By completing this course, you will be able to:
Module 1: Fundamentals of AI and Cloud
Module 2: Introduction to Artificial Intelligence
Module 3: Fundamentals of Cloud Computing
Module 4: AI Services in the Cloud
Module 5: AI Model Development in the Cloud
Module 6: Cloud Infrastructure for AI
Module 7: Deployment and Integration
Module 8: Future Trends in AI and Cloud Integration
Module 9: Capstone Project
Optional Module: AI Agents for Cloud Computing
5 days
Practical learning includes:
Tools explored: TensorFlow, SHAP, Amazon S3, and AWS SageMaker.
Personalized Schedule one-on-one Expert Guidance Private Session – Just You & the Instructor Guaranteed-To-Run Tailored for Your Success
Learn Anytime, Anywhere Self-Paced & Interactive Budget-Friendly, High-Impact Smart Learning for Smart Professionals
Available Onsite / Online Team-Based Learning, Your Way Tailored for Business Goals Training That Grows With Your Team On-Demand Expert Instructors
AI workloads increasingly depend on cloud infrastructure for scalable computing, storage, model development, deployment, and access to managed AI services. AI+ Cloud Training helps professionals understand how to combine AI capabilities with cloud environments to build, deploy, and manage practical AI solutions.
You will learn how to develop and train machine learning models, configure cloud resources, work with cloud-based AI services, optimize models, manage AI data, deploy models, integrate APIs, and connect AI solutions with cloud applications. The training also includes practical projects and a real-world capstone.
Yes. The course introduces AWS, Microsoft Azure, and Google Cloud, along with cloud service and deployment models. Practical activities include cloud resource configuration, AI service integration, cloud data management, and AI model deployment, with tools such as Amazon S3 and AWS SageMaker explored during the training.
The program covers the complete workflow from AI model development and training to optimization, cloud infrastructure configuration, deployment, and application integration. You will also work with APIs, scalable cloud resources, data storage, and cloud-based AI services to understand how AI solutions can be moved from development into practical cloud environments.
The course is suitable for developers, IT professionals, cloud engineers, AI professionals, and professionals working with AWS, Azure, or Google Cloud who want to combine AI and cloud skills. A foundational understanding of AI and cloud computing, programming, data structures, algorithms, and basic machine learning mathematics is recommended. Familiarity with a major cloud platform is beneficial.
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