Investment in Algorithmic Thinking
Our pricing reflects the depth of curriculum and individual attention you'll receive. Each track builds computational problem-solving skills through structured progression.
Programs beginning September 2025 are now open for enrollment. We've designed three tracks based on your current experience and learning goals.
Why Our Approach Costs What It Does
People ask us why algorithm education needs this level of investment. The short answer? Because shortcuts don't work here.
We've tried compressed formats. They fail. What looks like savings upfront becomes frustration later when concepts don't stick. Our timeline reflects how long it actually takes for pattern recognition to develop in your brain.
How Learning Actually Unfolds
This isn't a quick course. Algorithm mastery develops in stages, and we've structured tracks around realistic cognitive progression.
Pattern Recognition Phase
You'll feel overwhelmed. Everyone does. During month one, we introduce foundational patterns through repetition. Not because you're slow, but because neural pathways need time to form.
Students typically struggle most with recursion here. We allocate extra sessions specifically for that mental model because rushing through it sabotages everything later.
Application Development
Around week seven, something clicks. You start seeing solutions before we explain them. This phase focuses on applying patterns to new contexts.
We introduce time complexity analysis gradually because understanding Big O notation requires comfort with the patterns first. Trying to learn both simultaneously just creates confusion.
Optimization Thinking
Now you're not just solving problems—you're evaluating tradeoffs. Space versus time. Readability versus performance. These judgment calls separate adequate solutions from elegant ones.
Professional Track students reach this stage. Foundation Track students get introduced to these concepts but need additional study to internalize them fully.
Advanced Synthesis
Mastery Track territory. You're combining multiple algorithms, designing custom data structures, and making architectural decisions. This level requires mentorship, not just instruction.
Only about thirty percent of students need this depth for their career goals. But for those building computational systems or pursuing research work, it's essential.
Select Your Learning Track
We've structured pricing around actual program costs and cohort sizes. No hidden fees or surprise charges. What you see reflects instructor hours, platform access, and resource development.
Foundation Track
- Core algorithm patterns and basic data structures
- Twenty-four live instruction hours with Q&A
- Weekly problem sets with automated testing
- Access to recorded sessions for six months
- Online discussion forum with instructor responses
- Certificate upon completion of coursework
Professional Track
- Everything in Foundation plus advanced patterns
- Forty-eight live instruction hours including code review
- Bi-weekly one-on-one debugging sessions
- Algorithm optimization workshops
- Technical interview preparation modules
- Lifetime access to course materials and updates
- Alumni network access in Taipei tech community
Mastery Track
- Complete Professional Track content plus specialization
- Seventy-two live hours with advanced topics
- Weekly individual mentorship sessions
- Custom data structure design project
- Algorithm research paper guidance
- Portfolio development assistance
- Priority enrollment in advanced workshops
- Career transition support for six months post-completion
What Previous Students Say About Value
Stellan Bjornstad
Professional Track Graduate, 2024
"I compared five programs before choosing EvolvBeam. Others were cheaper but offered half the instructor contact hours. The weekly debugging sessions alone justified the price—having someone walk through my exact confusion instead of generic examples made the difference between struggling and understanding."
Freya Lindqvist
Mastery Track Graduate, 2024
"The Mastery Track felt expensive initially. But when I calculated cost per actual learning hour versus self-study time I was wasting, it made sense. The mentorship prevented me from spending weeks going down wrong paths. Three months after graduating, I'm designing systems I couldn't have conceptualized before."