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AI+ Cloud™
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Introduction
Course Introduction
Lab Instructions
Audio Book: Introduction AI+ Cloud
Module 1: Fundamentals of AI and Cloud
Module 1: Fundamentals of Artificial Intelligence (AI) and Cloud
Audio Book: Fundamentals of Artificial Intelligence (AI) and Cloud
Podcast: Fundamentals of AI and Cloud
1.1 Understanding Artificial Intelligence
1.2 Applications of AI
1.3 Understanding Cloud Computing
Activity: True/False
1.4 Key Benefits of Cloud Computing
Activity: Accordion
1.5 Application of AI in Cloud Computing
1.6 Addressing Challenges in AI Cloud Integration
Activity: Drag and Drop
Activity: Knowledge checks
Quiz
Module 2: Introduction to Artificial Intelligence
Module 2: Introduction to Artificial Intelligence
Audio Book: Introduction to Artificial Intelligence
Podcast: Introduction to Artificial Intelligence
2.1 Understanding the Foundations
2.2 Key Components of AI
Activity: True/False
2.3 Introduction to Machine Learning
2.4 Types of Machine Learning
2.5 Practical Applications of Machine Learning
Activity: Tab Type 1
2.6 Essential AI Algorithms
Activity: Scenario Activity
2.7 Python Basics for AI
2.8 Python Libraries for AI
Activity: Multiple Response
Activity: Knowledge Checks
Quiz
Lab Practice 2.1
Lab Practice 2.2
Python File Download
Module 3: Fundamentals of Cloud Computing
Module 3: Fundamentals of Cloud Computing
Audio Book: Fundamentals of Cloud Computing
Podcast: Fundamentals of Cloud Computing
3.1 Infrastructure as a Service
3.2 Platform-as-a-Service
3.3 Software as a Service
Activity: Hotspot
3.4 Types of Cloud Deployment Models
3.5 Public Cloud
3.6 Private Cloud
3.7 Hybrid Cloud
3.8 Hands-on Activity
Activity: Drag and Drop
3.9 AWS: Amazon's Cloud Ecosystem What
3.10 Azure: Microsoft's Cloud Solutions
3.11 Google Cloud: Innovation and Scalability
Activity: True/False
Activity: Knowledge checks
Quiz
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
Audio Book: AI Services in the Cloud
Podcast: AI Services in the Cloud
4.1 Overview of Cloud AI Services
4.2 Integrating Cloud AI Services
Activity: Problem Statement: Type 1
4.3 Leveraging Pre-built Models
4.4 Practical Application
4.5 Analyzing Results and Fine-tuning
Activity: Carousel/Slideshow
4.6 Overview of Cloud-based AI Development Tools
Activity: True/False
Activity: Knowledge Checks
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
Audio Book: AI Model Development in the Cloud
Podcast: AI Model Development in the Cloud
5.1 Traditional Machine Learning Model Development
5.2 Building Machine Learning Models with AutoML
Activity: Sequence
5.3 Hyperparameter Tuning: Delve into hyperparameter tuning techniques for optimizing model performance
5.4 Evaluation Metrics and Techniques
5.5 Interpretability and Explainability
Activity: Multiple Response
5.6 Version Control for Machine Learning Projects
5.7 Collaborative Development Platforms
5.8 Model Deployment and Sharing
Activity: True/False
Activity: Knowledge Checks
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
Audio Book: Cloud Infrastructure for AI
Podcast: Cloud Infrastructure for AI
6.1 Infrastructure as Code (IaC)
Activity: PopUp
6.2 GPU and TPU Utilization
6.3 Auto-Scaling Strategies
Activity: Problem Statement
6.4 Data Security and Compliance
6.5 Data Lifecycle Management
Activity: Hotspot
Activity: Knowledge Checks
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
Audio Book: Deployment and Integration
Podcast: Deployment and Integration
7.1 Popular Deployment Strategies & Pattern
7.2 Platform-Specific Deployment
Activity: Tab: Type 2
7.3 Cloud Application Architecture
7.4 Microservices and AI
7.5 Data Integration Considerations
Activity: Case Study
7.6 API Design for AI Services
7.7 Testing Apis: Learn Testing Apis Through Various Tools Like Postman or Other Tool
Activity: Multiple choice with image
Activity: Knowledge checks
Quiz
Module 8: Future Trends in AI+ Cloud Integration
Module 8: Future Trends in AI + Cloud Integration
Audio Book: Future Trends in AI+ Cloud Integration
Podcast: Future Trends in AI+ Cloud Integration
8.1 Introduction to Explainable AI or XAI
8.2 Federated Learning
8.3 AI for Good
8.4 Quantum Computing and AI
Activity: Sequence
8.5 Edge AI and Hybrid Cloud
8.6 Serverless AI
8.7 AutoML and Automated MLOps
8.8 Responsible AI in the Cloud
Activity: Problem Statement
Activity: Knowledge Checks
Quiz
Module 9: Hands on Examples
Module 9: Hands on Examples
Audio Book: Hands on Examples
Podcast: Hands on Examples
9.1 Applying AI and Cloud Concepts to Solve a Real-World Problem
Activity: Tab Type 3
Activity: Knowledge Checks
Lab Practice 9.1
Lab Practice 9.2 - Azure Version
Lab Practice 9.2 - GCP Version
Python File Download
Additional Module - AI Agents For Cloud
AI Agent Cloud
1.1 AI Agents in Cloud Services: Examples and Their Growing Significance
1.2 Emerging Trends and the Importance of AI Agents in Cloud Services
1.3 Types of AI Agents in Cloud Services
1.4 Case Studies in AI-Powered Cloud Scaling Solutions
Graded Assessment- 5 Questions
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
AI+ Cloud Examination
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