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Master Azure OpenAI Service, Microsoft Copilot, and enterprise Generative AI solutions. Build intelligent cloud applications with prompt engineering, RAG, and Responsible AI practices.
Master prompt engineering and LLM fundamentals through hands-on training, optimization techniques, and advanced architectures like RAG for real-world AI applications.
Discover how to integrate and deploy large language models within AWS infrastructure using Amazon Bedrock, security practices, and responsible AI governance for cloud engineers.
Master machine learning fundamentals with hands-on experience in supervised/unsupervised learning, data preparation, model optimization, and cloud deployment on AWS and Azure.
Discover AWS AI/ML fundamentals, SageMaker capabilities, and managed services for language, vision, speech, and automation through hands-on learning and practical applications.
Master neural networks, CNNs, and transfer learning through hands-on training and evaluation of deep learning models for real-world image classification problems.
Master Chef for DevOps: Learn configuration management, automate infrastructure, and enhance your career with hands-on labs and comprehensive modules covering Chef fundamentals, recipes, cookbooks, and AWS integration.
Deploy and manage container-based applications in AWS, analyze container services, and modernize web apps using ECS, EKS, and App2Container for efficient containerization and orchestration.
Explore AWS monitoring, logging, and governance tools to enhance application resilience, deploy serverless architectures, and implement compliance controls for effective cloud management.
Learn to automate AWS infrastructure using configuration management and Infrastructure as Code. Master tools like Systems Manager, OpsWorks, and CloudFormation for efficient resource provisioning and management.
Master CI/CD pipelines and deployment strategies in AWS, focusing on SDLC concepts, automation with ECS, and various deployment approaches for efficient software delivery.
Comprehensive guide to AWS network security, covering design, implementation, and management of secure architectures. Focuses on compliance, monitoring strategies, and optimization techniques.
Evaluate automation for network deployments, configure dynamic overlay networks, integrate Lambda with external systems, and optimize network operations using AWS tools and services.
Design and implement hybrid IT and AWS networks at scale. Learn VPC components, connectivity options, routing policies, and network optimization for efficient cloud infrastructure management.
Learn cost optimization strategies and security best practices for AWS, including EC2 pricing, IAM, data protection, and disaster recovery techniques.
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