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Download the source code to build full stack Spotify Clone Website Using React JS, Node JS, Express and MongoDB. It also includes project setup document and project setup video tutorial link to help you setup the project on your computer.

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This package provides you with resume and cover letter template used my me and my 50+ clients. These templates will enable you to navigate the UAE job markets with ease. While these templates can be used anywhere they are mostly beneficial for people who are looking for jobs in UAE, Canada, USA, Singapore, Ireland, UK, Luxembourg and Germany. These are actual resumes along with associated job descriptions and cover letter, this will allow you to understand how each resume has been customized based on the job description

What Senior ML Engineers Actually Look For When Hiring The No-BS Guide to Getting Hired in ML From Someone Who Actually Hires ML Engineers If you think knowing PyTorch and completing Andrew Ng’s course makes you hireable, this will hurt. But it’ll save you years of wasted effort.

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15 Live Hands-On DevOps, Cloud & AI Projects Bootcamp Mentor: DevOps Cloud AI Architect A focused live bootcamp built around 15 industry-grade DevOps, Cloud, and GenAI projects. Live on Zoom, fully interactive, with weekly doubt-clearing sessions and continuous WhatsApp support. Small batches (~25 learners) for personal attention. Who This Is For Professionals targeting roles like DevOps Engineer, Cloud Engineer, Platform Engineer, SRE, AI Engineer, or Cloud Architect. These are not YouTube-style mini-projects — every session is built on real-world enterprise use cases, simplified for clear understanding. Program Highlights 15 real industry projects based on actual corporate implementations Weekly doubt-clearing sessions + dedicated WhatsApp support Personal help when you're stuck — debugging and setup support Small group (~25 learners) for focused mentorship Lifetime access to presentations, source code, and recordings Join anytime — sessions run on a cyclic schedule, every project is standalone Repeat the program multiple times at no extra cost until you get your result Dedicated sessions on roadmap, resume, and interview prep using these projects Concepts apply to AWS, Azure, and GCP — not tied to one provider Prerequisites Basic knowledge of DevOps and Cloud technologies. Batch Format & Schedule Mode: Live on Zoom — fully interactive, screen sharing and Q&A Project sessions: Every Saturday, 5:00 PM – 8:00 PM IST (~3 hours) — live coding, architecture walkthroughs, hands-on implementation Doubt-clearing sessions: Every Friday, 5:00 PM – 6:30 PM IST (~1.5 hours) — live debugging, concept clarification, issue resolution Each project is taught as a live, independent session — join anytime and catch up cyclically. The 15 Projects Project 1 — DevOps Kickstart: Agile Workflow & Team Collaboration Why: Real teams run on Agile and DevOps workflows — sprint planning, Git branching, PR reviews. Without this, you struggle from day one on the job. You will learn: Sprint planning and Jira workflows, GitFlow branching, PR reviews and code ownership, the CI/CD mindset, and the day-to-day reality of DevOps / Cloud roles. Stack: GitHub, Jira, Agile, CI/CD concepts, Slack. Project 2 — AI for DevOps: GitHub Copilot & AI-Assisted Automation Why: DevOps engineers are now expected to use AI tools to move faster. Knowing how to use Copilot for Terraform, Docker, and Kubernetes is becoming a baseline skill. You will learn: Copilot for Terraform / Docker / K8s, AI-assisted debugging, productivity automation, and how to set up the workstation of an AI-assisted DevOps engineer. Stack: GitHub Copilot, AI DevOps tools. Project 3 — Dockerized Microservices: Production-Ready Containers Why: Almost every modern app runs in containers. Building secure, optimised, multi-service Docker setups is a core DevOps skill. You will learn: Multi-stage Docker builds, image size optimization, secure Dockerfiles, and a multi-service app with Docker Compose. Stack: Docker, Dockerfile (multi-stage), Docker Compose. Project 4 — AWS Multi-Account Governance with Control Tower Why: Companies don't run on a single AWS account — they have separate accounts for dev, QA, prod, security, and billing. You need to set this up and govern it safely. You will learn: Build a secure multi-account landing zone with guardrails, SSO, and centralized billing. Stack: AWS Organizations, Control Tower, IAM Identity Center, SCPs, CloudTrail, Config. Project 5 — Enterprise CI/CD Pipelines with GitHub Actions Why: Manual deployments don't scale. Companies expect engineers to design CI/CD pipelines that build, test, scan, and deploy automatically. You will learn: Build–test–scan–deploy pipelines, self-hosted runners (real enterprise pattern), secrets and environment protection. Stack: GitHub Actions, Docker, self-hosted runners, Kubernetes. Project 6 — Terraform Foundations: Infrastructure as Code Why: Clicking in the cloud console doesn't scale and isn't repeatable. Real teams provision everything as code — versioned, reviewed, reproducible. You will learn: Modular Terraform design, remote state and state locking, and clean dev / stage / prod separation. Stack: Terraform, AWS, Remote State (S3 + DynamoDB). Project 7 — Terraform in CI/CD: Resilient Infrastructure Why: Writing Terraform is easy. Running it safely in CI/CD with rollback and drift handling is what separates juniors from seniors. You will learn: Terraform inside CI/CD pipelines, rollback-safe deployments, and drift detection and recovery. Stack: Terraform, GitHub Actions, Docker. Project 8 — Golden AMI Pipeline with Packer & Terraform Why: Enterprises don't launch random images in production. They use hardened, patched, standardised "golden" images so every server is secure and consistent. You will learn: Golden AMI creation, security hardening, and canary deployment strategy. Stack: Packer, Terraform, EC2, Ansible, CIS hardening. Project 9 — Managing 100+ Servers with Ansible Why: Real environments don't have 2 servers — they have hundreds. You need automation that handles scale and compliance, not SSH-and-pray. You will learn: Ansible roles and playbooks, dynamic inventory on AWS, and security and compliance automation. Stack: Ansible, dynamic inventory, SSH hardening. Project 10 — Kubernetes Production Cluster Deployment Why: Kubernetes is the default platform for microservices. Deploying real apps on it is what companies actually pay for — not just `kubectl run`. You will learn: Helm-based deployments, Ingress and services, autoscaling, and a secure scalable K8s architecture. Stack: Kubernetes, EKS, Helm, Ingress, HPA. Project 11 — GitOps with Argo CD Why: Modern teams don't deploy with manual kubectl — they deploy through Git. GitOps with Argo CD is now an interview-favourite topic. You will learn: Declarative deployments, sync strategies, and blue-green / canary releases. Stack: Argo CD, GitHub, Kubernetes, Helm, Kustomize. Project 12 — Monitoring & Observability Stack Why: You can't fix what you can't see. Every serious team invests heavily in metrics, dashboards, and alerts. You will learn: Metrics, dashboards, and alerts; SLOs / SLAs; and deployment-aware monitoring. Stack: Prometheus, Grafana, Loki, Alertmanager, CloudWatch, OpenTelemetry. Project 13 — Secure DevOps CI/CD (DevSecOps) Why: Security can't be bolted on at the end. Companies expect security checks, secret management, and image scanning baked into the pipeline. You will learn: Code quality gates, dependency and image scanning, secrets management, and a Dev → QA → Prod artifact promotion flow. Stack: Jenkins / GitHub Actions, SonarQube, Snyk, Trivy, HashiCorp Vault, GitHub Secrets, JFrog / Nexus / ECR, OWASP ZAP. Project 14 — GenAI Application with AWS Bedrock + LLM Agent Why: Every company is shipping GenAI features. Engineers who can build, deploy, and operate LLM-based apps are in very high demand. You will learn: Build an LLM-based API, set up CI/CD for AI applications, and apply MLOps practices to a production GenAI app. Stack: Amazon Bedrock, LangChain, API Gateway, Lambda, S3, Streamlit / React. Project 15 — AI-Powered Log & Incident Analysis (AIOps) Why: Production generates more logs and alerts than humans can read. LLMs are now used to triage incidents and suggest fixes — a key edge for modern SRE / DevOps engineers. You will learn: Use LLMs and ML to summarise logs, triage incidents, and suggest remediation. Stack: Python, OpenAI / AWS Bedrock, LangChain, OpenSearch / ELK, Prometheus, Slack / PagerDuty. For every project you get: presentations, source code, architecture diagrams, session recordings, and lifetime access. What You Walk Away With 15 industry-grade projects you can showcase on your resume and GitHub Confidence with the full modern DevOps + Cloud + GenAI + AIOps stack Clear understanding of how real engineering teams work Roadmap, resume, and interview-prep guidance built into the program FAQs Can I join anytime? Yes. Each session covers a standalone project, so you can start anytime and complete the cycle. Can I repeat the program? Yes — you can repeat the program multiple times at no extra cost until you are confident with every project. Will I get code and materials? Yes — all presentations, source code, and recordings are shared with lifetime access. Is there live interaction? Yes — sessions are on Zoom with full unmute and Q&A support. What if I face issues during projects? You get WhatsApp support and weekly live doubt sessions for troubleshooting. What if I miss a session? Watch recordings and ask doubts later — no extra cost. Is this cloud-provider specific? No. Concepts apply to AWS, Azure, and GCP. Demos primarily use AWS. Registration & Payment Register directly via this Topmate page (available worldwide). Backup payment options for India users: UPI: direct2sanjeev@icici UPI: 9888055959 15 real projects. Live mentorship. Lifetime access. Repeat until you succeed.Reserve your seat → https://topmate.io/cloud/786532

Welcome to the Climate Policy Toolkit for India This Climate Policy Toolkit2.0 is designed as a comprehensive resource for professionals, students, and anyone interested in the field of climate policy in India. Whether you're just starting out or are looking to deepen your understanding, this toolkit provides a curated collection of resources that will serve as your guide from Day 1. Aim of the Toolkit: Our aim is to offer a simple, accessible online resource for individuals across India. This toolkit serves as an excellent starter pack filled with curated information that aids in understanding and implementing climate-related strategies. Contents of the Toolkit: The toolkit includes a variety of resources to enhance your knowledge and skills in climate policy: ▶️International Reports ▶️National Reports ▶️State Action Plans ▶️Climate Finance ▶️Climate Tech ▶️Climate X AI ▶️MSME How to Use This Toolkit: We encourage you to take this toolkit and make it your own. Here’s how you can use it: Research: Utilize the reports and data available to conduct thorough research on various aspects of climate policy. Content Creation: Use the insights gained to create informative content that can educate and inspire others about climate change and policy. Continuous Learning: Stay updated with the latest in the field and expand your knowledge continuously through the resources provided. This toolkit is more than just a collection of resources—it's a starting point for your journey in making a significant impact in the field of climate policy. Dive in, explore, and add your resource while you move forward in your career.

🚀 The Ultimate Backend Engineering Interview Survival Guide Stop Memorizing Definitions. Start Solving Real-World Problems. Are you preparing for a backend developer or system design interview? Most guides just give you a list of definitions. This guide gives you engineering maturity. This is not just a list of questions— it is a practical masterclass designed to help you navigate the toughest technical questions with confidence. From database sharding to microservices patterns, we bridge the gap between theory and production-grade architecture. (Will be adding new questions every week) Sample FREE Pdf: https://shorturl.at/0MLxX ✅ Contains 200+ backend interview problems covering system design, databases, caching, message queues, APIs, microservices, and more. ✅ Covers 50+ essential topics including horizontal/vertical scaling, load balancing, CAP theorem, distributed systems, authentication, performance optimization, and deployment strategies. ✅ Detailed problem-solution format with step-by-step explanations, real-world examples, and color-coded keywords for quick reference. ✅ Organized by topics with clear visual separation, making it easy to navigate and revise specific concepts. ✅ Includes practical scenarios like when to use Redis vs Kafka, how to implement circuit breakers, database sharding strategies, and API security best practices. ✅ Contains trade-off discussions to help you make informed architectural decisions during interviews. What’s Inside? 🚀 A problem-solution list in concise point wise manner with easy examples covering 50+ essential topics across 8 core modules: Module 1: Core System Design & Scalability Master the foundations of distributed systems. Horizontal vs. Vertical Scaling Load Balancing Strategies High Availability & Fault Tolerance The CAP Theorem Graceful Degradation & Idempotency Module 2: Resilience & Reliability Ensure your systems stay up when traffic spikes. Circuit Breaker Patterns Rate Limiting & Throttling (Token Bucket, Leaky Bucket) Retry Logic & Exponential Backoff Distributed Tracing Chaos Engineering Module 3: Database Mastery Deep dive into data storage, consistency, and optimization. Database Indexing & Query Optimization Sharding & Partitioning Strategies Read Replicas, Replication & Connection Pooling ACID Transactions vs. Eventually Consistent Systems NoSQL Data Modeling & The N+1 Query Problem Consistent Hashing Optimistic vs Pessimistic Locking Zero-Downtime Database Migration Module 4: Caching & Performance Speed up your applications intelligently. Caching Strategies (Write-through, Write-back, etc.) The Cache-Aside Pattern Distributed Caching with Redis & Data Structures Redis Persistence Strategies (RDB vs AOF) Solving the Cache Stampede Problem CDN & Edge Caching Response Compression Strategies Bloom Filters Module 5: Event-Driven Architecture & Messaging Handle asynchronous tasks and high-throughput data. Kafka Architecture vs. RabbitMQ Patterns Event-Driven Design Principles & CQRS Pattern Dead Letter Queues (DLQ) Message Deduplication strategies ETL Pipelines & Stream Processing Module 6: APIs, Microservices & Security Build secure, decoupled, and scalable services. REST API Best Practices & Versioning GraphQL vs REST Trade-offs Authentication (OAuth 2.0, JWT) & Authorization (RBAC) API Gateway Patterns & Security SQL Injection Prevention Secret Management Microservices Communication & The Saga Pattern Serverless Architecture & Auto Scaling Module 7: Networking & Protocols Understand modern networking and protocol differences. HTTP/2 vs HTTP/3 Protocol Differences WebSocket Scaling Distributed Locks Implementation VPC Architecture Design Module 8: DevOps, Testing & Deployment Deploy safely and test effectively at scale. Blue-Green Deployments Load Testing Before Production Kubernetes HPA (Horizontal Pod Autoscaler) Chaos Engineering Practices Bulkhead Pattern Who is this for? Junior Devs looking to break into backend roles. Mid-Level Engineers aiming for Senior/Lead promotions. Anyone preparing for System Design interviews at top-tier tech companies. Don't let the system design round intimidate you. Sample FREE Pdf: https://shorturl.at/0MLxX OR Refer sample problem-solution format here: problem -> Interviewer: "How do you design an API which survivec 1 million requests per second" Solution -> 1 Million RPS isn't about code, it's about architecture. Here are the 8 key layers to scale your API architecture. 1️⃣ Load Balancer 👉 Distributes traffic across multiple servers so no single machine melts. Example: 1M req/s split across 200 servers = only 5k req/s each. ⸻ 2️⃣ Horizontal Scaling 👉 Add more servers when traffic spikes instead of upgrading one big server. Example: Black Friday? Spin up 50 more API nodes in seconds. ⸻ 3️⃣ Caching Layer 👉 Serve frequent reads from Redis/Memcached to avoid DB overload. Example: User profile cached → avoids 10M database hits/day. ⸻ 4️⃣ CDN for Static Content 👉 Images and static assets load from edge servers near the user. Example: A user in Delhi gets images from a Delhi CDN node. ⸻ 5️⃣ Async Processing (Queues) 👉 Push heavy tasks to Kafka/SQS so API responds instantly. Example: Payment API returns fast → receipt email sent in background. ⸻ 6️⃣ Database Sharding 👉 Split huge datasets across multiple DB shards to scale reads/writes. Example: Users A–M on shard 1, N–Z on shard 2. ⸻ 7️⃣ Rate Limiting 👉 Block or throttle abusive clients to protect server capacity. Example: “100 requests/sec limit” prevents bots from killing the API. ⸻ 8️⃣ Lightweight Payloads 👉 Reduce JSON response size to cut latency and bandwidth. Example: Return only “id, name, price” instead of 20 unnecessary fields.

🚀 Are you ready to start a successful career as a Business Analyst? How to Become a Business Analyst: A Comprehensive Guide to Techno-Functional Success is your ultimate resource for mastering both the technical and functional sides of BA work. This step-by-step eBook walks you through the key skills every Techno-Functional BA needs to thrive from business acumen to technical fluency and the soft skills that truly set great analysts apart. Whether you're just starting or looking to move up, this guide offers actionable strategies, tools, and tips to power your success.📊 Inside, you’ll discover: Essential technical + functional skills every BA should master How to navigate the hybrid world of a techno-functional BA 💡 Career-building advice tailored to your growth 🚀 Resume & interview prep tools to stand out How to stay sharp through continuous learning 📘 Additionally, this guide includes exclusive access to my Business Analyst training programs, one-on-one sessions via Topmate, and tailored career support for resume building, interview prep, and custom career paths. Whether you're aiming to land your first BA role or enhance your expertise, this eBook is your roadmap to success in the world of Business Analysis.🙌

17 PowerBI Interview questions and their answers asked during the Marsh McLennan Interview. process.

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Struggling to crack high-paying product company interviews? This eBook is your all-in-one prep companion. 300 Realistic Questions (70% coding, 30% theory) — from warm-up basics like == vs === to advanced challenges like deep cloning, polyfills, async utilities, and React performance tuning. System Design Prompts (LLD + HLD) — practice designing real UI systems like dashboards, chat apps, and scalable components. Structured by Difficulty — Easy → Medium → Hard, so you build confidence and then master tough problems. React-First Approach — hooks, context, state management, optimization, and everything companies expect you to know. Designed for junior to mid-level engineers targeting high paying PBCs. No fluff. No filler. Just the most asked questions and maximum value to land your next front-end role.

This is a fun playbook if you are a beginner and use Illustrator. I would recommend that you grab this and read it daily. Within 5 days you will learn all tools + their shortcuts and symbols. Along with their function. Sounds interesting? Go grab it.

You will have lifetime access to the evergreen techniques and strategies required for clearing interviews at all levels and for all industries. These chapters have practical prompts and scripts for answering questions. Chapters: Types of Interview Stages of Interview Elements of Competency Interview Technical Round Commercial Awareness HR Round (30+ questions and answers) Opening an Interview Salary Negotiations Accepting the Offer Rejecting the Offer Career Gap Career Transition Closing an Interview Strict Don'ts for an Interview How to structure your answers? Pressure Tactics used by Interviewers How to overcome Interview related Nervousness? Red Flags in an Interview How to Dress Up for an Interview? Interview Etiquette After the Interview Bonus Chapter: How to study the resume?

This sheet includes the financial modelling jobs posted by real people on linkedin. If you feel that you have been applying enough and not getting the revert on process or rejection you can try to connect with the people and ask status of your application. Here I aim to update the sheet preferably with a frequency that is between daily to weekly in hope of providing the opportunity to apply to everyone. Through this sheet you don't need to look for opportunities on Linkedin, many current listings are posted here you can just start applying and save your time!