119 digital products for Software engineering

📘Ebook Name :- Fundamental Of Electrical Engineering (A Beginner's Guide) ✍️Format :- PDF 🉑Language :- Hindi (With English Text) ➡️Number of Page :- 55 PDF Me Topic ✅ ✅ Introduction ✅ Electrical Circuits ✅ Electrical Current ✅ Electrical Voltage ✅ Electrical Resistance ✅ Electrical Power ✅ Electrical Energy ✅ Measuring Instrument ✅ Electrical Safety All Electrical Fundamental Chapter (0 to advance) Knowledge. Note:- PDF buy karne ke baad download karne ke liye jis browser me Link open karoge udhar se hi download hoga.

E- books Collection 📚500+ Software Engineer

Whether you're a beginner looking to start a career in data engineering or a professional aiming to transition into this field, this guide has you covered. It covers everything from the core concepts and responsibilities of a data engineer to the key distinctions between data engineering and other data roles. You'll also gain insights into the importance of data engineering in today's data-driven organizations. One of the standout features of this guide is its comprehensive framework, which breaks down data engineering into six pillars. You'll explore each pillar in detail. The guide also provides a curated list of recommended learning resources to deepen your knowledge and skill set. This book Will answer all of your questions. If it doesn't let me know. I will add those questions and answer them.

✅ SQL & Database Design ✅ Data Modeling & ETL ✅ Big Data Technologies ✅ Data Warehousing ✅ Cloud Platforms & Tools ✅ Azure Data Factory ✅ Data Quality & Governance ✅ Programming & Scripting (Python/Shell) ✅ Scenario-Based Problem Solving ✅ Behavioral & Team Collaboration ✅ Advanced & Emerging Topics ✅ Cloud Data Engineering – AWS/GCP/Azure ✅ ETL vs ELT, Ingestion & Cleansing ✅ Data Validation & Observability ✅ Cross-DB & Cross-App Joins ✅ Orchestration & DataOps (Airflow/dbt) ✅ GenAI in Data Engineering ✅ Business Use Cases & Domain Scenarios ✅ DevOps, Testing, Security & Modern Stack ✅ AI-Augmented Engineering & Strategy 💡 Use ChatGPT to instantly answer and master them all. 🎯 501+ Interview Questions. Curated. FREE. Real.

A 28 Page All out Resources that will Provide you with all you need to know about Introductory Prompt Engineering. This Deck Includes: a) Configuring System Messages in ChatGPT b) Prompt Design Patterns like Persona/ Forecasting/ Refusal breaker c) Prompt Engineering Techniques like, Self-Consistency/ Chain of Thoughts/ Few Shot/ Knowledge Generation d) Resources at the end to link with Multiple Research Documents/ Blogs that would be immensely helpful in studying the whys and how's of Prompt Engineering. e) 10+ Extensive Exercises to Help you Practice Writing Good Prompts, and their solutions

"Prompt Engineering Best Practices for Instruction-Tuned LLM" is a comprehensive guide designed to equip readers with the essential knowledge and tools to master the fine-tuning and prompt engineering of large language models (LLMs). The book covers everything from foundational concepts to advanced applications, making it an invaluable resource for anyone interested in leveraging the full potential of instruction-tuned models. The first part, Introduction to LLM Instruction Fine Tuning, offers a deep dive into the core concepts behind instruction fine-tuning. As LLMs become increasingly critical in various industries, understanding how to tailor them to specific tasks is vital. This section introduces readers to the nuances of single-task versus multi-task fine-tuning, scaling these models, and evaluating their performance, culminating in a hands-on guide for applying instruction fine-tuning to summarization tasks. The second part, Prompt Engineering Guide & Best Practices, shifts focus to the art of crafting effective prompts. Prompt engineering allows users to control how LLMs respond, making it essential to ensure precision and reliability. This part covers everything from basic prompt design to more complex techniques like Chain of chain-of-thought reasoning, transforming text, and iterating on prompts for enhanced results. Each chapter is filled with actionable strategies for optimizing prompts across diverse use cases, ensuring LLMs are used to their full potential. In the final part, Building Projects with Prompt Engineering, the book moves from theory to practice, guiding readers through the development of real-world LLM-powered applications. From creating intelligent chatbots to designing end-to-end customer service systems, this section provides step-by-step instructions to turn prompt engineering concepts into functional, deployable tools. Table of Contents: Part I: Introduction to LLM Instruction Fine Tuning Overview of Instruction Fine Tuning Single Vs Multi-Task LLM Instruction Fine-Tuning Overview of Scaling Instruction-Tuned LLMs How Can We Evaluate Instruction Tuned LLM? Instruction Fine-Tuning LLM for Summarization: Step-by-Step Guide Part II: Prompt Engineering Guide & Best Practices Prompt Engineering Guidelines Iterative Prompt Development Text Summarization & Information Retrieval Textual Inference & Sentiment Analysis Text Transforming & Translation Text Expansion & Generation Chain of Thought Reasoning LLM Output Validation & Evaluation Part III: Building Projects with Prompt Engineering Building Chatbots Using Prompt Engineering Building an End-to-End Customer Service System Testing Prompt Engineering-Based LLM Applications

How This Prompt Engineering Guide Helps Business Analysts This guide empowers Business Analysts to unlock the full potential of AI and Large Language Models (LLMs) through Prompt Engineering. Specifically, it helps BAs to: 🔹 Enhance Productivity Automate repetitive tasks like drafting user stories, test cases, acceptance criteria, BRDs, and meeting summaries. Reduce time spent on documentation, backlog grooming, and stakeholder communications. 🔹 Improve Quality Write clearer, INVEST-compliant user stories. Generate traceable requirements and impact assessments with precision. Simulate stakeholder behavior for better elicitation and UAT coverage. 🔹 Strengthen Collaboration Use AI as a co-pilot during sprint planning, workshops, and refinement sessions. Communicate more effectively through role-based prompts and summaries. 🔹 Expand Analytical Capabilities Perform change impact analysis, root cause assessments, and process modeling using prompt-driven tools. Query and interpret structured/unstructured data using natural language. 🔹 Future-Proof Their Careers Build new-age BA skills in prompt engineering, AI tooling, and automation. Position themselves as strategic enablers in digital and AI transformation projects. Create AI portfolios, deploy custom GPTs, and explore emerging roles like AI-Augmented Business Analyst.

Prepare confidently for your next QA interview with this comprehensive PDF featuring the most frequently asked software testing interview questions. Designed for beginners and experienced testers alike, this guide covers key concepts, practical scenarios, and expert insights to help you stand out. Whether you're applying for manual testing or automation roles, this PDF is your go-to resource for success. Get ready to ace your interviews!

🎁 Package Feature Package 1 💰 Price Rs. 13260/169 USD 📽️ Video Access More than 90 Member-Specific Advance Videos 📖 Study Material Complete Hybris Study Material, Pluggable Code Files, and Certification dumps 🖥️ Software Access Licensed Version of Latest Hybris Suite/Software (2211) or any other old version of your choice. 🛠️ Software Installation Support Included 🙋‍♂️ Doubt Clarification Yes, Technical Assistance in this Learning Journey 🎓 Job Guidance Guidance for Job searching in European Countries 📜 Certification Dumps Access to Hybris Certification dumps 🕰️ Package Access Duration On Papers, we will give you a written commitment for all our services with Access duration as: 7 months. 📝Resume Preparation Assistance Yes, Amandeep will assist you in preparing the Customized Resume for you as per your experience and skills

Step inside the world of real data engineering interviews with 100+ experiences from top product and service companies. This isn’t just another prep guide—it’s your insider roadmap to cracking interviews with confidence. What makes it unique: Authentic Insights: Direct experiences from candidates who faced the interviews. Across Companies: Learn what product and service firms really test, from SQL and DSA to system design. Exact Questions: Round-wise questions and scenarios, so you know what to expect before you walk in. Smart Prep: Structured guidance on the right topics, letting you focus on what truly matters from Day 1. With Interview Safarnama, you get a realistic, no-fluff view of the interview journey, helping you prepare strategically, avoid common pitfalls, and maximize your chances of success. Prepare smart. Stay confident. Land your dream role.

Welcome to Hands-On Data Engineering—a no-nonsense, immersive course designed to turn you into a real-world data engineer, not just a tutorial-watcher. This course focuses on building, deploying, and automating scalable data pipelines using today’s most in-demand tools like Apache Airflow, Apache Spark, Kafka, AWS Glue, Snowflake, and more. You’ll work through industry-level projects that simulate real job scenarios, from streaming ingestion to batch ETL, and from data lakes to warehouses. But we go a step further—this course uniquely integrates AI tools into the workflow, teaching you how to: Use LLMs like ChatGPT to accelerate coding, debugging, and architecture decisions Automate data quality checks and schema detection with AI Build AI-enhanced monitoring and alerting for pipelines Leverage GenAI for data documentation, query generation, and metadata extraction Whether you’re switching careers, leveling up, or preparing for your next tech interview, this is the course that gives you the edge.

Explore over 300+ ChatGPT-4 prompts designed to help software developers work smarter and faster! This guide covers everything from writing and fixing code to creating APIs, improving designs, and managing teamwork. Whether you're practicing your coding skills, solving tricky bugs, or learning something new, these prompts make it easy and fun. Perfect for building great apps, improving your projects, or just sharpening your skills. Take your coding journey to the next level with these powerful AI tools!

Are you prepared to elevate your data engineering skills and master Python essentials for big data? Dive into the definitive Python Blueprint for Data Engineering guide, meticulously crafted to help novices and seasoned professionals optimize their data workflows. I'm an Azure Data Engineer with a rich background in simplifying complex data processes, and my passion for empowering others through knowledge culminates in this comprehensive resource. This guide is your gateway to learning: Data Manipulation: Harness the power of Pandas to handle and manipulate vast datasets efficiently. Distributed Computing: Unlock new capabilities with PySpark for scalable and distributed data processing. Cloud Integration: Seamlessly integrate and manage data with Azure SDKs and cloud services. What sets this guide apart? Each chapter is infused with practical examples, making abstract concepts tangible and directly applicable to your everyday data challenges. Whether your goals include fine-tuning an ETL pipeline or deploying data solutions in a cloud environment, this book is your ultimate toolkit. Picture this: a robust understanding of Python’s libraries and frameworks enables you to build and optimize data pipelines confidently and precisely. After exploring these pages, you'll be ready to implement, manage, and optimize large-scale data solutions effortlessly. Don’t wait to advance your career. Immerse yourself in the Python Blueprint for Data Engineering today and begin your journey toward becoming a proficient and sought-after data engineer. Invest in your future, armed with expert insights and actionable knowledge.

Why spend thousands when you can start smart? 🎯 Introducing: "The Complete Software Engineer Course + 25,000 HR Contacts" Your fast-track bundle to break into Full Stack Development... 🎯 Learn. Build. Get Hired — without burning your wallet. 💸 All this for just ₹89! (Yes, not even the price of a coffee!) 📌 Ethically sourced. No resell. No refunds. 🔥 Kickstart your developer journey today!

🚀 Unlock Your True Earning Potential – FOR FREE! 💰 Software developers, let’s talk about something we don’t discuss enough - salary negotiation. You build high-impact solutions, solve complex problems, and drive business success. But when it comes to asking for what you’re worth, do you feel confident? After mentoring hundreds of developers, I’ve seen one common challenge: most people don’t know how to negotiate effectively. So, I decided to fix that. I’m excited to share my FREE digital guide: 🔥 Salary Negotiation Mastery for Software Developers 🔥 Inside, you’ll learn: ✅ How to research market rates and set a strong salary range ✅ The exact framework to articulate your value with confidence ✅ Smart strategies for handling counteroffers & tricky conversations ✅ How to negotiate beyond salary (bonuses, equity, perks & more!) ✅ And much more! 💡 Don’t leave money on the table. Negotiate like a pro and get the compensation you deserve. 👉 Get your free copy now! Let’s make this year of better pay, smarter negotiations, and bigger wins. 🚀

Welcome to Azure Data Engineering with Databricks — a comprehensive course designed for aspiring data engineers and developers eager to build expertise in Azure Data Engineering and Big Data technologies. This course offers a complete roadmap to mastering data engineering on Azure, featuring in-depth coverage of Azure Databricks, Azure Data Factory, Azure Synapse, Spark, PySpark, Delta Lake, and more. Key Topics Covered: 1. Azure Databricks Fundamentals: Architecture and Components: Understand the Databricks architecture, components, and the benefits for data engineers and scientists. Workspace Management: Learn workspace creation, notebook management, and library handling. Data Management: Work with Databricks File System (DBFS), database and table management, metastore, and Delta tables. Computation Management: Dive into clusters, pools, runtimes, jobs, and workload monitoring. Advanced Topics: Develop workflows, handle notebook parallelism, integrate with Azure services, and monitor logs. 2. Spark Core Concepts and Advanced Programming: Introduction to Spark: Understand the purpose of Spark, its components, RDDs, and Spark standalone installation. RDD and DataFrames: Gain hands-on experience with RDD operations, DataFrame transformations, and optimizations. Application Programming and Libraries: Explore Spark Context, application programming, Spark libraries, and advanced tuning for performance optimization. 3. PySpark Essentials and Advanced Data Operations: Core PySpark: Learn about SparkSession, SparkContext, and SQLContext, along with Jupyter and Databricks notebooks for Python development. DataFrames and Big Data File Systems: Work with various data formats (CSV, JSON, Parquet, etc.), DataFrame transformations, and caching. Spark SQL for Big Data Processing: Understand SQL operations, table management, joins, complex queries, and SCD implementations in Spark SQL. 4. Delta Lake for Data Reliability and Compliance: Delta Lake Fundamentals: Explore Delta Lake architecture, table creation, partitions, schema enforcement, and versioning. Advanced Operations: Implement SCD Type 1 and Type 2 using Delta Lake, and learn about time travel, vacuuming, and merge operations. 5. Azure Data Engineering on Microsoft Azure: Azure Storage and Data Architecture: Learn about Azure Blob Storage, ADLS Gen1/Gen2, and hybrid storage models for data warehousing and big data architectures. Azure Data Factory (ADF): Understand the ADF architecture, pipeline creation, data transformation, and integration runtime. Azure Synapse Analytics (Dedicated SQL Pool): Master Synapse DW architecture, distributed tables, indexing, and data load processes for analytical workloads. 6. Comprehensive Spark SQL: Foundational SQL Operations: Create databases, tables, and partitions, and perform data manipulations with DML and DRL commands. Advanced SQL Queries: Use complex joins, window functions, pivots, and group by clauses, and manage SCD types in Spark SQL. This course combines theory with real-world projects, including end-to-end implementations of PySpark projects in Azure Databricks and Azure Data Factory, ensuring hands-on skills development. By the end of this course, you'll have the confidence to tackle real-world data engineering challenges on Azure and Databricks with in-depth knowledge and practical experience.

Tech Internships List: Take the first step toward your dream career with our 350+ Software Development Tech Internships List! Here’s why this resource is a game-changer: 🗂️ Comprehensive Collection: Access over 350 curated internship opportunities across top companies and startups. 🌍 Global Reach: Find both remote and on-site internships from all around the world. ⏱️ Save Time: Skip endless job board searches with this ready-to-use list. 🛠️ Diverse Roles: Explore opportunities across web development, data science, AI, and DevOps. 🚀 Boost Career Growth: Build real-world experience to enhance your resume and skill set. 🎓 For Students & Freshers: Ideal for students, new graduates, or career switchers seeking practical experience. 🔍 Filter with Ease: Quickly locate roles that fit your skill level and interests. 💼 Networking Opportunities: Get connected with industry professionals and potential employers. 📈 Land Your Dream Job: Increase your chances of securing a full-time offer after the internship. 💵 Affordable Investment: Gain access to invaluable career opportunities for the cost of a coffee. Why wait? Grab this list today and unlock your potential with an internship that fits your ambitions! 🚀

This exclusive notes document covers everything from foundational concepts to advanced techniques in prompt engineering to help you craft effective prompts for AI models like ChatGPT, Bard, and Claude. 📖 What's Inside? ✅ What is Prompt Engineering? (Complete Overview) ✅ Perfect Prompt Formula – Framework to get the best AI responses ✅ Step-by-Step Prompting Process for automation and efficiency ✅ Advanced Prompting Techniques: Zero-shot & Few-shot Prompting Chain of Thought (CoT) Prompting Interview & Persona-Based Prompting 🎯 Who is this for? ✔️ Beginners & Professionals mastering AI-driven workflows ✔️ Data Analysts, Content Creators & Marketers optimizing AI responses ✔️ Developers & Tech Enthusiasts working with LLMs & NLP models 📌 Get these notes NOW & start mastering AI prompts! 📢 Limited-Time Offer – Grab Yours Today! 🚀

This Data Engineering Interview Preparation Plan is tailored for aspiring and mid-level professionals targeting roles at product-based companies. Instead of overwhelming you with scattered resources, it provides a focused, round-wise roadmap highlighting what to study and why it matters. Based on insights from 40+ interviews at top product companies, this plan prioritizes high-impact topics that actually get asked — helping you cut through the noise and prepare with purpose. Ideal for anyone looking to crack real-world technical interviews with clarity and confidence.

This guide prepares you for the following AI Engineering career paths: Generative AI Engineer: Focus on LLMs, RAG systems, and AI agents ML Platform Engineer: Build infrastructure for training and deploying models AI Product Engineer: Create user-facing AI applications Research Engineer: Implement cutting-edge papers and push boundaries Expected Outcomes Entry Level: $90–150k (US), building AI features and applications Mid Level: $150–250k, architecting AI systems Senior Level: $250k+, leading AI initiatives and teams

To become as a Cloud Data Engineer, you'll need to focus on a broad range of skills and knowledge, particularly around cloud platforms, data engineering concepts, and modern tools and frameworks. Below is a detailed guide to materials and resources that can help you develop the necessary skills.

If you're a job seeker, these well structured resources will help you to know and learn essential data engineering Interview questions with their exact answer. Lot of folks who are having 0-3+ years of experience have cracked the interview using this guide. so you will be able to crack the interview in easy way ! NOTE: -Most data aspirants hoard resources without actually opening them even once! The reason for keeping a small price for these resources is to ensure that you value the content available inside this and encourage you to make the best out of it. Hope this helps in your job search journey... All the best!👍✌️

💡 Master .NET Architecture & Design — The Ultimate 100+ Q&A Guide Are you preparing for .NET interviews or looking to elevate your architectural and design thinking? This comprehensive 100+ Q&A PDF guide is your go-to resource for mastering SOLID principles, design patterns, dependency injection, and real-world .NET architecture practices. 📘 What You’ll Learn ✅ SOLID Principles — Write clean, maintainable, and scalable code ✅ Dependency Injection & Unit of Work — Build robust, testable applications ✅ Design Patterns Deep Dive — Strategy, Mediator, Builder, Command, and more ✅ Behavioral & Conceptual Q&A — Tackle tough interview and system design scenarios ✅ Practical .NET Insights — Apply DI in ASP.NET Core, set up middleware, use EF Core efficiently, and master mocking techniques 🚀 Why You Need This Guide 💡 Build strong foundations for scalable and maintainable software 💬 Boost your .NET interview confidence with real-world Q&A 👥 Mentor juniors or peers with structured, actionable examples 🧩 Make better architectural decisions using proven patterns and principles 🔗 Take Your .NET Skills to the Next Level Whether you’re preparing for an interview, mentoring a team, or refining your design sense — this guide will help you think and build like a software architect. 👉 Get your copy now and start mastering .NET architecture today! Follow me on LinkedIn for more insights: 🔗 Sandeep Pal

Unleash the power of meticulously crafted notes that fueled my academic triumphs and career success. With a top 1% position in college and a stellar CGPA of 9.71, these notes are your key to mastering OS, DBMS, CN, OOPS, System Design, Concurrency and more. Operating System: Over 450 pages of in-depth content ideal for interview preparation, GATE exams, and college-level assessments. Database Management System: 600+ pages offering coverage for interviews, GATE, and college exams, including practical SQL command implementation. Computer Network: Features 250+ pages of content catering to interview, GATE, and college exam needs, particularly valuable for networking company interviews. Machine Learning: 150+ pages elucidating ML algorithms and their mathematical foundations, along with practical implementation examples. OOPS: Provides comprehensive coverage of OOPS concepts, facilitating a clear understanding of SOLID principles and implementation in C++/Java. Concurrency: 50+ pages delving into threading and concurrency concepts, pivotal for excelling in companies emphasizing these areas. Explore each subject's intricacies with insights beyond textbooks, serving as your beacon through exams and a secret weapon in interviews. Whether you're prepping for exams or aiming to impress recruiters, this collection is your ticket to a well-rounded grasp of essential tech subjects. Elevate your academic and professional journey with these notes, setting the stage for your own remarkable achievements.