This course provides you with the essential skills to effectively test, optimize, and deploy Angular applications. You will begin by mastering Angular’s testing ecosystem, setting up tools like Jasmine, Karma, and learning how to write robust test cases.
Next, you will explore strategies for optimizing and deploying applications across various environments, while also discovering how to automate your testing and deployment processes through CI/CD pipelines. The course concludes with a focus on real-time monitoring and maintaining production-ready Angular applications.
By the end of this course, you will be able to:
- Set up advanced Angular testing tools such as Jasmine and Karma for comprehensive test case development.
- Write robust unit and integration tests to ensure application reliability and stability.
- Optimize Angular applications for performance and deploy them across different cloud or on-premises environments.
- Automate build, test, and deployment processes using state-of-the-art CI/CD pipelines.
- Utilize tools and strategies for application monitoring, error tracking, and maintaining highly available, production-ready applications.
This course is ideal for front-end developers, web developers, and software engineers focused on building scalable, high-performance web applications, especially professionals looking to deepen their knowledge of Angular testing, deployment, and application lifecycle management.
A basic understanding of Angular and JavaScript is recommended. Prior knowledge of version control and software testing concepts is helpful but not mandatory.
Join this course to become proficient in ensuring that your Angular applications are thoroughly tested, seamlessly deployed, and robustly maintained for enterprise-level reliability and performance.
Some points apply to every course of this kind; see how we rank.
Edureka is in Tier 4: commercial training companies and platform-made courses of our institution ranking (56/100).
Instructor: Dennis Freeman, Kendra Pugh This course provides an integrated introduction to electrical engineering and computer science, including modern software engineering, linear systems analysis, electronic circuits, and decision-making. The lecture videos provide an overview of each topic, whi…
Harvard University · edX
Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.
Harvard University · edX
Learn the concepts and techniques that make up the foundation of data science and machine learning.
Harvard University · edX
An introduction to the intellectual enterprises of computer science and the art of programming.
Harvard University · edX
Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.
Harvard University · edX
An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more.
