Cloud Computing: Advanced Module

Cloud Computing: Advanced Module

Duration: Max 20 Hours
Mode: Online/Hybrid

Course Description:
The Advanced Cloud Computing course by SkillBee is designed for experienced professionals who want to master complex cloud environments and specialize in cloud strategy. This 25-30 hour course covers advanced topics such as cloud optimization, multi-cloud integration, and AI-driven analytics. Participants will engage with advanced tools and techniques, including serverless computing, container orchestration with Kubernetes, and deep integration with services like AWS Lambda and Google Kubernetes Engine.

Learners will also explore advanced security protocols, focusing on cloud compliance frameworks and the latest in threat detection. Hands-on labs will allow participants to develop automated, resilient cloud solutions, integrating machine learning models and data analytics for enhanced business intelligence. By the end of this course, learners will be prepared to design, deploy, and manage high-performance cloud environments, making them valuable assets in cloud architecture and engineering roles.

Modules Overview:

Module 1: Multi-Cloud and Hybrid Cloud Strategies

• Introduction to Multi-Cloud Architectures: Benefits and challenges
• Hybrid Cloud Integration: Connecting on-premise and cloud environments
• Hands-On: Setting up a multi-cloud environment with AWS and Azure

Module 2: Advanced Networking and Connectivit

• Direct Connect and ExpressRoute: Secure connections to the cloud
• Content Delivery Networks (CDNs): Optimizing content delivery
• Hands-On: Configuring direct connections and setting up a CDN

Module 3: Serverless Computing and Containerization

• Introduction to Serverless Architecture: Using AWS Lambda, Azure Functions
• Container Orchestration with Kubernetes: Basics of Kubernetes and Docker
• Hands-On: Deploying a serverless function and containerized application

Module 4: Advanced Security and Compliance

• Advanced Threat Detection: Using services like AWS GuardDuty and Azure Security Center
• Encryption and Key Management: Managing keys with AWS KMS and Azure Key Vault
• Hands-On: Implementing threat detection and key management

Module 5: AI and Machine Learning in the Clou

• AI Services Overview: Introduction to AI tools on AWS, Azure, Google Cloud
• Integrating Machine Learning Models: Basics of training and deploying models
• Hands-On: Building a simple AI-powered application

Module 6: Capstone Project: Building a Scalable, Multi-Cloud Solution

• Project Planning: Define the scope for a large-scale cloud solution
• Implementation: Apply advanced networking, security, and AI features
• Final Presentation: Demonstrating a scalable, multi-cloud application