Module #1 Introduction to Cloud Computing Overview of cloud computing, its advantages, and relevance to AI
Module #2 AI and Cloud Computing:A Perfect Match How cloud computing enables AI development and deployment
Module #3 Cloud Service Models:IaaS, PaaS, SaaS Understanding the different cloud service models and their applications in AI
Module #4 Cloud Deployment Models:Public, Private, Hybrid Understanding the different cloud deployment models and their applications in AI
Module #5 AWS Overview for AI Introduction to Amazon Web Services (AWS) and its AI services
Module #6 AWS SageMaker:Building, Training, and Deploying AI Models Hands-on experience with AWS SageMaker for building, training, and deploying AI models
Module #7 Google Cloud AI Platform:Overview and Services Introduction to Google Cloud AI Platform and its services for AI development
Module #8 Google Cloud AI Platform:AutoML, TensorFlow, and More Hands-on experience with Google Cloud AI Platforms AutoML, TensorFlow, and other services
Module #9 Microsoft Azure Machine Learning:Overview and Services Introduction to Microsoft Azure Machine Learning and its services for AI development
Module #10 Microsoft Azure Machine Learning:Azure Databricks, Cognitive Services, and More Hands-on experience with Microsoft Azure Machine Learnings Azure Databricks, Cognitive Services, and other services
Module #11 IBM Cloud:Watson Studio and AI Services Introduction to IBM Clouds Watson Studio and AI services for AI development
Module #12 Cloud-Based Data Storage for AI Understanding cloud-based data storage options for AI applications
Module #13 Cloud-Based Data Processing for AI Understanding cloud-based data processing options for AI applications
Module #14 Cloud Security and Compliance for AI Understanding cloud security and compliance considerations for AI applications
Module #15 Migrating AI Workloads to the Cloud Best practices for migrating AI workloads to the cloud
Module #16 Cloud Cost Optimization for AI Understanding cloud cost optimization strategies for AI applications
Module #17 AI-Driven Cloud Automation Using AI to automate cloud operations and management
Module #18 Cloud-Native AI Applications Designing and building cloud-native AI applications
Module #19 AI-Powered Cloud Orchestration Using AI to orchestrate cloud resources and services
Module #20 Cloud-Based AI for Computer Vision Using cloud-based AI services for computer vision applications
Module #21 Cloud-Based AI for Natural Language Processing Using cloud-based AI services for natural language processing applications
Module #22 Cloud-Based AI for Predictive Analytics Using cloud-based AI services for predictive analytics applications
Module #23 Cloud-Based AI for IoT Applications Using cloud-based AI services for IoT applications
Module #24 Cloud-Based AI for Edge Computing Using cloud-based AI services for edge computing applications
Module #25 Real-World AI Use Cases in the Cloud Exploring real-world AI use cases in the cloud across various industries
Module #26 Building a Cloud-Based AI Team Building a team to develop and deploy AI applications in the cloud
Module #27 Cloud-Based AI Ethics and Fairness Understanding AI ethics and fairness considerations in cloud-based AI applications
Module #28 Cloud-Based AI Governance and Risk Management Understanding AI governance and risk management considerations in cloud-based AI applications
Module #29 Case Studies in Cloud-Based AI Exploring real-world case studies of cloud-based AI applications
Module #30 Course Wrap-Up & Conclusion Planning next steps in Cloud Computing Platforms for AI career
