ML Engineering Professional
Transformacja kariery w Machine Learning Engineering. Specjalizacja Computer Vision lub NLP, deployment w produkcji, portfolio projektów, coaching kariery i gwarancja znalezienia pracy.
Dlaczego ML Engineering Professional?
To nie tylko kurs - to kompletna transformacja kariery. 24 tygodnie intensywnej nauki, praktyki i przygotowania do pracy jako senior ML engineer w najlepszych firmach technologicznych.
Production-ready skills
MLOps, Docker, Kubernetes, CI/CD, monitoring, A/B testing. Skills używane w Google, Netflix, Uber.
Specjalizacja branżowa
Wybierz Computer Vision lub NLP. Deep dive w wybranej domenie z real-world projektami i mentorem eksperta.
Career transformation
Dedykowany career coach, CV optimization, mock interviews, salary negotiation, job guarantee program.
Industry-grade methodology
Jedyny program w Polsce który symuluje rzeczywiste środowisko pracy ML engineera. Pracujesz w Agile teams, używasz enterprise tools, deployujesz na cloud, monitorujesz modele w produkcji i raportuj business impact.
Program highlights:
- Maksymalnie 6 osób w grupie
- Osobisty career coach przez 6 miesięcy
- Enterprise-grade infrastructure
Gwarancja rezultatu:
- Portfolio 8 production projektów
- Praca w 6 miesięcy lub zwrot pieniędzy
- Średnia podwyżka 120%
Jak przebiega transformacja?
24 tygodnie podzielonych na 6 intensive sprints. Każdy sprint symuluje real-world projekty, od requirements gathering do production deployment i business impact measurement.
Sprint 1: Foundation & Assessment
Skills assessment, gap analysis, personalized learning path. Advanced Python, ML engineering fundamentals, first deployment.
Sprint 2: Specialization Choice
Wybór Computer Vision lub NLP track. Advanced architectures, transfer learning, fine-tuning state-of-the-art models.
Sprint 3: MLOps & Scaling
Docker, Kubernetes, CI/CD pipelines, model versioning, A/B testing, monitoring, alerting systems.
Sprint 4: Real-world Projects
Industry partnerships. Solve real problems dla firm technologicznych. Full lifecycle od problem definition do ROI measurement.
Sprint 5: Portfolio & Branding
Personal branding, GitHub optimization, technical blog, conference talks, open source contributions.
Sprint 6: Job Hunting & Negotiation
Active job search, interview preparation, salary negotiation, offer evaluation, onboarding support.
Weekly intensity
- Technical workshops (3x 3h weekly)
- Project work & implementation
- 1-on-1 coaching sessions (1h weekly)
- Industry guest sessions & networking
Specialization tracks
Computer Vision Track
Object detection, segmentation, OCR, medical imaging, autonomous vehicles applications
NLP Track
LLM fine-tuning, conversational AI, document processing, sentiment analysis, search systems
🎯 Success tracking
Career transformation results
Po 24 tygodniach nie tylko będziesz ML engineerem - będziesz senior-level specialist z portfolio, network i job offer. Średnia podwyżka naszych absolwentów to 120%.
Foundation mastery
Production ML pipeline, first cloud deployment, monitoring setup, personal development plan.
Domain expertise
Specjalizacja CV/NLP, advanced models, 3 domain-specific projekty, technical leadership.
Industry readiness
Full-stack ML systems, business impact measurement, team collaboration, interview preparation.
Career success
Job offer secured, salary negotiated, onboarding support, alumni network access.
Proven transformation metrics
Portfolio po programie zawiera:
- 8 production-ready projektów ML
- End-to-end ML system z monitoringiem
- Open source contributions
- Technical blog z 5+ artykułami
- Conference talk lub webinar
Career coaching obejmuje:
- LinkedIn optimization & personal branding
- CV tailoring dla ML positions
- Mock interviews z real scenarios
- Salary negotiation strategies
- 6-month post-graduation support
Kto odniesie największy sukces?
Program dla ambitnych professionals, którzy są gotowi na 6-miesięczną intensive transformation. High commitment, high reward approach.
Ideal transformation candidates
Senior developers ready for ML pivot
5+ lat programming experience, strong Python, gotowość na career change. Current seniors chcący zostać ML leads.
Data Scientists seeking production skills
Znasz ML theory i experimentation, ale chcesz production deployment, scalability, MLOps expertise.
ML Engineers moving to senior roles
Junior/Mid level w ML, ale chcesz advancement do senior positions w top tier companies.
Ambitious career switchers
Technical background (engineering, physics, math), silna motywacja, commitment do intensive learning przez 6 miesięcy.
Success predictors & challenges
Challenge: "Mam technical skills, ale brak mi production ML experience"
Program focused na hands-on production experience z real-world constraints i business requirements.
Challenge: "Nie wiem jak konkurować z CS graduates za ML positions"
Portfolio-driven approach + industry connections + specialized skills beats pure academic credentials.
Challenge: "Chcę wysokie salary, ale nie wiem jak negocjować w ML"
Dedicated salary negotiation coaching + market data + leverage building strategies.
Challenge: "Obawiam się, że 6 miesięcy to za krótko na complete transformation"
Intensive approach works - with pre-existing technical foundation, focused learning and support.
⚡ Admission requirements
- 3+ years programming experience (Python preferred)
- Portfolio z min. 2 ML/data science projektami
- Commitment 30h/week przez 24 tygodnie
- Strong motivation dla career transformation
Enterprise-grade infrastructure
Pracujemy na enterprise-level infrastructure identical z tym, czego używają Meta, Google, Netflix. Full simulation of real working environment.
Production-ready stack
MLOps & Cloud Infrastructure
- • Kubernetes clusters - auto-scaling, monitoring
- • Docker containers - production deployment
- • AWS/GCP - enterprise accounts z credits
- • GitLab CI/CD - automated pipelines
ML Platform & Monitoring
- • MLflow - experiment tracking, model registry
- • Weights & Biases - advanced monitoring
- • Prometheus + Grafana - metrics & alerting
- • Kubeflow - ML workflows orchestration
Data & Feature Engineering
- • Apache Airflow - data pipeline orchestration
- • Feast - feature store management
- • DVC - data version control
- • Great Expectations - data quality testing
Advanced methodologies
🚀 Industry simulation approach
Każdy projekt symuluje real company environment: requirements gathering, stakeholder management, timeline pressure, budget constraints.
🔄 Agile ML development
2-week sprints, daily standups, retrospectives, technical debt management, code reviews, pair programming sessions.
📊 Business impact measurement
ROI calculation, A/B testing design, success metrics definition, stakeholder reporting, business case development.
⚡ Performance optimization
Model compression, inference optimization, edge deployment, cost optimization, scalability planning.
🎓 Industry partnerships
Współpracujemy z leading tech companies:
- Guest sessions z ML engineers z Google, Meta, Microsoft
- Real projects z polskich firm technologicznych
- Direct recruitment pipeline do partner companies
- Access do enterprise tools i infrastructures
- Alumni network w 50+ tech companies
Jak rozpocząć transformację?
Selective admission process. Tylko najbardziej motivated candidates. Następny cohort startuje 16 września 2025. Limited to 6 osób.
Rigorous selection process
Application & portfolio review
Detailed application form, GitHub portfolio analysis, technical background verification, motivation assessment.
Technical interview
90-minute session: coding challenge, ML concepts, system design basics, problem-solving approach analysis.
Commitment & culture interview
Career goals alignment, time commitment verification, team collaboration assessment, program expectations.
Pre-requisites verification
- Portfolio review: GitHub z 3+ ML projektami
- Technical assessment: Python, SQL, basic ML
- Availability verification: 30h/week capacity
- English proficiency: technical documentation reading
Investment & ROI
Full transformation package
- 24 tygodnie intensive training
- Personal career coach przez 6 miesięcy
- Job guarantee lub full refund
- Enterprise infrastructure access
ROI calculation
💼 Job guarantee details
Jeśli nie znajdziesz pracy ML Engineer w ciągu 6 miesięcy po ukończeniu, zwracamy 100% opłaty.
Upcoming cohorts
Transform your career. Guarantee your success.
6 miejsc pozostało w kohorcie wrześniowej. Najbardziej selective i effective ML program w Polsce. Average starting salary: 18.5k PLN.
Admission deadline: 5 września 2025 • Program start: 16 września
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