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ProTrain College

AI+ Cloud

Certificate

AI+ Cloud

  • Self-Paced
  • Online
  • Certificate

The AI+ Cloud program is meticulously designed for developers and IT professionals striving to master cloud computing integrated with Artificial Intelligence (AI). This course equips learners with cutting-edge skills in cloud AI model development, advanced cloud infrastructure design, and seamless AI deployment strategies. Participants will explore key concepts of cloud-based AI solutions, CI/CD pipelines, and optimization techniques, preparing them to lead in the evolving landscape of AI-powered cloud environments. This program culminates in a hands-on capstone project, enabling participants to design and implement scalable AI-driven cloud solutions tailored to real-world applications. Graduates of this program will be positioned as industry leaders in cloud computing innovation.

Hours

40

Access Length

12 Months

Delivery

Self-Paced

Share

$495.00
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Course Overview

Recommended Prerequisites:
  • A strong foundational understanding of artificial intelligence and cloud computing principles.
  • Basic knowledge of programming languages, data structures, and algorithms.
  • Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
  • Basic understanding of mathematics for machine learning, essential for AI model building.

Course Outline:

Lesson 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
Lesson 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
Lesson 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)
Lesson 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
Lesson 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
Lesson 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
Lesson 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
Lesson 8: Future Trends in AI+ Cloud Integration
  • 8.1 Introduction to Future Trends
  • 8.2 AI Trends Impacting Cloud Integration
Lesson 9: Capstone Project
  • 9.1 Applying AI and Cloud Concepts to Solve a Real-world Problem
Optional Lesson: AI Agents for Cloud Computing
  • Understanding AI Agents
  • Case Studies
  • Hands-On Practice with AI Agents

All necessary course materials are included.

System Requirements.

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