This course covers the body of knowledge required forTOGAF® 9 certification. The course is focusedon delivering services and tooling in the areas of ITstrategy, enterprise architecture and businesschange. Successful delegates, after passing the independentexamination, may register with the Open Group ascertified TOGAF 9 Architects, becoming part of aselect international community. The course is aboutmore than just certification though and goes beyondsimply covering the body of knowledge in theTOGAF® manual.

This course is designed to enable candidates to develop the knowledge of the terminology and basic concepts of TOGAF® 9.2 and principles of Enterprise Architecture. Candidates will also be able to analyze and apply knowledge of TOGAF®.

This course module presents participants with a series of exercises and problems that are designed to test their ability to apply their knowledge of topics covered in previous courses. Completing this lab will help highlight areas that require further attention and will further prove hands-on proficiency in DevOps models, practices and strategies, as they are applied and combined to solve real-world problems.

This course delves into the application of DevOps practices and models by exploring how the DevOps lifecycle and its associated stages can be carried out and further identifying related challenges and considerations. In-depth coverage is provided for the application of Continuous Integration (CI) and Continuous Delivery (CD) approaches, along with an exploration of creating deployment pipelines and managing data flow, solution versions and tracking solution dependencies.

This course provides a comprehensive overview of DevOps practices, models and techniques, along with coverage of DevOps benefits, challenges and business and technology drivers. Also explained is how DevOps compares to traditional solution development and release approaches and how the application of DevOps can be monitored and measured for concrete business value.
 

Key Outcomes:
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This course module presents participants with a series of exercises and problems that are designed to test their ability to apply their knowledge of topics covered in previous courses. Completing this lab will help highlight areas that require
further attention and will further prove proficiency in machine learning systems and techniques, as they are applied and combined to solve real-world problems.

This course delves into the many algorithms, methods and models of contemporary machine learning practices to explore how a range of different business problems can be solved by utilizing and combining proven machine learning techniques.

Key Outcomes:
Students will be able to know:

This course provides an easy-to-understand overview of machine learning for anyone interested in how it works, what it can and cannot do and how it is commonly utilized in support of business goals. The course covers common algorithm types and further explains how machine learning systems work behind the scenes. The base course materials are accompanied with an informational supplement covering a range of common algorithms and practices.

Key Outcomes:
Students will be able to know:

Apa Itu Agile Manifesto?

Pernah mendengar istilah Agile Manifesto? Apa anda tahu, ternyata istilah ini muncul dari rasa frustasi sekelompok developer pada Waterfall Model. Ada apa, ya?