aws

Master the AWS MLS-C01 exam! Complete study guide mapping our SageMaker tutorials to all exam domains with hands-on examples and certification strategies.

Unlock the power of computer vision! Learn image recognition algorithms from traditional ML to cutting-edge deep learning, with practical AWS SageMaker implementations.

Level up your SageMaker skills! Learn professional ML techniques with real datasets, feature engineering, model validation, and deployment best practices.

Master AWS SageMaker from scratch! Learn what it is, set up your first ML workspace, optimize costs, automate with Terraform, and build your first ML model with Jupyter notebooks.

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.

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.

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.

Master Domain 4 of the AWS AI Practitioner exam with this deep dive into AI ethics and responsible AI. Understand bias detection, fairness metrics, privacy protection, and ethical AI development practices.

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.

Master Domain 3 of the AWS AI Practitioner exam with this deep dive into generative AI. Understand foundation models, prompt engineering techniques, and AWS generative AI services with practical examples.

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.

Master Domain 2 of the AWS AI Practitioner exam with this deep dive into AWS AI services. Understand SageMaker, Rekognition, Comprehend, Polly, and other services with real-world examples and implementation guidance.

Master Domain 1 of the AWS AI Practitioner exam with simple explanations of AI/ML fundamentals. Understand supervised/unsupervised learning, data preparation techniques, common algorithms, and model evaluation metrics with real-world examples.

Deep dive into advanced AWS concepts including EC2 optimization, RDS performance tuning, Lambda best practices, VPC design patterns, IAM security strategies, and cost management. Learn production-ready architectures and common pitfalls to avoid.

Master AWS Machine Learning and AI services for the AWS Certified ML Specialty exam. Complete guide covering SageMaker, Bedrock, Comprehend, and more with practical examples and exam prep tips.

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.

Complete AWS Glue tutorial covering everything from basic concepts to advanced ETL pipelines. Learn Glue Studio, crawlers, Data Catalog, job authoring, and real-world implementation patterns.

Advanced ETL guide covering real-time data processing, machine learning integration, enterprise architectures, performance optimization, and governance. Learn to build scalable, intelligent data pipelines for modern enterprises.

Comprehensive guide to building ETL pipelines on AWS. Learn to use AWS Glue for managed ETL, Lambda for serverless processing, Step Functions for orchestration, and create complete cloud-based data workflows.

Master your Windows development environment! This comprehensive guide covers setting up PowerShell with profiles and modules, Git with SSH, Terraform and AWS CLI, VS Code configuration, and Windows package management with Chocolatey and winget. Perfect for Windows-native DevOps workflows.

Set up a secure development environment from the ground up! This comprehensive guide covers Git with SSH keys, Bash configuration, Terraform and AWS CLI setup, VS Code security configuration, and package management across macOS, Windows WSL, and Ubuntu LTS. Includes security-first practices, credential management, vulnerability scanning, and ongoing security maintenance to protect your development environment and production systems.

Master local AWS development with LocalStack! Learn how to install and configure LocalStack, create AWS resources locally, understand pricing tiers, and integrate with CI/CD pipelines. Includes practical examples and best practices.

A comprehensive collection of essential AWS CLI commands for DevOps engineers. Includes practical examples and use cases for EC2, S3, ECS, Lambda, and more!