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AI+ Cloud™ Self-Paced Online Course
USD$700.00 (GST excl.)
Transform Cloud Computing with Cutting-Edge AI integration
- Cloud-AI Fusion: Learn to integrate AI into scalable cloud environments
- Advanced Infrastructure: Master CI/CD, cloud AI models, and deployment strategies
- Capstone Project: Gain hands-on experience with real-world applications
- Future-Ready Skills: Prepares professionals to lead AI-powered cloud innovation
Overview
- Cloud-AI Fusion: Learn to integrate AI into scalable cloud environments
- Advanced Infrastructure: Master CI/CD, cloud AI models, and deployment strategies
- Capstone Project: Gain hands-on experience with real-world applications
- Future-Ready Skills: Prepares professionals to lead AI-powered cloud innovation
Who should enroll
- Cloud Professionals: Enhance your cloud management skills by integrating AI to optimize cloud performance, improve resource utilization.
- Cloud Architects & Engineers: Learn to leverage AI to design scalable cloud infrastructures, automate cloud provisioning, and enhance security.
- IT Infrastructure Managers: Use AI to optimize cloud deployment, automate system management, and improve cloud security and disaster recovery planning.
- Business Leaders: Drive innovation in your organization by adopting AI in cloud technologies to enhance scalability, reduce costs, and optimize cloud solutions.
- Students & Fresh Graduates: Gain a competitive edge in the cloud computing field by mastering AI tools and techniques that are revolutionizing cloud infrastructure.
Why this certification matters
- Leverage AI for Smarter Leadership Decisions: Learn how to harness AI tools to streamline operations, enhance strategic planning, and drive performance.
- Enhance AI Integration Across the Organization: Use AI to accelerate the integration of AI-driven solutions, automating processe.
- Stay Ahead in AI-Driven Innovation: As demand for AI expertise rises, Chief AI Officers with advanced AI knowledge are highly sought after to spearhead AI.
- Boost Strategic Decision-Making with AI Analytics: Master AI models to analyze business data, predict outcomes, and enable more informed, real-time decisions.
- Advance Your Career in AI Leadership: With AI reshaping industries, this certification equips you with the skills needed to lead AI initiatives.
Learning Modules
11 modules
01Course Overview
Course Introduction Preview
02Module 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
1.2 Overview of Cloud Computing and Its Benefits
1.3 Benefits and Challenges of AI-Cloud Integration
03Module 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
2.2 Machine Learning and Its Applications
2.3 Overview of Common AI Algorithms
2.4 Introduction to Python Programming for AI
04Module 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)
3.2 Cloud Deployment Models
3.3 Key Cloud Providers and Offerings (AWS, Azure, Google Cloud)
05Module 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
4.2 Working with Pre-built Machine Learning Models
4.3 Introduction to Cloud-based AI tools
06Module 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
5.2 Model Optimization and Evaluation
5.3 Collaborative AI Development in a Cloud Environment
07Module 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
6.2 Scalability and Performance Considerations
6.3 Data Storage and Management in the Cloud
08Module 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
7.2 Integration of AI Solutions with Existing Cloud-Based Applications
7.3 API Usage and Considerations
09Module 8: Future Trends in AI+ Cloud Integration
8.1 Introduction to Future Trends
8.2 AI Trends Impacting Cloud Integration
8.2 AI Trends Impacting Cloud Integration
10Module 9: Capstone Project
9.1 Applying AI and Cloud Concepts to Solve a Real-world Problem
11Optional Module: AI Agents for Cloud Computing
1. Understanding AI Agents
2. Case Studies
3. Hands-On Practice with AI Agents
2. Case Studies
3. Hands-On Practice with AI Agents
Tools Covered
TensorFlow
SHAP (SHapley Additive exPlanations)
Amazon S3
AWS SageMaker
| Format | Online, self-paced |
|---|---|
| Duration | Instructor-Led: 5 days (live or virtual) |
| Exam | 50 questions, 70% passing, 90 minutes, online proctored exam |
| Included | Self-paced course + Official exam + Digital badge |
| Prerequisites | Key concepts in both AI, Fundamental understanding of computer science, Familiarity with cloud computing platforms like AWS, Azure, or GCP |
| Delivery | Projects & case studies |
| Outcome | Industry-recognized credential + hands-on experience |
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