🏃♂️ My solutions of 30-Day Leetcoding Challenge with cpp with multiple soultions...
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Updated
Apr 15, 2020 - C++
🏃♂️ My solutions of 30-Day Leetcoding Challenge with cpp with multiple soultions...
30-day challenge: AWS (Chandana) + Agentic AI (Punith). Daily notes, working code, and the beginner-to-advanced gotchas tutorials skip — Lambda, IAM, RAG, MCP, Bedrock, LangChain, and more.
Implementations of Data Structures and algorithms in C++
30-Day Terraform Challenge - Day 8: Building Reusable Infrastructure Modules. Demonstrates professional Terraform module development with multi-environment deployment for scalable web applications on AWS.
A template to print out for checking progress with 100 day challenges. Also customizables for shorter challenges such as 30 day projects.
Snowflake-focused bootcamp teaching cloud data warehousing and analytics for AI applications.
Python fundamentals bootcamp designed specifically for data science and artificial intelligence applications.
Build a new AI agent every day for 30 days. From zero to production multi-agent systems. LangGraph, CrewAI, OpenAI Agents SDK, Claude, MCP, A2A.
30-day intensive SQL bootcamp focused on data analysis and AI applications with practical exercises.
DevOps practices specifically tailored for data science and AI workflows with automation tools.
Rust programming bootcamp exploring systems programming applications in data science and AI contexts.
30-day open-source challenge: shipping a complete production-grade multi-agent AI system every day for 30 days.
Business-focused bootcamp on data strategy, governance, and organizational data transformation.
🚀 30-Day AI Engineering Challenge & Portfolio Platform | Built with React 19, TanStack Start, Tailwind CSS v4 & Gemini API
🚀 A 30-day JavaScript challenge journal with daily mini projects using HTML, CSS, and Vanilla JS. Each day focuses on learning a new concept with clean, interactive examples and source code.
30 data science projects in 30 days using SQL, Excel, Power BI, Python and ML
A 30-day daily practice log learning Python fundamentals.
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