10 Free Courses to Build AI Agents in 2024
A new era of autonomous AI agents has begun. The latest developments from Google I/O 2024 and OpenAI’s Spring Update confirm that all major companies are bullish on agents and that the future of AI will be ‘agentic’. “Honestly, the path to AGI feels like a journey rather than a destination, but I think agent workflows could help us take a small step forward on this very long journey,” said Andrew Ng. AI Agents will be ubiquitous, and the best part is that you can build them too! Here are the top 10 free courses to help you build next-gen consumer and enterprise agent workflows that can enhance your productivity and help you solve complex problems. Multi AI Agent Systems with crewAI Recently, Andrew Ng unveiled this agentic short course, ‘Multi AI Agent Systems with crewAI’. Available on DeepLearning.AI and built in collaboration with crewAI’s founder and CEO João Moura, it will teach you how to break down complex tasks into subtasks for specialised AI agents. Alongside this, it helps in discovering how to define roles, set expectations, and manage interactions among multiple AI agents. The course also touches upon key agentic AI techniques like role-playing, tool use, memory, guardrails, and cross-agent collaboration. It also helps you build and manage your own multi-agent systems to tackle complex tasks effectively. By the end of the course, you will also be equipped to design and deploy multi-agent architectures, driving significant progress in AI systems. New agentic short course! Multi AI Agent Systems with crewAI, built with @crewAIInc's founder and CEO @joaomdmoura. In this course, you'll learn how to break down complex tasks into subtasks for multiple AI agents, each playing a specialized role, to execute. For example, to… pic.twitter.com/qooJb8OSTm— Andrew Ng (@AndrewYNg) May 15, 2024 Building RAG Agents with LLMs This course by NVIDIA is perfect for developers looking to create advanced AI agents. In this free course, you’ll learn to deploy scalable agent systems powered by LLMs and discover how LLMs excel in tool use, document interaction, and strategic planning. You’ll also implement and evaluate RAG agents for answering research paper queries. Key topics include LLM inference interfaces, pipeline design with LangChain, Gradio, LangServe, dialogue management, and vector stores for RAG agents. By the end, you’ll have the tools to develop advanced LLM applications. 9. Building RAG Agents with LLMs:Learn about scalable deployment, LangChain paradigms, and advanced models for production.https://t.co/t3OBg7JUm9 pic.twitter.com/5UUixiSTZO— Rishabh (@Rixhabh__) April 16, 2024 Build Agents with GPT-4o From Scratch Learn how to build agents for multiple uses, including web search, finance, Hacker News, data analysis, and research with GPT-4o from scratch in just 11 minutes. https://twitter.com/ashpreetbedi/status/1790790000713310284 Build AI Agents Smarter Than ChatGPT The video delves into the concept of building AI agents that surpass current models like ChatGPT in functionality, focusing on their potential to complete extensive tasks quickly and autonomously. It introduces Agency Swarm, a new framework designed for real-world business applications. It’s unique for its customisation capabilities and ease of use when building smarter AI agents. It includes step-by-step instructions, and even those without programming skills can watch the course to learn how to adopt AI technology to stay ahead in a rapidly evolving field. The Right Way to Build AI Agents With crewAI This video delves into the best practices for building AI agents with crewAI, focusing on a fully local setup. It starts with an overview of crewAI’s capabilities and its approach to creating intelligent agents. You’ll learn how to set up a local environment, define agent roles, and manage interactions between agents for various tasks. The tutorial includes practical coding demonstrations, showcasing how to implement these agents for diverse tasks. By the end, you’ll be equipped to develop efficient, scalable AI agents using crewAI’s platform, all while keeping your setup entirely local. Create AI Agents From Scratch With Python This video will teach you how to create AI agents from scratch using Python. It covers the fundamentals of building intelligent agents capable of decision-making and learning. You’ll learn about the key components of AI agents, including perception, action, and decision-making processes. The tutorial then dives into coding examples, demonstrating how to implement various AI algorithms for searching, reinforcement learning, and decision trees. By the end, you’ll be equipped with the knowledge to build and deploy your own intelligent agents for a variety of applications. Building Agentic RAG with LlamaIndex Taught by Jerry Liu, CEO of LlamaIndex, this course ‘Building Agentic RAG with LlamaIndex’, is available on DeepLearning.AI. It will teach you to build a RAG agent with tool access for autonomous information retrieval, enabling it to answer complex questions using multi-step reasoning. It will cover key aspects such as tool use, multi-step reasoning with tool use, and routing, where your agent will use decision-making to route requests to multiple tools. Additionally, you’ll also learn to debug and iteratively improve your agent. I’m excited to kick off the first of our short courses focused on agents, starting with Building Agentic RAG with LlamaIndex, taught by @jerryjliu0, CEO of @llama_index.This covers an important shift in RAG (retrieval augmented generation), in which rather than having the… pic.twitter.com/KwRvDEhENS— Andrew Ng (@AndrewYNg) May 8, 2024 CampusX: Building AI Agents In this course, you’ll learn how to create advanced AI agents using tools like crewAI, AutoGen, LangGraph, and AutoGPT. This course dives into AI development, teaching you to build intelligent agents capable of performing complex tasks and enhancing automation processes. Key highlights include utilising these technologies for AI agent development, creating agents with advanced capabilities, and optimising their performance. You’ll explore how to implement AI agents to improve automation across various industries and discover techniques to optimise their performance, ensuring they operate efficiently and effectively. https://learnwith.campusx.in/courses/Building-AI-Agents-663d25be012c994c18513e70 Functions, Tools, and Agents with LangChain This short course is presented in collaboration with LangChain and is available on DeepLearning.AI.  It is taught by LangChain CEO Harrison Chase. This course explores the capabilities of LLMs to call functions essential for managing structured data and form a foundation for LLM-based agents. You’ll utilise LangChain’s expression language to develop applications that handle tagging, expression extraction, tool selection, and routing. Additionally, you’ll create a conversational agent showcasing all these features. https://twitter.com/DeepLearningAI/status/1789049506245317013 The Complete Guide to Building AI Agents for Beginners In this video, you’ll learn how to develop custom AI agent systems for companies of all sizes, from small firms to large corporations. By the end of this video, users will be able to build their own fully functional social media marketing agency that will generate ad copy, create ad images with DALL-E 3, and reliably post them on Facebook.
Google and OpenAI showed that AI agents will be ubiquitous, and the best part is that you can build them too!
A new era of autonomous AI agents has begun. The latest developments from Google I/O 2024 and OpenAI’s Spring Update confirm that all major companies are bullish on agents and that the future of AI will be ‘agentic’.
["Agents", "AI Agents", "Andrew Ng", "ChatGPT", "Courses", "Google", "langchain", "OpenAI"]
["CrewAI", "ChatGPT", "agentic AI", "Agents", "OpenAI", "AI", "GPT-4o", "LangGraph", "AI Agents", "LlamaIndex", "Andrew Ng", "LangChain", "Google", "AutoGen", "Courses", "langchain"]
["AI", "agentic AI", "GPT-4o", "ChatGPT", "OpenAI", "LangChain", "LangGraph", "AutoGen", "CrewAI", "LlamaIndex"]
Having done her undergrad in engineering and masters in journalism, Sukriti likes combining her technical know-how and storytelling to simplify seemingly complicated tech topics in a way everyone can understand