DemoGPT is an open-source Python project designed to demonstrate the core concepts of AI agents using OpenAI's GPT models. It implements a conversational interface with persistent memory saved in JSON files, enabling context-aware interactions across sessions. The framework supports dynamic tool execution, such as web search, calculations, and custom extensions, through a plugin-style architecture. By simply configuring your OpenAI API key and installing dependencies, users can run DemoGPT locally to prototype chatbots, explore multi-turn dialogue flows, and test agent-driven workflows. This comprehensive demo offers developers and researchers a practical foundation for building, customizing, and experimenting with GPT-powered agents in real-world scenarios.

The Hugging Face Agents Course is a comprehensive learning path that guides users through designing, implementing, and deploying autonomous AI agents. It includes code examples for chaining language models, integrating external APIs, crafting custom prompts, and evaluating agent decisions. Participants build agents for tasks like question answering, data analysis, and workflow automation, gaining hands-on experience with Hugging Face Transformers, the Agent API, and Jupyter notebooks to accelerate real-world AI development.

Agents Course by Justinvarghese511 is a structured learning program that equips developers with the skills to architect, implement, and deploy AI agents. Through step-by-step tutorials, participants learn to design agent decision flows, integrate external APIs, and manage context and memory. The course includes hands-on code examples, Jupyter notebooks, and practical exercises for building agents that automate data extraction, respond conversationally, and perform multi-step tasks. By the end, learners will have a portfolio of working AI agent projects and best practices for production deployment.

AutoGen Hands-On provides a structured environment to learn AutoGen framework usage through practical Python examples. It guides users on cloning the repository, installing dependencies, and configuring API keys to deploy multi-agent setups. Each script demonstrates key features such as defining agent roles, session memory, message routing, and task orchestration patterns. The code includes logging, error handling, and extensible hooks that allow customization of agents’ behavior and integration with external services. Users gain hands-on experience in building collaborative AI workflows where multiple agents interact to complete complex tasks, from customer support chatbots to automated data processing pipelines. The tutorial fosters best practices in multi-agent coordination and scalable AI development.

Botley the Coding Robot makes learning to code fun and engaging for young children. Designed for kids aged 5 and up, Botley offers a screen-free coding experience that encourages hands-on learning. The robot comes with an easy-to-use remote programmer, detachable robot arms, and coding cards. Botley can be programmed to navigate obstacle courses, follow looping commands, and even perform transformations, making it an exciting and educational tool for early STEM education.

Build Club offers a streamlined path to an AI career, featuring certifications from major AI companies, practical learning with the latest AI tools, and opportunities to solve real-world challenges. The platform connects you with a community of AI learners, engineers, and founders, providing hands-on learning through paid challenges. Earn money and gain experience while building projects that address genuine business needs, all for free.

CodeHugo offers a unique platform where users can enhance their coding skills, engage in problem-solving, and receive personalized mentorship powered by GPT. With a focus on computational thinking and practical coding challenges, it aims to provide a comprehensive learning experience. Users can practice coding, receive code reviews, and optimize their learning with AI-generated suggestions and explanations. Whether you are a beginner or an experienced developer, CodeHugo tailors its mentorship to fit your individual learning pace and needs.

Our course delves into generative AI and SEO, targeting both novices and experienced professionals. You'll explore underlying concepts and practical applications, guided by Piergiorgio Zotti, a seasoned trainer with a decade of experience in digital marketing. The coursework combines theoretical knowledge with hands-on exercises to equip you with skills needed to leverage AI effectively in your work. Whether you're seeking enhancement in your career or personal projects, this course is designed to help you gain practical insights and strategies.

Duckietown combines low-cost hardware, open-source software, and a scalable ecosystem for learning AI and autonomy. Designed to be educational, it provides everything from individual learning kits to comprehensive classroom packages. Its primary product, the Duckiebot, is a small, modular robot that interacts within a miniature cityscape, reflecting real-world scenarios. This hands-on approach not only makes learning robotics enjoyable but also deeply insightful.

Growtechie is an online education platform that provides a wide range of courses in various fields including Data Science, AI Engineering, Full Stack Development, and more. Our courses are designed by industry experts to provide practical, hands-on experience, ensuring learners gain real-world skills. With options for personalized mentorship, mock interviews, and a supportive learning community, Growtechie aims to empower individuals to achieve their career goals.

This course equips developers with step-by-step guides to implement various AI Agents using the Hugging Face ecosystem. It covers leveraging Transformers for language understanding, retrieval-augmented generation, integrating external API tools, chaining prompts, and fine-tuning agent behaviors. Learners build agents for document QA, conversational assistants, workflow automation, and multi-step reasoning. Through practical notebooks, users configure agent orchestration, error handling, memory strategies, and deployment patterns to create robust, scalable AI-driven assistants for customer support, data analysis, and content generation.

Skills Over Paper is a sophisticated platform providing gamified learning experiences to help developers master in-demand skills like Generative AI & Data Science, Web, Crypto, Scientific Development, and Embedded Systems. By building real projects, users can demonstrate their skills and improve their resumes, which are integrated into the platform to accurately reflect their vetting levels. Through a blend of education and employment connections, the platform ensures developers are market-ready.

Synthesis is an online educational platform developed by the SpaceX school to promote creativity, problem-solving, and teamwork among kids. With game-based learning and interactive challenges, children are encouraged to develop critical thinking and collaborative skills. Synthesis is tailored to provide a dynamic and engaging educational experience, helping children to cultivate the skills necessary for future innovation.