Foundations of Cloud AI: Understanding Modern AI Platforms
Published 10/2025
Duration: 1h 59m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 801.54 MB
Genre: eLearning | Language: English
Published 10/2025
Duration: 1h 59m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 801.54 MB
Genre: eLearning | Language: English
Generative AI, data pipelines, and model lifecycle concepts across major cloud platforms
What you'll learn
- how Generative AI and Large Language Models integrate within cloud ecosystems.
- Differentiate between major cloud AI platforms
- Understand the role of data pipelines, object storage, and warehousing in AI infrastructure.
- escribe key concepts in model lifecycle management : training, evaluation, and export.
Requirements
- No technical or programming background required. A general understanding of cloud computing is helpful but not mandatory.
Description
Artificial Intelligence is rapidly moving into the cloud , transforming how organizations build, scale, and deliver intelligent applications. This course provides a comprehensive foundation for understanding how AI services operate across the world’s leading cloud platforms:Amazon Web Services (AWS),Microsoft Azure, andGoogle Cloud Platform (GCP).
Through clear explanations and structured platform overviews, you will explore how cloud providers host, train, and manage large-scale AI models. The learning journey begins with the fundamentals of Generative AI, Large Language Models (LLMs), and Foundation Models, showing how they are integrated into managed cloud ecosystems such asVertex AI,Azure AI Studio, andAmazon Bedrock.
You will then discover the essential data infrastructure that powers cloud-based AI systems, includingobject storage patterns,ETL/ELT pipelines, anddata warehousingconcepts. The course concludes with a focus onmodel lifecycle management, covering training, evaluation, and model export workflows that support scalable deployment.
By the end of this course, you will gain a clear conceptual understanding of how modern cloud environments deliver and operationalize AI at scale. Whether you aim to advance your career in AI strategy, data architecture, or cloud engineering, this program equips you with the knowledge to navigate the evolving landscape of multi-cloud AI systems confidently.
Who this course is for:
- Students and beginners who want to understand how cloud platforms enable modern AI solutions.
- Business professionals and managers seeking a high-level overview of AI services across AWS, Azure, and Google Cloud.
- IT and data professionals transitioning into AI or cloud roles who need conceptual clarity before diving into tools.
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