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Note: This new course is coming soon and is currently available for pre-order.

The Cloud AI Technology & Automation course provides essential coverage of concepts and technologies for cloud-based AI systems, including infrastructure resources for reliability and scaling, AI data management, AI system deployment models, using containerization with AI systems, cloud AI serverless architecture, as well as integration of AI services with cloud-native applications.

Complete the Cloud AI Technology & Automation course and, optionally, get accredited as a Certified Cloud AI Professional by passing the certification exam. You can purchase the course now and get the exam later, or you can get them together at a discount as part of the Certification Bundle.

Upon completing the course you will receive a digital certificate of completion, as well as a digital training badge from Acclaim/Credly. Upon getting certified you will also receive an official Cloud AI Professional digital accreditation certificate and certification badge from Acclaim/Credly, along with an account that can be used to verify your certification status.

The Cloud AI Technology & Automation course is comprised of the following 2 course modules, each of which has an estimated completion time of 10 hours:

  • Module 19: Fundamental Cloud AI Technology & Automation
  • Module 20: Advanced Cloud AI Technology & Automation

Choose the Certification Bundle to receive the entire course together with the online-proctored certification exam and a set of practice exam questions, all at a bundle discount.

Exam Details

Upon purchasing this course, you will automatically receive access via the Online Interactive eLearning platform. To provide you with the greatest flexibility, you will also have the option to access the course materials via two additional eLearning formats, at no extra cost. All three eLearning formats are briefly described below. A more detailed comparison can be found here.
  1. For everyday learning: An online interactive eLearning platform with individual lessons, as well as interactive and automatically graded exercises and practice questions.
  2. For learning on-the-go: A study kit platform with access to full course documents that support online/offline synching, annotations, comments, custom bookmarks and cross-document searches.
  3. For your reference: A set of printable PDF documents that you can keep (for all course workbooks and posters).
All three forms of access are subject to Arcitura’s *. Upon purchase, access to the online interactive eLearning platform (1) is provided within one business day. Access to the study kits (2) and the PDF documents (3) is provided upon request.

The course is comprised of a set of modules. Each module has a set of lessons and is further supplemented with exercises to help reinforce your understanding of key topics. Shown below are the digital contents and the topic outline for each course module:


Module 19: Fundamental Cloud AI Technology & Automation

This course module focuses on cloud computing technology, infrastructure and practices specific to establishing and running cloud-based predictive AI and generative AI solutions. Topics include GPU and TPU for AI learning workloads, cloud-based AI services such as AWS SageMaker, Azure Machine Learning and Google AI Platform for model development, training and deployment, as well as mechanisms for scaling AI applications in the cloud, data storage and pipeline options.


Course Module Contents


  • Workbook Lessons (100+ pages)
  • Interactive Exercises
  • Mind Map Poster

  • Symbol Legend Poster
  • Practice Exam Questions
  • PDFs of Workbook and Posters (printable)

Topics Covered

  • Overview of Cloud Computing Related to Predictive AI and Generative AI
  • Fundamental Cloud AI Infrastructure
  • Types of Cloud Infrastructure (GPUs, TPUs) and their AI Applications
  • AI Services in the Cloud
  • Exploring AWS SageMaker, Azure Machine Learning and Google AI Platform
  • Leveraging Pre-Built AI APIs

  • Managing AI Data in the Cloud
  • AI Data Storage (Object Storage, Data Warehouses, Data Lakes)
  • Building and Training AI Models in the Cloud
  • Training Models with Cloud-based Services
  • Deploying AI Models in the Cloud
  • Data Compliance and Governance in AI
  • Monitoring and Optimizing AI Workloads
  • Security and Privacy Considerations

Module 20: Advanced Cloud AI Technology & Automation

This course module covers a range of advanced topics, including cloud-based AI model management, AI pipeline orchestration, optimization techniques, scaling and failover, MLOps, as well as multi-cloud and hybrid AI strategies. Also covered are cloud-based data pipeline services, including AWS Glue, Azure Data Factory and Google Dataflow.


Course Module Contents


  • Workbook Lessons (100+ pages)
  • Interactive Exercises
  • Mind Map Poster

  • Practice Exam Questions
  • PDFs of Workbook and Poster (printable)

Topics Covered

  • AI Model Orchestration for Multi-Step AI Workflows
  • Resource Optimization Cloud-based AI
  • Multi-Cloud and Hybrid AI Frameworks
  • MLOps and Continuous Integration and Delivery (CI/CD) Pipelines for AI Models
  • AI Data Pipeline Services, including AWS Glue, Azure Data Factory, Google Dataflow
  • Performance Tuning and Distributed AI Architectures

  • Managing Distributed Data and Computation in AI Applications
  • Security Strategies for AI Data and Models
  • Disaster Recovery and Failover Planning
  • Scaling and Managing AI Applications with Containerization and Serverless
  • Automated Failover Mechanisms for High-Availability AI
  • Advanced Analytics and AI Services
  • Cloud-Native Advanced AI Services

Learn About Arcitura: Take the Video Tour

Watch these helpful informational videos to learn about Arcitura programs, courses and certifications.

About Arcitura

About Arcitura Courses

About Arcitura Certifications

What’s in an Arcitura Course

Comprehensive
Coverage

Each course provides a comprehensive curriculum with 2-3 modules and 20-40 hours of training.

More Than Just
Video Lessons

In addition to standard video lessons, courses include full-color workbooks and reference posters for all lessons.

Interactive & Graded
Challenges

Courses also include interactive and graded exercises, interactive and graded self-tests and other supplements.

The Arcitura Difference

EACH COURSE

  • is authored by a dedicated courseware development team
  • has a self-test, accreditation exam and professional certification
  • is available via two different eLearning platforms

ALL COURSES

  • undergo a common development process
  • are authored to be consistent in quality, structure and style
  • share a common vocabulary and symbol notation
  • are authored in collaboration with subject matter experts

Take Your Skills Anywhere

Regardless of whether you are an individual looking to boost your career or an organization looking to up-skill a team, Arcitura courses and certifications provide a sound investment.

Because both courses and accreditations are vendor-neutral, they empower you with skills and credentials that you can take to wherever you need to go.

Professional Instructor-Led Training & Coaching

 

QUESTIONS?

Contact info@arcitura.com or 604-904-4100 during PT working hours.