Technical Training
A defined technical objective, bounded curriculum, and clear learning outcome.
Example“Help me understand TFLite Micro deployment, tensor-arena sizing, and runtime integration.”
Available by Request · 1:1 Guidance
Guidance that builds independence.
Focused technical training and mentorship for experienced embedded engineers developing practical EdgeAI capability, architecture judgment, and confidence to solve increasingly difficult problems independently.
01
Embedded Foundation
Firmware · RTOS · Debugging
02
EdgeAI Capability
DSP · TinyML · Runtime
03
Architecture Judgment
Tradeoffs · Validation · Lifecycle
04
Independent Capability
Reason · Decide · Lead
Focused feedback
Architecture review
Capability roadmap
Training provides structure. Mentorship adapts the path.
Training is not mentorship
Choose the kind of guidance the problem actually needs.
Mentorship
Adaptive guidance over time, shaped by the engineer's current capability, projects, and longer-term direction.
Example“Help me grow from senior embedded implementation into Embedded EdgeAI architecture.”
Who it is being built for
Experienced engineers building the next layer of capability.
The starting assumption is embedded-systems experience. Edge2XAI is not intended as an introductory programming or generic machine-learning curriculum.
Embedded & Firmware Engineers
Adding DSP, TinyML, inference runtimes, and model-aware system thinking to an existing embedded foundation.
Senior Engineers & Technical Leads
Moving from component implementation toward whole-system Embedded EdgeAI architecture and technical decision-making.
Small Engineering Groups
Teams that may eventually benefit from focused workshops or guided learning around a defined EdgeAI topic.
How guidance will grow
Books first. Proven code next. Courses, then group training.
Edge2XAI is being built in sequence, so group training rests on material that already exists and has been tested. This is the direction, not a list of programs available today.
A series of books around Embedded EdgeAI: architecture, DSP, runtime, debugging, and lifecycle.
Reference implementations and projects with working, verified code that the books and courses build on.
Video, labs, and hardware guidance packaged around the books and reference code.
Structured sessions for small groups and teams, grounded in the courses and reference projects.
Available by request
Right now: 1:1 guidance, customized to you.
Start a conversation
If you have a specific problem, project, or capability goal, it starts as a conversation. Nothing here is a fixed program, so the guidance is shaped around your background and what you need to solve.
Technical mentorship
From “how does this work?” to “why should I architect it this way?”
Looking for a review of a specific system or decision? That is Selective Advisory. Mentorship grows the engineer over time.
Technical mentorship is intended to develop engineering judgment, not provide an outsourced implementation service. Topics can grow from the same DSP ↔ ML ↔ Runtime ↔ System Architecture foundation used throughout Edge2XAI Knowledge.
Career & capability mentorship
Build demonstrable capability, not just collect topics.
This path is intended for experienced embedded engineers deciding what to learn, what to build, and how to demonstrate growth toward Embedded EdgeAI or architecture-oriented roles.
Mentorship can support preparation and capability development; it does not imply job placement or guaranteed career outcomes.
Example journeys
Guidance should start from where the engineer already is.
Embedded → EdgeAI
Firmware / RTOS experience → DSP fundamentals → model/runtime integration → quantization → validation → complete system reasoning.
Implementation → Architecture
Feature ownership → subsystem contracts → resource budgets → tradeoffs → observability → lifecycle → architecture reviews.
Book → Build → Guidance
Self-study → packaged course → labs/reference Git → focused questions → mentorship only where personalized feedback adds value.
The intended outcome
Increasing independence.
The purpose of guided learning is not to create ongoing dependence on Edge2XAI. Good training and mentorship should leave the engineer better able to reason, debug, make tradeoffs, and continue learning independently.
Availability
Introduced in sequence, with 1:1 time intentionally limited.
Books and proven code are the foundation. Courses and group training follow as that material matures. One-to-one guidance is available by request while time permits.