AI+ Cloud
The AI+ Cloud Course explores how Artificial Intelligence integrates with cloud computing to enhance data management and efficiency. It covers AI and cloud technologies, including major providers like AWS, Azure, and Google Cloud. Participants will develop and optimize AI models in the cloud and work with cloud-based AI tools. The course includes hands-on projects for building and deploying machine learning models. This training equips professionals to leverage cloud-based AI solutions and stay ahead of future trends.
All students receive:
- One-Year Subscription (with all updates)
- High-Quality E-Book
- Al Mentor for Personalized Guidance
- Quizzes, Assessments, and Course Resources
- Exam Study Guide
- Proctored Exam with one Free Retake
Check out our full list of training locations and learning formats. Please note that the location you choose may be an Established HD-ILT location with a virtual live instructor.
Train face-to-face with the live instructor.
Access to on-demand training content anytime, anywhere.
Attend the live class from the comfort of your home or office.
Interact with a live, remote instructor from a specialized, HD-equipped classroom near you. An SLI sales rep will confirm location availability prior to registration confirmation.
All Sunset Learning dates are guaranteed to run!
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Prerequisites:
Required:
- A foundational understanding of key concepts in both artificial intelligence and cloud computing
- Fundamental understanding of computer science concepts like programming, data structures, and algorithms
- Familiarity with cloud computing platforms like AWS, Azure, or GCP
- Basic knowledge of mathematics as it important for machine learning, which is a core component of AI+ Cloud program
Recommended:
- AI+ Everyone or AI+ Executive
Target Audience:
- Cloud Developer
- IT Professional
Course Objectives:
- Enhance Efficiency
- Scalability and Flexibility
- Intelligent Insights and Decision Making
- Enhanced Security and Compliance
- Seamless Integration and Collaboration
Course Outline:
Fundamentals of Artificial Intelligence (AI) and Cloud
- Introduction to AI and Its Application
- Overview of Cloud Computing and Its Benefits
- Benefits and Challenges of AI-Cloud Integration
Introduction to Artificial Intelligence
- Basic Concepts and Principles of AI
- Machine Learning and Its Applications
- Overview of Common AI Algorithms
- Introduction to Python Programming for AI
Fundamentals of Cloud Computing
- Cloud Service Models
- Cloud Deployment Models
- Key Cloud Providers and Offerings (AWS, Azure, Google Cloud)
AI Services in the Cloud
- Integration of AI Services in Cloud Platform
- Working with Pre-built Machine Learning Models
- Introduction to Cloud-based AI tools
AI Model Development in the Cloud
- Building and Training Machine Learning Models
- Model Optimization and Evaluation
- Collaborative AI Development in a Cloud Environment