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CI/CD and DevOPS Interview Kit

The CI/CD and DevOps Interview Kit is designed for professionals with 3 -15+ years of experience who want to master enterprise DevOps practices, automate software delivery pipelines, and confidently crack interviews at top companies including Microsoft, Amazon, Google, Deloitte, Accenture, Infosys, Cognizant, Capgemini, EY, PwC, IBM, Oracle, TCS, HCL, Wipro, and many more.<div> Unlike theoretical courses, this Interview Kit focuses on real production projects, scenario-based interview questions, hands-on labs, and enterprise CI/CD implementations used by modern engineering teams. It covers the topics below thoroughly:-</div><div> DevOps Fundamentals: Covers DevOps principles, Agile integration, CI/CD lifecycle, GitOps, and modern deployment strategies like blue, green, canary, rolling, and feature flags. Version Control: Explores Git fundamentals, major platforms (GitHub, GitLab, Azure Repos, Bitbucket), branching strategies, merges, pull requests, conflict resolution, and best practices. CI/CD Pipeline Development: Focuses on building pipelines with Azure DevOps, GitHub Actions, Jenkins, GitLab CI/CD, YAML, multi stage flows, automation, release management, and secure deployments. Containers & Kubernetes: Provides hands-on knowledge of Docker (images, Dockerfile, Compose) and Kubernetes (architecture, pods, deployments, services, secrets, ingress, Helm charts). Infrastructure as Code: Teaches IaC tools like Terraform, ARM, Bicep, and Ansible, along with automation, provisioning, state management, modules, variables, and workspaces. Cloud DevOps: Covers Microsoft Azure services, Azure DevOps, App Service, AKS, storage, Key Vault, monitoring, container registry, plus AWS and GCP fundamentals. Monitoring & Logging: Introduces Prometheus, Grafana, Azure Monitor, Application Insights, ELK Stack, Splunk, log analytics, alerting, performance monitoring, and health checks. Security & DevSecOps: Focuses on secure CI/CD, secret management, SonarQube, SAST/DAST, dependency scanning, container/image security, compliance, and policy enforcement. Scenario-Based & Architectural Thinking: Covered real-world scenario-based questions and provided architecture-level solutions for DevOps.</div>

₹399.00 View course

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DBT Data Engineer Interview Kit

The DBT Data Engineer Interview Kit is designed for professionals with 3-12+ years of experience who want to master real-world data transformation concepts, hands-on development, and scenario based interview questions used by top companies including Deloitte, Accenture, TCS, Capgemini, Cognizant, Infosys, EY, PwC, KPMG, HCL, Wipro, Amazon, Microsoft, and many more. Unlike theoretical courses, this Interview Kit focuses on real production use cases, live project scenarios, and hands-on coding exercises that interviewers expect experienced Data Engineers to know.<div>It covers the topics below thoroughly:-</div><div>DBT Fundamentals: Covers DBT architecture, core vs cloud, project setup, configurations, sources, models, materializations, macros, variables, hooks, documentation, exposures, and metrics. Advanced Data Transformation: Explores incremental models, SCD types, surrogate keys, deduplication, CDC, cleansing, standardization, dimensional modeling, schema design, Data Vault, and Medallion pipelines. DBT Testing: Focuses on generic, custom, and singular tests, source validation, data quality checks, freshness monitoring, and automated validation frameworks. Performance Optimization: Teaches incremental processing, partitioning, clustering, query tuning, model optimization, cost control, and dependency management. CI/CD & DevOps: Covers Git integration, GitHub, Azure DevOps, Bitbucket, deployment pipelines, environment promotion, and production release strategies. DBT + Snowflake Integration: Explains warehouse optimization, dynamic tables, streams, tasks, zero copy clone, time travel, secure views, row access, masking policies, and real time projects. DBT Project: Guides building a complete enterprise data warehouse with customer, sales, product, finance, inventory, and order analytics, plus dashboards, error handling, audits, and deployment. Hands On Programs Part1: Provides practice with production ready coding exercises including cleansing, null handling, deduplication, transformations, calculations, window functions, ranking, and aggregations. Hands On Programs Part2: Covers incremental models, snapshots, SCD Type 2, fact/dimension tables, surrogate keys, source validation, DBT tests, macros, Jinja, dependencies, audits, logging, and optimization. Data Transformation Programs Part1: Focuses on source to target mapping, pipeline creation, staging, cleansing, standardization, joins, lookups, aggregations, and derived columns. Data Transformation Programs Part2: Explores business rules, incremental loads, CDC, SCD types, surrogate keys, fact/dimension pipelines, validation, error handling, audits, reusable nodes, scheduling, deployment, and Snowflake integration. Scenario Based & Architectural Thinking: Covers real world scenario based questions and provides architecture level solutions using DBT.</div>

₹399.00 View course

Recommended

GenAI Interview Kit

Master Generative AI through Real-World Projects, Scenario-Based Interview Questions, and Hands-On Coding Exercises. The GenAI Interview Kit is a comprehensive, industry-focused program designed to help professionals gain practical expertise in Generative AI while preparing for real-world interview scenarios used by leading organizations.<div><div>It covers the topics below thoroughly:-</div><div> </div><div>Generative AI Fundamentals: Introduces generative AI concepts, LLM architectures, transformer models, prompt engineering, and fine tuning techniques. Large Language Models (LLMs): Explains tokenization, embeddings, context windows, sampling parameters, hallucination challenges, and model evaluation methods. Prompt Engineering: Covers zero shot, few shot, chain of thought, ReAct, role based prompting, and optimization strategies for effective outputs. Retrieval Augmented Generation (RAG): Focuses on document processing, chunking, vector databases, similarity and hybrid search, RAG design, and performance tuning. Agentic AI & Multi Agent Systems: Explores AI agents, tool/function calling, autonomous workflows, multi agent collaboration, memory management, and LangGraph pipelines. GenAI Application Development: Teaches building applications with LangChain, LangGraph, OpenAI APIs, LlamaIndex, vector databases, Streamlit, and FastAPI. AI Solution Architecture: Covers enterprise AI architecture, scalable RAG solutions, cost optimization, governance, responsible AI, and monitoring practices. Project1: Enterprise Document Q&A Chatbot: Builds a RAG powered chatbot for document search, semantic retrieval, and source citation using Python, LangChain, and ChromaDB. Project2: AI Resume Screening Assistant: Automates resume parsing, candidate ranking, job matching, and skill gap analysis for recruiters. Project3: Customer Support AI Assistant: Delivers AI powered support with FAQ automation, sentiment analysis, and ticket summarization to reduce workload. Project4: Financial Research Copilot: Provides financial report summarization, risk analysis, market insights, and AI driven research assistance. Scenario-Based & Architectural Thinking: Covered real-world scenario based questions and provided architecture level solutions using GenAI.</div></div>

₹399.00 View course

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Azure Cloud Professional Interview Kit

Take your cloud career to the next level with the Azure Cloud Professional Interview Kit, a comprehensive learning and interview preparation program designed for Cloud Engineers, Azure Administrators, DevOps Engineers, Solution Architects, Infrastructure Engineers, and IT Professionals seeking to excel in Microsoft Azure.<div> This premium kit combines Azure fundamentals, cloud architecture, networking, security, governance, automation, DevOps, real-world implementation scenarios, and interview-focused Q&A to help you confidently tackle technical interviews and enterprise cloud projects.<div>It covers the topics below thoroughly:-</div><div> </div><div>Azure Core Services & Architecture: Covers regions, availability zones, resource groups, virtual machines, storage, app services, and cloud architecture best practices. Azure Networking & Connectivity: Explains VNets, subnets, NSGs, load balancers, DNS, traffic management, and hybrid connectivity with VPN and ExpressRoute. Security, Identity & Governance: Focuses on Entra ID, RBAC, managed identities, Key Vault, Defender for Cloud, compliance, and policy enforcement. DevOps & Automation: Covers Azure DevOps, CI/CD pipelines, Infrastructure as Code (ARM, Bicep, Terraform), automation accounts, and deployment strategies. Monitoring & Performance Optimization: Introduces Azure Monitor, Log Analytics, Application Insights, cost optimization, performance tuning, and high availability strategies. Cloud Architecture & Solution Design: Explores the Well Architected Framework, scalability patterns, disaster recovery, microservices, and real world cloud design scenarios. Data & Integration Services: Covers ADF, Event Hub, Service Bus, storage integration, API management, and modern data platform architectures. Scenario-Based & Architectural Thinking Covered real-world scenario based questions and provided architecture level solutions using Azure Cloud.</div></div>

₹399.00 View course

Recommended

Databricks & Pyspark Data Engineer Interview Kit

Accelerate your Data Engineering career with the Databricks & PySpark Data Engineer Interview Kit, a comprehensive interview preparation and learning program designed for aspiring and experienced Data Engineers, ETL Developers, Analytics Engineers, Big Data Professionals, and Cloud Data Architects.<div> This all-in-one kit combines Databricks Lakehouse architecture, PySpark development, Delta Lake implementation, real-world data engineering scenarios, optimization techniques, and interview-focused Q&A to help you confidently succeed in technical interviews and enterprise data projects.<div>It covers the topics below thoroughly:-</div><div> </div><div>Spark Architecture & Execution Model: Explains Spark architecture, RDDs, DataFrames, lazy evaluation, DAG execution, and the difference between transformations and actions. Data Transformation using PySpark: Covers selecting, filtering, column transformations, cleansing, string/date functions, null handling, and conditional logic. Advanced Transformations: Focuses on joins, aggregations, window functions, ranking, deduplication, and pivot/unpivot operations. Complex Data Processing: Teaches handling JSON, XML, nested structures, arrays, maps, and semistructured data transformations. Advanced PySpark Development: Explores UDFs, Pandas UDFs, broadcast variables, accumulators, reusable frameworks, and dynamic pipelines. Databricks Lakehouse Engineering: Introduces Databricks workspace architecture, clusters, orchestration, notebooks, and Git integration. Delta Lake: Covers ACID transactions, time travel, merge/upsert, CDC, schema evolution, and data versioning. Medallion Architecture: Explains bronze, silver, and gold layers, incremental processing, and enterprise data quality frameworks. Unity Catalog & Governance: Focuses on governance, lineage, access control, security, and enterprise data sharing. Project 1 Retail Sales Analytics Platform: Builds an end to end sales analytics solution with Delta Lake, gold layer reporting, and business dashboards. Project 2 Banking Transaction Processing System: Designs a scalable banking system with ingestion, fraud detection prep, CDC, historical data, and regulatory reporting. Project 3 Healthcare Data Platform: Develops a secure healthcare solution with HIPAA compliance, quality checks, audit tracking, and analytics datasets. Project 4 IoT Streaming Analytics Platform: Implements a streaming architecture using Kafka, Databricks Structured Streaming, Delta Live Tables, and real time dashboards. Scenario-Based & Architectural Thinking: Covered real-world scenario based questions and provided architecture level solutions using Databricks and PySpark.</div></div>

₹399.00 View course

Recommended

Solution Architect Interview Q&A Kit

Elevate your architecture expertise with the Solution Architect Interview Q&amp;amp;amp;amp;amp;amp;amp;A Kit, a comprehensive learning and interview preparation program designed for aspiring and experienced architects, technical leads, consultants, and senior engineers. <div> </div><div>This kit provides a structured roadmap covering enterprise architecture principles, system design, cloud architecture, security, integration patterns, governance frameworks, and real-world architectural decision-making.</div><div>It covers the topics below thoroughly:-</div><div> Software Architecture Fundamentals: Explains common architecture patterns including multi tier, microservices, and event driven designs, along with their benefits, challenges, and selection criteria. Architecture Implementation Methods: Covers distributed systems, REST APIs, load balancing, FastAPI development, message brokers, streaming pipelines, IoT processing, and microservices. Architecture & System Design: Focuses on large scale system design, monolith vs microservices, scalability, CAP theorem, resilience, caching, database design, security, and disaster recovery. Solution Architect: Explores enterprise, solution, technical, application, data, cloud, integration, DevOps, and platform architectures with governance and best practices. Data Architecture: Covers ETL vs ELT, data lake vs warehouse vs lakehouse, Medallion architecture, CDC, ACID properties, keys, and modern data engineering practices. Architecture Governance: Explains governance fundamentals, decision management, compliance, agile/DevOps integration, metrics, auditing, and best practices for accountability. Solution Architecture & TOGAF: Introduces TOGAF fundamentals, ADM phases, governance, cloud native architecture, migration scenarios, CRM use cases, and enterprise leadership practices. Data Modelling: Covers conceptual, logical, and physical data models, ER diagrams, semantic layers, industry frameworks, and modern architecture design with Azure, Databricks, and Snowflake. Performance & Optimization: Focuses on ETL optimization, concurrency, partitioning, caching, CDN, database tuning, latency reduction, monitoring, and event driven reliability. Security: Explains authentication, authorization, IAM, encryption, zero trust, secrets management, secure architecture, and cloud governance. Integration & APIs: Covers API fundamentals, styles, accessibility, REST vs GraphQL, versioning, event streaming, integration patterns, and best practices. DevOps & Deployment: Explores CI/CD fundamentals, deployment strategies, IaC, Docker/Kubernetes, rollback methods, tools, and DevOps best practices. Cloud & Infrastructure: Covers cloud provider selection, VPCs, serverless computing, cost optimization, multi cloud strategies, hybrid architecture, automation, and security governance. Scenario-Based & Architectural Thinking: Covered real-world scenario based questions and provided architecture level solutions using industry based methodologies.</div>

₹399.00 View course

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CI/CD and DevOPS Interview Kit

DBT Data Engineer Interview Kit

GenAI Interview Kit

Azure Cloud Professional Interview Kit

Databricks & Pyspark Data Engineer Interview Kit

Solution Architect Interview Q&A Kit