Local instructor-led live Authorized Azure training courses in Boston.
MA, Boston - Federal Street
101 Federal Street Suite 1900, Boston, united states, 02110
The office in Boston's Federal Street is a recently renovated office complex set in the heart of the financial distric...
The office in Boston's Federal Street is a recently renovated office complex set in the heart of the financial district, just one block from Congress Street. Based on the 16th and 19th floors, the office offers spectacular views of the city. Finance and tourism are some of the prime businesses in the state capital, which is the largest city in New England. With its many colleges and universities, Boston is also regarded an international center of higher education, with students contributing more than $4billion to the economy annually. It has a strong reputation for medicine, biotechnology and research. It is ranked in the top 20 of global financial centers and number one for innovation. Boston also has an historic seaport which supports tourism, industry and fishing.
AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. The course will use C# or Python as the programming language.
Audience Profile
Software engineers concerned with building, managing and deploying AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. They are familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and conversational AI solutions on Azure.
This course provides the knowledge and skills to design and implement DevOps processes and practices. Students will learn how to plan for DevOps, use source control, scale Git for an enterprise, consolidate artifacts, design a dependency management strategy, manage secrets, implement continuous integration, implement a container build strategy, design a release strategy, set up a release management workflow, implement a deployment pattern, and optimize feedback mechanisms.
Audience profile
Students in this course are interested in designing and implementing DevOps processes or in passing the Microsoft Azure DevOps Solutions certification exam.
Job role: DevOps Engineer
Preparation for exam: AZ-400
Skills gained
Plan for the transformation with shared goals and timelines
Select a project and identify project metrics and Key Performance Indicators (KPI's)
Create a team and agile organizational structure
Design a tool integration strategy
Design a license management strategy (e.g. Azure DevOps and GitHub users)
Design a strategy for end-to-end traceability from work items to working software
Design an authentication and access strategy
Design a strategy for integrating on-premises and cloud resources
Describe the benefits of using Source Control
Describe Azure Repos and GitHub
Migrate from TFVC to Git
Manage code quality including technical debt SonarCloud, and other tooling solutions
Build organizational knowledge on code quality
Explain how to structure Git repos
Describe Git branching workflows
Leverage pull requests for collaboration and code reviews
Leverage Git hooks for automation
Use Git to foster inner source across the organization
Explain the role of Azure Pipelines and its components
Configure Agents for use in Azure Pipelines
Explain why continuous integration matters
Implement continuous integration using Azure Pipelines
Define Site Reliability Engineering
Design processes to measure end-user satisfaction and analyze user feedback
Design processes to automate application analytics
Manage alerts and reduce meaningless and non-actionable alerts
Carry out blameless retrospectives and create a just culture
Define an infrastructure and configuration strategy and appropriate toolset for a release pipeline and application infrastructure
Implement compliance and security in your application infrastructure
Describe the potential challenges with integrating open-source software
Inspect open-source software packages for security and license compliance
Manage organizational security and compliance policies
Integrate license and vulnerability scans into build and deployment pipelines
Configure build pipelines to access package security and license ratings
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