All learning paths
10 modules
11 hours

Chip Program Technical Lead

Architects, leads and engineering managers

Focus on requirements, cross-discipline handoffs, PPA evidence, risk, approvals and release governance.

PROFESSIONAL OUTCOME
Lead a traceable chip program from requirements to validated silicon.
RECOMMENDED SEQUENCE

Your curriculum

1
Architecture
50 min
Product Requirements and System Architecture

Translate a market problem into workloads, interfaces, PPA targets, safety requirements and an implementable chip architecture.

2
Architecture
60 min
ISA, Microarchitecture and Datapath Design

Move from architectural behavior to pipelines, execution units, control, hazards, caches and measurable performance.

3
System Integration
70 min
SoC Integration, Firmware and Emulation

Integrate processors, fabrics, peripherals, interrupts, address maps, boot firmware and hardware-assisted verification into a coherent SoC.

4
Specialties
75 min
Hardware Security, Safety and Assurance

Engineer trust boundaries, secure boot, key protection, fault response, side-channel resistance and safety evidence across the chip lifecycle.

5
Physical Design
65 min
Floorplanning, IO and Power Intent

Turn the logical hierarchy into die/core geometry, macro placement, IO organization, voltage areas and a feasible power-delivery plan.

6
System Integration
75 min
Packaging, Chiplets, SI/PI and Board Integration

Co-design die, package and board connectivity for power delivery, signal integrity, thermal performance, test and manufacturability.

7
Signoff
70 min
Physical Verification, Signoff and Tapeout

Prove geometric manufacturability, connectivity, timing, power integrity and release completeness before mask data handoff.

8
Manufacturing
65 min
Fabrication, Yield and Manufacturing Test

Understand wafer fabrication, process control, defect/yield economics, production test, characterization and quality feedback.

9
Validation
65 min
Post-Silicon Bring-up, Validation and Debug

Bring first silicon to life, characterize margins, diagnose failures and connect laboratory evidence back to design assumptions.

10
Operations
60 min
EDA Automation, AI and Engineering Governance

Build reproducible flows, use optimization and AI responsibly, track PPA regressions and retain evidence for human decisions.

How to use this path

Complete each practical exercise, save evidence from the linked platform tools, and use every module’s checklist for a peer review before advancing.