Artificial Intelligence and Machine Learning Courses

AI+ Cloud

Length 5 days
Inclusions Online Exam

Course overview

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Why study this course

The AI+ Cloud course targets developers and IT professionals aspiring to excel in cloud computing integrated with artificial intelligence. The curriculum explores AI and cloud computing, encompassing cloud infrastructure and AI model deployment. Participants gain practical insights into cloud based AI applications, culminating in an interactive capstone project. With these skills, graduates are primed to navigate the dynamic AI+ Cloud™ integration landscape, equipped to design and implement AI solutions seamlessly within cloud environments for sustained success.

Exam and certification

This course prepares students for the corresponding certification. The exam/assessment is completed online and provided as part of the course content.

The exam is:

90 minutes
50 multiple choice / multiple response questions
Pass mark is 35 out of 50 (i.e. 70%)
Online via AI Proctoring platform

Please note: For the AI+ Cloud course, lab guides are available for Azure, AWS, and GCP, giving students the flexibility to select their preferred cloud platform for completing the labs. Azure labs are provided to any learner choosing Azure as their preferred platform. Students opting for AWS or GCP can create free accounts to access the required resources and complete the labs on those platforms.

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What you’ll learn

This AI Cloud training course is designed to teach participants how to:

Construct, train, and optimise machine learning models utilising cloud-based tools and services. This involves learning to choose methods, preprocess data, and optimise models.
Master cloud AI model deployment and integration into existing systems and workflows. Learn deployment pipelines, version control, and CI/CD procedures to seamlessly integrate AI solutions into production environments.
Apply AI and cloud computing concepts to real-world problems, enhancing their problem-solving skills.
Emphasising AI model development and cloud deployment, learners will learn to optimise AI models and processes for performance, scalability, and cost.

AI CERTs at Lumify Work

AI CERTs™ stands at the forefront of AI and blockchain certification, offering world-class programs that prepare individuals to lead in these rapidly growing fields. AI CERTs courses and certifications are vendor agnostic and designed to bridge the gap between theoretical knowledge and practical application, ensuring learners are equipped to make an immediate impact in their careers.
Lumify Work is an Authorized Training Partner for AI CERTs in Australia, New Zealand, and the Philippines.

View all AI CERTs at Lumify Work courses

Who is the course for?

This AI Cloud training course is intended for:

Developers & IT Professionals
Aspiring Engineers
Cloud-based Company Business Owners

Course subjects

Module 1: 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

Module 2: Introduction to Artificial Intelligence

Basic Concepts and Principles of AI
Machine Learning and Its Applications
Overview of Common AI Algorithms

Module 3: Fundamentals of Cloud Computing

Cloud Service Models
Cloud Deployment Models
Key Cloud Providers and Offerings (AWS, Azure, Google Cloud)

Module 4: AI Services in the Cloud

Integration of AI Services in Cloud Platforms
Working with Pre-built Machine Learning Models
Introduction to Cloud-based AI Tools

Module 5: AI Model Development in the Cloud

Building and Training Machine Learning Models
Model Optimisation and Evaluation
Collaborative AI Development in a Cloud Environment

Module 6: Cloud Infrastructure for AI

Setting Up and Configuring Cloud Resources
Scalability and Performance Considerations
Data Storage and Management in the Cloud

Module 7: Deployment and Integration

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

Module 8: Future Trends in AI + Cloud Integration

Introduction to Future Trends
AI Trends Impacting Cloud Integration

Module 9: Hands-on Examples

Applying AI and Cloud Concepts to Solve a Real-world Problem

Prerequisites

A foundational understanding of key concepts in both artificial intelligence and cloud computing
Fundamental understanding of computer science concepts like programming, data structures, and algorithms
Familiarity with cloud computing platforms like AWS, Azure, or GCP
Basic knowledge of mathematics as it important for machine learning, which is a core component of AI+ Cloud program

Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.