AT-110
AI+ Cloud
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Duration:
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5 Days
Prerequisites
• 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
What you’ll learn in this course
The AI+ Cloud™ certification program targets developers and IT professionals aspiring to excel in cloud computing integrated with artificial intelligence. The curriculum offers an in-depth exploration of AI and cloud computing, encompassing advanced cloud infrastructure and AI model deployment.
Participants gain practical insights into cloud-based AI applications, culminating in an interactive capstone project. With these skills, graduates are primed to navigate the dynamic AI+ Cloud™ integration landscape, equipped to design and implement AI solutions seamlessly within cloud environments for sustained success.
Course Objectives
• Master the fundamentals of AI and cloud computing integration, understanding how they complement each other to enhance application development.
• Develop proficiency in advanced cloud infrastructure, learning to leverage cloud platforms effectively for deploying AI models at scale.
• Gain practical insights into designing and implementing AI solutions within cloud environments, focusing on efficiency, scalability, and reliability.
• Cultivate hands-on experience through interactive projects and exercises, applying theoretical knowledge to real-world scenarios.
• Prepare for the dynamic AI+ Cloud landscape, equipping yourself with the skills needed to navigate emerging technologies and trends in the industry confidently
Course Outline
Module 1: Fundamentals of Artificial Intelligence (AI) and Cloud
• 1.1 Introduction to AI and Its Application
• 1.2 Overview of Cloud Computing and Its Benefits
• 1.3 Benefits and Challenges of AI-Cloud Integration
Module 2: Introduction to Artificial Intelligence
• 2.1 Basic Concepts and Principles of AI
• 2.2 Machine Learning and Its Applications
• 2.3 Overview of Common AI Algorithms
• 2.4 Introduction to Python Programming for AI
Module 3: Fundamentals of Cloud Computing
• 3.1 Cloud Service Models
• 3.2 Cloud Deployment Models
• 3.3 Key Cloud Providers and Offerings (AWS, Azure, Google Cloud)
Module 4: AI Services in the Cloud
• 4.1 Integration of AI Services in Cloud Platform
• 4.2 Working with Pre-built Machine Learning Models
• 4.3 Introduction to Cloud-based AI tools
Module 5: AI Model Development in the Cloud
• 5.1 Building and Training Machine Learning Models
• 5.2 Model Optimization and Evaluation
• 5.3 Collaborative AI Development in a Cloud Environment
Module 6: Cloud Infrastructure for AI
• 6.1 Setting Up and Configuring Cloud Resources
• 6.2 Scalability and Performance Considerations
• 6.3 Data Storage and Management in the Cloud
Module 7: Deployment and Integration
• 7.1 Strategies for Deploying AI Models in the Cloud
• 7.2 Integration of AI Solutions with Existing Cloud-Based Applications
• 7.3 API Usage and Considerations
Module 8: Future Trends in AI+ Cloud Integration
• 8.1 Introduction to Future Trends
• 8.2 AI Trends Impacting Cloud Integration
Module 9: Hands on Examples
• 9.1 Applying AI and Cloud Concepts to Solve a Real-world Problem
Further information
If you would like to know more about this course please contact us
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