Best AI tools for< Create Lessons >

Mindsmith is a next-gen eLearning authoring tool that leverages generative AI to streamline the process of creating and sharing learning content. It allows users to collaborate, customize, and fine-tune lessons with the assistance of AI, enabling rapid authoring and development of educational materials. With features like AI audio narration, content customization, and seamless integration with Learning Management Systems (LMS), Mindsmith empowers instructional designers to create engaging and personalized learning experiences efficiently.

Mindsmith is a next-generation eLearning authoring tool that leverages generative AI to streamline and expedite the creation and sharing of learning content. It empowers users to collaborate seamlessly, customize content to align with organizational needs, and seamlessly integrate with existing LMS platforms. Mindsmith's intuitive interface and AI-driven capabilities make it an invaluable asset for eLearning professionals seeking to enhance their productivity and deliver engaging learning experiences.

Roshi is an AI-powered platform that enables teachers to create custom interactive learning materials quickly and efficiently. With Roshi, educators can save time by generating fully voiced dialogues, visuals, and targeted activities based on specific criteria. The platform utilizes AI to streamline the lesson creation process, allowing teachers to share content seamlessly across various learning platforms like Moodle and Google Classroom.

Curipod is an AI-powered educational platform that aims to enhance student engagement and learning outcomes. It offers personalized lessons, real-time feedback, and interactive activities to create a dynamic and supportive learning environment. With features like AI-driven feedback, rubric-aligned assessments, and customizable lesson plans, Curipod empowers teachers and students to collaborate effectively. The platform is designed to promote 100% student participation, foster peer interaction, and drive academic growth through innovative teaching methods.

TeachEdge.ai is an innovative AI-powered platform designed to revolutionize the field of education. It leverages cutting-edge artificial intelligence technology to provide personalized learning experiences for students, streamline administrative tasks for educators, and enhance overall teaching effectiveness. With advanced algorithms and machine learning capabilities, TeachEdge.ai offers a comprehensive suite of tools and resources to optimize the learning process and improve educational outcomes.

Build-a-Lesson is an AI-powered platform that allows educators and individuals to create interactive video lessons effortlessly. The application leverages AI technology to generate quizzes, enhance learning experiences, and transform traditional study sessions into engaging and collaborative activities. With Build-a-Lesson, users can turn any YouTube video or Wikipedia article into an immersive learning experience, complete with interactive elements and assessments. The platform aims to revolutionize the way lessons are created and delivered, making learning more interactive, engaging, and effective for students of all ages.

LearningStudioAI is an AI-powered authoring tool that helps you create engaging and effective online courses. With LearningStudioAI, you can quickly and easily create interactive lessons, assessments, and simulations that are tailored to the needs of your learners. LearningStudioAI also provides a range of features to help you track your learners' progress and measure the effectiveness of your courses.

Sendsteps is an AI-powered platform designed for educators to create interactive and impactful learning experiences. It transforms raw content into visually stunning presentations and quizzes in minutes, enhancing student engagement and lesson quality. With features like AI-driven content creation and interactive quizzes, Sendsteps aims to make teaching efficient, interactive, and enjoyable for both educators and students.

Almaya is a digital autobiography platform that allows users to record and share their stories, advice, and life lessons with their loved ones. It is a safe and private way to preserve memories and connect with family and friends, both now and in the future. Almaya uses artificial intelligence to help users create a personalized and interactive autobiography that can be easily shared and accessed from anywhere, anytime.

Twee is an AI-powered tool designed for English teachers to enhance their lessons by creating questions, dialogues, stories, articles, and various exercises quickly and efficiently. It covers a wide range of aspects in language teaching, such as reading, writing, vocabulary, listening, speaking, and grammar. Twee aims to streamline lesson planning and provide educators with innovative resources to engage students effectively.

Synthesis is a web-based application that allows users to create realistic-sounding synthetic speech from text. The application uses a variety of AI techniques, including natural language processing and machine learning, to generate speech that is both natural-sounding and easy to understand. Synthesis can be used for a variety of purposes, including creating voiceovers for videos, podcasts, and presentations.

EverLearns is an AI-powered platform that allows users to create high-quality online courses in just 5 minutes. It caters to educators, content creators, and parents who are looking for an efficient way to develop educational content. The platform utilizes AI technology to generate course materials, provide interactive editing features, and streamline the course sharing process. With EverLearns, users can save time and effort in course development while maintaining a human-centric approach to content creation.

Eduaide.Ai is an AI-driven platform designed to assist educators in creating lesson plans, teaching resources, and assessments. It offers features such as AI-assisted lesson planning, teaching resources generation, feedback bot, personalization tools, and assessment builder. The platform aims to streamline administrative tasks, provide personalized learning experiences, and enhance teaching efficiency through AI technology.

Oscar is a personalized bedtime story app that allows children to be the star of their own stories. With the help of AI, Oscar generates unique stories that are tailored to each child's interests and preferences. The stories are educational and entertaining, and they cover a wide range of topics, including honesty, kindness, courage, empathy, and responsibility. Oscar also offers a variety of features that make it easy for parents to create and share stories with their children.

Wonder Tales Blog is a website that allows users to create personalized fairy tales for children. The website features a variety of templates and illustrations that can be used to create unique stories. The stories can be read in audio format or downloaded as PDFs. Wonder Tales Blog also offers a variety of resources for parents and educators, including tips on how to use fairy tales to teach children valuable life lessons.

StudyRaid is an AI-powered platform that enables users to learn anything 10X faster through personalized courses generated by AI. The platform offers a wide range of features such as AI-crafted lessons, audio lessons, real-time chat with AI, certification programs, quizzes, flashcards, exams, and key points. Users can create their own complete courses with tailored content to suit their learning style. StudyRaid aims to revolutionize the learning experience by providing efficient and focused learning opportunities for students and professionals alike.

Yepic AI is a real-time AI avatar technology for corporate learning and customer experience professionals wanting to significantly improve learning outcomes and deliver excellent customer service. It offers a range of products including asynchronous studio express, asynchronous studio pro, real-time video agents, and real-time asynchronous API. Yepic AI's avatars are knowledgeable, lifelike, and multilingual, and can be used for a variety of purposes such as education and training, health and fitness, and customer support.

StoriesForKids.ai is an AI-powered platform that helps parents create personalized children's books. With StoriesForKids.ai, parents can turn real-life situations into fun stories and illustrations in seconds. The platform is designed to make reading and creating together a fun and engaging experience for both parents and children.

Heights Platform is an AI-powered course creation software that enables creators to build online courses, digital products, and memberships. The platform offers AI guidance and coaching for creators, learner analytics, payment collection, and integration with favorite tools. With Heights Platform, creators can design websites, engage with their audience, and scale their businesses on their own terms. The platform provides a comprehensive solution for turning knowledge into income, with features like lesson editing, flexible content structure, multimedia content support, and secure hosting for videos. Creators can create unlimited courses with modules and lessons, offer various payment methods, and customize their branding and website. Heights Platform also allows creators to build and grow private communities with unlimited channels, offering a unique approach to online learning and business development.

Artemis AI is an AI-powered application that offers personalized bedtime stories focusing on empathy and emotional intelligence for children. The app features inclusive representation, personalized storytelling, and a free trial with limitless imagination. Users can create unique stories tailored to their child's needs and interests, fostering a stronger bond and love for reading. With over 125K story combinations built-in, Artemis AI aims to shape meaningful moments and impart valuable life lessons through empathy-based storytelling.

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 |

The LLM Twin Course is a free, end-to-end framework for building production-ready LLM systems. It teaches you how to design, train, and deploy a production-ready LLM twin of yourself powered by LLMs, vector DBs, and LLMOps good practices. The course is split into 11 hands-on written lessons and the open-source code you can access on GitHub. You can read everything and try out the code at your own pace.

This practical free hands-on course focuses on Large Language models and their applications, providing a hands-on experience using models from OpenAI and the Hugging Face library. The course is divided into three major sections: Techniques and Libraries, Projects, and Enterprise Solutions. It covers topics such as Chatbots, Code Generation, Vector databases, LangChain, Fine Tuning, PEFT Fine Tuning, Soft Prompt tuning, LoRA, QLoRA, Evaluate Models, Knowledge Distillation, and more. Each section contains chapters with lessons supported by notebooks and articles. The course aims to help users build projects and explore enterprise solutions using Large Language Models.

Mastering GitHub Copilot for AI Paired Programming is a comprehensive course designed to equip you with the skills and knowledge necessary to harness the power of GitHub Copilot, an AI-driven coding assistant. Through a series of engaging lessons, you will learn how to seamlessly integrate GitHub Copilot into your workflow, leveraging its autocompletion, customizable features, and advanced programming techniques. This course is tailored to provide you with a deep understanding of AI-driven algorithms and best practices, enabling you to enhance code quality and accelerate your coding skills. By embracing the transformative power of AI paired programming, you will gain the tools and confidence needed to succeed in today's dynamic software development landscape.

AI-For-Beginners is a comprehensive 12-week, 24-lesson curriculum designed by experts at Microsoft to introduce beginners to the world of Artificial Intelligence (AI). The curriculum covers various topics such as Symbolic AI, Neural Networks, Computer Vision, Natural Language Processing, Genetic Algorithms, and Multi-Agent Systems. It includes hands-on lessons, quizzes, and labs using popular frameworks like TensorFlow and PyTorch. The focus is on providing a foundational understanding of AI concepts and principles, making it an ideal starting point for individuals interested in AI.

This repository contains custom Evilginx phishlets that are meticulously crafted and updated for real-world applications. It also offers an advanced course, EvilGoPhish Mastery, focusing on phishing and smishing techniques using EvilGoPhish 3.0. The course complements the repository by providing in-depth guidance on deploying these scripts for red team phishing and smishing campaigns.

ChatGPT Queue Prompts is a collection of prompt chains designed to enhance interactions with large language models like ChatGPT. These prompt chains help build context for the AI before performing specific tasks, improving performance. Users can copy and paste prompt chains into the ChatGPT Queue extension to process prompts in sequence. The repository includes example prompt chains for tasks like conducting AI company research, building SEO optimized blog posts, creating courses, revising resumes, enriching leads for CRM, personal finance document creation, workout and nutrition plans, marketing plans, and more.

MediaAI is a repository containing lectures and materials for Aalto University's AI for Media, Art & Design course. The course is a hands-on, project-based crash course focusing on deep learning and AI techniques for artists and designers. It covers common AI algorithms & tools, their applications in art, media, and design, and provides hands-on practice in designing, implementing, and using these tools. The course includes lectures, exercises, and a final project based on students' interests. Students can complete the course without programming by creatively utilizing existing tools like ChatGPT and DALL-E. The course emphasizes collaboration, peer-to-peer tutoring, and project-based learning. It covers topics such as text generation, image generation, optimization, and game AI.

The AI Engineering Hub is a repository that provides in-depth tutorials on LLMs and RAGs, real-world AI agent applications, and examples to implement, adapt, and scale in projects. It caters to beginners, practitioners, and researchers, offering resources for all skill levels to experiment and succeed in AI engineering.

This repository serves as a resource for the Introduction to Large Language Models (LLMs) course, providing Jupyter notebooks with hands-on examples and exercises to help users learn the basics of Large Language Models. It includes information on installed packages, updates, and setting up a virtual environment for managing packages and running Jupyter notebooks.

A set of instructional materials, code samples and Python scripts featuring LLMs (GPT etc) through interfaces like llamaindex, langchain, Chroma (Chromadb), Pinecone etc. Mainly used to store reference code for my LangChain tutorials on YouTube.

This repository contains code for building cooperative embodied agents modularly with large language models. The agents are trained to perform tasks in two different environments: ThreeDWorld Multi-Agent Transport (TDW-MAT) and Communicative Watch-And-Help (C-WAH). TDW-MAT is a multi-agent environment where agents must transport objects to a goal position using containers. C-WAH is an extension of the Watch-And-Help challenge, which enables agents to send messages to each other. The code in this repository can be used to train agents to perform tasks in both of these environments.

Lingo is an interactive platform for language learning that provides a modern UI/UX experience. It offers features like courses, quests, and a shop for users to engage with. The tech stack includes React JS, Next JS, Typescript, Tailwind CSS, Vercel, and Postgresql. Users can contribute to the project by submitting changes via pull requests. The platform utilizes resources from CodeWithAntonio, Kenney Assets, Freesound, Elevenlabs AI, and Flagpack. Key dependencies include @clerk/nextjs, @neondatabase/serverless, @radix-ui/react-avatar, and more. Users can follow the project creator on GitHub and Twitter, as well as subscribe to their YouTube channel for updates. To learn more about Next.js, users can refer to the Next.js documentation and interactive tutorial.

Awesome LLM Courses is a curated list of online courses focused on Large Language Models (LLMs). The repository aims to provide a comprehensive collection of free available courses covering various aspects of LLMs, including fundamentals, engineering, and applications. The courses are suitable for individuals interested in natural language processing, AI development, and machine learning. The list includes courses from reputable platforms such as Hugging Face, Udacity, DeepLearning.AI, Cohere, DataCamp, and more, offering a wide range of topics from pretraining LLMs to building AI applications with LLMs. Whether you are a beginner looking to understand the basics of LLMs or an intermediate developer interested in advanced topics like prompt engineering and generative AI, this repository has something for everyone.

The LLMEvaluation repository is a comprehensive compendium of evaluation methods for Large Language Models (LLMs) and LLM-based systems. It aims to assist academics and industry professionals in creating effective evaluation suites tailored to their specific needs by reviewing industry practices for assessing LLMs and their applications. The repository covers a wide range of evaluation techniques, benchmarks, and studies related to LLMs, including areas such as embeddings, question answering, multi-turn dialogues, reasoning, multi-lingual tasks, ethical AI, biases, safe AI, code generation, summarization, software performance, agent LLM architectures, long text generation, graph understanding, and various unclassified tasks. It also includes evaluations for LLM systems in conversational systems, copilots, search and recommendation engines, task utility, and verticals like healthcare, law, science, financial, and others. The repository provides a wealth of resources for evaluating and understanding the capabilities of LLMs in different domains.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

Awesome GPT + Security is a curated list of awesome security tools, experimental case or other interesting things with LLM or GPT. It includes tools for integrated security, auditing, reconnaissance, offensive security, detecting security issues, preventing security breaches, social engineering, reverse engineering, investigating security incidents, fixing security vulnerabilities, assessing security posture, and more. The list also includes experimental cases, academic research, blogs, and fun projects related to GPT security. Additionally, it provides resources on GPT security standards, bypassing security policies, bug bounty programs, cracking GPT APIs, and plugin security.

The Alignment Handbook provides robust training recipes for continuing pretraining and aligning language models with human and AI preferences. It includes techniques such as continued pretraining, supervised fine-tuning, reward modeling, rejection sampling, and direct preference optimization (DPO). The handbook aims to fill the gap in public resources on training these models, collecting data, and measuring metrics for optimal downstream performance.

HuggingFaceGuidedTourForMac is a guided tour on how to install optimized pytorch and optionally Apple's new MLX, JAX, and TensorFlow on Apple Silicon Macs. The repository provides steps to install homebrew, pytorch with MPS support, MLX, JAX, TensorFlow, and Jupyter lab. It also includes instructions on running large language models using HuggingFace transformers. The repository aims to help users set up their Macs for deep learning experiments with optimized performance.

Experta en herramientas TIC para educación (https://herramientas.tiddlyhost.com) y conversaciones de https://t.me/HerrTIC | Más GPT en https://ja.cat/eduGPT

Educational Content Creator - "HI, WHAT IS THE TOPIC YOU WANT ME TO WRITE EDUCATIONAL CONTENT FOR?"

Experte für detaillierte, klare Lerneinheiten

AI education assistant providing direct links to resources.

Give me a lesson and I can give you feedback based on Rosenshine's "Principles of Instruction"

Friendly UDL expert, myth-busting inclusively.

🤓 a Metaverse Educator

Companion to help parents to create a story for Indian toddler with life lessons and learnings specific to Indian context

Your Ultimate AI Guide to Mastering Fantasy Languages – Dive into Interactive, Culturally-Rich Lessons Today!

Align lessons to Common Core math standards

I'm here to help you deliver the best possible lessons while spending less time on admin tasks and lesson planning.

I create engaging homeschool curricula for preschool to 2nd grade, focusing on inclusivity and interactive learning.

Helps create & market online courses, offering curriculum design, lesson generation, quizzes, and marketing strategies.

Crafts engaging children's stories with valuable lessons and interactive elements.

I spin bedtime stories with heartwarming lessons, ending with a unique picture to help young ones remember the adventure.

Analyzes books and texts, applies lessons to life, creates visual prompts.

Helping you learn to work better and quicker using language models. Drawing lessons from PROMPT for Brands https://prompt.mba/.

Lisa mulle õpetatav klass, õppeaine ja teema - teen selle jaoks tunnikava.

Expert TinyTap game creator for educational content.

Formelle Unterstützung bei der Integration von Medienkompetenz in den NRW-Unterricht