
Build Production-Ready ML Systems
Master machine learning engineering through structured programs designed by practitioners. From foundational algorithms to scalable production systems.
ML Engineering Programs
Choose the learning path that matches your current experience and career objectives

ML Engineering Fundamentals
Establish a solid foundation in machine learning engineering with careful balance of theoretical understanding and practical implementation. Master Python patterns essential for ML workflows, core algorithms including regression and classification, and engineering practices like version control for models.
- Python programming for ML workflows
- Core algorithms and model selection
- Data pipeline construction techniques
- Debugging and optimization strategies

Advanced ML Systems Design
Transform your machine learning knowledge into production-ready systems focused on scalability and performance. Explore distributed computing with Apache Spark, containerization with Docker, and orchestration using Kubernetes for ML workloads. Build complete systems handling real-time predictions and batch processing.
- Distributed computing frameworks
- Container orchestration for ML
- Model versioning and A/B testing
- Privacy-preserving techniques

ML Engineering Professional Certificate
This comprehensive program prepares you for senior machine learning engineering roles through intensive curriculum combining deep technical expertise with practical industry experience. Master the complete ML engineering stack from data infrastructure through model deployment with cutting-edge tools.
- Complete ML engineering stack mastery
- Multiple domain rotations included
- Real industry partnership projects
- Career support and portfolio building
Why Choose Deep Mind
Our approach combines structured learning with practical application
Practitioner-Led
Learn from engineers actively working in ML production environments at Nordic tech companies
Real Projects
Work with authentic datasets and business problems from Finnish companies and public institutions
Modern Stack
Train on current tools and frameworks used in production ML systems today
Collaborative Learning
Participate in peer programming sessions and code reviews that mirror professional workflows
Structured for Working Professionals
Our programs accommodate busy schedules while maintaining rigorous standards. Access course materials anytime, participate in scheduled collaborative sessions, and receive personalized feedback on your projects. Each program includes dedicated office hours with instructors and peer study groups organized around your timezone.
- Flexible learning schedule with recorded sessions
- Weekly live coding workshops and Q&A sessions
- Personalized project feedback within 48 hours
Industry-Aligned Curriculum
Every module reflects current practices in ML engineering teams. You'll use the same tools, follow similar workflows, and tackle comparable challenges to those in production environments. Our curriculum adapts quarterly based on industry feedback and emerging technologies.
- Version control and collaborative development practices
- Model deployment and monitoring techniques
- Documentation and technical communication skills
Ready to Advance Your ML Career?
Connect with us to discuss which program aligns with your goals and experience level
Start Your Application Today
We review applications on a rolling basis and offer personalized guidance to help you select the right program. Our team responds to inquiries within one business day.
Common Questions
What background do I need for these programs?
For ML Engineering Fundamentals, you should have basic programming knowledge in any language and comfort with mathematical concepts like algebra and statistics. Advanced ML Systems Design requires completion of a fundamentals course or equivalent practical experience with machine learning algorithms. The Professional Certificate program expects solid ML engineering foundations and at least one year working with data science or software engineering projects.
How are the programs structured?
Each program combines recorded lectures, live coding sessions, hands-on laboratories, and project work. ML Engineering Fundamentals runs 12 weeks with approximately 10-12 hours weekly commitment. Advanced ML Systems Design spans 16 weeks requiring 12-15 hours per week. The Professional Certificate is a comprehensive 24-week program with 15-20 hours weekly including project rotations and career development activities. All programs include scheduled collaborative sessions with flexible recorded content access.
What happens after enrollment?
Within 48 hours of enrollment, you receive access to the learning platform with setup instructions for your development environment. The first week focuses on orientation, tool configuration, and establishing your learning baseline through diagnostic assessments. You'll be matched with a cohort starting within two weeks of your enrollment date. Throughout the program, you'll have regular check-ins with instructors, weekly collaborative sessions, and access to peer support channels.
What is your refund approach?
We offer a two-week evaluation period at the start of each program. If you determine within the first two weeks that the program doesn't meet your needs, we provide a full refund minus administrative processing fees. After the evaluation period, refunds are considered on a case-by-case basis for circumstances like medical emergencies or significant life events. We encourage prospective students to connect with our team before enrolling to ensure program alignment with your goals.
How do you handle participant information?
We maintain strict data protection practices aligned with European regulations. Your personal information is used solely for program administration, communication, and improving educational experiences. We never share participant data with third parties for marketing purposes. You have full rights to access, modify, or request deletion of your information at any time. Our learning platform uses secure, encrypted connections, and we conduct regular security audits. For detailed information, please review our privacy documentation.
Can I work while completing these programs?
Yes, our programs are designed for working professionals. The flexible schedule accommodates full-time employment, with most participants successfully balancing their job responsibilities and program requirements. Recorded content allows you to learn during hours that fit your schedule, while live sessions are offered at various times including evenings. We recommend planning for dedicated study blocks and communicating with your employer about your professional development commitment for optimal results.
Find Us in Helsinki
Kaivokatu 8, 00100 Helsinki, Finland
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Kaivokatu 8, 00100 Helsinki, Finland