Amazon Web Services (AWS) Certified - 5 Certifications!

Explore AWS AI use cases across computer vision, NLP, IDP, and fraud detection, and see how generative AI, Bedrock, and SageMaker Jumpstart enable rapid application development.

Identify business objectives and translate them into machine learning problems, guiding data processing, model development, deployment, monitoring, and MLOps with SageMaker and Data Wrangler.

Build and train a machine learning model in SageMaker Studio Canvas using a tabular e-commerce dataset via Data Wrangler, evaluate with precision, recall, F1, and AUC-ROC, and generate predictions.

Explore the generative AI development lifecycle from defining business use cases to prompt engineering, retrieval augmented generation, and fine tuning, then responsible deployment and evaluation.

Learn how vector embeddings power semantic search and how to store them in vector databases. Implement Rag with AWS services like OpenSearch and Bedrock.

Launch an Amazon Linux ec2 instance, install node.js and express, enable ip forwarding from port 80 to 8080 with a security group, then create and copy a custom ami.

Explore S3 access control lists and bucket policies in this hands-on demonstration, showing how to create, edit, and apply fine-grained JSON bucket policies with policy generator, ARNs, and ACL differences.

Learn to migrate an Oracle database to Amazon Aurora using the AWS Database Migration Service, configuring security groups and RDS endpoints, setting up a replication instance, and mapping targeted tables.

Explore Amazon DynamoDB's features, including tables, items, primary keys, and secondary indexes, and compare queries vs scans. Learn about DynamoDB streams, DAX, TTL, and provisioned throughput for performance.

Learn to use CloudFormer to generate a CloudFormation template from existing resources and deploy a stack creating a DynamoDB table, with the template stored in S3.

Design and deploy a public subnet in a VPC with CloudFormation Designer by attaching an internet gateway, configuring a route to 0.0.0.0/0, and updating the stack.

Design and deploy a WordPress web server in a VPC by creating a security group, configuring ingress rules, and using CloudFormation Designer to launch EC2 in a public subnet.

Launch and deploy a node.js Express app on an OpsWorks stack, using a Chef recipe and infrastructure as code to define layers, instances, and GitHub-hosted deployment.

Build a CI/CD pipeline by connecting GitHub to CodePipeline and deploying to Elastic Beanstalk via webhooks. Verify deployments and clean up resources to avoid costs.

Discover how the AWS API gateway provides a secure, serverless front door to data via lambda. Route 53 and CloudFront enable fast, low-latency dynamic apps.

Learn to create a KMS encryption key in the IAM management console and apply it to S3 bucket default encryption to secure uploads and automatic decryption on download.

Create a Cognito user pool, configure sign-in with username and email, set attributes and verification, and set up an app client and domain, then explore federated identities and Cognito sync.

Discover how to implement AWS Cognito sign-up with the AWS JavaScript SDK, configure user and identity pools, handle attributes including a custom LinkedIn field, and manage email verification.

Learn to configure an authenticated cognito identity pool with s3 access and cognito sync, create a sync database by listing records, obtain a sync token, and update user-specific records.

Clean up resources by deleting identity pool, user pool domain, user pool, and S3 bucket, then optimize the AWS JavaScript SDK with Webpack to include only Cognito and S3.

Build a serverless JavaScript application hosted on S3 and fronted by CloudFront, using Login with Amazon to obtain federated temporary credentials for DynamoDB read and write.

Create and test a Node.js lambda function in the AWS lambda console, edit with your own code, and verify the invocation by inspecting CloudWatch logs.

Design and implement a Node.js based order workflow using AWS Lambda functions and AWS Step Functions to orchestrate receive order, check stock, order stock, deliver order, and build customer.

Extend continuous integration and delivery on AWS by building with npm, testing with mocha in CodeBuild, and deploying artifacts to Elastic Beanstalk via CodePipeline.

Learn to monitor a nodejs app with the AWS X-Ray SDK integrated in Elastic Beanstalk, using the X-Ray daemon on EC2, with IAM permissions and sampling rules for trace data.

Create a nodejs server on EC2 Linux by configuring IAM users, roles, security groups, and a bash bootstrap; install NodeJS, AWS SDK, deploy via SFTP, and create an AMI.

Configure security groups in an advanced vpc to control inbound and outbound traffic between elb, web servers, database, nat, and bastion, using http and https and internal sg references.

Implement a network load balancer with an auto scaling group of EC2 instances using a TCP target group on port 80, with CPU-based scaling and health checks.

Learn how AWS ElastiCache Redis enables in-memory caching to reduce database load, and manage session state, and follow a hands-on lab to create a Redis cluster and configure security groups.

Explore five well-architected pillars—security, reliability, performance, cost optimization, and operational excellence—through scalable, automated, data-driven architecture design and reference architectures.

Explore AWS Direct Connect, a dedicated link between on-premises networks and AWS. Create a connection in management console, download the letter of authorization, and configure public or private virtual interfaces.

Enable ec2 detail monitoring, view CloudWatch metrics across regions, build a cpu utilization dashboard with markdown text widgets, and create CloudWatch events to trigger actions.

Learn how EC2 auto scaling and the AWS application auto scaling service extend elasticity to databases, Lambda, and more, using launch templates, health checks, and scaling policies.

Configure security groups in the backspace lab VPC to manage traffic between the ELB, web servers, database, NAT, and Bastion, using inbound and outbound HTTP/HTTPS rules.

Launch an internet-facing application load balancer across public subnets and AZs, routing traffic to a private auto scaling group using a Bitnami LAMP AMI with HTTP 80 and health checks.

Deploy a multi-az Aurora serverless cluster across two private subnets in a VPC with a DB subnet group, presenting a single endpoint and pausing compute when idle to save costs.

Explore elastic load balancer concepts, including the ELB classic type, SSL termination, AWS Certificate Manager certificates, health checks, cross-zone load balancing, sticky sessions, and monitoring.

Learn to deploy a network load balancer in front of an auto scaling group of EC2 instances, using a TCP target group with health checks and CPU-based scaling policies.

Master encryption on AWS by distinguishing symmetric and asymmetric methods, using KMS, CloudHSM, Secrets Manager, and AWS encryption SDK, and applying envelope encryption for data at rest and in transit.

Learn hands-on EC2 troubleshooting for SysOps, including system and instance status checks, system logs and console screenshots, plus CloudWatch alarms and recovery actions to manage instances.

Monitor EC2 and ELB with CloudWatch metrics, enabling detailed monitoring, custom metrics, and alarms that auto stop, terminate, or reboot. Leverage ELB access logs, request tracing, and CloudTrail for visibility.

Explore the RDS monitoring options, including enhanced monitoring with real-time OS metrics, RDS events, downloading database log files, and Amazon Performance Insights, accessible via CloudWatch, SNS, CLI, API, or SDK.

Mastering RDS monitoring through CloudWatch metrics and enhanced monitoring, viewing logs and events, and exploring performance insights in Aurora PostGre SQL, including master and replica load by user.