AI+ Cloud

Harness the transformative power of AI in cloud environments with our AI+ Cloudâ„¢ certification course, tailored for Cloud Architects, Engineers, and IT professionals. This intermediate-level course equips you with practical skills in AI cloud computing, data management, and real-world AI applications. You’ll learn to optimize cloud infrastructure for AI functionalities and manage large-scale AI deployments. Led by industry experts, the course offers hands-on experience with cutting-edge technologies through real-world use cases and projects, preparing you to lead AI initiatives and drive digital transformation in your organization.

Course Details

Price:

$3,995.00

Days:

Location:

Virtual

Course Overview

• Enhance Efficiency
• Scalability and Flexibility
• Intelligent Insights and Decision Making
• Enhanced Security and Compliance
• Seamless Integration and Collaboration
• Cost Optimization
• Customer Experience Enhancement
• Continuous Improvement and Innovation

• Proficiency in cloud computing platforms (e.g., AWS, Azure, Google Cloud)
• Strong programming skills in languages such as Python, Java, or JavaScript
• Experience with containerization technologies (e.g., Docker, Kubernetes)
• Knowledge of cloud architecture and design patterns
• Familiarity with DevOps practices and tools
• Understanding of networking concepts and security best practices
• Ability to work with APIs and microservices
• Experience with database management (SQL and NoSQL)
• Strong problem-solving and analytical skills
• Excellent communication and collaboration abilities

– 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

– Cloud Infrastructure for AI
• Setting Up and Configuring Cloud Resources
• Scalability and Performance Considerations
• Data Storage and Management in the Cloud

– Deployment and Integration
• Strategies for Deploying AI Models in the Cloud
• Integration of AI Solutions with Existing Cloud-Based Applications
• API Usage and Considerations

– Future Trends in AI + Cloud Integration
• Introduction to Future Trends
• AI Trends Impacting Cloud Integration

– Capstone Project
• Exercise 1: Diabetes Prediction Using Machine Learning
• Exercise 2: Building & Deploying an Image Classification Web App with GCP AutoML Vision Edge, Tensorflow.js & GCP App Engine
• Exercise 3: How to deploy your own ML model to GCP in 5 simple steps
• Exercise 4: Google Cloud Platform Custom Model Upload, REST API Inference and Model Version Monitoring
• Exercise 5: Deploy Machine Learning Model in Google Cloud Platform Using Flask

Class Dates & Times


5/19/2025 Virtual 09:00:00-17:00:00 CST Enroll Now $3,995.00
6/23/2025 Virtual 09:00:00-17:00:00 CST Enroll Now $3,995.00
7/21/2025 Virtual 09:00:00-17:00:00 CST Enroll Now $3,995.00
8/18/2025 Virtual 09:00:00-17:00:00 CST Enroll Now $3,995.00
9/22/2025 Virtual 09:00:00-17:00:00 CST Enroll Now $3,995.00
10/20/2025 Virtual 09:00:00-17:00:00 CST Enroll Now $3,995.00
11/17/2025 Virtual 09:00:00-17:00:00 CST Enroll Now $3,995.00
12/15/2025 Virtual 09:00:00-17:00:00 CST Enroll Now $3,995.00

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