3. Cloud-Based AI Systems and Deployment
This course dives into the latest cloud technologies and how they support AI infrastructure. Participants will gain hands-on experience with leading cloud platforms and learn how to deploy, manage, and optimize AI systems for performance and cost-effectiveness.
Courses :
Cloud Platform Exploration:
Get familiar with the AI tools and services offered by Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Learn how each cloud provider supports AI model development, deployment, and scaling.
Efficient AI Model Deployment:
Understand the essential steps for deploying AI models on cloud-based infrastructure, including containerization and serverless computing. Learn about continuous integration and deployment (CI/CD) practices for seamless AI updates.
Resource Optimization & Performance Management:
Develop skills to monitor cloud-based AI systems, allocate resources efficiently, and implement auto-scaling to ensure high availability and performance while controlling operational costs.
What You Will Learn:
Cloud Platform Mastery:
Gain familiarity with AI services offered by Amazon Web Services, Microsoft Azure, and Google Cloud.
Deployment Strategies:
Learn the steps to efficiently deploy AI models on cloud infrastructure.
Performance Management:
Optimize cloud resources to ensure cost-effective and high-performing AI implementations.
By the end of this course, participants will have the expertise to deploy AI systems in cloud environments confidently, ensuring reliability and efficiency for business-driven AI solutions.
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