Understand the building blocks of serverless event-driven systems on AWS: events, queues, retries, idempotency, dead-letter handling, monitoring and safe testing.
AWS Serverless Event-Driven Architecture: Lambda, EventBridge, SQS and Failure Handling Read More »
Apply the Well-Architected mindset to a beginner AWS project by reviewing security, reliability, performance, cost, operational excellence and sustainability.
AWS Well-Architected for Freshers: Security, Cost, Reliability and Monitoring Checklist Read More »
Learn how to approach AI coding agents on AWS with least privilege, approved procedures, review gates, observability and infrastructure-as-code validation.
AWS Agent Toolkit: AI Coding Agents and Safe Cloud Workflows Read More »
A safety-first introduction to building an agentic AI learning project on AWS, covering task boundaries, retrieval, tools, guardrails, monitoring, evaluation and cost control.
Agentic AI on AWS: Bedrock, Guardrails, Observability and Beginner Project Ideas Read More »
Create a reliable beginner data pipeline in Python: inspect raw CSV files, validate records, log exceptions, transform data and produce a reviewable report.
Python Data Pipelines: Clean CSV Data, Validate Records and Create Reliable Reports Read More »
Build a portfolio-ready FastAPI service with routes, validation, tests, error handling, OpenAPI documentation, configuration and a clear project README.
FastAPI Project for Freshers: Build, Test and Document a Production-Style API Read More »
Learn the engineering foundations behind reliable Python AI-agent experiments: APIs, tool boundaries, validation, logging, retries, approvals and careful evaluation.
Python for AI Agents: APIs, Tool Calling, Validation and Error Handling Basics Read More »
A practical learning guide for writing modern Python: dependable environments, readable types, tested functions, clear errors, dependency hygiene and maintainable projects.
Python 3.14 for Beginners: Modern Features, Typing and Safer Project Practices Read More »
Understand the evolving ABAP development-tool landscape and choose a learning approach based on supported project requirements, cloud readiness and verification practices.
Modern ABAP Development: Eclipse, SAP Build and the Move Toward VS Code Read More »
Explore a safe workflow for AI-assisted ABAP development: prompt with non-sensitive context, inspect generated code, test behavior and retain accountable code review.
ABAP AI Tools and Developer Productivity: Safe Use, Testing and Code Review Read More »
