AI+ Cloud

Hours: 40 / Access Length: 12 Months / Delivery: Online, Self-Paced
Online Hours: 40
Retail Price: $495.00

Course Overview:

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.

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:

Internet Connectivity Requirements:

• Cable, Fiber, DSL, or LEO Satellite (i.e. Starlink) internet with speeds of at least 10mb/sec download and 5mb/sec upload are recommended for the best experience.

NOTE: While cellular hotspots may allow access to our courses, users may experience connectivity issues by trying to access our learning management system.  This is due to the potential high download and upload latency of cellular connections.   Therefore, it is not recommended that students use a cellular hotspot as their primary way of accessing their courses.

Hardware Requirements:

• CPU: 1 GHz or higher
• RAM: 4 GB or higher
• Resolution: 1280 x 720 or higher.  1920x1080 resolution is recommended for the best experience.
• Speakers / Headphones
• Microphone for Webinar or Live Online sessions.

Operating System Requirements:

• Windows 7 or higher.
• Mac OSX 10 or higher.
• Latest Chrome OS
• Latest Linux Distributions
  

NOTE: While we understand that our courses can be viewed on Android and iPhone devices, we do not recommend the use of these devices for our courses. The size of these devices do not provide a good learning environment for students taking online or live online based courses.

Web Browser Requirements:

• Latest Google Chrome is recommended for the best experience.
• Latest Mozilla FireFox
• Latest Microsoft Edge
• Latest Apple Safari

Basic Software Requirements (These are recommendations of software to use):

• Office suite software (Microsoft Office, OpenOffice, or LibreOffice)
• PDF reader program (Adobe Reader, FoxIt)
• Courses may require other software that is described in the above course outline.