The Introduction to Automated Analysis Online Course is an intermediate level course and third course out of the four-course series, Software Testing and Automation Specialization. The 100% online course available on the Coursera platform introduces learners to state-of-the-art systems and techniques for automated analysis.
The Introduction to Automated Analysis Certification Course helps learners in understanding the approaches of automated analysis in generating tests and checking for defects in the software that could lead to security issues. The course is taught by Mike and Kevin Wendt, Department of Computer Science and Engineering from The University of Minnesota.
The Introduction to Automated Analysis Live Course is delivered through expert video lectures, academic readings and practice exercises. The course can be set to flexible deadlines according to the learner's schedule. After completion of the course, you will gain a shareable certificate of completion.
The Introduction to Automated Analysis Course fee provides learners with two choices wherein there is an option to audit the course for free by getting access to course materials. You can take a 7-day free trial before paying the course fee.
Introduction to Automated Analysis Certification Fee Structure
Particulars
Fee Amount in INR
Introduction to Automated Analysis - Audit course
Free
Introduction to Automated Analysis - 1 month
Rs.3,990/-
Introduction to Automated Analysis - 3 months
Rs.7,980/-
Introduction to Automated Analysis - 6 months
Rs.11,970/-
Eligibility Criteria
Candidates are required to be familiar with the software development Life-Cycle, fundamentals of software testing, testing terminology, and practice.
Candidates are also expected to have familiarity with an object-oriented language like Java or the ability to learn how to write and modify code of Java syntax quickly and the willingness to use tools and IDEs.
What you will learn
Programming skillsSoftware development skillsAutomation skills
After completing Introduction to Automated Analysis Classes, you will learn about the following topics: