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
- Abbotsford
- Alberta
- Barrie
- Brampton
- British Columbia
- Burlington
- Calgary
- Charlottetown
- Delta
- Edmonton
- Gatineau
- Guelph
- Halifax
- Hamilton
- Kamloops
- Kelowna
- Kingston
- Kitchener
- Manitoba
- Mississauga
- Moncton
- Montreal
- Nanaimo
- New Brunswick
- Niagara Falls
- Nova Scotia
- Ontario
- Oshawa
- Ottawa
- Peterborough
- Prince George
- Quebec
- Regina
- Saint John
- Saskatoon
- Sherbrooke
- Surrey
- Thunder Bay
- Toronto
- Vancouver
- Victoria
- Waterloo
- Whitehorse
- Windsor
- Winnipeg
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 Sherbrooke helps students and professionals understand how Artificial Intelligence and cloud technologies work together to build, deploy, and manage intelligent applications. 
