Cloud AI Technology & Automation Course (Pre-Order)

The Cloud AI Fundamentals is comprised of two modules that provide coverage of predictive and generative AI systems in cloud-based environments and as part of cloud-based solutions. Coverage includes cloud automation features for training model deployment, management and performance measuring.

Each module has a set of lessons and is further supplemented with exercises and practice questions to help reinforce your understanding of key topics. Completing this course also prepares you for the official certification exam, as explained on the Cloud AI Professional Certification page.

Further resources are available to assist you with the completion of this course and preparation for the certification exam. These include downloadable digital course PDFs, printed course materials that can be shipped to your location, as well as coaching and instructor-led training services available by Arcitura and its training partner network. You can purchase coaching time on an hourly basis and instructor-led training workshops are available for individuals and groups.

This course is available via two separate eLearning platforms, each of which has different features and benefits. Upon clicking the Enroll button, you will be able to choose the eLearning option that works best for you.

Contact [email protected] with any questions.

Program: AI & Cloud AI Professional Academy

Prerequisites: None

Duration: 30 hours

Pricing: from $29

Corresponding Certification:
Cloud AI Professional

Inquire About Instructor-Led Training for Your Team

Workbook Lessons

Video Lessons

Reference Posters

Interactive Exercises

Graded Self-Test

Completion Certificate

Course Modules

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.

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.