Course overview
Azure AI Engineers use Cognitive Services, Machine Learning, and Knowledge Mining to architect and implement Microsoft AI solutions involving natural language processing, speech, computer vision, bots, and agents.
Who should do this course?
The course is suitable for IT administrators, IT professionals, System Engineers, Network Specialists, Software Developers
Course curriculum
This course will cover several topics which include:
- Identify storage solutions, recommend tools, technologies, and processes to meet process flow requirements
- Map security requirements to tools, technologies, and processes
- Select software and services required to support the solution, design and Apply an AI solution that includes one or more pipelines, design and Use the compute infrastructure to support a solution
- Choose and Design Intelligent Edge solutions, organize data governance, select and Design solutions that adhere to cost constraints
- Orchestrate an AI workflow, integrate AI services with solution components, integrate Intelligent Edge with solutions
- Use Provision required cloud, on-premises, and hybrid environments
- Validate solutions to ensure compliance with data privacy and security requirements
- Monitor and evaluate the AI environment
Duration: 45 hours
Course Features
- Lectures 0
- Quizzes 0
- Duration 45 hours
- Skill level All levels
- Language English
- Students 10
- Assessments Yes
