The focus of the courses in this Certificate are the principle elements of current and emerging advanced software engineering that address the full life cycle of software development (e.g., requirements, analysis & design, strategy & planning, component-based architecture, configuration management & integration, group dynamics, testing, verification & validation, full stack programming, Agile, Scrum, DevOps, design thinking, leveraging AI) and the management, governance, and organizational considerations for successful deployment.

After successful completion of this program, candidates will also receive ICCP Certification!!!

The World Economic Forum estimates that over 130 million jobs will be created globally in new professions, where demand for data scientists, software engineers and a myriad of roles requiring digital skills are growing rapidly. In addition, successful managers and leaders increasingly require a strong working knowledge of digital technologies, as well as 21st century leadership skills including the ability to be adaptable, innovative and creative.

This certificate offers what candidates need to know to understand fail-safe computer systems, both rapidly and prudently. The Software Engineering Certificate provides a foundation in technical concepts and design techniques, as well as management, organizational, governance, and teamwork approaches, for building software systems. The emphasis of this certificate is on implementing software engineering projects within cost and schedule by applying the most current proven and innovative practices that overcome the shortcomings of an undisciplined approach.  The implications of AI on SW engineering will be covered as a fundamental topic throughout all of the courrses.   

The software industry is under intense pressure to deliver quality software. Because software production remains a labor intensive activity, the demand for large volumes of high quality software translates into a strong demand for qualified software engineers. This certificate is comprised of an appropriate balance of theoretical computer science foundations and IT management considerations that afford candidates with the means to remain abreast of developments in software engineering in the long term and practical applications that afford graduates the means to be operational in the short term. 

 Building on the lessons learned from the past is fundamental.   Managers and software professionals who enroll in this certificate will become authorities on quantitative, rather than qualitative problem-solving methods, while learning to deal with a broad spectrum of enterprises—from small-scale to large complex projects.

Select at least 4 courses from the following:

(All courses are available live/synchronously face-to-face & online)

Prerequisites: Programming experience with Python, Java.

1.   Analysis & Development of IS Services/Applications

This course presents and analyzes various approaches to information analysis and development of organizational information systems within a system development life cycle (SDLC), e.g. the waterfall, concentric, agile, Scrum, and prototyping approaches. Topics include strategic planning for SDLC, front-end and back-end phases of SDLC, project management, CASE methodologies, agile, development, Scrum, and balancing user, organizational, and technical considerations.

2.   Integrating IT Services

This course focuses on ways of designing an integrated enterprise architecture. The course explains the different forms of corporate information systems and their interaction. Mainframe systems and Cloud will be the focus of the architecture. While in the past, mainframe systems were often self-contained, in current systems, it is more likely that such systems are part of an overall architecture including many smaller hardware devices and operating systems. The participant will learn about the building blocks of current enterprise architectures, and then will learn how to connect them to solve the problems of large companies.

3.   Fundamentals of SW Engineering

Introduces software engineering from a quantitative—analytic and metrics-based—point of view. Become acquainted with software life-cycle process models (e.g., SDLC, agile, Scrum) from those demanded by very large projects, to the lightest in extreme programming. Skillfully apply industry-standard software engineering tools. Engage creatively in teamwork, project planning, and object-oriented analysis and design. Probe case histories in project-oriented scenarios.

4.   SW Estimation & Measurement

The purpose of this course is to prepare participants with the essential considerations for software estimation and measurement. The focus is on applying proven methods, tools, techniques and models that have been shown to demonstrate value to the software estimation and measurement process to both IT and non-IT stakeholders. The important techniques such as analogy, top-down, bottom-up, and expert judgment will be covered. The use of models for developing estimates, performing “what-if” analysis, bounding risks, and conducting a variety of trade studies will also be highlighted, as will the metrics that can be used to pinpoint status and assess progress. The course uses a variety of examples, case studies, and hands-on exercises to develop estimating skills, knowledge and abilities, including the use of actual cost model cases developed using the public domain COCOMO II model, to highlight their use and value to the developer. Participants will leave the course fully prepared to develop or validate a software estimate, assess their status, and progress and predict whether or not they will be delivered on-time and on budget, as well as meet the project functional requirements.

5.   SW Requirements Analysis

One of the least understood and most difficult phases in software development, requirements acquisition is an especially high hurdle because stakeholders are often unclear about objectives. Learn how to identify stakeholders and how to elicit and verify their requirements for new or extended software products. Introduces analysis and modeling as the first steps in software design. Receive a though understanding of quality assurance. A case-history and project-oriented course, exploiting industry-standard software tools.

6.   SW Testing and Quality Assurance

Effective software testing is the hallmark of trustworthy software systems. In this course, participants learn about the various modes of testing needed for quality software systems. Get an intensive look at real-world software testing coupled with a liberal number of case histories. Build a library of test cases using call setup, clearing, restart, and reset state diagrams. Learn to appreciate boundary conditions in structural and functional testing. Test two sorting routines to determine if boundary conditions and performance requirements are met. Build test cases with orthogonal array tables. Explore alternative test approaches, such as negative testing and risk-based testing, to certify software reliability.

7.   Engineering Applications for the Cloud

This course introduces the concepts that are the fundamental properties of applications in the cloud including “autonomy”, “elasticity”, and “statelessness”. It also presents proven guidelines for how to build new components and how to integrate existing applications to leverage the new opportunities provided by Cloud.

After completing this course, participants will understand how to address the major challenges to build scalable and highly available applications in the cloud. They will learn how to achieve scalability based on coupling the components of an application in a “loose manner”, including the major technological underpinning to achieve loose coupling, message queuing. It became clear that avoiding keeping state within components is another key contributor to scalability and high availability. This implies to exchange state within messages. Workload management and watchdog techniques are understood as important for elasticity. The course focuses on the set of best practices to attain significant value from Cloud applications.

Agile & DevOps courses are available at both an introductory and advanced levels