Microsoft Azure AI Engineer Associate Program
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Program
Microsoft Azure AI Engineer Associate Program
Develop the sought-after skills required to excel in the exciting world of cloud computing and AI.
Prepare for taking your certification exams with the benefit of assisted mentoring.
This program is sponsored by Pacific Lutheran University in collaboration with SkillUp Online.
Online Live Classes
Mentored
Intermediate
The world is powering up to leverage cloud computing and AI to improve customer service, reduce costs, and speed up decision making. As a result, organizations are hunting for engineers with the relevant skills so they too can join the race. Theyre seeking individuals who can analyze AI requirements, recommend the best technologies, and design and implement scalable solutions. Put simply, Azure AI engineers are in demand.
In this program you will learn how to analyze requirements for AI solutions and recommend appropriate tools and technologies. You will discover how to design and implement AI solutions that meet scalability and performance requirements. Plus, you will learn and experience designing and implementing AI apps and agents that use Microsoft Azure Cognitive Services, Azure Bot Service, Azure Cognitive Speech, and data storage in Azure.
In addition, you will build competence in recommending solutions that use open source technologies. You will explore the components that make up the Azure AI portfolio and the available data storage options. You will come to understand when a custom API should be developed to meet specific requirements. Plus, you will also get a more detailed overview of the Microsoft certification program.
For individuals keen to develop a career in AI, this program will provide you with the skills and knowlege you need to excel. Plus, it will prepare you for taking the certification exams if you wish to pursue that route in the future.
This program comprises three purposely designed courses that take you on a carefully defined learning journey.
It is an instructor-led program which runs to a fixed schedule, with set start and finish dates. It is driven forward by your instructor and features live sessions that are aired at a set time. You will, however, have time to complete certain activities at your own pace outside of the live sessions. And you will be encouraged to stay connected with your learning community, mentors, and instructors through the program discussion space.
Courses also include videos, hands-on labs, exercises, and knowledge checks. The materials for each course are accessible from the start of the course and will remain available for the duration of your enrollment.
Enrollment in the program includes all three courses. You cannot enroll for the courses separately. All three courses will prepare you for the associated Microsoft certification exams, but please note the exams are not included in this program. You will, however, get a detailed overview of the Microsoft certification process and discover tips and tricks, testing strategies, useful resources, and information on how to sign up for the proctored exams.
You will receive a PLU Certificate of Completion when you successfully complete the program.
You will develop skills in:
- Describing AI workloads and considerations.
- Describing fundamental principles of machine learning on Azure.
- Describing features of computer vision workloads on Azure.
- Describing features of natural language processing (NLP) workloads on Azure.
- Describing features of conversational AI workloads on Azure.
- The fundamentals of Azure Storage account.
- Understanding the different types of cloud model.
- Machine learning for decision support systems.
- Using Cognitive Services for data analysis.
- Azure functions and logic apps.
- Basic understanding of Azure monitor and Azure Advisor.
- Azure firewall.
- Azure active directory.
- Using Total Cost of Ownership calculator.
- The service level agreement.
- LUIS service.
- Sentiment analysis and the Text Analytics API.
- Configuring audio format and voices.
- Using Speech Synthesis Markup Language.
- Translating speech to text.
- Overview of face recognition.
- Individuals keen to learn AI concepts and technologies.
- College graduates keen to to start their career in AI.
- Experienced developers who want to extend their skills to include Azure and AI technologies.
- Data scientists seeking to extend their knowledge to include cloud technologies.
Basic experience with Azure Cloud.