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Free Download Udemy - Local SEO For Beginners - A Non-Tech Guide To More Traffic Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 147.45 MB | Duration: 0h 44m Boost Your Local Business's Online Presence with Simple SEO Techniques What you'll learn Understand the basics of Local SEO and its importance. Learn how to optimize your website for local search rankings. Master the setup and management of a Google My Business listing. Discover strategies for building strong local citations. Encourage positive reviews and manage online reputation effectively. Utilize Google Maps features to increase visibility and reach. Create high-quality, location-focused content that drives traffic. Requirements Basic understanding of website structure Access to Google My Business account for your business Description Welcome to *Local SEO for Beginners: A Non-Tech Guide to More Traffic*, a comprehensive course designed to help you elevate your business's local search rankings without diving deep into technical complexities. Whether you own a small run a boutique store, or manage a professional service firm, understanding and implementing Local SEO strategies can significantly boost your visibility in the eyes of potential customers.In this course, we explore simple yet powerful techniques that will enhance your online presence and attract more local traffic to your business. From optimizing your website for local search terms to building strong Google My Business listings, you'll gain a solid foundation in all aspects of Local SEO. 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Because it's tailored specifically for non-tech beginners, making it accessible and easy to follow. The content is structured in a way that breaks down complex concepts into simple, actionable steps. 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Lecture 2 1.2: Why Local SEO Matters for Your Business Section 2: Section 2: Optimizing Your Website for Local Search Lecture 3 2.1: Choosing the Right Keywords Lecture 4 2.2: Adding Location Information to Your Site Section 3: Section 3: Google My Business Listing Essentials Lecture 5 3.1: Setting Up and Completing Your GMB Profile Lecture 6 3.2: Updating Your GMB Listing Regularly Section 4: Section 4: Creating Local Citations Lecture 7 4.1: Understanding the Importance of Local Citations Lecture 8 4.2: Building a Comprehensive List of Local Citations Section 5: Section 5: Leveraging Online Reviews Lecture 9 5.1: Encouraging Customers to Leave Reviews Lecture 10 5.2: Responding to Reviews and Managing Reputation Section 6: Section 6: Utilizing Google Maps for Local SEO Lecture 11 6.1: Optimizing Your Business on Google Maps Lecture 12 6.2: Using Google Maps Features for Better Visibility Section 7: Section 7: Creating High-Quality Content Lecture 13 7.1: Writing Local-Focused Blog Posts Lecture 14 7.2: Incorporating Location-Based Keywords in Content Section 8: Section 8: Building a Strong Online Presence Locally Lecture 15 8.1: Engaging with Local Communities and Forums Lecture 16 8.2: Partnering with Other Local Businesses for Mutual Benefits Section 9: Section 9: Measuring Your Local SEO Success Lecture 17 9.1: Tracking Google My Business Performance Metrics Lecture 18 9.2: Analysing Website Traffic from Local Sources Local business owners looking to improve online visibility,Marketing professionals responsible for local SEO efforts,Small business entrepreneurs aiming to grow their customer base locally,Freelancers who want to offer Local SEO services to clients Homepage: https://www.udemy.com/course/local-seo-for-beginners-a-non-tech-guide-to-more-traffic/ [b]AusFile[/b] https://ausfile.com/ja19hgwyfbrw/clcij.Local.Seo.For.Beginners.A.NonTech.Guide.To.More.Traffic.rar.html Rapidgator https://rg.to/file/a186b91335666730319657c736f4c843/clcij.Local.Seo.For.Beginners.A.NonTech.Guide.To.More.Traffic.rar.html Fikper Free Download https://fikper.com/APur9KGGRt/clcij.Local.Seo.For.Beginners.A.NonTech.Guide.To.More.Traffic.rar.html No Password - Links are Interchangeable

Free Download Local Seo For Beginners - Boost Your Business On Google Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 160.22 MB | Duration: 0h 39m Learn How To Optimize Your Business For Google Search, Maps, And Directories. What you'll learn Understand the basics of Local SEO and its importance Claim and complete a Google My Business listing effectively Utilize Google Maps features to enhance visibility Create location-specific web content optimized with keywords Build local backlinks through directory listings and partnerships Monitor customer reviews and respond promptly to improve reputation Set up Google Analytics to track local SEO performance Requirements Basic understanding of website management Access to a business's Google My Business account Description Boost your business's visibility on Google and attract more customers with Local SEO! Discover how to optimize your small business for local searches, maps, and directories without any prior experience. Our comprehensive Local SEO for Beginners course is designed specifically for entrepreneurs looking to enhance their online presence.In this beginner-friendly course, we'll walk you through every aspect of Local SEO, from setting up your Google My Business listing to optimizing website content and building valuable local links. By the end of the course, you'll have a solid understanding of how to improve your business's visibility on Google Maps and search results, ultimately driving more traffic to your doorstep.Our expert instructors will guide you through each step, ensuring you learn the fundamentals of Local SEO in an engaging and easy-to-understand manner. With AI-generated voiceovers and visually appealing slides, our course is not only informative but also enjoyable. 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Free Download Local SEO Basics - How To Get More Customers Near You Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 181.26 MB | Duration: 0h 46m Learn how to rank your business higher in local search results! What you'll learn Understand the basics of Local SEO and its importance Set up and optimize a Google My Business listing effectively Conduct keyword research specific to your local area Create consistent, high-quality business listings across platforms Build citations and backlinks from reputable sources Optimize website content for better local search visibility Encourage positive reviews and manage online reputation Requirements Basic understanding of internet usage Access to Google My Business account Description Are you looking to boost your local business visibility and attract more customers near you? Local SEO Basics: How to Get More Customers Near You is designed for beginners who want to understand and implement effective Local Search Engine Optimization strategies without needing any tech skills.This course guides you through every step of enhancing your online presence to drive more foot traffic to your store. From setting up and optimizing your Google My Business listing to encouraging positive reviews and managing your online reputation, we cover everything you need to know about local SEO.You'll learn how to identify the right keywords for your business, ensure consistency across all platforms, build strong citations and backlinks, and create compelling website content that attracts potential customers. Each section includes practical tips and actionable strategies that you can start implementing immediately.No tech skills are required; just a willingness to improve your local SEO strategy and see tangible results in the form of increased customer visits. By the end of this course, you'll have mastered Local SEO Basics and be well-equipped to compete effectively in your local market.This beginner-friendly course is perfect for small business owners, marketers, or anyone looking to enhance their local online presence. With engaging voiceovers and professionally designed slides, you'll learn at your own pace and apply the lessons directly to your business needs.Key skills gained from this course include:- Setting up and optimizing a Google My Business listing- Conducting keyword research for local businesses- Ensuring consistency in NAP (Name, Address, Phone Number)- Building citations and backlinks to enhance SEO visibility- Creating location-specific content for your website- Managing customer reviews and online reputationPrerequisites: No prior technical knowledge is needed. 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Each lesson is designed to build upon the previous one, allowing you to gradually master Local SEO principles and see measurable improvements in your business's online presence and customer traffic.Don't miss out on this opportunity to learn from experts in the field and enhance your local marketing efforts. Enroll now and start attracting more customers near you with Local SEO Basics!Why Choose This Course?:Learn from a beginner-friendly perspective with no tech skills requiredReceive step-by-step guidance on implementing Local SEO tacticsGain insights into keyword research and citation building for local businessesDiscover how to optimize Google My Business listings for better visibility Overview Section 1: Section 1: Introduction to Local SEO Lecture 1 1.1: What is Local SEO? Lecture 2 1.2: Why Does Local SEO Matter for Your Business? Section 2: Section 2: Understanding Google My Business (GMB) Lecture 3 2.1: How GMB Affects Your Local SEO Strategy Lecture 4 2.2: Setting Up and Optimizing Your GMB Listing Section 3: Section 3: Keyword Research for Local Businesses Lecture 5 3.1: Identifying Relevant Keywords for Local Search Lecture 6 3.2: Using Google's Autocomplete to Discover More Keywords Section 4: Section 4: Creating High-Quality Business Listings Lecture 7 4.1: Completing and Verifying Your Business Information Across Platforms Lecture 8 4.2: Ensuring Consistency in Business Name, Address, Phone Number (NAP) Section 5: Section 5: Building Local Citations and Backlinks Lecture 9 5.1: Discovering Citation Sources for Your Business Lecture 10 5.2: Leveraging Local Directories to Enhance SEO Section 6: Section 6: Optimizing Website Content for Local Search Lecture 11 6.1: Writing Compelling Meta Descriptions with Location Keywords Lecture 12 6.2: Creating Location-Specific Pages on Your Website Section 7: Section 7: Improving Customer Reviews and Ratings Lecture 13 7.1: Encouraging Happy Customers to Leave Reviews Lecture 14 7.2: Responding to Reviews and Managing Online Reputation Section 8: Section 8: Utilizing Google Maps for Local SEO Lecture 15 8.1: Claiming Your Business on Google Maps Lecture 16 8.2: Adding Photos and Descriptions to Enhance Visibility Section 9: Section 9: Measuring the Success of Your Local SEO Efforts Lecture 17 9.1: Tracking Keyword Rankings and Website Traffic Lecture 18 9.2: Monitoring Conversion Rates from Online to In-Store Visits Business owners looking to increase foot traffic through Local SEO,Marketing professionals aiming to improve their company's online presence locally,Entrepreneurs starting a new business in a specific location,Digital marketers wanting to enhance their expertise in Local SEO strategies Homepage: https://www.udemy.com/course/local-seo-basics-how-to-get-more-customers-near-you/ Rapidgator https://rg.to/file/c21683b6dc5611e60576fd7d7baceabb/sxonm.Local.Seo.Basics.How.To.Get.More.Customers.Near.You.rar.html Fikper Free Download https://fikper.com/ocwjcPhEDN/sxonm.Local.Seo.Basics.How.To.Get.More.Customers.Near.You.rar.html No Password - Links are Interchangeable

Free Download Udemy - Local Seo For Small Businesses - Get Found & Grow Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 183.57 MB | Duration: 0h 44m Learn how to optimize your online presence for local customers What you'll learn Understand the basics of Local Search Engine Optimization and its importance. Create and optimize a Google My Business listing to improve online visibility. Conduct keyword research specific to your local area to attract more customers. Apply on-page SEO techniques such as optimizing title tags, meta Descriptions, and website content for better search rankings. Build high-quality backlinks and citations to increase your website's authority in the eyes of search engines. Maintain NAP (Name, Address, Phone Number) consistency across various directories and platforms to enhance credibility. Manage online reviews effectively by encouraging positive feedback and addressing negative reviews professionally. Develop local content marketing strategies including blogs, articles, and social media engagement. Requirements Basic understanding of how websites work Description Unlocking the Potential of Local SEO for Your Small BusinessAre you tired of struggling to be seen by your local customers? Do you wish you could attract more foot traffic and increase your business's visibility online? Look no further than our comprehensive course, *Local SEO for Small Businesses: Get Found & Grow*. Whether you're just starting out or looking to enhance your current digital marketing efforts, this beginner-friendly guide will equip you with the knowledge and skills needed to optimize your website, listings, and reputation for maximum impact.In this course, we delve into the essentials of local search engine optimization (SEO), empowering you to attract more customers in your immediate area. Local SEO is crucial for small businesses looking to thrive online, making it essential that you understand how to leverage it effectively. By completing this course, you'll learn how to optimize your Google My Business listing, craft compelling on-page content, and build a strong web presence through high-quality backlinks and consistent NAP (Name, Address, Phone number) information.You will also discover the importance of keyword research, creating local blogs, engaging with social media platforms, and managing online reviews. Each lesson is designed to teach you practical strategies that can be implemented immediately in your business operations. From identifying relevant keywords to tracking performance metrics, this course provides a step-by-step approach to improving your local SEO efforts.This course is ideal for small business owners who want to boost their online presence without investing heavily in digital marketing campaigns. No prior experience with SEO or web design is necessary-just a desire to learn and improve your business's visibility! By the end of this course, you will have gained valuable skills such as creating an effective Google My Business listing, optimizing content for local search queries, and building backlinks that enhance your website authority.The target audience includes entrepreneurs, small business owners, marketing professionals, and anyone looking to grow their local customer base through improved online visibility. This course offers a unique blend of practical tips and actionable strategies tailored specifically for the needs of small businesses. By parti[beeep]ting in this comprehensive training program, you'll not only learn best practices but also gain confidence in implementing these techniques to achieve tangible results.Don't miss out on this opportunity to enhance your business's digital footprint and attract more local customers! Enroll now and start seeing real improvements in your online presence and customer engagement.Why Choose This Course?:Expert-led instruction with practical, actionable advice.In-depth exploration of key Local SEO elements.Includes voiceover slides for engaging learning experiences.Tailored specifically for small businesses looking to grow locally. Overview Section 1: Section 1: Introduction to Local SEO Lecture 1 1.1: What is Local SEO? 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Free Download Udemy - AI-Powered Local SEO Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 3.44 GB | Duration: 2h 10m Boost visibility, dominate search results, and scale your business with Cutting-Edge AI tool What you'll learn Optimize Local SEO with AI - Boost rankings using AI-driven keyword research, content automation, and hyperlocal marketing strategies. Master Google Business Profile - Learn AI-powered techniques to optimize GMB, track insights, and increase visibility in local searches. Automate SEO & Ads - Streamline local SEO, automate reviews, and run hyperlocal ad campaigns with AI for better engagement & conversion Track & Outrank Competitors - Use AI tools to analyze competitors, build high-impact backlinks, and dominate local search results. Implement Voice Search Optimization - Adapt your content for AI assistants like Siri & Alexa to capture more local search traffic. 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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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