith, AI security, fine-tuning.
M7
20h
Production & Deployment
Docker, AWS Bedrock, CI/CD, monitoring.
★ OUR DIFFERENTIATOR
CAPSTONE
15 hours
FINAL
15h
Portfolio-Ready Capstone
A real problem from your work, scoped, built, evaluated, and deployed. Used by at least one real person.
WHAT YOU’LL OWN
Six skills you graduate with.
Production-grade abilities that show up on every AI job description.
①
CORE BUILD
Build production RAG
Hybrid search, ingestion pipelines, eval suites, monitoring.
②
CORE BUILD
Ship agentic systems
LangGraph, MCP, multi-agent orchestration, agent testing.
③
DEPLOY
Deploy to AWS
Bedrock, containers, CI/CD, cost management, observability.
④
QUALITY
Evaluate AI rigorously
EDD, automated quality gates, regression testing.
⑤
SECURITY
Secure AI applications
Prompt injection defense, data leakage, agent permissions.
⑥
STRATEGY
Choose the right model
Commercial vs open-weight. Cost, quality, latency trade-offs.
TO BE CLEAR
What's NOT in scope.
✕
Heavy math / statistics
✕
Classical ML algorithms & theory
✕
Full MLOps (distributed training)
✕
Data engineering pipelines
✕
Model training from scratch
We chose depth over breadth.
COURSE STRUCTURE
Structured to fit your life.
Serious enough to change it.
Start Date
August 24, 2026
Duration
15 weeks
Modules
15 sessions
once a week
Session Length
3 hours per session
Format
Online, live
Practice Hours
80 hands-on hours with EMMA
80 hours of guided practice means you’re not just watching – you’re building, testing, and iterating throughout the course using EMMA, Develeap’s purpose-built AI tool designed to support your learning at every stage.
Built for working developers.
Not for beginners.
You’re a fit if you have:
2+ years of professional development
You’ve shipped production code, not just side projects.
Python you already write
Every module is built in Python – the AI-specific parts are what we teach.
Comfort with APIs
REST APIs and Git. The fundamentals are second nature.
Basic Linux, Docker, cloud
You know your way around a terminal and a cloud console.
Willingness to commit
~6 hours per week for the cohort length. Serious commitment, serious outcome.
2+ years engineering experience required. A live, deployed product is the graduation requirement.
EVERYTHING YOU NEED
Know before you commit.
Everything you need to decide – in one place.
BUILT BY DEVELEAP
Over a decade of technical training.
Develeap is Israel’s largest DevOps and cloud education company. Our graduates build in production. Our instructors still do too.
①
Government-recognized & funded
Ishur Pikuah (אישור פיקוח) from the Ministry of Labor. Eligible for government and partner financing programs.
②
Taught by practitioners
Senior DevOps and AI engineers running production at monday.com, Check Point, JFrog, CyberArk, Amdocs.
③
AWS Advanced Tier Partner
Students learn on the same cloud stack used by hundreds of Israeli tech companies.
④
Production is the spine
Security, cost, reliability – threaded into every build module from the moment you touch infrastructure.
What experience do I need?
2+ years of engineering experience and comfort with code, terminals, and shipping software. The course adds production-grade AI to that foundation.
How many hours of self-study?
Approximately 10–15 hours per week outside class time on exercises and assignments.
Is there a certificate?
Yes. Develeap graduate certificate (AWS Premier Partner) + Ministry of Labor (Misrad HaAvoda) certificate upon completing all lessons and exams.
What format are the classes in?
Fully online via Zoom. All classes are recorded so you can revisit them anytime.
THE LEARNING EXPERIENCE
What you get
✓
15 evening sessions on Zoom, once a week
✓
Pre-course preparation bootcamp (self-paced)
✓
Expert talks from senior Develeap AI engineers
✓
Hands-on portfolio project with personalized feedback
✓
Full access to all Bootcamp learning materials
✓
Reference docs and bonus tooling guides
YOUR CAREER LAUNCH
We help you land
✓
Interview simulation, tips & guidance
✓
Interview days + dedicated job-prep sessions
✓
Resume writing & editing workshop
✓
24/7 support from Develeap AI team on Slack
✓
Develeap + Ministry of Labor certificate
✓
Access to the AI Alumni Community on Slack
FINTECH · SUPPORT AUTOMATION
RAG over 50K documents for a fintech support team
Support team spent 4+ hours/day searching internal docs. We built a production RAG pipeline over 50K documents using hybrid search and pgvector. Now handles 80% of queries automatically.
RAG
PGVECTOR
BEDROCK
→ 80% query automation · 4h/day saved
SAAS · WORKFLOW AUTOMATION
Multi-agent orchestration for SaaS onboarding
Complex multi-step onboarding required decisions across 6 internal systems. We built a LangGraph multi-agent system with human-in-the-loop checkpoints.
LANGGRAPH
MCP
AWS LAMBDA
→ 60% faster onboarding · 3 FTE hours saved/customer
Three ways to use the skills.
Advance within your company
Lead AI projects inside your company – and become the person people turn to when a model has to reach production.
Launch your own product
You have the idea. Now you’ll have the skills to ship a real AI product – not a prototype.
Consult or freelance
Turn your expertise into a business. Charge for the depth most consultants can’t offer.
WHAT GRADUATES EARN
Israeli market – 2025/26.
AI Engineer
25K – 55K+
GenAI Developer
22K – 50K+
LLM Specialist
28K – 55K+
AI Backend Engineer
25K – 52K+
AI App Developer
22K – 48K+
AI Solution Architect
35K – 65K+
NIS / month · PayScale, HackerU, Mojob.
BUILT BY DEVELEAP
Over a decade of technical training. This is what we do.
Develeap is Israel’s largest DevOps and cloud education company. Our graduates build in production. Our instructors still do too.
FOR ENGINEERING TEAMS
Bringing AI engineering to your team?
We sell individual modules – RAG, Agentic AI, AI Security, Production-Ready AI – as workshops for engineering teams. Custom pacing, on-site or remote.
Modular – pick what your team needs
On-site or remote · Custom pacing · Delivered to your engineering team
