AWS Ninja

Get started with Node.js by using npm to manage dependencies, install tools, and set up a JavaScript development environment across Windows and other platforms.

Install and configure the serverless framework to build a backend, deploy Lambda functions and API Gateway, and manage programmatic access with AWS credentials for a scalable app.

Discover serverless architecture and how to deploy code without provisioning, with auto scaling and pay-per-use compute using function as a service, backed by managed services like S3, Lambda, and DynamoDB.

Learn to wire AWS Lambda with SNS by creating a new SNS topic and configuring an environment variable. Test messaging that stores posts in the database and enables video playback.

Build a production-ready web app, create a distribution, and deploy to an S3 bucket with static website hosting enabled, public access, and a bucket policy, with API Gateway integration.

Learn how to build a backend with the serverless framework, deploying three lambda functions, api gateway endpoints, and supporting resources like s3 buckets and dynamodb via cloud formation.

Explore the evolution from traditional data warehouses to data lakes, Hadoop, and cloud-based architectures, and learn how storage and processing split enables analytics at scale.

Build a near real-time data pipeline using lambda architecture, streaming clickstream data to Genesis, processing with lake and Glue, querying with Athena, and visualizing in quick site via Airflow.

Explore visualizing data with AWS QuickSight by creating accounts, connecting data sources, building simple visualizations like bar charts, and publishing dashboards with basic permissions.

Explore near real-time data pipelines using AWS services like kinesis and firehose, with glue data catalog, crawlers, cognito, presto, and quick sight, plus batch processing and data transformation.

Provision an IAM role, security group, and S3 bucket to run Airflow on an EMR cluster, then deploy startup scripts and Livy REST API integration.

Set up an RDS instance for airflow using Postgres, configure a username and password, enable password authentication, make it publicly accessible, and note the endpoint for the next lecture.

Learn to design and run a data pipeline with Airflow, EMR, and Livy, including cluster creation, transformation, spark sessions, and batch execution.

Differentiate artificial intelligence, machine learning, data science, and examine supervised, unsupervised, and reinforcement learning with neural networks powering deep learning. See how these techniques solve problems with models and classification.

Master the machine learning lifecycle from problem framing to model deployment, including data preparation, feature engineering, and training versus testing with evaluation metrics.

Explore how a neural network mimics the brain, from perceptron inputs to deep networks and CNNs, and learn how activation functions, loss, learning rate, and backpropagation drive training.