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Local Tax Policy in Central and Eastern Europe: Property Taxation and Muni[beeep]l Finance - [AUDIOBOOK] m4b | 867.53 MB | Author: Pawel Felis, Leszek Patrzalek, Agnieszka Bem, Michal Bernardelli, Elzbieta Malinowska-Misiag | Year: 2025 Description: Download Link: https://fikper.com/byPP7Vk8XR/ https://rapidgator.net/file/af547ac0fca561a82ddb6763bc960bf5/ https://nitroflare.com/view/8851B75FCDCAD8A/

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Free Download Mastering Ollama Build Private Local LLM Apps with Python Published 10/2024 Created by Paulo Dichone | Software Engineer, AWS Cloud Practitioner & Instructor MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 43 Lectures ( 3h 13m ) | Size: 2.1 GB Run custom LLMs privately on your system-Use ChatGPT-like UI-Hands-on projects-No cloud or extra costs required What you'll learn Install and configure Ollama on your local system to run large language models privately. Customize LLM models to suit specific needs using Ollama's options and command-line tools. Execute all terminal commands necessary to control, monitor, and troubleshoot Ollama models. Set up and manage a ChatGPT-like interface, allowing you to interact with models locally. Utilize different model types-including text, vision, and code-generating models-for various applications. Create custom LLM models from a Modelfile file and integrate them into your applications. Build Python applications that interface with Ollama models using its native library and OpenAI API compatibility. Develop Retrieval-Augmented Generation (RAG) applications by integrating Ollama models with LangChain. Implement tools and function calling to enhance model interactions for advanced workflows. Set up a user-friendly UI frontend to allow users to interface and chat with different Ollama models. Requirements Basic Python Programming Knowledge Comfort with Command Line Interface (CLI) Description Are you concerned about data privacy and the high costs associated with using Large Language Models (LLMs)? If so, this course is the perfect fit for you. "Mastering Ollama: Build Private LLM Applications with Python" empowers you to run powerful AI models directly on your own system, ensuring complete data privacy and eliminating the need for expensive cloud services. By learning to deploy and customize local LLMs with Ollama, you'll maintain full control over your data and applications while avoiding the ongoing expenses and potential risks of cloud-based solutions.This hands-on course will take you from beginner to expert in using Ollama, a platform designed for running local LLM models. You'll learn how to set up and customize models, create a ChatGPT-like interface, and build private applications using Python-all from the comfort of your system.In this course, you will:Install and configure Ollama for local LLM model execution.Customize LLM models to suit your specific needs using Ollama's tools.Master command-line tools to control, monitor, and troubleshoot Ollama models.Integrate various models, including text, vision, and code-generating models, and even create your custom models.Build Python applications that interface with Ollama models using its native library and OpenAI API compatibility.Develop Retrieval-Augmented Generation (RAG) applications by integrating Ollama models with LangChain.Implement tools and function calling to enhance model interactions in terminal and LangChain environments.Set up a user-friendly UI frontend to allow users to chat with different Ollama models.Why is this course important?In a world where data privacy is growing, running LLMs locally ensures your data stays on your machine. This enhances data security and allows you to customize models for specialized tasks without external dependencies or additional costs.You'll engage in practical activities like building custom models, developing RAG applications that retrieve and respond to user queries based on your data, and creating interactive interfaces. Each section has real-world applications to give you the experience and confidence to build your local LLM solutions.Why choose this course?This course is uniquely crafted to make advanced AI concepts approachable and actionable. We focus on practical, hands-on learning, enabling you to build real-world solutions from day one. You'll dive deep into projects that bridge theory and practice, ensuring you gain tangible skills in developing local LLM applications. Whether you're new to large language models or seeking to enhance your existing abilities, this course provides all the guidance and tools you need to create private AI applications using Ollama and Python confidently.Ready to develop powerful AI applications while keeping your data completely private? Enroll today and seize full control of your AI journey with Ollama. Harness the capabilities of local LLMs on your own system and take your skills to the next level! Who this course is for Python Developers looking to expand their skill set by integrating Large Language Models (LLMs) into their applications. AI Enthusiasts and Practitioners interested in running and customizing local LLMs privately without relying on cloud services. Data Scientists and Machine Learning Engineers who want to understand and implement local AI models using Ollama and LangChain. Software Engineers aiming to develop secure AI applications on their own systems, maintaining full control over data and infrastructure. Students and Researchers exploring the capabilities of local LLMs and seeking hands-on experience with advanced AI technologies. Professionals Concerned with Data Privacy who need to process sensitive information without sending data to external servers or cloud platforms. Anyone Interested in Building ChatGPT-like Applications Locally, and wants to gain practical experience through real-world projects. Beginners to LLMs and Ollama who have basic Python knowledge and are eager to learn about AI application development. Beginners to LLMs and Ollama who have basic Python knowledge and are eager to learn about AI application development. Educators and Trainers seeking to incorporate AI and LLMs into their curriculum or training programs without relying on external services. 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Free Download Networking Foundations Local Area Networks (LANs) Released 10/2024 With Jarrel Rivera MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 15m 32s | Size: 142 MB Gain essential knowledge of local area networks (LANs) in this foundation course. Course details In this course, learn how to connect and secure a local area network (LAN) and a wireless area network. LANs are necessary to connect the devices in an organization: to each computer, to printers and servers, to the internet, and to the world. Whether you need to set up a simple LAN at your home or a cable system for an entire office, this course-designed for beginners and professionals alike-provides the training you need to set up a local area network. Homepage https://www.linkedin.com/learning/networking-foundations-local-area-networks-lans-24682603 Screenshot Rapidgator https://rg.to/file/66fb5ceac48ea90f8a9d2b8a51c9ece2/nongw.Networking.Foundations.Local.Area.Networks.LANs.rar.html Fikper Free Download https://fikper.com/AtBM1QrRBF/nongw.Networking.Foundations.Local.Area.Networks.LANs.rar.html No Password - Links are Interchangeable

Free Download Mastering Local LLMs with Ollama and Python + Doing Projects Last updated 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 5h 40m | Size: 5.15 GB Hands-On Projects with Ollama, Langchain, CrewAI, and HuggingFace to Enhance Your AI Skills and Transform Everyday Tasks What you'll learn Understanding LLMs: Gain a solid foundation in Large Language Models (LLMs) and their applications. Using Ollama: Learn how to utilize the Ollama library for various NLP tasks. LangChain Integration: Master the integration of LangChain for building complex applications with LLMs. Project Development: Develop practical projects that reinforce learning. Creating a Learning Python Tool with Ollama. Building a Video Describer that summarizes video content. Implementing a Chat with PDF feature using Ollama LLM. Developing a Chat with VIDEO application using Ollama LLM and Whisper for audio transcription. Designing a system to Get Model Answers based on long stories or texts. Creating a Chat with Your Note application to interact with personal notes. Building a Chat with Your Diary project to reflect on personal experiences and insights. Whisper Integration: Understand how to integrate Whisper for audio processing and transcription tasks. Hugging Face Models: Learn how to leverage Hugging Face models for text generation and other NLP tasks. Practical Skills: Acquire hands-on experience through coding exercises and project implementations. Problem-Solving Techniques: Develop skills to tackle real-world problems using LLMs and related technologies. Additional Benefits: Continuous updates with new projects to enhance learning and keep up with advancements in AI and NLP technologies. Requirements Basic Knowledge of Python Description Welcome! This comprehensive course is designed for individuals eager to dive into the world of Large Language Models (LLMs) and harness their power to create innovative applications that can simplify tasks in everyday life.Course OverviewIn this course, you will learn how to effectively utilize various libraries and frameworks, including Ollama, LangChain, CrewAI, and Hugging Face, to build practical projects that demonstrate the capabilities of LLMs. Through hands-on projects, you will gain a deep understanding of how these technologies work together to enhance productivity and creativity.What You Will LearnUnderstanding LLMs: Gain insights into the architecture and functioning of Large Language Models, including their applications in natural language processing (NLP).Ollama and LangChain: Learn how to leverage Ollama for efficient model deployment and LangChain for building complex applications that integrate multiple components seamlessly.Hugging Face Transformers: Explore the Hugging Face library to access a wide range of pre-trained models for various NLP tasks.Practical Applications: Implement real-world projects that showcase the power of LLMs in different contexts.Project HighlightsLearning Python Tool with Ollama: Create an interactive tool that helps users learn Python programming through guided exercises and instant feedback using an LLM.Make a Video Describer: Develop an application that generates descriptive text for video content, enhancing accessibility and understanding for users.Chat with PDF using Ollama LLM: Build a chat interface that allows users to ask questions about the content of PDF documents, providing instant answers powered by an LLM.Chat with VIDEO using Ollama LLM and Whisper: Combine video processing with speech recognition to create an application where users can interact with video content through natural language queries.Get Model Answers Based on Long Stories: Design a system that allows users to input long narratives or stories and receive concise answers or summaries from the model.Chat with Your Note: Create a personal note-taking application where users can interact with their notes using natural language queries, making information retrieval seamless.Chat with Your Diary: Develop a diary application that allows users to reflect on their entries and ask questions about their past experiences, promoting self-reflection and personal growth.Continuous LearningThis course is designed to be dynamic, with new projects added regularly to keep pace with advancements in technology and user needs. You will have the opportunity to explore new ideas and implement them in your projects, ensuring you stay ahead in the rapidly evolving field of AI and NLP.Who Should EnrollThis course is ideal for:Developers looking to expand their skill set in AI and machine learning.Data scientists interested in applying NLP techniques using state-of-the-art models.Anyone passionate about leveraging LLMs to create innovative applications that enhance productivity.Join us on this exciting journey as we explore the potential of Large Language Models through practical projects. By the end of this course, you will have the skills and knowledge needed to build your own applications using Ollama, LangChain, CrewAI, and Hugging Face, empowering you to make your life easier through technology. Enroll today and start mastering LLMs! Who this course is for Aspiring AI Developers: Individuals looking to build applications using LLMs. Data Scientists: Professionals wanting to enhance their data analysis skills with AI tools. Python Programmers: Developers interested in integrating LLMs into their Python projects. Students: Learners seeking practical experience with modern AI libraries and frameworks. AI Enthusiasts: Anyone passionate about exploring the capabilities of LLMs and their applications. Content Creators: Writers and creators wanting to leverage AI for content generation and enhancement. Educators: Teachers aiming to incorporate AI tools into their curriculum or projects. 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Free Download Build local LLM applications using Python and Ollama Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 51m | Size: 728 MB Learn to create LLM applications in your system using Ollama and LangChain in Python | Completely private and secure What you'll learn Download and install Ollama for running LLM models on your local machine Set up and configure the Llama LLM model for local use Customize LLM models using command-line options to meet specific application needs Save and deploy modified versions of LLM models in your local environment Develop Python-based applications that interact with Ollama models securely Call and integrate models via Ollama's REST API for seamless interaction with external systems Explore OpenAI compatibility within Ollama to extend the functionality of your models Build a Retrieval-Augmented Generation (RAG) system to process and query large documents efficiently Create fully functional LLM applications using LangChain, Ollama, and tools like agents and retrieval systems to answer user queries Requirements Basic Python knowledge is recommended, but no prior AI experience is required. Description If you are a developer, data scientist, or AI enthusiast who wants to build and run large language models (LLMs) locally on your system, this course is for you. Do you want to harness the power of LLMs without sending your data to the cloud? Are you looking for secure, private solutions that leverage powerful tools like Python, Ollama, and LangChain? This course will show you how to build secure and fully functional LLM applications right on your own machine.In this course, you will:Set up Ollama and download the Llama LLM model for local use.Customize models and save modified versions using command-line tools.Develop Python-based LLM applications with Ollama for total control over your models.Use Ollama's Rest API to integrate models into your applications.Leverage LangChain to build Retrieval-Augmented Generation (RAG) systems for efficient document processing.Create end-to-end LLM applications that answer user questions with precision using the power of LangChain and Ollama.Why build local LLM applications? For one, local applications ensure complete data privacy-your data never leaves your system. Additionally, the flexibility and customization of running models locally means you are in total control, without the need for cloud dependencies.Throughout the course, you'll build, customize, and deploy models using Python, and implement key features like prompt engineering, retrieval techniques, and model integration-all within the comfort of your local setup.What sets this course apart is its focus on privacy, control, and hands-on experience using cutting-edge tools like Ollama and LangChain. By the end, you'll have a fully functioning LLM application and the skills to build secure AI systems on your own.Ready to build your own private LLM applications? Enroll now and get started! Who this course is for Software developers who want to build and run private LLM applications on their local machines. Data scientists looking to integrate advanced LLM models into their workflow without relying on cloud solutions. Privacy-focused professionals who need to maintain complete control over their data while leveraging powerful AI models. Tech enthusiasts interested in exploring local LLM setups using cutting-edge tools like Ollama and LangChain. Homepage https://www.udemy.com/course/build-local-llm-applications-using-python-and-ollama/ Rapidgator https://rg.to/file/3ee1f5ccc3bffa5be851bfae3824fa1b/pjgxc.Build.local.LLM.applications.using.Python.and.Ollama.rar.html Fikper Free Download https://fikper.com/DfMp8VCwiy/pjgxc.Build.local.LLM.applications.using.Python.and.Ollama.rar.html No Password - Links are Interchangeable

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Free Download Zero to Hero in Ollama - Create Local LLM Applications Published 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 3h 4m | Size: 1.13 GB Run customized LLM models on your system privately | Use ChatGPT like interface | Build local applications using Python What you'll learn Install and configure Ollama on your local system to run large language models privately. Customize LLM models to suit specific needs using Ollama's options and command-line tools. Execute all terminal commands necessary to control, monitor, and troubleshoot Ollama models Set up and manage a ChatGPT-like interface using Open WebUI, allowing you to interact with models locally Deploy Docker and Open WebUI for running, customizing, and sharing LLM models in a private environment. Utilize different model types, including text, vision, and code-generating models, for various applications. Create custom LLM models from a gguf file and integrate them into your applications. Build Python applications that interface with Ollama models using its native library and OpenAI API compatibility. Develop a RAG (Retrieval-Augmented Generation) application by integrating Ollama models with LangChain. Implement tools and agents to enhance model interactions in both Open WebUI and LangChain environments for advanced workflows. Requirements Basic Python knowledge and a computer capable of running Docker and Ollama are recommended, but no prior AI experience is required. Description Are you looking to build and run customized large language models (LLMs) right on your own system, without depending on cloud solutions? Do you want to maintain privacy while leveraging powerful models similar to ChatGPT? If you're a developer, data scientist, or an AI enthusiast wanting to create local LLM applications, this course is for you!This hands-on course will take you from beginner to expert in using Ollama, a platform designed for running local LLM models. You'll learn how to set up and customize models, create a ChatGPT-like interface, and build private applications using Python-all from the comfort of your own system.In this course, you will:Install and customize Ollama for local LLM model executionMaster all command-line tools to effectively control OllamaRun a ChatGPT-like interface on your system using Open WebUIIntegrate various models (text, vision, code generation) and even create your own custom modelsBuild Python applications using Ollama and its library, with OpenAI API compatibilityLeverage LangChain to enhance your LLM capabilities, including Retrieval-Augmented Generation (RAG)Deploy tools and agents to interact with Ollama models in both terminal and LangChain environmentsWhy is this course important? In a world where privacy is becoming a greater concern, running LLMs locally ensures your data stays on your machine. This not only improves data security but also allows you to customize models for specialized tasks without external dependencies.You'll complete activities like building custom models, setting up Docker for web interfaces, and developing RAG applications that retrieve and respond to user queries based on your data. Each section is packed with real-world applications to give you the experience and confidence to build your own local LLM solutions.Why this course? I specialize in making advanced AI topics practical and accessible, with hands-on projects that ensure you're not just learning but actually building real solutions. Whether you're new to LLMs or looking to deepen your skills, this course will equip you with everything you need.Ready to build your own LLM-powered applications privately? Enroll now and take full control of your AI journey with Ollama! Who this course is for AI enthusiasts who want to build and run customized LLM models privately on their local systems. Python developers seeking to integrate large language models into local applications for enhanced functionality. Data scientists who aim to create secure, private LLM-powered tools without relying on cloud-based solutions. Machine learning engineers looking to explore and customize open-source models using Ollama and LangChain. Tech professionals who want to develop RAG (Retrieval-Augmented Generation) applications using local data. Privacy-conscious developers interested in running AI models with full control over data and environment. Homepage https://www.udemy.com/course/ollama-starttech/ Rapidgator https://rg.to/file/2d7dd5c444abfa4daf3e8a639a481724/vxstd.Zero.to.Hero.in.Ollama.Create.Local.LLM.Applications.part2.rar.html https://rg.to/file/9d232f3c514a990af5c0903e62943dc5/vxstd.Zero.to.Hero.in.Ollama.Create.Local.LLM.Applications.part1.rar.html Fikper Free Download https://fikper.com/A3JSusQ6Hi/vxstd.Zero.to.Hero.in.Ollama.Create.Local.LLM.Applications.part1.rar.html https://fikper.com/W5rpLWDJZK/vxstd.Zero.to.Hero.in.Ollama.Create.Local.LLM.Applications.part2.rar.html No Password - Links are Interchangeable

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The Local Palate - Insider's Guide to South Carolina 2024 English | 150 pages | PDF | 119.4 MB Published six times a year, the Local Palate celebrates the rich and diverse food culture of the South, highlighting the people and places that make it the most dynamic culinary region in the country. Here, food and drink are more than sustenance-they're a way of life. Covering everything from the time-honored recipes and traditions that reveal regional nuance to emerging destinations to inspire the modern traveler to the people shaping today's culinary landscape, we connect readers to what makes food in the South distinct. https://rapidgator.net/file/7431901bbcd826b5cd51abfa0e4cb32c/ https://nitroflare.com/view/568D762AFE50FF3/

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How To Increase Sales With Local SEO MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hours | Lec: 42 | 120 MB Genre: eLearning | Language: English Use Our Local SEO Course To Learn How To Dominate Your Local Market and Explode Your Local Business with Local SEO Local SEO Course In this Local SEO course you will learn the correct process to improve the rank of your local business listing. Get the training needed to increase sales and grow your local business. Who Should Take This Course: Local business owners Small business owners Anyone in charge of increasing sales for a local business. Course Goals: Learn the correct and proven process to rank a Local business in the Local SERPs (Search engine results page). Understand the Local SEO process and how it can help you to reach new customers, increase your visibility, and boost sales. Get an introductory primer on Search Engine Optimization prin[beeep]les and fundamentals. Course Content: This course will show you the exact steps required to get your local business to rank higher in your city or town while enjoying improved visibility and increased sales. The course blueprint includes: Section 1 Introduction to Local SEO Section 2 Getting Started - Claiming your business listing with Google My Business Section 3 Creating local citations - understanding NAP (Name Address Phone#) Section 4 The importance of customer reviews Section 5 Introduction to Keyword Research Section 6 Website Optimization Section 7 Link Building Primer Section 8 Email Marketing - Keeping in touch with your customers Section 9 Conclusion Why Local SEO? When comparing Local SEO with Traditional SEO, the overall process is similar, the major difference is that Local is based on location or a specific area, while traditional is not. For example, if you have a tennis racket shop in Tampa, FL, you are most likely trying to reach a customer base that is in and around the Tampa (and possibly St. Petersburg) area, but that is it. This reduces your marketing area and allows you to concentrate on the local Tampa area allowing you to be more focused and targeted. DOWNLOAD http://rapidgator.net/file/db8a9b3f250001ed3449696696202ea3/gc7wr.How.To.Increase.Sales.With.Local.SEO.2016.rar.html https://bytewhale.com/hx2h7ndgf6x4/gc7wr.How.To.Increase.Sales.With.Local.SEO.2016.rar http://uploaded.net/file/auo2g160/gc7wr.How.To.Increase.Sales.With.Local.SEO.2016.rar https://www.bigfile.to/file/FBpvy6PpFPmU/gc7wr.How.To.Increase.Sales.With.Local.SEO.2016.rar http://nitroflare.com/view/4DF04CB701AD39C/gc7wr.How.To.Increase.Sales.With.Local.SEO.2016.rar http://uploadgig.com/file/download/005f5d418b17e0Ab/gc7wr.How.To.Increase.Sales.With.Local.SEO.2016.rar

Lynda - Local SEO Size: 577 MB | Duration: 2h 31m | Video: AVC (.mp4) 1280x720 15&30fps | Audio: AAC 48KHz 2ch Genre: eLearning | Level: Intermediate | Language: English Search engine optimization (SEO) is crucial to the success of every business. Search engine optimization (SEO) is crucial to the success of every business. But local SEO is particularly important to "brick and mortar" stores and services. Customers don't rely on the yellow pages anymore. They turn to Google instead. This course will help businesses of all sizes achieve maximum visibility on search engines, and drive more traffic (web traffic and foot traffic!) to their sites and stores. First, get an overview of the local SEO landscape, tips for evaluating and optimizing your site, and advice on conducting keyword research. Author Brad Batesole also shows how to optimize your site structure and on-page content, acquire local citations, and make sure your name, address, and phone (NAP) information is consistent across the web. Want to appear in Google Maps and local search results? Find out how to make sure your listing shows up by setting up your Google My Business page, and learn how to incorporate links and reviews. Finally, discover how to secure backlinks from reputable sources and handle SEO for a business that has multiple locations. If you want to boost your ranking, understand the competition, or just understand how search engines like Google operate at a local level, this is the course for you. * What is local SEO? * Understanding local ranking factors * Identifying your top keywords * Researching the competition * Optimizing your site structure * Using and testing structured data * Creating localized content * Optimizing on-page elements * Tracking results * Acquiring local citations * Creating a Google My Business page * Securing backlinks * Collecting reviews * Handling multiple locations DOWNLOAD http://rapidgator.net/file/a201d44184f0a88f3a41ce2e84d67568/75wvp.Lynda..Local.SEO.rar.html http://uploaded.net/file/zg5k9gzc/75wvp.Lynda..Local.SEO.rar https://www.bigfile.to/file/DptfCN5grw8S/75wvp.Lynda..Local.SEO.rar http://nitroflare.com/view/8AFA05BA6B3320E/75wvp.Lynda..Local.SEO.rar http://uploadgig.com/file/download/F8fde64d02d93105/75wvp.Lynda..Local.SEO.rar

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MozCon - Local SEO (2016) [13 AVI, 1 FLV, 12 PDF] English | Size: 5.27 GB (5,657,007,225 bytes ) Category: Tutorial Join us to deep dive into local marketing and SEO with industry experts and colleagues at MozCon Local. Informative for all levels, you'll learn next-level tips and tricks for building content, getting citations, and optimizing SEO and local ranking factors as you attend talks, parti[beeep]te in live Q&A, and mix with fellow in-house and agency marketers, Yellow Pages publishers, and consultants. See you in Seattle! Seattle WA * February 18-19, 2016 Speakers: David Mihm Welcome to MozCon Local 2016! with David Mihm David Mihm is one of the world's leading practitioners of Local search engine marketing. He has created and promoted search-friendly websites for clients of all sizes since the early 2000s. David co-founded GetListed.org, which he sold to Moz in November 2012. Mary Bowling Feeding the Beast: Local Content for RankBrain with Mary Bowling We now know searcher behavior and continual testing via machine learning indeed affects Google rankings and algorithm refinements. Learn how to create local content to satisfy both Google and our human visitors. Mary Bowling's been in SEO since 2003 and has specialized in local SEO since 2006. When she's not writing about, teaching, consulting, and doing internet marketing, you'll find her rafting, biking, and skiing/snowboarding in the mountains and deserts of Colorado and Utah. Mike Ramsey Local Links: Tests, Tools, and Tactics with Mike Ramsey Going beyond the map pack, links can bring you qualified traffic, organic rankings, penalties, or filters. Mike will walk through lessons, examples, and ideas for you to utilize to your heart's content. Mike Ramsey is the president of Nifty Marketing and a founding faculty member of Local University. 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Lindsay Wassell Technical Site Audits for Local SEO with Lindsay Wassell Onsite SEO success lies in the technical details, but extensive SEO audits can be too expensive and impractical. Lindsay shows you the most important onsite elements for local search optimization and outlines an efficient path for improved performance. Lindsay Wassell's been herding bots and wrangling SERPs since 2001. She has a zeal for helping small businesses grow with improved digital presence. Lindsay is the CEO and founder of Keyphraseology. Justine Jordan Optimizing and Hacking Email for Mobile with Justine Jordan Email may be an old dog, but it has learned some new mobile tricks. From device-a-palooza and preview text to tables and triggers, Justine will break down the subscriber experience so you (and your audience) get the most from your next campaign. 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Matthew Moore The Enterprise Perspective on Local Search with Matthew Moore Learn how the person responsible for local visibility across a portfolio of nearly 1,000 locations tackles this space on a daily basis. Matthew from Sears Home Services shares his experiences and advice in this Q&A moderated by David Mihm. Matthew Moore is Senior Director, Marketing Analytics at Sears Holdings Corporation. Adria Saracino How to Approach Social Media Like Big Brands with Adria Saracino Facebook, Twitter, LinkedIn, Instagram, Pinterest, YouTube, Snapchat, Periscope...the seemingly never-ending world of social media can leave even the most seasoned marketer flailing among too many tasks and not enough results. Adria will help you cut through the noise and share actionable secrets that big brands use to succeed with social media. Adria Saracino is a digital strategist whose marketing experience spans mid-stage startups, agency life, and speaking engagements at conferences like SearchLove and Lavacon. When not marketing things, you can see her cooking elaborate meals and posting them on her Instagram, @emeraldpalate. Rand Fishkin Analytics for Local Marketers: The Big Picture and the Right Details with Rand Fishkin Are your marketing efforts taking your organization where it needs to go, or are they just boosting your vanity metrics? Rand explains how to avoid being misled by the wrong metrics and how to focus on the ones that will keep you moving forward. Learn how to determine what to measure, as well as how to tie it to objectives with clear, concise, and useful data points. Rand Fishkin uses the ludicrous title "Wizard of Moz." 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Lynda - Photos for OS X: Extensions for Local Adjustments ! Size: 1.44 GB | Duration: 1h 52m | Video: AVC (.mp4) 1280x800 15&30fps | Audio: AAC 48KHz 2ch Genre: eLearning | Level: Intermediate | Language: English Included with Mac OS X, Photos is a well-rounded application for managing, enhancing, and sharing photos. But there's room to grow, and that's where editing extensions come in. These software add-ons plug right in to Photos for Mac OS X and add new capabilities, from special color effects to sophisticated retouching. In this course, photographer, author, and educator Derrick Story demonstrates his favorite editing extensions for performing local adjustments. These tools round out what already exists in Photos, providing the photographer with a complete image editing toolbox. Step-by-step, he selects an image from the library, explains how he wants to change it, and then chooses the appropriate editing extension to complete the job. 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Create Local Server and Install Wordpress English | 2 hours | MP4 | 1360x720 | 30 kbps | 44 KHz | aac, 48000 Hz, 2 Ch | 370 Mb Genre: eLearning Update Feb/2015: WordPress Essentials for Business is now the highest-rated and one of the most popular WordPress beginner courses on Udemy. When you take the course you will see why: we teach you in a progressive way that allows you to quickly pick-up the basics in order to create your first professional-looking website in as little as 90 minutes -- while at the same time covering 95% of the WordPress user-interface. The course will save you many hours of trial-and-error in setting up your first website -- while leading to a far more satisfying result. And, unlike other beginner WordPress courses, we cover topics that are key to creating a professional-looking website, such as theme selection, graphics sources, and more. The WordPress software has revolutionized the web design business; and yet, finding a course that covers all the basics, is oriented to a non-technical audience, and gives practical advice on the commercial services that are imperative to making an attractive website, has proven to be difficult. WordPress Essentials for Business is designed to fill that training gap. As an added bonus, the "Hosting WordPress" video (video #6 below in free preview) will show you where to find high-performance managed WordPress hosting at about 1/3 of the going rate. Get your site under managed hosting for the same price as conventional hosting! Note: we will be updating and adding content over the next few months covering SEO, eCommerce, Google Analytics, and more. WordPress Essentials for Business is a quick (90 min) but thorough overview of using WordPress to create a business website. It is designed for busy small-business owners and self-employed professionals who want to quickly master the WordPress software for the purpose of creating an attractive website that generates leads and sales. The course covers almost all of the WordPress user interface. We learn by doing as we build out an actual website for a client of ours, explaining and demonstrating key concepts along the way, such as themes, plugins, widgets, images, etc. Students should download the project files from http://bookshare.biz and then follow the tutorial on their own website, repeating the keystrokes and mouse sequences as they build out their own site. You can expect to walk away from this training with an attractive website and a solid understanding of WordPress fundamentals. To take this course you will need a self-hosted WordPress website under your own domain and hosting account, and we will show you how to set that up. Domains cost about $10/yr and a hosting account will cost you an additional $7-12/mth, and will host all of your business and personal websites. DOWNLOAD http://rapidgator.net/file/8ac0a0439003ea419898208942c4c1e6/3Local.part1.rar.html http://rapidgator.net/file/cc73c7e8a18a38509faee7faf8d46316/3Local.part2.rar.html http://rapidgator.net/file/fa74e97a371420870eb90d11c2180674/3Local.part3.rar.html http://rapidgator.net/file/765a7b311bb5a334688c59cd16d284a4/3Local.part4.rar.html http://uploaded.net/file/ielv5k8k/3Local.part1.rar http://uploaded.net/file/vhiqu2iq/3Local.part2.rar http://uploaded.net/file/7775z9ff/3Local.part3.rar http://uploaded.net/file/fxwkygyu/3Local.part4.rar http://www.hitfile.net/7Dcr/3Local.part1.rar.html http://www.hitfile.net/7Ddk/3Local.part2.rar.html http://www.hitfile.net/7Dfj/3Local.part3.rar.html http://www.hitfile.net/7Dfz/3Local.part4.rar.html http://www.uploadable.ch/file/JZ4XguJDbP3J/3Local.part1.rar http://www.uploadable.ch/file/kuVFRhSv7JRc/3Local.part2.rar http://www.uploadable.ch/file/RMfyJs8EwBjh/3Local.part3.rar http://www.uploadable.ch/file/GssWbJRFBzXh/3Local.part4.rar

Successfully Marketing a Local Business in 15 Easy Steps English | 2h | AVC (.MP4) 1280x720 30fps | AAC 44.1KHz 2ch | 652 Mb Genre: eLearning Discover how to drive new customers to your local business with little cost and make high profits What are the requirements? This course is suitable for students who must have common sense and will apply positive enthusiastic action. No experience is necessary and a pen and paper will be useful for note taking What am I going to get from this course? Over 15 lectures and 2 hours of content! Successfully Market a Local Business in 15 Easy Steps Discover how to drive new customers to your local business with little cost and make high profits What is the target audience? An ideal student for this course has their own business or are thinking of starting a business shortly and who wants to expand their business but is concerned that the budget is too small. I designed this course in particular for the small business owner who wants to grow their business but struggles with practical ideas that work within a tight budget. This course is not suitable for anyone with a strong marketing background DOWNLOAD http://rapidgator.net/file/deeb900c9f61c4f05f5c850456f1ccdd/fSuccessfully.part1.rar.html http://rapidgator.net/file/ec893d36466edb503629076ef9cb71fc/fSuccessfully.part2.rar.html http://rapidgator.net/file/bc9e06b27ec647dd7abd1922bf91c805/fSuccessfully.part3.rar.html http://rapidgator.net/file/71245c41ee85084332c3779f9f86965f/fSuccessfully.part4.rar.html http://rapidgator.net/file/49f625b880c9161a1c1f41bddb7e6ca8/fSuccessfully.part5.rar.html http://rapidgator.net/file/82515004d3549c901f07fb6755ebd0c7/fSuccessfully.part6.rar.html http://rapidgator.net/file/bbb90b790097e731413d3828e1411dad/fSuccessfully.part7.rar.html http://rapidgator.net/file/501fa75e7c06930a010dd53833bdf498/fSuccessfully.part8.rar.html http://uploaded.net/file/yxyrnfmc/fSuccessfully.part1.rar http://uploaded.net/file/34e3rv45/fSuccessfully.part2.rar http://uploaded.net/file/54z4i2bu/fSuccessfully.part3.rar http://uploaded.net/file/nhq8zknm/fSuccessfully.part4.rar http://uploaded.net/file/7p8m5e7d/fSuccessfully.part5.rar http://uploaded.net/file/ncom3hy3/fSuccessfully.part6.rar http://uploaded.net/file/zthp3cre/fSuccessfully.part7.rar http://uploaded.net/file/dph94ziu/fSuccessfully.part8.rar http://www.hitfile.net/7Dd4/fSuccessfully.part1.rar.html http://www.hitfile.net/7DdV/fSuccessfully.part2.rar.html http://www.hitfile.net/7Dfl/fSuccessfully.part3.rar.html http://www.hitfile.net/7DfK/fSuccessfully.part4.rar.html http://www.hitfile.net/7DgX/fSuccessfully.part5.rar.html http://www.hitfile.net/7Df/fSuccessfully.part6.rar.html http://www.hitfile.net/7Drc/fSuccessfully.part7.rar.html http://www.hitfile.net/7Dl7/fSuccessfully.part8.rar.html http://www.uploadable.ch/file/attmJEr228aG/fSuccessfully.part1.rar http://www.uploadable.ch/file/a8bTWT8PwnGc/fSuccessfully.part2.rar http://www.uploadable.ch/file/NAKJxVBvyqyS/fSuccessfully.part3.rar http://www.uploadable.ch/file/Sz4UPE7GtQhZ/fSuccessfully.part4.rar http://www.uploadable.ch/file/Vz4dmBDWJf4a/fSuccessfully.part5.rar http://www.uploadable.ch/file/PPFYhMnT4dVP/fSuccessfully.part6.rar http://www.uploadable.ch/file/EWAR9Vj7tM2g/fSuccessfully.part7.rar http://www.uploadable.ch/file/j5r5aFPMZmGb/fSuccessfully.part8.rar