AWS Certified Machine Learning Specialty (MLS-C01) Study Guide: Complete Learning Path
Master the AWS MLS-C01 exam! Complete study guide mapping our SageMaker tutorials to all exam domains with hands-on examples and certification strategies.
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AWS Solutions Architect Associate: Domain 5 - Define Operationally Excellent Architectures
Master Domain 5 of AWS Solutions Architect Associate. Learn operational excellence principles including Infrastructure as Code with CloudFormation/Terraform, monitoring with CloudWatch, automation with Systems Manager, and implementing well-architected best practices.
AWS Solutions Architect Associate: Domain 4 - Design Cost-Optimized Architectures
Master Domain 4 of AWS Solutions Architect Associate. Learn cost optimization strategies including reserved instances, savings plans, spot instances, resource right-sizing, storage optimization, and cost monitoring with AWS Cost Explorer and Budgets.
AWS Solutions Architect Associate: Domain 3 - Specify Secure and Compliant Architectures
Master Domain 3 of AWS Solutions Architect Associate. Learn to design secure architectures using IAM best practices, encryption strategies, network security, VPC configuration, and compliance frameworks like HIPAA, PCI-DSS, and SOC 2.
AWS Solutions Architect Associate: Domain 2 - Define Performant Architectures
Master Domain 2 of AWS Solutions Architect Associate. Learn to select appropriate database solutions, implement caching strategies, optimize content delivery, and design performant architectures using CloudFront, ElastiCache, and RDS optimization techniques.
AWS Solutions Architect Associate: Domain 1 - Design Resilient Architectures
Master Domain 1 of the AWS Solutions Architect Associate exam. Learn to design resilient architectures using multi-AZ deployments, Auto Scaling groups, elastic load balancing, and fault-tolerant patterns. Understand RTO/RPO and backup strategies.
AWS AI Practitioner Exam Preparation: Complete Study Guide
Prepare for the AWS AI Practitioner certification with this comprehensive study guide. Learn about AI/ML fundamentals, AWS AI services, generative AI, and responsible AI practices with detailed explanations and practical examples.