Coursera

Navigate Dev Gates and Qualification

Coursera

Navigate Dev Gates and Qualification

Professionals in the Industry
Ritesh Vajariya

Instructors: Professionals in the Industry

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Mapping a new RF or analog process's development timeline to qualification gates, linking PDK readiness, device freeze, and reliability milestones

  • Evaluating qualification data—HTOL, EM, baseline yield, and split samples—against gate criteria to make a transfer decision

  • Analyzing process variability and robustness risks, then planning targeted experiments to close gaps before production

Details to know

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Recently updated!

October 2026

Assessments

4 assignments

Taught in English

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There are 3 modules in this course

Map technology-development phases to their readiness gates and the deliverables each gate depends on across a chip program timeline. Connect PDK readiness, device freeze, lithography reticle qualification, and reliability sampling to the gates they sit behind, then trace how a delayed deliverable moves through the dependency chain and use float to work out which gate dates move and which hold.

What's included

2 videos2 readings1 assignment

Evaluate qualification data—including reliability sampling and baseline/control splits—against predefined acceptance criteria to decide if a process is ready for transfer to high-volume manufacturing.

What's included

2 videos1 reading1 assignment

Analyze process robustness risks by identifying variability sources, scoring them on likelihood, impact and detection difficulty, and comparing those register priorities against process-log evidence before assigning an experiment. Scope DOE factors, levels and run order, apply randomization to break confounding with tool drift, and state what an experiment will not answer.

What's included

2 videos1 reading2 assignments

Instructors

Professionals in the Industry
Coursera
28 Courses2,515 learners

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