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Introduction
Lab Instructions
Module 1: Fundamentals of Artificial Intelligence (AI) and Cloud
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
Quiz
Module 2: Introduction to Artificial Intelligence
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
Quiz
Lab Practice 2.1
Lab Practice 2.2
Python File Download
Module 3: Fundamentals of Cloud Computing
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)
Lab Practice 3.1 - Azure Version
Lab Practice 3.1 - AWS Version
Lab Practice 3.1 - GCP Version
Download Data Set - Lab Practice 3.1
Lab Practice 3.2 - Azure Version
Lab Practice 3.2 - AWS Version
Module 4: AI Services in the 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
Quiz
Lab Practice 4.1 - Azure Version
Lab Practice 4.1 - AWS Vesrion
Lab Practice 4.1 - GCP Vesrion
Lab Practice 4.2 - Azure Version
Lab Practice 4.2 - AWS Version
Lab Practice 4.2 - GCP Version
Lab Practice 4.3 - Azure Version
Lab Practice 4.3 - GCP Version
Module 5: AI Model Development in the Cloud
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
Quiz
Lab Practice 5.1
Lab Practice 5.2 - Azure Version
Lab Practice 5.2 - AWS Version
Lab Practice 5.2 - GCP Version
Lab Practice 5.3
Python File Download
Module 6: Cloud Infrastructure for AI
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
Quiz
Lab Practice 6.1 - Azure Version
Lab Practice 6.1 - AWS Version
Lab Practice 6.1 - GCP Version
Lab Practice 6.2 - Azure Version
Lab Practice 6.2 - AWS Version
Lab Practice 6.2 - GCP Version
Module 7: Deployment and Integration
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
Quiz
Module 8: Future Trends in AI + Cloud Integration
Module 8: Future Trends in AI + Cloud Integration
8.1 Introduction to Future Trends
8.2 AI Trends Impacting Cloud Integration
Quiz
Module 9: Capstone Project
Module 9: Capstone Project
9.1 Applying AI and Cloud Concepts to Solve a Real-world Problem
Lab Practice 9.1
Lab Practice 9.2 - Azure Version
Lab Practice 9.2 - GCP Version
Python File Download
AICT Discussion Forum
Additional Module - AI Agents For Cloud
AI Agent Cloud
Resources
AI+ Cloud Blueprint
AI+ Cloud Detailed Curriculum
AI+ Cloud Tools
AI+ Cloud Resources and References
AI CERTs Exam Guidelines
AI CERTs Exam Guidelines
AI+ Cloud Examination
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Course info
AI+ Cloud™
Skill Level
:
Beginner
certificate name
:
AI+ Cloud™
Badge
:
Badge_AI+-Cloud.png
Live Course ID
:
55
Course Layout
:
Standard
