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Racecar Engineering - January 2025 English | 84 pages | True PDF | 70.5 MB Racecar Engineering is the world's leading technology publication for the motorsport industry. From aerodynamics to engines and from handling theory to manufacturing practice, Racecar Engineering is read by motorsport's top professionals. Only Racecar Engineering brings this insight every month. https://fikper.com/8wWoZsjbDV/ https://ddownload.com/4e4rsfq3ppnp https://rapidgator.net/file/d2b7e85b7869d4e51ade58dd81fb93dc/ https://nitroflare.com/view/D252CF55116C2FD/

Racecar Engineering - December 2024 English | 86 pages | True PDF | 41.5 MB Racecar Engineering is the world's leading technology publication for the motorsport industry. From aerodynamics to engines and from handling theory to manufacturing practice, Racecar Engineering is read by motorsport's top professionals. Only Racecar Engineering brings this insight every month. https://ddownload.com/4myx0ej5xpba https://rapidgator.net/file/f74c2848e965b9d81d82230f4ee7e484/ https://turbobit.net/dmzelgoc31os.html https://fileaxa.com/ds60m8ncpi4t

Free Download Udemy - Chaos Engineering Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 1.53 GB | Duration: 2h 42m Equip yourself with the knowledge and skills to ensure your AWS systems withstand and recover from failures. What you'll learn Chaos Engineering Fundamentals Building a Basic Fault Injection Simulation (FIS) Experiment Introduction to Real-Life Application Chaos Engineering on Compute - EC2 Chaos Engineering on Database - Aurora Chaos Engineering on Serverless - Fargate Chaos Engineering on Kubernetes - EKS Chaos Engineering on Availability Zone Requirements No prior experience or knowledge required - this course is beginner-friendly and covers everything you need to know! Description In today's fast-paced digital landscape, system resilience is vital for businesses of all sizes. "Chaos Engineering" is a comprehensive and hands-on course designed to equip you with the knowledge and skills needed to ensure your systems withstand and recover from failures. From foundational concepts to advanced applications on various AWS services, including EC2, Aurora, Fargate, and EKS, as well as strategies to ensure availability across multiple Availability Zones.What You'll Learn:Chaos Engineering Fundamentals:Understand core principles and the philosophy behind Chaos Engineering.Learn why identifying and addressing system weaknesses through controlled chaos experiments is vital.Explore essential tools and methodologies for implementing Chaos Engineering.Building a Basic Fault Injection Simulation (FIS) Experiment:Gain a step-by-step understanding of constructing and executing your first Fault Injection Simulation (FIS) experiment.Understand how to design experiments targeting different failure modes in a controlled setting.Learn to interpret experiment results and refine your simulations for better accuracy.Introduction to Real-Life Application:Discover how to apply Chaos Engineering experiments to real-world applications.Learn best practices for monitoring, capturing metrics, and analyzing results to continually improve system resilience.Chaos Engineering on Compute - EC2:Conduct chaos experiments on EC2 instances to evaluate and improve system robustness.Simulate failures, such as instance termination or network latency, and observe impacts.Chaos Engineering on Database - Aurora:Learn to apply Chaos Engineering principles to Amazon Aurora databases.Simulate failures like cluster instability or node outages and develop strategies for seamless recovery.Chaos Engineering on Serverless - Fargate:Conduct chaos experiments on AWS Fargate to test the resilience of your serverless applications.Simulate events like task failures or service downtime to ensure robust serverless architectures.Chaos Engineering on Kubernetes - EKS:Implement Chaos Engineering on Amazon EKS to stress-test Kubernetes clusters.Simulate pod failures, node crashes, and other disruptions to validate recovery mechanisms.Chaos Engineering on Availability Zone:Conduct chaos experiments across different AWS Availability Zones.Test the impact of zone failures and ensure your systems are prepared for multi-availability zone disasters.This course, with its combination of theory, demonstrations, and real-world scenarios, will enable you to build resilient systems capable of withstanding and recovering from unexpected failures efficiently. Join us to master Chaos Engineering and innovate with confidence. Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 Important Course Resources Section 2: Chaos Engineering Fundamentals Lecture 3 Why Chaos Engineering? Lecture 4 What is Chaos Engineering ? Lecture 5 What is AWS FIS? Lecture 6 FIS Experiments in this Course Lecture 7 Accessing the Quizzes Lecture 8 Quiz - Chaos Engineering Fundamentals Section 3: Building a basic FIS experiment Lecture 9 FIS Permissions Lecture 10 Demo - Create FIS Permissions Lecture 11 Experiment 1-Chaos Engineering on ASG Lecture 12 Built ASG based Architecture Lecture 13 Demo: ASG based Architecture Lecture 14 Create FIS Experiment Lecture 15 Demo - Run FIS Experiment Lecture 16 Demo - Demo - Learning and Improvements Lecture 17 Demo - FIS experiment -CloudWatch Dashboard Lecture 18 Demo - Create FIS Experiment using CF Lecture 19 Quiz- Building_Basis_FIS_experiment Section 4: Introduction to Real life Application Lecture 20 Introduction to our real life application Lecture 21 Pre-requisite to Deploy Application & Cloud 9 Deprecation Lecture 22 Demo: Pre-requisite to Deploy Application Lecture 23 Demo - Setup Architecture and Deploy Application Lecture 24 How to Plan Your Experiment? Part 1 Lecture 25 How to Plan Your Experiment? Part 2 Lecture 26 Establishing Steady State Metrics Using Cloudwatch RUM/X Ray Lecture 27 Demo: Cloud Formation Deployment Lecture 28 Quiz : Introduction to Real Life Application Section 5: Chaos Engineering on Compute - EC2 Lecture 29 Disk Fill Scenario on EC2 Lecture 30 Demo: FIS Experiment - Disk Fill Scenario on EC2 and before metrics in X Ray Lecture 31 Demo: FIS Experiment - After Metrics in X Ray and EC2 instances Lecture 32 Quiz - Chaos Engineering on Compute Section 6: Chaos Engineering on Database - Aurora Lecture 33 Reboot Reader Node Scenario on Aurora Lecture 34 Demo: Pre-requisite for FIS experiment, Create IAM role, and Current State Lecture 35 Demo: Create and Run FIS experiment and After Metrics and DB state Lecture 36 Quiz- Chaos Engineering on Database - Aurora Section 7: Chaos Engineering on Serverless - Fargate Lecture 37 ECS Fargate Experiment Idea and Hypothesis Lecture 38 Demo: Fargate Steady State Lecture 39 Demo: Fargate IAM role creation Lecture 40 Demo: Run experiment Task I/O stress Lecture 41 Demo: Fargate After State and Learning and Improvements Lecture 42 Quiz- Chaos Engineering on Serverless - Fargate Section 8: Chaos Engineering on Kubernetes- EKS Lecture 43 EKS Explanation Lecture 44 Demo: Memory Stress on EKS - Part 1 Lecture 45 Demo: Memory Stress on EKS - Part 2 Lecture 46 Demo: Memory Stress on EKS- Part 3 Lecture 47 Demo: Memory Stress on EKS- Part 4 Lecture 48 Pod Delete on EKS Lecture 49 Demo: Steady State Pod Delete on EKS Lecture 50 Demo: Run Experiment Pod Delete on EKS Lecture 51 Demo: Recheck After Pod Delete on EKS Lecture 52 Quiz- Chaos Engineering on Kubernetes- EKS Section 9: Chaos Engineering on Availability Zone Lecture 53 What is an Availability Zone(AZ)? Lecture 54 Experiment Overview Lecture 55 Demo: General Experiment Setup- AZ Lecture 56 Demo: Prepare Experiment- AZ Lecture 57 Running the Experiment Lecture 58 Quiz- Chaos Engineering on Availability Zone Section 10: Conclusion Lecture 59 Cleanup Process Lecture 60 Conclusion Developers interested in enhancing their systems' resilience.,Site Reliability Engineers (SREs) focused on improving system reliability.,Cloud Engineers managing AWS environments.,Technical Support Engineers specializing in fault-tolerant systems.,Technical Leads overseeing cloud-native application projects. 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pdf | 31.24 MB | English| Isbn:9781040223499 | Author: José A. Romagnoli, Luis Briceño-Mena, Vidhyadhar Manee | Year: 2024 Description: https://fileaxa.com/dwybbqvjhvl4 https://ddownload.com/0tkb9rmqk075 https://rapidgator.net/file/bea22ca097cb195ceb397e9bbe3c4e64/ https://turbobit.net/pvfasl252ob1.html

Free Download Value Engineering by M.P. Tyagi Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 432.54 MB | Duration: 1h 3m An ideal course for learning and upgrading skills in Value Engineering with practical case study What you'll learn Learn the basic concepts of Value engineering, its definitions and History. Learn the Function and Cost relationship in a Product or Service. Learn that Value Engineering is a systematic and organized approach to providing the necessary functions in a product at the lowest cost. Learn that Value engineering promotes the substitution of materials and methods with less expensive alternatives, without sacrificing functionality. Learn that Value engineering is often broken into six steps or phases starting with generating ideas and ending with change implementation. Learn that Value engineering is primarily focused on the values called USE VALUE, COST VALUE, ESTEEM VALUE, and EXCHANGE VALUE. Learn that the ultimate formula for value is defined as function divided by cost, with value engineering striving to maximize function while minimizing cost Requirements Ability to understand the basic concepts of function and cost of parts or assembly and basic knowledge of working on a computer. Description Value engineering is a systematic and organised approach to providing necessary functions in a project at the lowest cost. Value engineering promotes the substitution of materials and methods with less expensive alternatives, without sacrificing functionality. It is focused solely on the functions of various components and materials, rather than their physical attributes.Value engineering is the review of new or existing products during the design phase to reduce costs and increase functionality to increase the value of the product. The value of an item is defined as its function divided by cost. It is the most cost-effective way of producing an item without taking away from its purpose.The concept of value engineering evolved in the 1940s at General Electric, in the midst of World War II. Due to the war, purchase engineer Lawrence D. Miles and others sought substitutes for materials and components since there was a chronic shortage of them. These substitutes were often found to reduce costs and provide equal or better performance.Value Engineering is a vital tool for designers to optimize their design taking into consideration the value of each part of the design and ensuring obtaining the maximum design functionality.The technique is carried out very systematically in six steps called Value Engineering Job Plan.There are four primary types of value recognized by value engineering:Use Value: Use value is the primary type of value and it is determined by the attributes of the product.Cost Value: Assuming we have a good generating use value, cost value is how much it costs to make the product.Esteem Value: While the use value describes the physical benefit of a product, consumers may also experience intrinsic value that often extends beyond what the product is.Exchange Value: The last and smallest component of value relates to a product's ability to be exchanged. Overview Section 1: Introduction Lecture 1 Introduction Section 2: Section 2: Introduction and History Lecture 2 L2 Opening Lecture Lecture 3 L3 An Introductory Outlook Section 3: Section 3: Types of Value Lecture 4 L4 Types of Value Section 4: Section 4: Methodology of Implementing Value Engineering Lecture 5 L5 Methodology of Implementing Value Engineering Section 5: Section 5: Learning through Case Study Lecture 6 L6 Gather Information Lecture 7 L7 Conduct Functional Analysis Lecture 8 L8 Develop Alternatives Lecture 9 L9 Evaluate Ideas Lecture 10 L10 Present Developed Ideas Lecture 11 L11 Imolementation Phase Section 6: Section 6: Professional Certification Lecture 12 L12 Professional Certification Section 7: Section 7: Wrap-up and Conclusions Lecture 13 L13 Wrap-up and Conclusions Section 8: Section 8: Good Luck Video Lecture 14 L14 Good Luck video Learners wanting to learn about the concept of Value Engineering and those having keenness to improve the value of the product or service.,The Engineers Designing the product or sevice.,Marketing executives and Market Researchers.,Production Managers and all those interested in enhancing the marketability of their product. Screenshot Homepage https://www.udemy.com/course/value-engineering/ Rapidgator https://rg.to/file/9bd4f4f3b78bf23fca42b34c75d4157a/kvcod.Value.Engineering.by.M.P..Tyagi.rar.html Fikper Free Download https://fikper.com/hauidYx5Hb/kvcod.Value.Engineering.by.M.P..Tyagi.rar.html No Password - Links are Interchangeable

Free Download Udemy - Basics of Genetic Engineering Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 42m | Size: 701 MB Introduction to Genetic Engineering: Exploring Gene Editing, Cloning, and Real-World Applications What you'll learn Understand the fundamental principles of genetic engineering and its key concepts. Apply essential genetic engineering tools and techniques, such as PCR, gene cloning, and CRISPR. Analyze the ethical, legal, and societal implications of genetic engineering. Explore real-world applications of genetic engineering in medicine, agriculture, and biotechnology. Requirements This course is designed for anyone interested in exploring the dynamic field of genetic engineering. It is particularly valuable for students in science and engineering disciplines who want to gain a foundational understanding of genetic manipulation, its tools, and applications. Professionals in related fields such as biotechnology, medicine, agriculture, and pharmaceuticals will also benefit from this course as it provides insights into how genetic engineering is transforming these industries. Additionally, anyone curious about the future of genetics and its role in solving global challenges will find this course engaging and enlightening. Whether you're looking to enhance your academic knowledge or apply genetic engineering in your career, this course will equip you with the essential concepts and tools needed for success. Description This course provides a comprehensive introduction to the fascinating field of genetic engineering, equipping learners with the fundamental concepts and techniques used to modify genetic material. Designed for beginners, it covers essential topics such as DNA structure and function, gene cloning, and the latest tools in gene editing like CRISPR-Cas technology. The course delves into both the theoretical and practical aspects of genetic engineering, offering students a strong foundation in the molecular techniques that have revolutionized biotechnology, medicine, and agriculture.Throughout the course, you'll explore a range of applications-from developing genetically modified organisms (GMOs) for improved crops to cutting-edge advancements in gene therapy for treating human diseases. Key areas of focus include cloning and recombinant DNA technology, gene delivery systems, and the ethical, legal, and social implications (ELSI) of manipulating genes. By examining real-world case studies, you'll gain insights into how genetic engineering is applied in research, industry, and healthcare.Whether you're a student of biology or biotechnology, a professional in a related field, or simply curious about the science behind genetic manipulation, this course will provide you with the essential tools to understand and explore the rapidly evolving field of genetic engineering. No prior knowledge is required, making it an accessible yet informative experience for anyone interested in the future of genetics. Who this course is for This course is designed for students, professionals, and enthusiasts eager to dive into the exciting world of genetic engineering. It is ideal for undergraduate and graduate students in biology, biotechnology, biomedical engineering, or related fields who want to build a strong foundational understanding of genetic manipulation techniques and applications. Professionals working in sectors such as pharmaceuticals, agriculture, healthcare, and biotechnology will find the course particularly useful for gaining insights into how genetic engineering is advancing their industries. Additionally, anyone with a keen interest in cutting-edge technology and a curiosity about how genetics can be harnessed to solve real-world problems will benefit from the course. Whether you're pursuing academic growth, career development, or simply have a passion for genetic science, this course will provide the knowledge and skills you need to explore the vast potential of genetic engineering. Homepage https://www.udemy.com/course/basics-of-genetic-engineering/ Screenshot Rapidgator https://rg.to/file/62b944cf27ac191e90c1a15bc0327ade/sfcqd.Basics.of.Genetic.Engineering.rar.html Fikper Free Download https://fikper.com/kalXrANvZA/sfcqd.Basics.of.Genetic.Engineering.rar.html No Password - Links are Interchangeable

Free Download The Chatgpt Prompt Engineering Mastery Course Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 8.61 GB | Duration: 4h 26m Master Prompt Engineering: Unleash the Power of AI with Proven Patterns, Techniques, and Real-World Applications What you'll learn Master Prompt Patterns: Communicate effectively with AI using powerful prompt patterns for clear and engaging interactions. Create Real-World AI Projects: Apply prompt engineering to 15+ real-world projects across text and image generation. Enhance Precision with Prompts: Use the Question Refinement Pattern to create precise, effective prompts for better AI responses. Master Few-Shot Prompting: Train AI with minimal data using Few-shot Examples and Chain of Thought Prompting. Automate Business Processes: Learn how to automate 15+ workflows using AI to streamline your business operations. Build AI-Driven Applications: Create prompt-based applications that solve problems for life, business, or education. Advance Your Career with AI: Use AI to prep for interviews, optimize your resume, and grow your career. Scale AI in Production: Learn Python patterns and tools to run and maintain AI models in production reliably. Boost Creativity & Productivity: Use AI to transform ideas into content, reach new audiences, and manage tasks efficiently. Explore AI Models: Understand the strengths and weaknesses of ChatGPT, GitHub Copilot, MidJourney, and more. Master the Intuition Behind Prompts: Gain insights into effective AI communication through prompt intuition. Enhance Communication Skills: Use ChatGPT for personalized feedback to improve soft skills like communication and leadership. Personalize AI Responses: Use the Persona Pattern to tailor AI outputs for specific audiences and contexts. Create Interactive AI Experiences: Learn the Game Play Pattern for fun, interactive AI conversations. Ensure Accurate AI Outputs: Use patterns like Fact Check List and Semantic Filter to maintain content accuracy. ...and Much More: Explore a variety of advanced techniques and tools to fully unlock AI's potential. Requirements No prior experience with ChatGPT or prompt engineering is necessary. All you need is an internet connection and curiosity about AI. ou can follow along with either a free or ChatGPT Plus account, using models like GPT-4, Claude, Perplexity, Gemini, or Llama No programming or technical skills required-you'll learn everything in the course! Description Welcome to the ChatGPT Prompt Engineering Mastery Course!Are you ready to unlock the full potential of AI-powered systems like ChatGPT? This comprehensive course will teach you how to communicate effectively with AI by mastering prompt engineering. Whether you're a beginner or an AI enthusiast, this course offers valuable skills that will boost your productivity, problem-solving, and creative capabilities across a wide range of industries. In this course, we delve deep into Prompt Engineering, a pivotal skill in today's AI-driven world. You will learn how to create, refine, and deploy effective prompts to unlock AI's full potential-transforming everyday tasks across business, content creation, coding, and more. this course is designed to elevate your skills and transform the way you interact with artificial intelligence.What Will You Learn?Understanding Prompts: Learn how to craft prompts that enable AI systems to deliver accurate and relevant responses.Prompt Patterns for AI Interaction: Explore essential patterns, including the Persona Pattern, Root Prompts, Question Refinement, and Cognitive Verifier, to create structured and effective prompts.Advanced Techniques: Delve into specialized prompt engineering strategies, such as Chain of Thought Prompting and ReAct Prompting, designed for complex AI tasks and interactive conversations.Few-Shot Learning: Master the art of providing AI with minimal data while achieving maximum impact, guiding it to perform tasks efficiently.Practical Projects: Engage in real-world applications, such as building blog post generators, automated email replies, and even creating simple games using ChatGPT.Boost your productivity by automating repetitive tasks.Enhance work quality using advanced AI tools.Secure your place in the AI-driven job market.Automate business processes like content generation, market research, and customer service.Stay ahead in a $1.5 trillion industry, leading AI advancements in your field.Fundamentals of Prompt Engineering and how to use it with AI tools like ChatGPT, Google Bard, and Midjourney.AI-powered productivity for content creation, marketing, social media, and much more.Advanced Prompt Techniques, including debugging prompts, optimizing for specific tasks, and leveraging plugins.Why Take This Course?This course not only provides a solid foundation in prompt engineering but also equips you with the tools to apply these techniques in any professional setting. The lessons are designed to be clear, concise, and practical, ensuring you can immediately use what you've learned in your work or personal projects.Highlights:Bite-sized lessons under 10 minutes each, making learning both enjoyable and efficient.Hands-on projects and case studies to solidify your understanding of each concept.Access to over 250+ curated prompts tailored for various roles and industries.Continuous course updates to keep you ahead as AI technology evolves.Ongoing support-ask questions anytime and receive timely, insightful responses.What sets this course apart?Comprehensive Curriculum: From understanding the basics of prompts to mastering advanced techniques, we cover it all. You'll learn essential concepts like:The foundation and intuition behind promptsPrompt patterns for effective AI communicationAdvanced techniques like Chain of Thought and ReAct PromptingCreating persona and audience-specific promptsInnovative approaches like Game Play and Meta Language Creation patternsPractical, Real-World Applications: This isn't just theory - you'll learn how to apply prompt engineering to solve real problems, boost productivity, and unleash creativity across various domains.Structured Learning Path: Our carefully crafted curriculum takes you from beginner to expert, with each lesson building upon the last. You'll start with simple prompts and progress to complex problem-solving techniques.Interactive and Engaging: With hands-on exercises, real-world examples, and interactive modules, learning becomes an adventure rather than a chore.Future-Proof Your Skills: As AI continues to evolve, the ability to effectively communicate with these systems becomes increasingly valuable. This course prepares you for the AI-driven future, making you an indispensable asset in any field.Ethical Considerations: We don't just teach you how to use AI - we also explore the ethical implications and responsible use of these powerful tools.By the end of this course, you'll be able to:Craft precise and effective prompts for various AI modelsImplement advanced prompt engineering techniques for complex tasksUnderstand and apply different prompt patterns for diverse scenariosEvaluate and refine AI responses for accuracy and relevanceLeverage AI as a powerful tool for creativity, productivity, and innovationThis course caters to professionals from all backgrounds, whether you're a seasoned tech expert or completely new to AI. By the end of the course, you'll have mastered the skills to interact effectively with AI systems, creating opportunities for personal and professional growth.What Can You Expect by the End?Boosted productivity through AI-driven automation.Enhanced problem-solving and critical thinking skills.Confidence in creating prompts for diverse AI applications, from content generation to business processes.Practical knowledge to stay competitive in an ever-evolving job market.Stay Up-to-Date:Our course is constantly updated to reflect the latest in AI developments, including ChatGPT's new plugins, Google Bard enhancements, and other AI tools like DALL-E and Adobe Firefly for image creation.Join us on this exciting journey into the world of prompt engineering. Transform the way you interact with AI, unlock new possibilities in your work and personal projects, and position yourself at the forefront of the AI revolution. Enroll now and start your journey to becoming a prompt engineering master! Overview Section 1: Introduction Lecture 1 Introduction Section 2: Getting Started with ChatGPT: From Basics to Advanced Insights Lecture 2 Nobita is wrolds first promtp engineer Lecture 3 Fundamentals of ChatGPT: Understanding LLMs Lecture 4 Decoding Randomness in ChatGPT Conversations (Hallucination) Section 3: Mastering Prompt Engineering: Techniques for Effective AI Conversations Lecture 5 Understanding Prompts: The Foundation of Effective AI Interaction Lecture 6 The Intuition Behind Prompts: How to Communicate with AI Effectively Lecture 7 Essential Prompt Patterns for Better AI Communication Lecture 8 Prompt Programming for Everyone: Unlocking the Power of AI Conversations Lecture 9 The Persona Pattern in AI: Crafting Context and Character for Engaging Responses Lecture 10 Incorporating New Information in ChatGPT for Data Processing or Accurate Answers Lecture 11 Root Prompts: Building the Foundation for Powerful AI Interactions Section 4: Advanced Prompt Patterns: Refining AI Interactions for Accuracy and Engagement Lecture 12 Question Refinement Pattern: Enhance Clarity and Precision in AI Prompts Lecture 13 The Cognitive Verifier Pattern: Ensuring Accurate AI Responses Lecture 14 Audience Persona Pattern: Tailoring AI Responses for Specific Users Lecture 15 Flipped Interaction Pattern: Engaging AI by Reversing the Conversation Section 5: Few-Shot Mastery and Advanced Prompting: Optimizing AI for Complex Tasks Lecture 16 Few-shot Examples: Teach AI with Minimal Data for Maximum Impact Lecture 17 Few-shot Examples for Actions: Guide AI to Perform Tasks Effectively Lecture 18 Crafting Few-Shot Examples with Intermediate Steps for Clear AI Guidance Lecture 19 Chain of Thought Prompting: Step-by-Step Reasoning for Complex AI Tasks Lecture 20 ReAct Prompting: Combining Reasoning and Action for Dynamic AI Responses Section 6: Creative Prompt Patterns: Designing Interactive and Structured AI Responses Lecture 21 The Game Play Pattern: Making AI Interactions Fun and Interactive Lecture 22 The Recipe Pattern: Step-by-Step Instructions for Guiding AI Responses Lecture 23 Exploring the Alternative Approaches Pattern for Diverse AI Responses Lecture 24 Template Pattern: Structuring AI Prompts for Consistent and Reliable Outputs Section 7: Advanced Prompt Patterns: Collaborative and Structured AI Interactions Lecture 25 Ask for Input Pattern: Engaging AI Users for Collaborative Conversations Lecture 26 Outline Expansion Pattern: Breaking Down Concepts for Detailed AI Explanations Lecture 27 Menu Actions Pattern: Creating Interactive and Dynamic AI Choices Lecture 28 Fact Check List Pattern: Ensuring Accuracy in AI-Generated Content Lecture 29 Tail Generation Pattern: Generating Complete and Contextual AI Responses Lecture 30 Semantic Filter Pattern: Filtering AI Responses for Relevance and Clarity Section 8: Thank You Lecture 31 Chatgpt Masterclass Outro Business Owners & Entrepreneurs: Grow your business faster by using ChatGPT for marketing, content creation, customer engagement, and productivity enhancement.,Marketers & Content Creators: Streamline your workflow, boost productivity, and save over 15+ hours a week by leveraging AI for creative projects and targeted campaigns.,Students & Lifelong Learners: Future-proof your career and academic performance by using ChatGPT for research, academic writing, and coursework support.,Developers & Tech Professionals: Enhance your app development by mastering prompt engineering and integrating AI into your tech solutions.,Freelancers: Scale your freelance business faster with AI-driven strategies to improve client engagement, content production, and task automation.,Researchers: Conduct more effective research and extract insights for academic or professional projects using the power of AI.,Busy Professionals: Become more productive at work by automating tasks and improving time management with ChatGPT.,Educators & Parents: Use ChatGPT as a tutor to help children in subjects like math, or integrate AI into educational programs.,AI Enthusiasts: Stay up-to-date with technological advancements and gain a competitive edge by mastering generative AI and prompt engineering.,Anyone Interested in AI: Whether you're optimizing daily tasks like meal planning or exploring personal cybersecurity, this course helps you leverage AI to be more efficient and effective.,Data/Tech Professionals: Upskill and harness the power of AI tools like ChatGPT to stay relevant in the rapidly evolving tech landscape.,Individuals Ready to Disrupt Their Field: Write effective prompts and unlock the full potential of large language models to innovate in your industry. 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Free Download Security Engineering Access Control and Data Protection Released 10/2024 By Chris Jackson MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 31m | Size: 220 MB Welcome to the next course in the Security Engineering learning path Access Control and Data Protection. This course will teach you to protect and control access to sensitive data. This course solves the challenge of securing sensitive data by teaching you how to implement access controls, protect information, and analyze data flows effectively. In this course, Security Engineering: Access Control and Data Protection, you'll learn to protect and control access to sensitive data. First, you'll explore implementing access controls. Next, you'll discover methods to protect data. Finally, you'll learn how to analyze databases and data flows. When you're finished with this course, you'll have the skills and knowledge needed to protect and access organizational data. Homepage https://www.pluralsight.com/courses/sec-engineering-access-ctrl-data-protection Screenshot Rapidgator https://rg.to/file/97a7ff37afd9ea0c7fd25d97e38ce29d/koivg.Security.Engineering.Access.Control.and.Data.Protection.rar.html Fikper Free Download https://fikper.com/rd9aYyHDZD/koivg.Security.Engineering.Access.Control.and.Data.Protection.rar.html No Password - Links are Interchangeable

Free Download Requirements Engineering Prioritize, Manage, And Succeed Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.51 GB | Duration: 3h 24m Gain practical skills in Requirements Engineering to effectively manage and prioritize project requirements What you'll learn Understand the roles, responsibilities, and key activities involved in Business Analysis and Requirements Engineering. Gain knowledge about various certifications available for Requirements Engineering and Business Analysis professionals. Distinguish between various requirements types and prioritize these requirements based on project needs and stakeholder inputs. Identify and define key attributes of requirements, including constraints and business rules. Develop User Requirements Specifications and Acceptance Criteria Identify and categorize different types of non-functional requirements such as performance, security, usability, and reliability. Implement management practices for tracking, maintaining, and updating requirements throughout the project lifecycle. Use prioritization methods such as MoSCoW, Kano Model, and Weighted Criteria. Requirements The course is open to both beginners and experienced requirements engineers. There are no specific prerequisites for students to enroll in the course. Description Unlock the power of Requirements Engineering and take your project management and business analysis skills to the next level!Whether you are a beginner or an experienced professional, this comprehensive course will give you a deep understanding of Requirements Engineering principles, tools, and best practices that ensure project success.What You'll Learn?Understand the distinction between Business Analysis and Requirements Engineering. You'll learn how to navigate the responsibilities and tasks involved in both fields effectively. Gain insight into the most recognized Business Analysis and Requirements Engineering certifications, such as IIBA's CBAP and IREB's CPRE.Dive into the core principles that form the foundation of Requirements Engineering.Discover the different types of requirements, including functional and non-functional requirements (NFRs). You'll understand how to identify, classify, and document each type to ensure your project covers all necessary aspects.Learn to define essential requirement attributes, such as business rules and project constraints, ensuring that your requirements are thorough and well-organized for stakeholders and development teams.Understand the essential methods for requirements elaboration. Learn how to transform high-level requirements into detailed, actionable tasks through practical techniques and real-world examples.Develop hands-on skills in creating user requirements specification documents and defining clear, testable acceptance criteria.Master the art of documenting functional requirements in an easy-to-follow structure that aids clear communication between stakeholders and developers.Dive into the critical types of non-functional requirements, such as performance, security, usability, and reliability. Learn how to document these requirements to address essential project qualities.Understand how to define and leverage attributes for each requirement to ensure comprehensive documentation and analysis.Learn to establish and maintain traceability throughout the project, ensuring that all requirements are tracked from origin to implementation.Get equipped with the best practices for managing changes to requirements, ensuring your project stays aligned with business needs without scope creep.Master prioritization techniques like MoSCoW, Kano, and Weighted Criteria to ensure that your project delivers the most valuable requirements first, keeping stakeholders satisfied.Why Take This Course?By the end of this course, you'll be able to confidently manage requirements throughout the project lifecycle. You'll ensure that all requirements are well-documented, prioritized, and aligned with the project's objectives. Whether you're aiming for professional certifications or want to enhance your practical skills, this course will give you the tools to succeed in today's competitive environment. You'll also be able to create user requirements specification documents, define clear, testable acceptance criteria, and manage changes to requirements effectively, ensuring your project stays aligned with business needs without scope creep. Overview Section 1: Business Analysis VS Requirements Engineering Lecture 1 Business Analysis VS Requirements Engineering Section 2: Certifications Overview Lecture 2 Certifications Overview Section 3: Fundamental Principles of Requirements Engineering Lecture 3 Fundamental Principles of Requirements Engineering Section 4: Types of requirements Lecture 4 Types of requirements Section 5: Requirements attributes: constraints, rules Lecture 5 Requirements attributes: Business rules and Constraints Section 6: Practices for Requirements Elaboration Lecture 6 Determine requirements Lecture 7 Validation Section 7: User requirements specification and Acceptance Criteria template forms Lecture 8 User requirements specification and Acceptance Criteria template forms Section 8: Functional requirements Lecture 9 Functional requirements specification template forms Section 9: Non-Functional requirements (NFRs) types Lecture 10 Non-functional Requirements Section 10: Management Practices for Requirements Lecture 11 Intro Lecture 12 Requirements life cycle Lecture 13 Requirements attributes Lecture 14 Traceability Lecture 15 Change Management Lecture 16 Summary Lecture 17 Prioritization Business analysts who wish to deepen their understanding of requirements engineering principles and practices.,Practitioners are responsible for defining, documenting, and maintaining requirements for software projects.,Engineers who aim to formalize their knowledge and adopt best practices in requirements engineering.,Project managers overseeing software development projects who need to ensure that requirements are properly defined, managed, and met throughout the project lifecycle.,Individuals responsible for product development and management who need to understand how to capture and prioritize requirements to deliver successful products. 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Free Download Project Management Business Analysis and QA Engineering 2025 Published 10/2024 Created by Michael Nasonov MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 184 Lectures ( 48h 24m ) | Size: 24 GB Wide range lectures and lessons from project management to automastion engineering What you'll learn Learn complete IT Project Management Fundamentals Learn IT Business Analysis Fundamentals Learn IT Quality Assurance Management Fundamentals Learn programming languages: JS Java Python C Sharp Visual Basic Groovy Learn Quality Acceptance Engineering Frameworks Requirements no programming experience needed, this course is for any user level from "no experience" to "experienced" Description The course specifically designed for any user level from "no experience" to "experienced" who wants to expand, enforce and enhance personal well-rounded professional knowledge.The course designed to provide a user with well-weighted proportional ratio of practical involvement merged in combination with no-expiration methodology applicable knowledge.I structured and formatted this course the way that will serve students for years by generated and collected end-to-end applicable knowledge.Learn complete IT Project Management FundamentalsLearn IT Business Analysis Fundamentals with practiceLearn IT Quality Assurance Management FundamentalsApply basic-to-OOP programming languages: JS Java Python C Sharp Visual Basic GroovyParti[beeep]te in full scale demo trade company from-end website using HTML CSSPractically apply Selenium and Katalon IDE browser extensions followed by Katalon StudioPractically learn modern automation frameworks with Playwright and CypressImplement Cucumber Behaviour Driven Development Framework with data parameters for multiple data setsLearn and apply Robot Framework with practical applicable examplesLearn Database Fundamentals and create from scratchExplore Mainframe and take COBOL lessons from basic to file operationsLearn about Web Services and interact with Postman API and SOAP UIApply performance testing with J-MeterThe students who take this course, will be having good and interesting practical journey with time well implemented. 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Free Download Nanotechnology In Civil Engineering Course Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.20 GB | Duration: 2h 39m Transforming Construction: An Introduction to Nanotechnology Applications in Civil Engineering What you'll learn A basic understanding of core civil engineering principles, including knowledge of construction materials and their standard applications Familiarity with standard construction materials and a working knowledge of their properties will be beneficial. An interest in exploring new technologies and materials in civil engineering, especially within sustainable construction No prior experience in nanotechnology is required, making the course accessible to anyone with a foundational understanding of civil engineering Requirements Basic understanding of civil engineering principles, especially in material science. Familiarity with construction materials and their standard applications. Interest in technological advancements in civil engineering. No prior knowledge of nanotechnology needed. Access to a computer or mobile device with internet connectivity. Comfort with engaging in online learning modules and resources. Description Overview The Nanotechnology in civil engineering course provides a comprehensive introduction to nanotechnology and its applications in civil engineering, highlighting how advancements at the nanoscale are transforming traditional construction and materials science. Through a combination of foundational concepts and practical insights, parti[beeep]nts will explore how nanotechnology can improve material properties, durability, and sustainability within civil infrastructure projects.Parti[beeep]nts will delve into various nanomaterials, such as nano-silica, nano-clay, and carbon nanotubes, gaining an understanding of their unique properties and their roles in enhancing construction materials like concrete, steel, and coatings. The course also examines how nanotechnology contributes to innovations in self-cleaning surfaces, enhanced strength-to-weight ratios, and improved thermal insulation, potentially addressing key challenges in construction durability and efficiency.The curriculum is designed to support civil engineering students, professionals, and enthusiasts who want to understand the future directions of material science in construction. Through engaging lectures and real-world examples, parti[beeep]nts will learn about the theoretical foundations of nanotechnology and be introduced to emerging technologies shaping the industry.At the end of this course, learners will have a solid foundation in the basics of nanotechnology applications in civil engineering and insights into how these innovations could impact sustainable building practices and construction materials. Overview Section 1: Module 1. Nanotechnology in Civil Engineering Lecture 1 1.1. Nanotechnology in Civil Engineering Lecture 2 1.2. What is Nanotechnology Lecture 3 1.3. Comparison Lecture 4 1.4. Comparison1 Lecture 5 1.5. Nano Particles in Virus and Bacteria Lecture 6 1.6. Nanoparticles Lecture 7 1.7. How Big is Nano Lecture 8 1.8. How big is Nanometre Section 2: Module 2. Nanotechnology in Civil Engineering Lecture 9 2.1. How Nano Particles Usefull with Example Lecture 10 2.2. How Nano Particles Usefull with Example and Conclusion Civil Engineering Students: Those looking to expand their knowledge in emerging materials and technology within the field of civil engineering.,Construction Professionals: Engineers, project managers, and contractors interested in learning how nanotechnology can enhance material performance and sustainability in construction projects.,Researchers and Academics: Individuals involved in materials science or civil engineering research, looking for insights into the latest nanotechnology applications in infrastructure.,Sustainability Enthusiasts: Anyone passionate about sustainable building practices who wants to understand how nanotechnology contributes to eco-friendly and efficient construction.,Lifelong Learners and Technological Enthusiasts: Those with an interest in technological advancements and innovative materials who want to explore how nanotechnology impacts everyday construction practices. 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Free Download Mastering EPLAN - Course on Electrical Engineering Design Published 10/2024 Created by Tebogo Letlhogonolo Mashwabi MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 40 Lectures ( 15h 38m ) | Size: 11.5 GB A Complete Guide to Electrical Design and Automation Using EPLAN Software What you'll learn Apply real-world case studies to enhance learning and problem-solving skills. Gain proficiency in using EPLAN software for electrical system design. Create detailed electrical schematics, ground schematics, network schematics and electrical panel layouts. Select appropriate electrical devices and optimize communication between network devices. Manage electrical project from creation to completion. Generate accurate documentation, material lists, and reports. Requirements Basic knowledge of electrical engineering principles Familiarity with electrical schematic design and industrial automation concepts Description The course offers a exclusive perspective to analyzing customer design scope (case study). In this course you will be able to review the documents which the customer can supplies you with to enable you to complete your designs. We will use Siemens Simaris Curves to conduct proper circuit breaker selectivity / discrimination. Cable design calculation will also be conducted to ensure that cables selected are accurate for the system. Heat and weight calculation is also another part of the course design work. The course also offers you the opportunity to learn and selecting appropriate electrical devices for system, designing, integrating and finally documenting a project successfully.This course is created for individuals seeking to advance their skills not only in the usage of EPLAN, but also in being a great electrical design engineer.Upon completion of this course, parti[beeep]nts will be able to confidently use EPLAN software to design, document, and manage electrical systems, thereby improving their efficiency and effectiveness in professional settings. You will be enable to confidently conduct network configuration and ground schematics.Parti[beeep]nts will also receive a certificate of completion, showcasing their proficiency in EPLAN to current and future employers.Join us to master EPLAN and take your electrical design skills to the next level!Please note that NF Click Robots is not a real company; the instructor made up the name. 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Free Download Linkedin - Platform Engineering Foundations Released 10/2024 With Dave Swersky MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 17m 53s | Size: 150 MB Explore the fundamentals of platform engineering. Discover a wide range of options to adopt and adapt platform engineering solutions to any type of enterprise. Course details The software delivery lifecycle has only increased in complexity over the years, along with the infrastructure that supports enterprise systems. Developers now find themselves responsible for an ever-growing list of supporting systems to develop, deploy, and operate software in production. Platform engineering is compelling in its similarity to DevOps and site reliability engineering, while still being focused specifically on platforms. Platform engineers combine platform expertise with software engineering skills to provide developers with best practices for referencing code, automating processes, writing documentation, and more. In this course, instructor Dave Swersky guides you through the fundamentals of platform engineering and how it can benefit you and your company. Along the way, discover a wide range of options to adopt and adapt platform engineering solutions to any type of enterprise. Homepage https://www.linkedin.com/learning/platform-engineering-foundations Screenshot Rapidgator https://rg.to/file/ee25e0c556e5e19618a61e7ae76edb4f/zcxvd.Platform.Engineering.Foundations.rar.html Fikper Free Download https://fikper.com/VGx0ulSoKZ/zcxvd.Platform.Engineering.Foundations.rar.html No Password - Links are Interchangeable

Free Download Introduction to Platform Engineering Published 10/2024 Created by Luca Galante MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 20 Lectures ( 2h 14m ) | Size: 1.65 GB Master the key concepts and frameworks of the emerging discipline of Platform Engineering What you'll learn Platform Engineering Principles Technologies you need to learn to become a Platform Engineer How to build an Internal Developer Platform Why are companies adopting Platform Engineering Platform Engineers vs DevOps Engineers vs SREs How to get a job in Platform Engineering Requirements Basic knowledge of programming and software engineering Description This course offers a thorough and engaging introduction to the foundational principles of platform engineering, helping you with the essential knowledge and practical skills needed to kickstart your career in this fast growing field.Platform engineering is a cornerstone of modern software development, enabling organizations to build scalable, reliable, and efficient infrastructures that empower development teams. In this course, you'll explore a wide range of key concepts, tools, and industry best practices that form the backbone of platform engineering. From mastering the basics of building internal developer platforms and understanding containerization, to delving into DevOps methodologies and different toolchains, you'll gain valuable insights into how platform engineers create robust environments that streamline and enhance the software development lifecycle.What You Will Learn:Core Concepts of Platform Engineering: Grasp the fundamental principles that define platform engineering and its importance in software development.DevOps vs. Platform Engineering: Understand the key distinctions between DevOps practices and platform engineering, and how they complement each other.Internal Developer Platforms: Learn what internal developer platforms are, and how they revolutionize the way teams build, test, and deploy software.Platform-as-a-Product Approach: Discover the value of treating platforms as products, and how this mindset drives innovation and continuous improvement.The Value of Platform Engineering: Explore how platform engineering delivers immense value by optimizing operations, reducing bottlenecks, and enhancing developer productivity.Different Types of Platform Engineers: Gain insights into the various roles within platform engineering and the skills needed for each specialization.Essential Tools for Platform Engineers: Get familiar with the must-have tools and technologies that every platform engineer should know.Industry Status of Platform Engineering: Stay up-to-date with the current trends and developments shaping the platform engineering landscape.By the end of this course, you will have a deep and practical understanding of platform engineering, enabling you to confidently take the next step in your career. Whether you're aspiring to work in innovative startups, established enterprises, or pursue opportunities as a freelancer, this course will equip you with the foundational expertise to succeed in the platform engineering field. Who this course is for Beginners eager to break into platform engineering and DevOps. DevOps professionals looking to expand their knowledge of platform engineering Students interested in technology infrastructure, cloud computing, and automation Anyone curious about the role of platform engineers in modern software teams Homepage https://www.udemy.com/course/introduction-to-platform-engineering/ Screenshot Rapidgator https://rg.to/file/0347e7e99b61c456e70b08157ff6f812/wtdus.Introduction.to.Platform.Engineering.part2.rar.html https://rg.to/file/8483e3fc0b6a376e90c3d92c51fe95fe/wtdus.Introduction.to.Platform.Engineering.part1.rar.html Fikper Free Download https://fikper.com/L6sVzlqcAw/wtdus.Introduction.to.Platform.Engineering.part1.rar.html https://fikper.com/oSI2JHq2kA/wtdus.Introduction.to.Platform.Engineering.part2.rar.html No Password - Links are Interchangeable

Free Download Generative AI for All Practical Prompt Engineering Course Published 10/2024 Created by Ujjwal Singh MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 9 Lectures ( 46m ) | Size: 269 MB Learn Generative AI: Prompt engineering skills to boost your creativity and productivity. What you'll learn Understand the fundamentals of Generative AI Master effective Prompt Engineering techniques Apply Generative AI in real-world scenarios Evaluate and Troubleshoot Prompts for optimal results Requirements No prior knowledge of generative AI or prompt engineering is required. Basic computer proficiency is recommended for navigating online resources. Description Welcome to "Generative AI for All: Practical Prompt Engineering Course"! This course is your gateway to understanding and utilizing generative AI, no matter your background. If you've ever been curious about how AI can create text, images, and more, you're in the right place! We'll break down the essentials and give you the tools to get started. Throughout this course, you'll explore what generative AI is all about, including how popular models like GPT and DALL·E work. But we won't just stop at theory-we'll dive into the exciting world of prompt engineering. You'll learn how to craft clear and effective prompts that help you get the most out of AI tools, making your interactions with them more fruitful and enjoyable. To make things even more practical, you'll engage in hands-on activities that let you apply your skills in real-world scenarios. Whether you want to create engaging content, generate stunning images, or get help with coding, you'll find valuable insights and techniques that you can use right away. Plus, we'll show you how to troubleshoot and refine your prompts for even better results. By the end of the course, you'll have a solid grasp of generative AI and the confidence to use prompt engineering effectively. So, if you're ready to explore the possibilities of AI and unleash your creativity, let's get started on this exciting journey together! Who this course is for This course is tailored for anyone interested in utilizing AI tools like ChatGPT to create outstanding content, no matter their background or skill level. Homepage https://www.udemy.com/course/generative-ai-and-prompt-engineering-with-chatgpt-and-more/ Screenshot Rapidgator https://rg.to/file/60f9f38063e84e954192ba6053ec8f0c/hrubf.Generative.AI.for.All.Practical.Prompt.Engineering.Course.rar.html Fikper Free Download https://fikper.com/a0bqOoksrv/hrubf.Generative.AI.for.All.Practical.Prompt.Engineering.Course.rar.html No Password - Links are Interchangeable

Free Download Fundamentals of Database Engineering Last updated 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 27h 59m | Size: 17.7 GB Learn ACID, Indexing, Partitioning, Sharding, Concurrency control, Replication, DB Engines, Best Practices and More! What you'll learn Learn and understand ACID Properties Database Indexing Database Partitioning Database Replication Database Sharding Database Cursors Concurrency Control (Optimistic, Pessimistic) B-Trees in Production Database Systems Database System Designs Difference between Database Management System, Database Engine and Embedded database Database Engines such as MyISAM, InnoDB, RocksDB, LevelDB and More Benefits of Using one database engine over the other Switching Database Engines with MySQL Database Security Homomorphic Encryption Requirements Have worked with databases before but wish to get deeper understanding Basic SQL knowledge Description Database Engineering is a very interesting sector in software engineering. If you are interested in learning about database engineering you have come to the right place. I have curated this course carefully to discuss the Fundamental concepts of database engineering.This course will not teach you SQL or programming languages, however, it will teach you skillsets and patterns that you can apply in database engineering. A few of the things that you will learn are Indexing, Partitioning, Sharding, Replication, b-trees in-depth indexing, Concurrency control, database engines and security, and much more. I believe that learning the fundamentals of database engineering will equip you with the necessary means to tackle difficult and challenging problems yourself. I always compare engineering to math, you never memorize specific formulas and equations, you know the basic proves and derive and solve any equation one throws at you. Database engineering is similar, you can't possibly say MongoDB is better than MySQL or Postgres is better than Oracle. Instead, you learn your use case and by understanding how each database platform does its own trade-offs you will be able to make optimal decisions. One other thing you will learn in this course is the lowest database interface that talks to the OS which is the database engine. Database engines or storage engines or sometimes even called embedded databases is a software library that a database management software uses to store data on disk and do CRUD (create update delete) Embedded means move everything in one software no network client-server. In this video course, I want to go through the few popular database engines, explain the differences between them, and finally, I want to spin up a database and change its engine and show the different features of each engine. Enjoy the course. 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Free Download Diploma in safety engineering Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 3h 34m | Size: 2.31 GB Construction Safety Management ,Manufacturing Safety Best Practices, What you'll learn Safety Engineering graduates become proficient in identifying, assessing, and mitigating hazards, ensuring a safer work environment. Analyze hazards and risks Implement safety management system Evaluate safety performance You can become professional safety officer Requirements English communication Description course Description:This comprehensive course equips parti[beeep]nts with the knowledge and skills to identify, assess, and control hazards in the workplace. Learn how to develop and implement effective safety management systems, conduct risk assessments, and ensure compliance with regulatory requirements.Course Objectives:1. Understand safety fundamentals and regulations2. Identify and control workplace hazards3. Conduct risk assessments and implement controls4. Develop and implement safety management systems5. Ensure compliance with regulatory requirements6. Investigate incidents and near-misses7. Enhance safety culture and employee engagementCourse Outline:1. Introduction to Safety Management2. Hazard Identification and Risk Assessment3. Safety Legislation and Regulations4. Safety Management Systems (SMS)5. Incident Investigation and Reporting6. Emergency Response Planning7. Safety Training and Awareness8. Workplace Inspections and AuditsServices:1. Risk assessments and hazard identification2. Safety policy development and implementation3. Compliance audits and regulatory updates4. Safety training and awareness programs5. Incident investigation and reporting6. Emergency response planning7. Workplace inspections and audits8. Health and safety management system (HSMS) development9. OHSAS 18001/ISO 45001 implementation10. Safety culture developmentTheory:1. Safety fundamentals2. Risk management3. Hazard analysis4. System safety5. Human factors engineering Who this course is for Students Homepage https://www.udemy.com/course/diploma-in-safety-engineering/ Screenshot Rapidgator https://rg.to/file/09fd705d4ad9570f27d29bf4aef447a7/ofxev.Diploma.in.safety.engineering.part3.rar.html https://rg.to/file/2e25b6cd62b6ee670ee7a27a6edceb53/ofxev.Diploma.in.safety.engineering.part1.rar.html https://rg.to/file/f11069cc4f6356abe910ff6dbbde6cfb/ofxev.Diploma.in.safety.engineering.part2.rar.html Fikper Free Download https://fikper.com/7hclKBc6WW/ofxev.Diploma.in.safety.engineering.part1.rar.html https://fikper.com/MeqxccKK6u/ofxev.Diploma.in.safety.engineering.part3.rar.html https://fikper.com/xzQqGdUkG4/ofxev.Diploma.in.safety.engineering.part2.rar.html No Password - Links are Interchangeable

Free Download Data Engineering using AWS Data Analytics Last updated 2/2023 Created by Durga Viswanatha Raju Gadiraju,Pratik Kumar,Sathvika Dandu,Madhuri Gadiraju,Sai Varma,Phani Bhushan Bozzam MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 434 Lectures ( 26h 15m ) | Size: 7.77 GB Build Data Engineering Pipelines on AWS using Data Analytics Services - Glue, EMR, Athena, Kinesis, Lambda, Redshift What you'll learn Data Engineering leveraging Services under AWS Data Analytics AWS Essentials such as s3, IAM, EC2, etc Understanding AWS s3 for cloud based storage Understanding details related to virtual machines on AWS known as EC2 Managing AWS IAM users, groups, roles and policies for RBAC (Role Based Access Control) Managing Tables using AWS Glue Catalog Engineering Batch Data Pipelines using AWS Glue Jobs Orchestrating Batch Data Pipelines using AWS Glue Workflows Running Queries using AWS Athena - Server less query engine service Using AWS Elastic Map Reduce (EMR) Clusters for building Data Pipelines Using AWS Elastic Map Reduce (EMR) Clusters for reports and dashboards Data Ingestion using AWS Lambda Functions Scheduling using AWS Events Bridge Engineering Streaming Pipelines using AWS Kinesis Streaming Web Server logs using AWS Kinesis Firehose Overview of data processing using AWS Athena Running AWS Athena queries or commands using CLI Running AWS Athena queries using Python boto3 Creating AWS Redshift Cluster, Create tables and perform CRUD Operations Copy data from s3 to AWS Redshift Tables Understanding Distribution Styles and creating tables using Distkeys Running queries on external RDBMS Tables using AWS Redshift Federated Queries Running queries on Glue or Athena Catalog tables using AWS Redshift Spectrum Requirements A Computer with at least 8 GB RAM Programming Experience using Python is highly desired as some of the topics are demonstrated using Python SQL Experience is highly desired as some of the topics are demonstrated using SQL Nice to have Data Engineering Experience using Pandas or Pyspark This course is ideal for experienced data engineers to add AWS Analytics Services as key skills to their profile Description Data Engineering is all about building Data Pipelines to get data from multiple sources into Data Lakes or Data Warehouses and then from Data Lakes or Data Warehouses to downstream systems. As part of this course, I will walk you through how to build Data Engineering Pipelines using AWS Data Analytics Stack. It includes services such as Glue, Elastic Map Reduce (EMR), Lambda Functions, Athena, EMR, Kinesis, and many more.Here are the high-level steps which you will follow as part of the course.Setup Development EnvironmentGetting Started with AWSStorage - All about AWS s3 (Simple Storage Service)User Level Security - Managing Users, Roles, and Policies using IAMInfrastructure - AWS EC2 (Elastic Cloud Compute)Data Ingestion using AWS Lambda FunctionsOverview of AWS Glue ComponentsSetup Spark History Server for AWS Glue JobsDeep Dive into AWS Glue CatalogExploring AWS Glue Job APIsAWS Glue Job BookmarksDevelopment Life Cycle of PysparkGetting Started with AWS EMRDeploying Spark Applications using AWS EMRStreaming Pipeline using AWS KinesisConsuming Data from AWS s3 using boto3 ingested using AWS KinesisPopulating GitHub Data to AWS DynamodbOverview of Amazon AWS AthenaAmazon AWS Athena using AWS CLIAmazon AWS Athena using Python boto3Getting Started with Amazon AWS RedshiftCopy Data from AWS s3 into AWS Redshift TablesDevelop Applications using AWS Redshift ClusterAWS Redshift Tables with Distkeys and SortkeysAWS Redshift Federated Queries and SpectrumHere are the details about what you will be learning as part of this course. We will cover most of the commonly used services with hands-on practice which are available under AWS Data Analytics.Getting Started with AWSAs part of this section, you will be going through the details related to getting started with AWS.Introduction - AWS Getting StartedCreate s3 BucketCreate AWS IAM Group and AWS IAM User to have required access on s3 Bucket and other servicesOverview of AWS IAM RolesCreate and Attach Custom AWS IAM Policy to both AWS IAM Groups as well as UsersConfigure and Validate AWS CLI to access AWS Services using AWS CLI CommandsStorage - All about AWS s3 (Simple Storage Service)AWS s3 is one of the most prominent fully managed AWS services. All IT professionals who would like to work on AWS should be familiar with it. We will get into quite a few common features related to AWS s3 in this section.Getting Started with AWS S3Setup Data Set locally to upload to AWS s3Adding AWS S3 Buckets and Managing Objects (files and folders) in AWS s3 bucketsVersion Control for AWS S3 BucketsCross-Region Replication for AWS S3 BucketsOverview of AWS S3 Storage ClassesOverview of AWS S3 GlacierManaging AWS S3 using AWS CLI CommandsManaging Objects in AWS S3 using CLI - LabUser Level Security - Managing Users, Roles, and Policies using IAMOnce you start working on AWS, you need to understand the permissions you have as a non-admin user. As part of this section, you will understand the details related to AWS IAM users, groups, roles as well as policies.Creating AWS IAM UsersLogging into AWS Management Console using AWS IAM UserValidate Programmatic Access to AWS IAM UserAWS IAM Identity-based PoliciesManaging AWS IAM GroupsManaging AWS IAM RolesOverview of Custom AWS IAM PoliciesManaging AWS IAM users, groups, roles as well as policies using AWS CLI CommandsInfrastructure - AWS EC2 (Elastic Cloud Compute) BasicsAWS EC2 Instances are nothing but virtual machines on AWS. As part of this section, we will go through some of the basics related to AWS EC2 Basics.Getting Started with AWS EC2Create AWS EC2 Key PairLaunch AWS EC2 InstanceConnecting to AWS EC2 InstanceAWS EC2 Security Groups BasicsAWS EC2 Public and Private IP AddressesAWS EC2 Life CycleAllocating and Assigning AWS Elastic IP AddressManaging AWS EC2 Using AWS CLIUpgrade or Downgrade AWS EC2 InstancesInfrastructure - AWS EC2 AdvancedIn this section, we will continue with AWS EC2 to understand how we can manage EC2 instances using AWS Commands and also how to install additional OS modules leveraging bootstrap scripts.Getting Started with AWS EC2Understanding AWS EC2 MetadataQuerying on AWS EC2 MetadataFitering on AWS EC2 MetadataUsing Bootstrapping Scripts with AWS EC2 Instances to install additional softwares on AWS EC2 instancesCreate an AWS AMI using AWS EC2 InstancesValidate AWS AMI - LabData Ingestion using Lambda FunctionsAWS Lambda functions are nothing but serverless functions. In this section, we will understand how we can develop and deploy Lambda functions using Python as a programming language. We will also see how to maintain a bookmark or checkpoint using s3.Hello World using AWS LambdaSetup Project for local development of AWS Lambda FunctionsDeploy Project to AWS Lambda consoleDevelop download functionality using requests for AWS Lambda FunctionsUsing 3rd party libraries in AWS Lambda FunctionsValidating AWS s3 access for local development of AWS Lambda FunctionsDevelop upload functionality to s3 using AWS Lambda FunctionsValidating AWS Lambda Functions using AWS Lambda ConsoleRun AWS Lambda Functions using AWS Lambda ConsoleValidating files incrementally downloaded using AWS Lambda FunctionsReading and Writing Bookmark to s3 using AWS Lambda FunctionsMaintaining Bookmark on s3 using AWS Lambda FunctionsReview the incremental upload logic developed using AWS Lambda FunctionsDeploying AWS Lambda FunctionsSchedule AWS Lambda Functions using AWS Event BridgeOverview of AWS Glue ComponentsIn this section, we will get a broad overview of all important Glue Components such as Glue Crawler, Glue Databases, Glue Tables, etc. We will also understand how to validate Glue tables using AWS Athena. AWS Glue (especially Glue Catalog) is one of the key components in the realm of AWS Data Analytics Services.Introduction - Overview of AWS Glue ComponentsCreate AWS Glue Crawler and AWS Glue Catalog Database as well as TableAnalyze Data using AWS AthenaCreating AWS S3 Bucket and Role to create AWS Glue Catalog Tables using Crawler on the s3 locationCreate and Run the AWS Glue Job to process data in AWS Glue Catalog TablesValidate using AWS Glue Catalog Table and by running queries using AWS AthenaCreate and Run AWS Glue TriggerCreate AWS Glue WorkflowRun AWS Glue Workflow and ValidateSetup Spark History Server for AWS Glue JobsAWS Glue uses Apache Spark under the hood to process the data. It is important we setup Spark History Server for AWS Glue Jobs to troubleshoot any issues.Introduction - Spark History Server for AWS GlueSetup Spark History Server on AWSClone AWS Glue Samples repositoryBuild AWS Glue Spark UI ContainerUpdate AWS IAM Policy PermissionsStart AWS Glue Spark UI ContainerDeep Dive into AWS Glue CatalogAWS Glue has several components, but the most important ones are nothing but AWS Glue Crawlers, Databases as well as Catalog Tables. In this section, we will go through some of the most important and commonly used features of the AWS Glue Catalog.Prerequisites for AWS Glue Catalog TablesSteps for Creating AWS Glue Catalog TablesDownload Data Set to use to create AWS Glue Catalog TablesUpload data to s3 to crawl using AWS Glue Crawler to create required AWS Glue Catalog TablesCreate AWS Glue Catalog Database - itvghlandingdbCreate AWS Glue Catalog Table - ghactivityRunning Queries using AWS Athena - ghactivityCrawling Multiple Folders using AWS Glue CrawlersManaging AWS Glue Catalog using AWS CLIManaging AWS Glue Catalog using Python Boto3Exploring AWS Glue Job APIsOnce we deploy AWS Glue jobs, we can manage them using AWS Glue Job APIs. In this section we will get overview of AWS Glue Job APIs to run and manage the jobs.Update AWS IAM Role for AWS Glue JobGenerate baseline AWS Glue JobRunning baseline AWS Glue JobAWS Glue Script for Partitioning DataValidating using AWS AthenaUnderstanding AWS Glue Job BookmarksAWS Glue Job Bookmarks can be leveraged to maintain the bookmarks or checkpoints for incremental loads. In this section, we will go through the details related to AWS Glue Job Bookmarks.Introduction to AWS Glue Job BookmarksCleaning up the data to run AWS Glue JobsOverview of AWS Glue CLI and CommandsRun AWS Glue Job using AWS Glue BookmarkValidate AWS Glue Bookmark using AWS CLIAdd new data to the landing zone to run AWS Glue Jobs using BookmarksRerun AWS Glue Job using BookmarkValidate AWS Glue Job Bookmark and Files for Incremental runRecrawl the AWS Glue Catalog Table using AWS CLI CommandsRun AWS Athena Queries for Data ValidationDevelopment Lifecycle for PysparkIn this section, we will focus on the development of Spark applications using Pyspark. We will use this application later while exploring EMR in detail.Setup Virtual Environment and Install PysparkGetting Started with PycharmPassing Run Time ArgumentsAccessing OS Environment VariablesGetting Started with SparkCreate Function for Spark SessionSetup Sample DataRead data from filesProcess data using Spark APIsWrite data to filesValidating Writing Data to FilesProductionizing the CodeGetting Started with AWS EMR (Elastic Map Reduce)As part of this section, we will understand how to get started with AWS EMR Cluster. We will primarily focus on AWS EMR Web Console. Elastic Map Reduce is one of the key service in AWS Data Analytics Services which provide capability to run applications which process large scale data leveraging distributed computing frameworks such as Spark.Planning for AWS EMR ClusterCreate AWS EC2 Key Pair for AWS EMR ClusterSetup AWS EMR Cluster with Apache SparkUnderstanding Summary of AWS EMR ClusterReview AWS EMR Cluster Application User InterfacesReview AWS EMR Cluster MonitoringReview AWS EMR Cluster Hardware and Cluster Scaling PolicyReview AWS EMR Cluster ConfigurationsReview AWS EMR Cluster EventsReview AWS EMR Cluster StepsReview AWS EMR Cluster Bootstrap ActionsConnecting to AWS EMR Master Node using SSHDisabling Termination Protection for AWS EMR Cluster and Terminating the AWS EMR ClusterClone and Create a New AWS EMR ClusterListing AWS S3 Buckets and Objects using AWS CLI on AWS EMR ClusterListing AWS S3 Buckets and Objects using HDFS CLI on AWS EMR ClusterManaging Files in AWS S3 using HDFS CLI on AWS EMR ClusterReview AWS Glue Catalog Databases and TablesAccessing AWS Glue Catalog Databases and Tables using AWS EMR ClusterAccessing spark-sql CLI of AWS EMR ClusterAccessing pyspark CLI of AWS EMR ClusterAccessing spark-shell CLI of AWS EMR ClusterCreate AWS EMR Cluster for NotebooksDeploying Spark Applications using AWS EMRAs part of this section, we will understand how we typically deploy Spark Applications using AWS EMR. We will be using the Spark Application we deployed earlier.Deploying Applications using AWS EMR - IntroductionSetup AWS EMR Cluster to deploy applicationsValidate SSH Connectivity to Master node of AWS EMR ClusterSetup Jupyter Notebook Environment on AWS EMR ClusterCreate required AWS s3 Bucket for AWS EMR ClusterUpload GHActivity Data to s3 so that we can process using Spark Application deployed on AWS EMR ClusterValidate Application using AWS EMR Compatible Versions of Python and SparkDeploy Spark Application to AWS EMR Master NodeCreate user space for ec2-user on AWS EMR ClusterRun Spark Application using spark-submit on AWS EMR Master NodeValidate Data using Jupyter Notebooks on AWS EMR ClusterClone and Start Auto Terminated AWS EMR ClusterDelete Data Populated by GHAcitivity Application using AWS EMR ClusterDifferences between Spark Client and Cluster Deployment Modes on AWS EMR ClusterRunning Spark Application using Cluster Mode on AWS EMR ClusterOverview of Adding Pyspark Application as Step to AWS EMR ClusterDeploy Spark Application to AWS S3 to run using AWS EMR StepsRunning Spark Applications as AWS EMR Steps in client modeRunning Spark Applications as AWS EMR Steps in cluster modeValidate AWS EMR Step Execution of Spark ApplicationStreaming Data Ingestion Pipeline using AWS KinesisAs part of this section, we will go through details related to the streaming data ingestion pipeline using AWS Kinesis which is a streaming service of AWS Data Analytics Services. We will use AWS Kinesis Firehose Agent and AWS Kinesis Delivery Stream to read the data from log files and ingest it into AWS s3.Building Streaming Pipeline using AWS Kinesis Firehose Agent and Delivery StreamRotating Logs so that the files are created frequently which will be eventually ingested using AWS Kinesis Firehose Agent and AWS Kinesis Firehose Delivery StreamSet up AWS Kinesis Firehose Agent to get data from logs into AWS Kinesis Delivery Stream.Create AWS Kinesis Firehose Delivery StreamPlanning the Pipeline to ingest data into s3 using AWS Kinesis Delivery StreamCreate AWS IAM Group and User for Streaming Pipelines using AWS Kinesis ComponentsGranting Permissions to AWS IAM User using Policy for Streaming Pipelines using AWS Kinesis ComponentsConfigure AWS Kinesis Firehose Agent to read the data from log files and ingest it into AWS Kinesis Firehose Delivery Stream.Start and Validate AWS Kinesis Firehose AgentConclusion - Building Simple Steaming Pipeline using AWS Kinesis FirehoseConsuming Data from AWS s3 using Python boto3 ingested using AWS KinesisAs data is ingested into AWS S3, we will understand how data can ingested in AWS s3 can be processed using boto3.Customizing AWS s3 folder using AWS Kinesis Delivery StreamCreate AWS IAM Policy to read from AWS s3 BucketValidate AWS s3 access using AWS CLISetup Python Virtual Environment to explore boto3Validating access to AWS s3 using Python boto3Read Content from AWS s3 objectRead multiple AWS s3 ObjectsGet the number of AWS s3 Objects using MarkerGet the size of AWS s3 Objects using MarkerPopulating GitHub Data to AWS DynamodbAs part of this section, we will understand how we can populate data to AWS Dynamodb tables using Python as a programming language.Install required libraries to get GitHub Data to AWS Dynamodb tables.Understanding GitHub APIsSetting up GitHub API TokenUnderstanding GitHub Rate LimitCreate New Repository for sinceExtracting Required Information using PythonProcessing Data using PythonGrant Permissions to create AWS dynamodb tables using boto3Create AWS Dynamodb TablesAWS Dynamodb CRUD OperationsPopulate AWS Dynamodb TableAWS Dynamodb Batch OperationsOverview of Amazon AWS AthenaAs part of this section, we will understand how to get started with AWS Athena using AWS Web console. We will also focus on basic DDL and DML or CRUD Operations using AWS Athena Query Editor.Getting Started with Amazon AWS AthenaQuick Recap of AWS Glue Catalog Databases and TablesAccess AWS Glue Catalog Databases and Tables using AWS Athena Query EditorCreate a Database and Table using AWS AthenaPopulate Data into Table using AWS AthenaUsing CTAS to create tables using AWS AthenaOverview of Amazon AWS Athena ArchitectureAmazon AWS Athena Resources and relationship with HiveCreate a Partitioned Table using AWS AthenaDevelop Query for Partitioned ColumnInsert into Partitioned Tables using AWS AthenaValidate Data Partitioning using AWS AthenaDrop AWS Athena Tables and Delete Data FilesDrop Partitioned Table using AWS AthenaData Partitioning in AWS Athena using CTASAmazon AWS Athena using AWS CLIAs part of this section, we will understand how to interact with AWS Athena using AWS CLI Commands.Amazon AWS Athena using AWS CLI - IntroductionGet help and list AWS Athena databases using AWS CLIManaging AWS Athena Workgroups using AWS CLIRun AWS Athena Queries using AWS CLIGet AWS Athena Table Metadata using AWS CLIRun AWS Athena Queries with a custom location using AWS CLIDrop AWS Athena table using AWS CLIRun CTAS under AWS Athena using AWS CLIAmazon AWS Athena using Python boto3As part of this section, we will understand how to interact with AWS Athena using Python boto3.Amazon AWS Athena using Python boto3 - IntroductionGetting Started with Managing AWS Athena using Python boto3List Amazon AWS Athena Databases using Python boto3List Amazon AWS Athena Tables using Python boto3Run Amazon AWS Athena Queries with boto3Review AWS Athena Query Results using boto3Persist Amazon AWS Athena Query Results in Custom Location using boto3Processing AWS Athena Query Results using PandasRun CTAS against Amazon AWS Athena using Python boto3Getting Started with Amazon AWS RedshiftAs part of this section, we will understand how to get started with AWS Redshift using AWS Web console. We will also focus on basic DDL and DML or CRUD Operations using AWS Redshift Query Editor.Getting Started with Amazon AWS Redshift - IntroductionCreate AWS Redshift Cluster using Free TrialConnecting to Database using AWS Redshift Query EditorGet a list of tables querying information schemaRun Queries against AWS Redshift Tables using Query EditorCreate AWS Redshift Table using Primary KeyInsert Data into AWS Redshift TablesUpdate Data in AWS Redshift TablesDelete data from AWS Redshift tablesRedshift Saved Queries using Query EditorDeleting AWS Redshift ClusterRestore AWS Redshift Cluster from SnapshotCopy Data from s3 into AWS Redshift TablesAs part of this section, we will go through the details about copying data from s3 into AWS Redshift tables using the AWS Redshift Copy command.Copy Data from s3 to AWS Redshift - IntroductionSetup Data in s3 for AWS Redshift CopyCopy Database and Table for AWS Redshift Copy CommandCreate IAM User with full access on s3 for AWS Redshift CopyRun Copy Command to copy data from s3 to AWS Redshift TableTroubleshoot Errors related to AWS Redshift Copy CommandRun Copy Command to copy from s3 to AWS Redshift tableValidate using queries against AWS Redshift TableOverview of AWS Redshift Copy CommandCreate IAM Role for AWS Redshift to access s3Copy Data from s3 to AWS Redshift table using IAM RoleSetup JSON Dataset in s3 for AWS Redshift Copy CommandCopy JSON Data from s3 to AWS Redshift table using IAM RoleDevelop Applications using AWS Redshift ClusterAs part of this section, we will understand how to develop applications against databases and tables created as part of AWS Redshift Cluster.Develop application using AWS Redshift Cluster - IntroductionAllocate Elastic Ip for AWS Redshift ClusterEnable Public Accessibility for AWS Redshift ClusterUpdate Inbound Rules in Security Group to access AWS Redshift ClusterCreate Database and User in AWS Redshift ClusterConnect to the database in AWS Redshift using psqlChange Owner on AWS Redshift TablesDownload AWS Redshift JDBC Jar fileConnect to AWS Redshift Databases using IDEs such as SQL WorkbenchSetup Python Virtual Environment for AWS RedshiftRun Simple Query against AWS Redshift Database Table using PythonTruncate AWS Redshift Table using PythonCreate IAM User to copy from s3 to AWS Redshift TablesValidate Access of IAM User using Boto3Run AWS Redshift Copy Command using PythonAWS Redshift Tables with Distkeys and SortkeysAs part of this section, we will go through AWS Redshift-specific features such as distribution keys and sort keys to create AWS Redshift tables.AWS Redshift Tables with Distkeys and Sortkeys - IntroductionQuick Review of AWS Redshift ArchitectureCreate multi-node AWS Redshift ClusterConnect to AWS Redshift Cluster using Query EditorCreate AWS Redshift DatabaseCreate AWS Redshift Database UserCreate AWS Redshift Database SchemaDefault Distribution Style of AWS Redshift TableGrant Select Permissions on Catalog to AWS Redshift Database UserUpdate Search Path to query AWS Redshift system tablesValidate AWS Redshift table with DISTSTYLE AUTOCreate AWS Redshift Cluster from Snapshot to the original stateOverview of Node Slices in AWS Redshift ClusterOverview of Distribution Styles related to AWS Redshift tablesDistribution Strategies for retail tables in AWS Redshift DatabasesCreate AWS Redshift tables with distribution style allTroubleshoot and Fix Load or Copy ErrorsCreate AWS Redshift Table with Distribution Style AutoCreate AWS Redshift Tables using Distribution Style KeyDelete AWS Redshift Cluster with a manual snapshotAWS Redshift Federated Queries and SpectrumAs part of this section, we will go through some of the advanced features of Redshift such as AWS Redshift Federated Queries and AWS Redshift Spectrum.AWS Redshift Federated Queries and Spectrum - IntroductionOverview of integrating AWS RDS and AWS Redshift for Federated QueriesCreate IAM Role for AWS Redshift ClusterSetup Postgres Database Server for AWS Redshift Federated QueriesCreate tables in Postgres Database for AWS Redshift Federated QueriesCreating Secret using Secrets Manager for Postgres DatabaseAccessing Secret Details using Python Boto3Reading Json Data to Dataframe using PandasWrite JSON Data to AWS Redshift Database Tables using PandasCreate AWS IAM Policy for Secret and associate with Redshift RoleCreate AWS Redshift Cluster using AWS IAM Role with permissions on secretCreate AWS Redshift External Schema to Postgres DatabaseUpdate AWS Redshift Cluster Network Settings for Federated QueriesPerforming ETL using AWS Redshift Federated QueriesClean up resources added for AWS Redshift Federated QueriesGrant Access on AWS Glue Data Catalog to AWS Redshift Cluster for SpectrumSetup AWS Redshift Clusters to run queries using SpectrumQuick Recap of AWS Glue Catalog Database and Tables for AWS Redshift SpectrumCreate External Schema using AWS Redshift SpectrumRun Queries using AWS Redshift SpectrumCleanup the AWS Redshift Cluster Who this course is for Beginner or Intermediate Data Engineers who want to learn AWS Analytics Services for Data Engineering Intermediate Application Engineers who want to explore Data Engineering using AWS Analytics Services Data and Analytics Engineers who want to learn Data Engineering using AWS Analytics Services Testers who want to learn key skills to test Data Engineering applications built using AWS Analytics Services Homepage https://www.udemy.com/course/data-engineering-using-aws-analytics-services/ Screenshot Rapidgator https://rg.to/file/2920699636897ec371102bdb027e8885/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part05.rar.html https://rg.to/file/2b9aa74769b487eaaedd3eec96345e51/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part04.rar.html https://rg.to/file/45d0ce3bc16db1d6999d3e6f18531e4c/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part06.rar.html https://rg.to/file/d29ebd836544f98050324f6aa8bef726/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part08.rar.html https://rg.to/file/d6f9f7479e24d0907c1621c594edb1fc/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part03.rar.html https://rg.to/file/e60b71f472370ab29b7e10f24d6cbe91/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part02.rar.html https://rg.to/file/e7a08371221bd4424901c60b4e7c8dd4/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part01.rar.html https://rg.to/file/ef32aa5500311afe27cc6fad7604a04d/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part07.rar.html Fikper Free Download https://fikper.com/1gyNST3T5B/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part02.rar.html https://fikper.com/BbGZKWTfP1/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part01.rar.html https://fikper.com/DJBmRaMzGu/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part03.rar.html https://fikper.com/SXxm2gI5gG/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part08.rar.html https://fikper.com/V3HWO9bEX3/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part05.rar.html https://fikper.com/m68l9B0z0U/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part06.rar.html https://fikper.com/yW1sDrNVjo/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part07.rar.html https://fikper.com/zvCGisvXzn/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part04.rar.html No Password - 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Free Download Data Engineering on Azure, Video Edition Released 8/2021 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 8h 13m | Size: 1.2 GB Build a data platform to the industry-leading standards set by Microsoft's own infrastructure. In Data Engineering on Azure you will learn how to Pick the right Azure services for different data scenarios Manage data inventory Implement production quality data modeling, analytics, and machine learning workloads Handle data governance Using DevOps to increase reliability Ingesting, storing, and distributing data Apply best practices for compliance and access control Data Engineering on Azure reveals the data management patterns and techniques that support Microsoft's own massive data infrastructure. Author Vlad Riscutia, a data engineer at Microsoft, teaches you to bring an engineering rigor to your data platform and ensure that your data prototypes function just as well under the pressures of production. You'll implement common data modeling patterns, stand up cloud-native data platforms on Azure, and get to grips with DevOps for both analytics and machine learning. About the Technology Build secure, stable data platforms that can scale to loads of any size. When a project moves from the lab into production, you need confidence that it can stand up to real-world challenges. This book teaches you to design and implement cloud-based data infrastructure that you can easily monitor, scale, and modify. About the Book In Data Engineering on Azure you'll learn the skills you need to build and maintain big data platforms in massive enterprises. This invaluable guide includes clear, practical guidance for setting up infrastructure, orchestration, workloads, and governance. As you go, you'll set up efficient machine learning pipelines, and then master time-saving automation and DevOps solutions. The Azure-based examples are easy to reproduce on other cloud platforms. What's Inside Data inventory and data governance Assure data quality, compliance, and distribution Build automated pipelines to increase reliability Ingest, store, and distribute data Production-quality data modeling, analytics, and machine learning About the Reader For data engineers familiar with cloud computing and DevOps. About the Author Vlad Riscutia is a software architect at Microsoft. Screenshot Rapidgator https://rg.to/file/134689e5c03576ccbb133d6a0b69244d/booxu.Data.Engineering.on.Azure.Video.Edition.part2.rar.html https://rg.to/file/62dee5a97a55e1a34447350747dbeefb/booxu.Data.Engineering.on.Azure.Video.Edition.part1.rar.html Fikper Free Download https://fikper.com/E0aOQXxhOG/booxu.Data.Engineering.on.Azure.Video.Edition.part2.rar.html https://fikper.com/dNrk0kCYVI/booxu.Data.Engineering.on.Azure.Video.Edition.part1.rar.html No Password - Links are Interchangeable

Free Download ChatGPT And Prompt Engineering Mastery Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 4.41 GB | Duration: 2h 4m The Essential Guide on Your Journey from ChatGPT and Prompt Engineering Novice to Wizard What you'll learn Getting started with ChatGPT - even if you have no prior knowledge and zeo technical background What can ChatGPT do for you - how to use ChatGPT in professional and everyday lives Basic prompt engineering skills to get the most out of your interactions with ChatGPT Advanced prompting techniques for more complicated task, to move you beyond the basics Practical use cases to show you how you can apply your prompting skills in real-life scenarios What are the key components of an effective prompts? How to put them together into your prompts How to structure effective prompts with a proven-to-work prompt framework to ensure clarity, specificity, and precision in interactions with ChatGPT Multi-step prompting techniques - how to systematically guide ChatGPT to deliver more refined, accurate, and detailed responses How to use ChatGPT for specific professional tasks: report generation, email drafting, interview preparation... 10 use cases included! How to prepare ChatGPT with the correct background information and context to help it to tailor its responses to your specific needs Tired of wracking your brain while trying to construct the perfect prompt? Why not let ChatGPT do the heavy lifting for you? Here's how Understanding the limitations of ChatGPT so that you know how far its capabilities extend to Requirements No prior experience in ChatGPT and prompt engineering needed Zero technical background - No problem! Basic computer skills and the ability to browse the internet (which you already have!) Description "ChatGPT and Prompt Engineering Mastery" is a comprehensive course that gives you a winning edge in ChatGPT and Prompt Engineering, whether for work or in your everyday life-even if you have no prior experience with AI, ChatGPT, or prompt engineering, and no technical background at all.Best of all, you can achieve this in as little as 3 hours after work or on the weekend, at your own pace and on your own schedule!We do this by not only equipping you with the foundations of ChatGPT and prompt engineering, but also demonstrating how to put this knowledge to use with tons of examples (with more than 10 practical use cases and tons of sample prompts included!)Simply put... This course allows you to start using ChatGPT and become proficient in prompt engineering, even if you are a complete beginner.We only ask for 3 hours of time investment from you. And as a result, you gain a winning edge in your professional and everyday life. While your peers are still sitting on the fence about using AI, you're already mastering it.Recently Updated: Now includes Additional Materials to get complete beginners up to speed in no time, which cover the very basic from ChatGPT registration, user interface walkthrough, to which version you should use. Check this out!Enroll in the course NOW! Overview Section 1: Introduction to ChatGPT and Prompt Engineering Lecture 1 Welcome to Our Course! Lecture 2 What Can ChatGPT Do For You Lecture 3 What is Prompt Engineering Lecture 4 Realistic Expectations Section 2: Fundamentals of Crafting Effective Prompts Lecture 5 Inroduction to Section 2 Lecture 6 Clarity and Specificity Lecture 7 Structuring Your Prompts Effectively - Introduction to Prompt Framework Lecture 8 Sample Prompts Constructed with the Prompt Framework Lecture 9 Balancing Open-Ended and Closed-Ended Questions Lecture 10 Closing Section 3: Multi-Step Prompting and Strategies for Clarifying and Refining Prompt Lecture 11 Introduction to Section 3 Lecture 12 Prompt Priming: Setting the Stage Lecture 13 Zero-shot, One-shot, and Multiple-shot Prompting Lecture 14 Follow-Up Prompting Lecture 15 Closing Section 4: Advanced Prompting Techniques Lecture 16 Introduction to Section 4 Lecture 17 Ask Before Answer Lecture 18 Fill in the Blank Prompting Lecture 19 Chain of Thoughts Lecture 20 Reverse Prompting Lecture 21 Split Complex Tasks into Simpler Subtasks Lecture 22 Closing Section 5: Practical Applications of ChatGPT in Everyday Life Lecture 23 Introduction to Section 5 Lecture 24 Personal Productivity and Organization Lecture 25 Use Case 1: Workout Planning Lecture 26 Use Case 2: Music Companion Lecture 27 Use Case 3: Day Scheduling Lecture 28 Learning and Studies Lecture 29 Use Case 4: Assistance with Homework and Studies Lecture 30 Use Case 5: Enhancing Creative Writing Skills Lecture 31 Professional Use Cases Lecture 32 Use Case 6: E-mail Drafting and Communication Lecture 33 Use Case 7: Interview Preparation Lecture 34 Use Case 8: Report Generation and Data Analysis Lecture 35 Use Case 9: Crafting Well-Structured Reports Lecture 36 Use Case 10: Addressing Online Marketing Challenges Lecture 37 Closing Section 6: Understanding ChatGPT's Limitations Lecture 38 Introduction to Section 6 Lecture 39 ChatGPT's Training Data Cut-off Lecture 40 Generalized Responses Lecture 41 The Challenge of Complex Problem Solving Lecture 42 Emotional Intelligence Lecture 43 Closing - Reflecting on ChatGPT's Limitations Section 7: Course Conclusion Lecture 44 Embracing Your Future with AI Section 8: Additional Contents for Complete ChatGPT Beginners Lecture 45 ChatGPT Registration Lecture 46 Familiarizing with ChatGPT User Interface Lecture 47 Differences Between ChatGPT 3.5 and ChatGPT 4 Lecture 48 ChatGPT Updates: ChatGPT 4o and ChatGPT 4o Mini Complete beginners who want to get started using ChatGPT - even if it's your first exposure to ChatGPT,ChatGPT users who already have some experienced using ChatGPT, but want to get the most out of it,ChatGPT users with some experience who want to learn how to craft prompts that yield the best results from their interactions with the tool,Professionals seeking to make ChatGPT and prompt engineering their competitive advantage,Professionals looking to integrate ChatGPT into their workflow to boost productivity, streamline communication, and handle tasks like drafting emails, reports, and data analysis,Aspiring prompt engineers who want to learn how to craft effective prompts for ChatGPT and leverage prompt engineering as a skill to improve AI responses,Business owners and entrepreneurs seeking to incorporate AI into their businesses for automating workflows, engaging customers, and improving marketing efforts,Freelancers aiming to optimize their workflow, brainstorm ideas, or generate content more efficiently with ChatGPT,Content creators and marketers figuring out the way to use ChatGPT for creative content generation, marketing strategies, or improving SEO and ad copy,Students and lifelong learners who want to use ChatGPT as a learning companion for studying, researching, or writing,Budding managers who want to streamline communication, manage tasks, and enhance problem-solving through ChatGPT,Educators and teachers interested in using ChatGPT for lesson planning, brainstorming, and enriching their lesson contents,Tech-savvy professionals who want to stay competitive by learning advanced prompting techniques to improve efficiency,AI enthusiasts eager to explore the practical applications of ChatGPT in everyday life Screenshot Homepage https://www.udemy.com/course/chatgpt-and-prompt-engineering-mastery/ Rapidgator https://rg.to/file/10f95ecb8e1c729e0e647c656287e3b4/blzga.ChatGPT.And.Prompt.Engineering.Mastery.part2.rar.html https://rg.to/file/1df22db4216e1bb4c396a00c8e622659/blzga.ChatGPT.And.Prompt.Engineering.Mastery.part3.rar.html https://rg.to/file/8ff760930668e225ff32357253f89439/blzga.ChatGPT.And.Prompt.Engineering.Mastery.part5.rar.html https://rg.to/file/acb7a573caa0233d02128f958fcab0a5/blzga.ChatGPT.And.Prompt.Engineering.Mastery.part1.rar.html https://rg.to/file/c6ec4f2d14a40770823e3d99e75459bb/blzga.ChatGPT.And.Prompt.Engineering.Mastery.part4.rar.html Fikper Free Download https://fikper.com/8t7nTxNXNg/blzga.ChatGPT.And.Prompt.Engineering.Mastery.part5.rar.html https://fikper.com/Qyl4E7o981/blzga.ChatGPT.And.Prompt.Engineering.Mastery.part1.rar.html https://fikper.com/RrHKAQqM35/blzga.ChatGPT.And.Prompt.Engineering.Mastery.part2.rar.html https://fikper.com/czdyenKKPX/blzga.ChatGPT.And.Prompt.Engineering.Mastery.part3.rar.html https://fikper.com/uPTi23ggnW/blzga.ChatGPT.And.Prompt.Engineering.Mastery.part4.rar.html No Password - 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Free Download Azure Data Engineering Real-Time Projects-DP 203 Exam Prep Published 10/2024 Created by Step2C Education MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 32 Lectures ( 3h 22m ) | Size: 3.47 GB Step-by-step guide to building and managing cloud data pipelines-Create, clean, and transform data pipelines using Azure What you'll learn Connecting and extracting data from APIs using ADF Cleaning and transforming data using PySpark in Databricks Automating data workflows with Azure Data Factory Loading data into Azure Synapse for analysis Power BI reporting and dashboard creation Requirements Internet connection PC/Laptop/Mobile Phone Azure account (if students want to practice the demo) A willingness to learn new tools and frameworks Basic understanding of cloud computing and data processing Some exposure to SQL and Python Familiarity with Azure (helpful, but not mandatory) Description Course Description:In today's data-driven world, businesses rely heavily on robust and scalable data pipelines to handle the growing volume and complexity of their data. The ability to design and implement these pipelines is an invaluable skill for data professionals. "Azure Data Engineering Projects-Real Time Azure Data Project" is designed to provide you with hands-on experience in building end-to-end data pipelines using the powerful Azure ecosystem. This course will take you through the process of extracting, cleaning, transforming, and visualizing data, using tools like Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure Databricks, and Azure Synapse Analytics, with the final output delivered through Power BI dashboards.This course is perfect for anyone looking to enhance their skills in cloud-based data engineering, whether you're new to the field or seeking to solidify your expertise in Azure technologies. By the end of this course, you will not only understand the theory behind data pipelines but will also have practical knowledge of designing, developing, and deploying a fully functional data pipeline for real-world data.We will start by understanding the architecture and components of an end-to-end data pipeline. You'll learn how to connect to APIs as data sources, load raw data into Azure Data Lake Storage (ADLS), and use Azure Data Factory to orchestrate data workflows. With hands-on exercises, you'll perform initial data cleaning in Azure Databricks using PySpark, and then proceed to apply more complex transformations that will convert raw data into valuable insights. From there, you'll store your processed data in Azure Synapse Analytics, ready for analysis and visualization in Power BI.We will guide you through every step, ensuring you understand the purpose of each tool, and how they work together in the Azure environment to manage the full lifecycle of data. Whether you're working with structured, semi-structured, or unstructured data, this course covers the tools and techniques necessary to manage any type of data efficiently.Course Structure Overview:The course is divided into six comprehensive sections, each focusing on a crucial stage of building data pipelines:Introduction to Data Pipelines and Azure ToolsWe'll start with an introduction to data pipelines, focusing on their importance and use in modern data architecture. You will learn about the tools we will use throughout the course: Azure Data Factory, Azure Data Lake Storage, Azure Databricks, Azure Synapse, and Power BI. We'll also cover how these tools work together to build an efficient, scalable, and reliable data pipeline in Azure. By the end of this section, you'll have a clear understanding of how Azure facilitates large-scale data processing.Data Ingestion using Azure Data Factory (ADF)In this section, we will focus on extracting data from external sources, particularly APIs. You'll learn how to create a pipeline in Azure Data Factory to automate the extraction and loading of data into Azure Data Lake Storage (ADLS). We will walk through the process of configuring datasets, linked services, and activities in ADF to pull in data in various formats (JSON, CSV, XML, etc.). This is the crucial first step of our pipeline and serves as the foundation for all subsequent steps.Data Storage and Management in Azure Data Lake Storage (ADLS)Once we have ingested the data, the next step is storing it efficiently in Azure Data Lake Storage (ADLS). This section will teach you how to structure and organize data in ADLS, enabling fast and easy access for further processing. We will explore best practices for partitioning data, handling different file formats, and managing access controls to ensure your data is stored securely and ready for processing.Data Cleaning and Processing with Azure Databricks (PySpark)Raw data often needs to be cleaned before it can be used for analysis. In this section, we'll take a deep dive into Azure Databricks, using PySpark for initial data cleaning and transformation. You will learn how to remove duplicates, handle missing values, standardize data, and perform data validation. By working with Databricks, you will gain valuable hands-on experience with distributed computing, enabling you to scale your data transformations for large datasets.This section also introduces you to PySpark's powerful capabilities for data processing, where you'll create transformations such as filtering, aggregating, and joining multiple datasets. We'll also cover the Bronze, Silver, and Gold layers of data transformation, where you'll take raw data (Bronze) through intermediate processing (Silver) and arrive at a clean, analytics-ready dataset (Gold).Data Transformation and Loading into Azure Synapse AnalyticsAfter the data has been cleaned and transformed in Databricks, the next step is to load it into Azure Synapse Analytics for further analysis and querying. You will learn how to connect Databricks with Azure Synapse and automate the process of moving data from ADLS into Synapse. This section will also cover optimization techniques for storing data in Synapse to ensure that your queries run efficiently. We will walk you through the process of partitioning, indexing, and tuning your Synapse tables to handle large-scale datasets effectively.Course Features:This course is designed to be hands-on, with practical exercises and real-world examples. You will:Work with a real dataset, extracted from an API, cleaned, transformed, and stored in the cloud.Perform data cleaning operations using PySpark and Azure Databricks.Learn how to use ADF for automated data pipeline creation.Practice transforming data into business-ready formats.Gain experience in optimizing data storage and querying in Azure Synapse.Develop interactive reports and dashboards in Power BI.Benefits of Taking this Course:By taking this course, you will gain practical, in-demand skills in cloud-based data engineering. You'll walk away with the knowledge and experience needed to design and implement scalable data pipelines in Azure. Whether you're a data engineer, data analyst, or a developer looking to build modern data workflows, this course provides you with the technical and strategic skills to succeed in this role.In addition to technical expertise, you will also gain insight into real-world use cases for these tools. Azure Data Factory, Databricks, and Synapse are widely used across industries to manage data workflows, from startups to enterprise-level organizations. After completing this course, you will be equipped to tackle data challenges using Azure's robust, cloud-native solutions.This course prepares you for a career in data engineering by giving you practical experience in designing and implementing data pipelines. You'll be able to use your new skills to build efficient, scalable systems that can handle large amounts of data, from ingestion to visualization.After completing this course, you will receive a course completion certificate, which you can download and showcase on your resume. If you encounter any technical issues throughout the course, Udemy's support team is available to assist you. If you have any suggestions, doubts, or new course requirements, feel free to message me directly or use the Q&A section.Let's get started on your journey to mastering data pipelines in the cloud! Who this course is for Data professionals working with cloud-based tools Students or professionals looking to showcase a real-time Azure Data Engineering project. Data analysts wanting to expand their knowledge of cloud data pipelines. Aspiring data engineers seeking hands-on experience with Azure tools and frameworks. Data scientists aiming to improve their understanding of data processing in the cloud. Database developers interested in learning how to integrate cloud technologies into their workflows. Azure developers eager to learn how to build scalable data pipelines using Azure services. IT professionals looking to switch or enhance their skills in data engineering. Cloud enthusiasts who want to explore Azure data services for handling large-scale data. Database administrators who want to manage and optimize cloud-based data storage. 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