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Google Cloud Platform (GCP) Course in Hindi with Project

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All Levels

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Master Google Cloud Platform (GCP) in Hindi with a practical, beginner-friendly approach. This course is designed for students, developers, system administrators, DevOps engineers, and IT professionals who want to build a strong foundation in cloud computing and Google Cloud services. Starting with cloud computing fundamentals, you will learn how GCP works, how to create and manage projects, and how to navigate the Google Cloud Console and CLI.

The course then moves into Compute Engine, where you will create virtual machines, host your first website, manage VM instances, and understand scaling concepts. You will gain hands-on experience with Google Cloud networking, including VPC fundamentals, network access management, and creating custom VPCs. The course also covers cloud storage solutions and static website hosting using Google Cloud.

For modern application deployment, you will learn the differences between App Engine and Cloud Run, deploy applications using both services, and understand Docker fundamentals required for cloud-native deployments. The database section introduces Cloud SQL, Fire store, and NoSQL concepts. You will also learn Identity and Access Management (IAM), cloud security best practices, CI/CD using Cloud Build, monitoring, logging, and cloud cost optimization techniques.

By the end of this course, you will be able to confidently create, deploy, secure, monitor, and manage applications on Google Cloud Platform using industry-standard tools and services.

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Duration: Self-paced

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Looking for the best data structures and algorithms Python course? This structured DSA course is designed for anyone preparing for LEETCODE challenges and technical coding interviews. With 117 hands-on coding exercises spread across 50 structured days, you'll master every essential data structure in Python and algorithm needed to ace your next interview.Student Testimonials:"Amazing Course" - Erick Odhiambo Otieno"I never seen the best course in this learning platform. It is the best course if you want to understand DSA to the core. you should try it guys. thanks a lot sir for this best course." - Nibru Kefyalew"Great course!" - Shay Keren"Very thorough and methodical" - Shahjamal Biswas"Very intuitive and in-depth! so far" - Nikhil Valse"A good explanation for this problem." - Bhuvan Akoju"So far good explanation on DS ,recursion and quizzes." - Anuradha Yadavalli"the instructor is very good at explaining and simplifying complex concept. this course cover all the DSA module in depth withs great examples" - RODRIGUE NGONGANG"excellent" - Neha Nayak"Awesomly attractive course!"- Dariusz Jenek"Great one" - Wilson Edafe"Excellent Teaching"- Ameeruddin Syed"It is an excellent platform !!" - Subhajit BeraAbout the Course:Welcome to the Data Structures and Algorithms Coding Interview Bootcamp with Python!The primary goal of this course is to prepare you for coding interviews at top tech companies. By tackling one problem at a time and understanding its solution, you'll accumulate a variety of tools and techniques for conquering any coding interview.Daily Data Structures and Algorithms Coding Challenges:The course is structured around daily coding challenges. Consistent practice will equip you with the skills required to ace coding interviews. For the next 40 days commit to yourself to practice atleast 2 coding interview questions everyday. You don't need any setup for this as the daily coding problem challenges can be solved in the coding environment provided by Udemy. The course will automatically track your progress and you just need to spend your time making actual progress everyday.Topics Covered:We start from the basics with Big O analysis, then move on to very important algorithmic techniques such as Recursion, Backtracking and Dynamic Programming Patters. After this we move to cover common data structures, and discuss real problems asked in interviews at tech giants such as Google, Meta, Amazon, Netflix, Apple, and Microsoft.For each question, we will:Discuss the optimal approachExplain time and space complexityCode the solution in Python (you can follow along in your preferred language)Additional Resources :The course includes downloadable resources, motivational trackers, and cheat sheets.Course Outline:Day 1: Arrays, Big O, Sorted Squared Array, Monotonic ArrayDay 2:Recursion,k-th symbol in Grammar,Josephus problemDay 3:Recursion, Tower of Hanoi, Power SumDay 4:Backtracking, Permutations, Permutations 2Day 5:Backtracking, Subsets, Subsets 2Day 6:Backtracking, Combinations, Combinations Sum 1Day 7:Backtracking,Combinations Sum 2,Combinations Sum 3Day 8:Backtracking,Sudoku Solver, NQueensDay 9:Dynamic Programming, Fibonacci, Climbing StairsDay 10:Dynamic Programming, Min Cost Climbing Stairs, TribonacciDay 11:Dynamic Programming, 01 Knapsack, Unbounded KnapsackDay 12:Dynamic Programming, Target Sum, Partition Equal Subset SumDay 13:Dynamic Programming, LCS, Edit DistanceDay 14:Dynamic Programming, LIS, Max Length of Pair Chain, Russian Doll EnvelopesDay 15:Dynamic Programming, Palindromic Substrings, Longest Palindromic Substring, Longest Palindromic SubsequenceDay 16:Dynamic Programming, Palindrome Partitioning, Palindrome Partitioning 2Day 17:Dynamic Programming, Word Break, Matrix Chain MultiplicationDay 18:Dynamic Programming, Kadane's algorithm - Max Subarray, Maximum Product SubarrayDay 19:Greedy Algorithms - Fractional Knpasack, Non overlapping IntervalsDay 20:Greedy Algorithms - Jump Game 1, Minimum # of arrows to burst baloonsDay 21:Greedy Algorithms - Two City Scheduling, Boats to Save peopleDay 22:Greedy Algorithms - Task Scheduler, Largest NumberDay 23:Greedy Algorithms - Gas Stations, Jump Game 2Day 24: Arrays, Rotate Array, Container with Most WaterDay 25: Hash Tables, Two Sum, Isomorphic StringsDay 26: Strings, Non-Repeating Character, PalindromeDay 27: Strings, Longest Unique Substring, Group AnagramsDay 28: Searching, Binary Search, Search in Rotated Sorted ArrayDay 29: Searching, Find First and Last Position, Search in 2D ArrayDay 30: Sorting, Bubble Sort, Insertion SortDay 31: Sorting, Selection Sort, Merge SortDay 32: Sorting, Quick Sort, Radix SortDay 33: Singly Linked Lists, Construct SLL, Delete DuplicatesDay 34: Singly Linked Lists, Reverse SLL, Cycle DetectionDay 35: Singly Linked Lists, Find Duplicate, Add 2 NumbersDay 36: Doubly Linked Lists, DLL Remove Insert, DLL Remove AllDay 37: Stacks, Construct Stack, Reverse Polish NotationDay 38: Queues, Construct Queue, Implement Queue with StackDay 39: Binary Trees, Construct BST, Traversal TechniquesDay 40:Pre order and In order Traversal of Binary Tree - IterativeDay 41:Post Order Traversal Iterative, Path Sum 2Day 42:Construct Binary Tree from Pre and In order Traversal ^In and Post order TraversalDay 43: Binary Trees, Level Order Traversal, Left/Right ViewDay 44:Level order Trav 2, ZigZag TraversalDay 45:Vertical order Traversal, Sum root to leaf numbersDay 46: Binary Trees, Invert Tree, Diameter of TreeDay 47: Binary Trees, Convert Sorted Array to BST, Validate BSTDay 48:Lowest common Ancestor of BST, Unique BST2Day 49:Lowest common Ancestor of Binary Tree, Unique BST1Day 50:Serialize and Deserialize Binary Tree, N-ary Tree Level Order TraversalDay 51: Heaps, Max Heap, Min Priority QueueDay 52: Graphs, BFS, DFSDay 53: Graphs, Number of Connected Components, Topological SortDay 54:Number of Provinces, Find if path exists in GraphDay 55:Number of Islands, Numbers with same consecutive differencesMy confidence in your satisfaction with this course is so high that we offer a complete money-back guarantee for 30 days! Thus, it's a totally risk-free opportunity. Register today, facing ZERO risk and standing to gain EVERYTHING.So what are you waiting for? Join the best Python Data Structures & Algorithms Bootcamp on Udemy.I'm eager to see you in the course.Let's kick things off! :-) Jackson

Advanced RAG Engineering: Build Production-Ready Enterprise

Udemy Instructor

This course contains the use of artificial intelligence.Move beyond basic Retrieval-Augmented Generation demos and learn how to design, build, evaluate, secure, and operate production-ready enterprise RAG systems.In this hands-on course, you will build an Enterprise Knowledge Intelligence Platform that evolves throughout the curriculum. You will begin with a baseline RAG application and progressively add advanced ingestion, chunking, retrieval, query enhancement, adaptive workflows, graph-based retrieval, multimodal document processing, evaluation, observability, security, and deployment capabilities.You will learn how to process PDFs, HTML, Office documents, spreadsheets, tables, and scanned files. You will compare fixed, recursive, structure-aware, semantic, hierarchical, and parent-child chunking strategies while preserving metadata, document versions, permissions, and source lineage.You will implement hybrid retrieval using keyword search, dense embeddings, metadata filters, Reciprocal Rank Fusion, and CPU-compatible cross-encoder re-ranking. You will improve retrieval relevance with query rewriting, multi-query generation, query decomposition, Hypothetical Document Embeddings, intent-preservation checks, and retrieval routing.The course also covers Self-RAG and Corrective RAG patterns. You will build bounded workflows that grade retrieved evidence, correct failed retrieval, verify generated answers, enforce retry limits, and return grounded no-answer responses when reliable evidence is unavailable.You will create a CPU-friendly GraphRAG pipeline for entity and relationship modeling, entity resolution, provenance, graph traversal, multi-hop retrieval, and hybrid graph-document search. You will also build a CPU-only multimodal retrieval workflow for OCR, layout-aware parsing, structured tables, figures, page-level search, and visual citations.To prepare the application for production, you will create golden evaluation datasets and measure Recall@K, Precision@K, MRR, nDCG, grounding, faithfulness, citation quality, latency, and workload. You will add local tracing, caching, context optimization, cost estimation, ACL-aware retrieval, tenant isolation, prompt-injection defenses, deletion workflows, CI/CD quality gates, and containerized deployment.All mandatory demonstrations and Hands on Labs run locally with open-source tools. No paid AI API, cloud account, managed database, or dedicated GPU is required.This course is designed for AI engineers, machine learning engineers, software developers, data engineers, platform engineers, solutions architects, MLOps professionals, and technical leads who already understand basic RAG concepts and want to build reliable enterprise AI systems.

Vector Databases & RAG Architecture: Practice Exams

Udemy Instructor

Are you fully prepared to tackle the advanced technical challenges of building production-grade generative AI applications and technical interviews? Welcome to the ultimate practice exam experience designed specifically for AI engineers, machine learning developers, and software architects seeking to validate and deepen their expertise in vector databases and Retrieval-Augmented Generation (RAG) architecture. As enterprises rapidly adopt large language models, the demand for professionals who master high-dimensional vector search, semantic embeddings, and context grounding has skyrocketed. This comprehensive practice test course bridges the critical gap between abstract theoretical knowledge and hands-on architectural problem-solving by immersing you in realistic, high-difficulty scenario-based questions. Throughout these exams, you will rigorously test your understanding of core vector indexing algorithms like Hierarchical Navigable Small World graphs and Inverted File Indexes, optimization techniques such as Product Quantization, and crucial similarity metrics including Cosine, Euclidean, and Dot Product calculations. Furthermore, you will evaluate complex enterprise scenarios involving advanced RAG workflows, hybrid keyword-vector search, cross-encoder re-ranking, token context window management, metadata payload filtering, and robust evaluation frameworks like RAGAS. Whether you are preparing for specialized AI certifications, upgrading your backend developer skill set, or getting ready for rigorous technical screening interviews at top-tier tech companies, these meticulously crafted practice questions will build your confidence and sharpen your troubleshooting abilities. Each question is accompanied by detailed explanations, breaking down why correct answers are valid and why alternative choices fall short in real-world distributed environments. Step up your artificial intelligence career today, eliminate LLM hallucinations through data grounding mastery, and prove your readiness to architect the next generation of intelligent search and retrieval systems.

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Google Cloud Platform (GCP) Course in Hindi with Project

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Google Cloud Platform (GCP) Course in Hindi with Project

About this course

Skills you'll gain

Available Coupons

Course Information

This course includes:

Share this course

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Data Structures and Algorithms in Python: DSA Course

Advanced RAG Engineering: Build Production-Ready Enterprise

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