Best AI tools for< Create Linkedin Carousels >

Dottypost is an AI-powered tool designed to help users create engaging and visually appealing LinkedIn posts and carousels. It offers a range of features to streamline the content creation process, including topic-based post generation, templates, and content inspiration from a library of viral posts. Dottypost also allows users to schedule posts and manage multiple LinkedIn accounts, making it a comprehensive solution for LinkedIn marketing and engagement.

Supergrow is a LinkedIn personal branding tool that helps users grow their audience, get post ideas, craft engaging content and carousels, and effectively engage with their network. It is an all-in-one platform that makes it easy to build a personal brand on LinkedIn.

PostNitro is an AI-powered carousel maker that creates visually captivating carousels for Instagram, LinkedIn, and more to drive social engagement and growth. With PostNitro, you can create stunning carousels in under a minute using our intuitive carousel design editor. Simply enter a topic or description, and our AI will instantly generate an optimized, visually appealing full carousel based on your input. You can then customize the carousel by adding your brand's logo, colors, fonts, and custom visuals and text per slide. Once you're happy with your design, you can download it in sharable image or PDF formats to easily publish across social platforms.

aiCarousels.com is a Carousel Maker & Generator designed for LinkedIn, Instagram, and TikTok users to create visually engaging carousels for social media without the need for design expertise. The user-friendly tool simplifies the process of crafting captivating content, while AI technology assists in writing the carousel content. With features like AI Writing Assistant, No Design Expertise Required, Smart Auto-Resize, Predefined Colors & Fonts, and Fully Customizable Templates, aiCarousels empowers users to enhance their online presence and boost engagement on social media platforms.

ViralGen is an AI-powered LinkedIn post generator that helps users create viral-ready content to grow their network fast. It is trained on 300M+ views and reverse-engineers trends to make scroll-stopping virality inevitable. The tool allows users to create captivating, viral content with ease, deploy laser-targeted engagement, and cut content creation time by 80% using AI. It also offers features like instant carousel design, AI-powered content creation, and a 24/7 LinkedIn growth engine.

Soshial is an AI-driven platform designed to help users grow their audience on LinkedIn by providing post ideas, engaging posts, and carousels. It offers features such as instant post ideas generation, repurposing content for LinkedIn posts, and creating captivating carousels. Trusted by LinkedIn experts, founders, marketers, and professionals, Soshial aims to enhance users' LinkedIn presence and streamline their content creation workflow.

AI Carousel Generator is a powerful tool designed to create visually appealing and engaging carousel posts for social media platforms such as LinkedIn. With its intuitive interface and advanced algorithms, users can easily generate professional-looking carousels in minutes. The tool offers a wide range of customization options, including templates, colors, fonts, and animations, allowing users to tailor their carousels to suit their branding and messaging needs. Whether you're a marketer, content creator, or business owner, AI Carousel Generator can help you enhance your online presence and drive engagement with your audience.

AI LinkedIn Banners is an online tool that uses computer vision technology to analyze LinkedIn resumes and create personalized LinkedIn banners. The tool identifies areas for improvement and implements changes with precision. Users can download their resume in PDF format from LinkedIn, upload it to AI LinkedIn Banners, and the AI model will create a personalized LinkedIn banner for them. The tool is easy to use and affordable, and it can help users create a professional and eye-catching LinkedIn banner that will help them stand out from the crowd.

ReachifyMe is an AI-powered LinkedIn post generator that helps users create high-quality LinkedIn posts in under 7 minutes. The tool provides users with ready-made post ideas, viral post templates, and a content editor to help them craft posts that stand out in the crowded LinkedIn landscape. ReachifyMe also offers a content planner that allows users to save and schedule their posts, as well as track their performance.

HeroPost is a user-friendly AI tool designed to help users create engaging LinkedIn posts in just 1 minute. It simplifies the process of writing, editing, and publishing posts, allowing users to grow their presence on LinkedIn without spending hours on content creation. The tool offers features like generating posts from YouTube videos, vocals, or notes, editing posts with AI assistance, and scheduling or publishing posts directly within the platform. HeroPost aims to streamline the content creation process and provide a personalized touch to each post, ultimately helping users stand out on LinkedIn.

LinkedIn Post Generator is an AI-powered tool that helps users create compelling and impactful LinkedIn posts in minutes. It offers a range of features including AI content generation, headline generation, text formatting, content calendar, and analytics. The platform analyzes trends, user behavior, and industry insights to generate posts that are relevant and engaging. It also provides a preview feature to ensure that posts look their best before publishing. LinkedIn Post Generator is designed to help users save time and effort in content creation, establish thought leadership, and drive engagement on LinkedIn.

RedactAI is an AI-powered tool designed to assist users in creating high-quality LinkedIn posts effortlessly. By analyzing the user's writing style and previous LinkedIn posts, RedactAI generates personalized content in just a few clicks. With features like content selection, style definition, and post generation, RedactAI aims to save users valuable time in content creation and enhance their online presence on LinkedIn. The tool has gained popularity among content creators worldwide for its ability to mimic the user's tone of voice and writing style effectively.

Postli is a LinkedIn post generator that helps users create high-quality posts using AI. It offers a variety of features, including the ability to generate posts using styles from top LinkedIn creators, use custom prompts, generate posts based on examples, enhance posts, and create lists of books, companies, and others for posts. Postli is powered by ChatGPT and Vercel Edge Functions.

ContentIn is an AI-powered LinkedIn content creation tool that helps users write better LinkedIn content, 10x faster. It offers a full LinkedIn content suite, including a personal AI Ghostwriter, post scheduler, and post analytics. With ContentIn, users can generate and nurture more leads, increase engagement on their posts, increase their visibility and grow their network, maintain a consistent and impactful LinkedIn presence, and rise above the competition by consistently providing value.

curioAI is an AI tool that offers a one-stop knowledge platform powered by artificial intelligence. Users can sign in with Google to access a wide range of information on various topics, from artificial intelligence and black holes to mental health and memes. The tool helps users generate engaging tweets and LinkedIn posts, unlock new professional opportunities, and gain deep understanding on complex topics in simple terms. With the power of AI, curioAI aims to provide users with new insights, ideas, and original songs to enhance their knowledge and creativity.

Everyme.ai is an AI-powered headshot generator that helps you create professional and eye-catching profile pictures for LinkedIn and other platforms. With its advanced AI algorithms and a vast collection of styles, Everyme.ai can generate high-quality headshots that are tailored to your preferences and needs. The app is easy to use and allows you to select from a variety of models and styles to create a headshot that perfectly represents your personal brand.

Postli is a powerful AI-driven tool designed to help users create engaging and high-quality posts for LinkedIn. With thousands of templates and advanced features, Postli simplifies the post creation process, enabling users to go viral on the platform. From generating posts using styles from top LinkedIn creators to enhancing and customizing posts, Postli offers a comprehensive solution for individuals and businesses looking to boost their presence on LinkedIn. In addition to post creation, Postli also provides various other LinkedIn tools and resources to support users in their content planning and growth strategies.

Scripe is an AI-powered tool designed to help users create viral and goal-oriented LinkedIn content quickly and effortlessly. It offers features like Voice-to-Post, content repurposing, goal-oriented analytics, and personalized content ideas. Scripe adapts to individual writing styles, making content creation simpler and faster. Users can save time and effort by leveraging the AI capabilities to generate engaging posts based on their thoughts and recordings. The tool is suitable for creators, teams, and businesses looking to enhance their content creation workflow on LinkedIn.

CopyTruck is an AI-powered writing assistant that helps you create engaging and effective LinkedIn posts, articles, and other content. With CopyTruck, you can quickly and easily generate high-quality content that will help you grow your brand and reach your target audience. CopyTruck offers a variety of features to help you create great LinkedIn content, including:

InstaPhotoAI is a web-based application that uses artificial intelligence to create realistic photos from scratch. With InstaPhotoAI, you can create photos of people, places, and things that look like they were taken with a real camera. The application is easy to use and can be used to create photos for a variety of purposes, including social media, marketing, and art.

Carousel Generator is an open-source tool for creating and customizing carousels for LinkedIn. It comes with AI carousel generation, react-hook-form powered forms, sleek UI components, input validation, responsive layout, automatic updates, icons, titles auto-balance, data persistence, various settings configuration, slide management, different slide types, export/import features, emoji support, and font selection.

The Linkedin API for Python allows users to programmatically search profiles, send messages, and find jobs using a regular Linkedin user account. It does not require 'official' API access, just a valid Linkedin account. However, it is important to note that this library is not officially supported by LinkedIn and using it may violate LinkedIn's Terms of Service. Users can authenticate using any Linkedin account credentials and access features like getting profiles, profile contact info, and connections. The library also provides commercial alternatives for extracting data, scraping public profiles, and accessing a full LinkedIn API. It is not endorsed or supported by LinkedIn and is intended for educational purposes and personal use only.

Sentient is a personal, private, and interactive AI companion developed by Existence. The project aims to build a completely private AI companion that is deeply personalized and context-aware of the user. It utilizes automation and privacy to create a true companion for humans. The tool is designed to remember information about the user and use it to respond to queries and perform various actions. Sentient features a local and private environment, MBTI personality test, integrations with LinkedIn, Reddit, and more, self-managed graph memory, web search capabilities, multi-chat functionality, and auto-updates for the app. The project is built using technologies like ElectronJS, Next.js, TailwindCSS, FastAPI, Neo4j, and various APIs.

LLM for Unity enables seamless integration of Large Language Models (LLMs) within the Unity engine, allowing users to create intelligent characters for immersive player interactions. The tool supports major LLM models, runs locally without internet access, offers fast inference on CPU and GPU, and is easy to set up with a single line of code. It is free for both personal and commercial use, tested on Unity 2021 LTS, 2022 LTS, and 2023. Users can build multiple AI characters efficiently, use remote servers for processing, and customize model settings for text generation.

This repository provides AI tools for developers through Docker containers, enabling agentic workflows. It allows users to create complex workflows using Dockerized tools and Markdown, leveraging various LLM models. The core features include Dockerized tools, conversation loops, multi-model agents, project-first design, and trackable prompts stored in a git repo.

Zero-True is a Python and SQL reactive computational notebook designed for building and collaborating on data-driven applications. It offers an integrated and simple environment with transparent updates, dynamic and interactive UI rendering, fast prototyping capabilities, and open-source community contributions. Users can create rich, reactive apps with ease and publish them confidently. Zero-True aims to improve data accessibility and foster collaboration among users.

IMAGINE - AI is a groundbreaking image generator tool that leverages the power of OpenAI's DALL-E 2 API library to create extraordinary visuals. Developed using Node.js and Express, this tool offers a transformative way to unleash artistic creativity and imagination by generating unique and captivating images through simple prompts or keywords.

DataHorse is an open-source tool and Python library that simplifies data science for everyone. It allows users to interact with data in plain English without requiring technical skills. Users can create graphs, modify data, and build machine learning models to make predictions. The tool is designed to help businesses and individuals quickly understand their data and make data-driven decisions with ease.

ScrapeGraphAI is a web scraping Python library that utilizes LLM and direct graph logic to create scraping pipelines for websites and local documents. It offers various standard scraping pipelines like SmartScraperGraph, SearchGraph, SpeechGraph, and ScriptCreatorGraph. Users can extract information by specifying prompts and input sources. The library supports different LLM APIs such as OpenAI, Groq, Azure, and Gemini, as well as local models using Ollama. ScrapeGraphAI is designed for data exploration and research purposes, providing a versatile tool for extracting information from web pages and generating outputs like Python scripts, audio summaries, and search results.

Extension | OS is an open-source browser extension that brings AI directly to users' web browsers, allowing them to access powerful models like LLMs seamlessly. Users can create prompts, fix grammar, and access intelligent assistance without switching tabs. The extension aims to revolutionize online information interaction by integrating AI into everyday browsing experiences. It offers features like Prompt Factory for tailored prompts, seamless LLM model access, secure API key storage, and a Mixture of Agents feature. The extension was developed to empower users to unleash their creativity with custom prompts and enhance their browsing experience with intelligent assistance.

Codemod platform is a tool that helps developers create, distribute, and run codemods in codebases of any size. The AI-powered, community-led codemods enable automation of framework upgrades, large refactoring, and boilerplate programming with speed and developer experience. It aims to make dream migrations a reality for developers by providing a platform for seamless codemod operations.

Build your dream team with Autogen is a repository that leverages Microsoft Autogen 0.4, Azure OpenAI, and Streamlit to create an end-to-end multi-agent application. It provides an advanced multi-agent framework based on Magentic One, with features such as a friendly UI, single-line deployment, secure code execution, managed identities, and observability & debugging tools. Users can deploy Azure resources and the app with simple commands, work locally with virtual environments, install dependencies, update configurations, and run the application. The repository also offers resources for learning more about building applications with Autogen.

Albumentations is a Python library for image augmentation. Image augmentation is used in deep learning and computer vision tasks to increase the quality of trained models. The purpose of image augmentation is to create new training samples from the existing data.

hackingBuddyGPT is a framework for testing LLM-based agents for security testing. It aims to create common ground truth by creating common security testbeds and benchmarks, evaluating multiple LLMs and techniques against those, and publishing prototypes and findings as open-source/open-access reports. The initial focus is on evaluating the efficiency of LLMs for Linux privilege escalation attacks, but the framework is being expanded to evaluate the use of LLMs for web penetration-testing and web API testing. hackingBuddyGPT is released as open-source to level the playing field for blue teams against APTs that have access to more sophisticated resources.

Swarms provides simple, reliable, and agile tools to create your own Swarm tailored to your specific needs. Currently, Swarms is being used in production by RBC, John Deere, and many AI startups.

Axone is a public dPoS layer 1 designed for connecting, sharing, and monetizing resources in the AI stack. It is an open network for collaborative AI workflow management compatible with any data, model, or infrastructure, allowing sharing of data, algorithms, storage, compute, APIs, both on-chain and off-chain. The 'axoned' node of the AXONE network is built on Cosmos SDK & Tendermint consensus, enabling companies & individuals to define on-chain rules, share off-chain resources, and create new applications. Validators secure the network by maintaining uptime and staking $AXONE for rewards. The blockchain supports various platforms and follows Semantic Versioning 2.0.0. A docker image is available for quick start, with documentation on querying networks, creating wallets, starting nodes, and joining networks. Development involves Go and Cosmos SDK, with smart contracts deployed on the AXONE blockchain. The project provides a Makefile for building, installing, linting, and testing. Community involvement is encouraged through Discord, open issues, and pull requests.

Kwaak is a tool that allows users to run a team of autonomous AI agents locally from their own machine. It enables users to write code, improve test coverage, update documentation, and enhance code quality while focusing on building innovative projects. Kwaak is designed to run multiple agents in parallel, interact with codebases, answer questions about code, find examples, write and execute code, create pull requests, and more. It is free and open-source, allowing users to bring their own API keys or models via Ollama. Kwaak is part of the bosun.ai project, aiming to be a platform for autonomous code improvement.

ScrapeGraphAI is a Python library that uses Large Language Models (LLMs) and direct graph logic to create web scraping pipelines for websites, documents, and XML files. It allows users to extract specific information from web pages by providing a prompt describing the desired data. ScrapeGraphAI supports various LLMs, including Ollama, OpenAI, Gemini, and Docker, enabling users to choose the most suitable model for their needs. The library provides a user-friendly interface through its `SmartScraper` class, which simplifies the process of building and executing scraping pipelines. ScrapeGraphAI is open-source and available on GitHub, with extensive documentation and examples to guide users. It is particularly useful for researchers and data scientists who need to extract structured data from web pages for analysis and exploration.

This course has 18 lessons. Each lesson covers its own topic so start wherever you like! Lessons are labeled either "Learn" lessons explaining a Generative AI concept or "Build" lessons that explain a concept and code examples in both **Python** and **TypeScript** when possible. Each lesson also includes a "Keep Learning" section with additional learning tools. **What You Need** * Access to the Azure OpenAI Service **OR** OpenAI API - _Only required to complete coding lessons_ * Basic knowledge of Python or Typescript is helpful - *For absolute beginners check out these Python and TypeScript courses. * A Github account to fork this entire repo to your own GitHub account We have created a **Course Setup** lesson to help you with setting up your development environment. Don't forget to star (🌟) this repo to find it easier later. ## 🧠 Ready to Deploy? If you are looking for more advanced code samples, check out our collection of Generative AI Code Samples in both **Python** and **TypeScript**. ## 🗣️ Meet Other Learners, Get Support Join our official AI Discord server to meet and network with other learners taking this course and get support. ## 🚀 Building a Startup? Sign up for Microsoft for Startups Founders Hub to receive **free OpenAI credits** and up to **$150k towards Azure credits to access OpenAI models through Azure OpenAI Services**. ## 🙏 Want to help? Do you have suggestions or found spelling or code errors? Raise an issue or Create a pull request ## 📂 Each lesson includes: * A short video introduction to the topic * A written lesson located in the README * Python and TypeScript code samples supporting Azure OpenAI and OpenAI API * Links to extra resources to continue your learning ## 🗃️ Lessons | | Lesson Link | Description | Additional Learning | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | | 00 | Course Setup | **Learn:** How to Setup Your Development Environment | Learn More | | 01 | Introduction to Generative AI and LLMs | **Learn:** Understanding what Generative AI is and how Large Language Models (LLMs) work. | Learn More | | 02 | Exploring and comparing different LLMs | **Learn:** How to select the right model for your use case | Learn More | | 03 | Using Generative AI Responsibly | **Learn:** How to build Generative AI Applications responsibly | Learn More | | 04 | Understanding Prompt Engineering Fundamentals | **Learn:** Hands-on Prompt Engineering Best Practices | Learn More | | 05 | Creating Advanced Prompts | **Learn:** How to apply prompt engineering techniques that improve the outcome of your prompts. | Learn More | | 06 | Building Text Generation Applications | **Build:** A text generation app using Azure OpenAI | Learn More | | 07 | Building Chat Applications | **Build:** Techniques for efficiently building and integrating chat applications. | Learn More | | 08 | Building Search Apps Vector Databases | **Build:** A search application that uses Embeddings to search for data. | Learn More | | 09 | Building Image Generation Applications | **Build:** A image generation application | Learn More | | 10 | Building Low Code AI Applications | **Build:** A Generative AI application using Low Code tools | Learn More | | 11 | Integrating External Applications with Function Calling | **Build:** What is function calling and its use cases for applications | Learn More | | 12 | Designing UX for AI Applications | **Learn:** How to apply UX design principles when developing Generative AI Applications | Learn More | | 13 | Securing Your Generative AI Applications | **Learn:** The threats and risks to AI systems and methods to secure these systems. | Learn More | | 14 | The Generative AI Application Lifecycle | **Learn:** The tools and metrics to manage the LLM Lifecycle and LLMOps | Learn More | | 15 | Retrieval Augmented Generation (RAG) and Vector Databases | **Build:** An application using a RAG Framework to retrieve embeddings from a Vector Databases | Learn More | | 16 | Open Source Models and Hugging Face | **Build:** An application using open source models available on Hugging Face | Learn More | | 17 | AI Agents | **Build:** An application using an AI Agent Framework | Learn More | | 18 | Fine-Tuning LLMs | **Learn:** The what, why and how of fine-tuning LLMs | Learn More |

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