AI for Cloud Computing Online Live Class by Experts
Our Training/Internship Process
AI for Cloud Computing - Syllabus, Fees & Duration
Introduction to AI and Cloud Computing (1 Hour)
- Fundamentals of cloud computing
- Introduction to Artificial Intelligence and machine learning
- Cloud service models: IaaS, PaaS, and SaaS
- Applications of AI in cloud environments
Cloud Platforms and Services (2 Hours)
- Introduction to AWS, Microsoft Azure, and Google Cloud
- Cloud computing architecture and deployment models
- Virtual machines, cloud storage, and networking
- Introduction to cloud-based AI services
AI Tools and Cloud-Based Machine Learning (2 Hours)
- Introduction to cloud AI tools and services
- Using pre-trained AI models and AI APIs
- Introduction to generative AI in cloud applications
- Using AI assistants for cloud development tasks
- Practical exercise with a cloud-based AI service
AI Application Deployment (2 Hours)
- Preparing an AI-powered application for deployment
- Deploying a simple application on a cloud platform
- Integrating AI APIs into web applications
- Introduction to serverless computing
- Testing and monitoring deployed applications
Cloud Automation, Security, and Optimization (1 Hour)
- Introduction to cloud automation and DevOps
- Cloud security and identity access management
- AI-assisted troubleshooting and monitoring
- Cloud cost optimization and responsible AI usage
Practical Project and Assessment (2 Hours)
- Build a simple AI-powered cloud application
- Integrate a cloud-based AI service or API
- Deploy and test the application
- Configure basic security and monitoring
- Project demonstration and final assessment
This syllabus is not final and can be customized as per needs/updates
- Since 2001, Making IT Experts by Experts
- Duration: 10 Hours (Vary as per your skill)
- Course Fees
- Individual Live Classes (1:1)
- Batch Classes @ Low Fees
- Training on Your Time, Any Where
- Access to Recorded Videos
- Practical Internship on Projects
- 100% Placement Support by our jobsHybrid.com
- Training/Internship Certificate
- Atlanta
- Austin
- Baltimore
- Boston
- Charleston
- Charlotte
- Chicago
- Colorado Springs
- Columbus
- Dallas
- Denver
- Detroit
- Fort Worth
- Fresno
- Honolulu
- Houston
- Indianpolis
- Jacksonville
- Kansas City
- Las Vegas
- Los Angeles
- Lousville
- Memphis
- Miami
- Milwaukee
- Minneapolis
- Nashville
- New Orleans
- New York
- Oklahoma City
- Omaha
- Philadelphia
- Phoenix
- Portland
- Raleigh
- Sacramento
- San Antonio
- San Diego
- San Francisco
- San Jose
- Seattle
- Tampa
- Tucson
- Tulsa
- Virginia Beach
- Washington
- Wichita
Course Highlights
Our Locations
The course is suitable for students who have completed 10th, 12th, any degree, BTech, or a master's degree, as well as freshers and IT professionals who want to develop industry-relevant cloud and AI skills. Learners will explore cloud services and AI tools through practical exercises and real-world projects. The course covers cloud computing fundamentals, AI and machine learning in the cloud, cloud platforms, AI model deployment, cloud storage, serverless computing, cloud automation, security, and infrastructure monitoring. . AI for Cloud Computing in Portland helps students and professionals understand how Artificial Intelligence and cloud technologies work together to build, deploy, and manage intelligent applications. 
