Courses & Programs
KaleidoForge courses are built for engineers, researchers, and teams who want more than theory. Each program blends essential concepts with real ML-to-hardware workflows, covering every step from model training to optimized edge deployment on FPGA and embedded platforms.
All courses include some level of FPGA interaction — from simple board demos to hands-on experiments — ensuring every participant gains real hardware intuition.
Program Tracks
You can follow a single track or combine them depending on your context.
Core Foundations
Foundational modules connecting ML concepts with real hardware constraints: memory, dataflow, and parallelism — before touching FPGA synthesis.
Entry level · FPGA demo intuition included
Request syllabusML-to-FPGA Essentials
Your first practical steps into ML-FPGA integration. Learn how a neural network becomes hardware and how compute blocks, DSPs, and on-chip memories shape performance.
Beginner · includes introductory board experiments
Request syllabusFull Pipeline Integration
End-to-end workflow: training → optimization → IP core → firmware → deployment. Ideal for teams aiming to understand the complete ML-hardware path.
Intermediate · reproducible FPGA deployments
Request syllabusAdvanced Optimization & Acceleration
Deep dive into performance-critical techniques: quantization, pruning, distillation, fusion, profiling, and hardware-aware benchmarking.
Advanced · includes hardware-ready demos
Request syllabusHands-On FPGA Lab (Cohort)
A fully guided, practice-first program. Real FPGA boards, experiments, debugging sessions, and direct mentoring.
Cohort-based · intensive board labs
Request cohort infoWhat's the Difference?
We offer two intensive 2-week programs with different goals:
2-Week Full Pipeline
Learn the full ML-to-hardware workflow. FPGA is the final deployment target, not the main learning tool.
- Training → optimization → IP core → firmware → deployment
- Structured, reproducible examples
- Methodology-focused
- FPGA: light usage (demo/deployment)
2-Week Guided Lab
A fully hands-on FPGA experience. The board is the primary learning environment.
- Board experiments & mini-projects
- Hardware debugging & troubleshooting
- Practice-first learning
- FPGA: heavy usage (daily experiments)
Format & Delivery
Programs offer a balance of clarity, hands-on practice, and real FPGA interaction. Every format includes hardware exposure.
- Live online sessions with Q&A
- Short 3-day modules (concepts, dataflow, optimization, ML-FPGA basics)
- 1-week hands-on workflow: training → optimization → FPGA deployment
- 2-week Full Pipeline: method-focused, light FPGA use
- 2-week Guided Lab: intensive FPGA practice
- Optional KalEdge Studio integration
- 4–6 week blended formats for universities and research labs
Who It’s For
KaleidoForge courses are ideal for engineers and researchers working on ML, embedded AI, or FPGA acceleration.
- Engineering teams bringing ML models to hardware or edge platforms
- Research labs in efficient AI or embedded systems
- R&D teams optimizing latency and power
- Engineers wanting to understand the ML-to-hardware journey
Enroll or Design a Custom Program
If you’d like to join a cohort or design a program aligned with your projects, reach out.
Share your context (academic/industry, team size, goals) and we’ll recommend the right structure.
Contact for syllabus & dates