"Designing and Implementing AI Solutions with Microsoft Azure"
Sub Category
- IT Certifications
{inAds}
Objectives
- Analyze Solution Requirements (20-25%) Identify Business Problems: Understand and define the business problem and requirements for AI solutions.
- Implement AI Solutions (30-35%) Implement Computer Vision Solutions: Use Azure Computer Vision to extract information from images and videos.
- Integrate AI Models into Solutions (25-30%) Integrate AI Models into Applications: Deploy AI models into applications using REST APIs, SDKs, and other integrat
- Monitor and Optimize AI Solutions (15-20%) Monitor AI Solutions: Use Azure tools to monitor the performance and usage of AI solutions.
Pre Requisites
- Experience with Azure AI Services: Familiarity with Tools: Hands-on experience with Azure AI services, including Azure Cognitive Services
- Basic Knowledge of Machine Learning: Machine Learning Concepts: Understanding of machine learning fundamentals, including model training, evaluation, and deployment.
- Programming Skills: Coding Proficiency: Experience with programming languages commonly used in AI, such as Python or C#.
- Data Processing Experience: Data Preparation: Familiarity with data preparation and preprocessing techniques, including handling and cleaning data for AI model training.
- Understanding of AI Solutions: AI Capabilities: Knowledge of how to implement various AI capabilities, such as natural language processing, computer vision, and conversational AI.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
{inAds}
Coupon Code(s)