13 Free AI Courses on AI Agents in 2025

0
6
13 Free AI Courses on AI Agents in 2025




In the ever-evolving landscape of artificial intelligence, the year 2025 has brought forth a treasure trove of educational resources for aspiring AI enthusiasts and professionals. AI agents, with their ability to perform complex tasks autonomously, are at the forefront of this revolution. Here, we highlight 13 free courses that delve into the intricacies of AI agents, ensuring you stay ahead in this dynamic field.

  • Multi-AI Agent Systems with Crewai
    This course explores how multiple AI agents can collaborate to solve complex problems. It covers frameworks, coordination strategies, and real-world applications.
  • Foundations of Prompt Engineering
    Offered by AWS, this course delves into crafting effective prompts for AI agents, ensuring optimal performance and accuracy.
  • Introduction to LangGraph
    Learn the basics of LangGraph, a powerful tool for building graph-based AI systems, including agent-based architectures.
  • AI Agent Development on YouTube
    This comprehensive YouTube tutorial provides hands-on guidance for building AI agents from scratch, suitable for beginners and intermediates.
  • LLM Agents Learning Platform
    A unique course focusing on leveraging large language models (LLMs) to create advanced AI agents for diverse applications.
  • AI Agents in LangGraph
    A deep dive into integrating AI agents within LangGraph, emphasizing scalability and robustness in AI solutions.
  • NVIDIA’s AI Agent Course
    Explore NVIDIA’s cutting-edge techniques for designing high-performance AI agents tailored for specialized applications.
  • AI Agentic Design Patterns with AutoGen
    This course introduces design patterns to streamline the development of autonomous AI agents using AutoGen.
  • AI Agents Workflow Insights on YouTube
    Another fantastic YouTube resource, it discusses effective workflows for managing and scaling AI agents.
  • LLMs as Operating Systems: Agent Memory
    Focuses on the concept of memory in AI agents, enabling them to learn and adapt over time, akin to operating systems.
  • Building Agentic RAG with LlamaIndex
    A practical guide to using LlamaIndex for building retrieval-augmented generation (RAG) systems with AI agents.
  • AI Agents for Beginners on YouTube
    Tailored for newcomers, this video breaks down the foundational concepts of AI agents in an accessible manner.
  • Serverless Agentic Workflows with Amazon Bedrock
    Learn to deploy serverless workflows for AI agents using Amazon Bedrock, emphasizing cost-efficiency and scalability.

Whether you’re a novice or a seasoned professional, these free courses offer invaluable insights into the world of AI agents, equipping you with the knowledge to harness their full potential in 2025 and beyond.


Don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Group. Also, don’t forget to join our 60k+ ML SubReddit.

🚨 FREE UPCOMING AI WEBINAR (JAN 15, 2025): Boost LLM Accuracy with Synthetic Data and Evaluation IntelligenceJoin this webinar to gain actionable insights into boosting LLM model performance and accuracy while safeguarding data privacy.


Shobha is a data analyst with a proven track record of developing innovative machine-learning solutions that drive business value.

🧵🧵 [Download] Evaluation of Large Language Model Vulnerabilities Report (Promoted)






Previous articleGraph Structure Learning Framework (GSLI): Advancing Spatial-Temporal Data Imputation through Multi-Scale Graph Learning



Credit: Source link

LEAVE A REPLY

Please enter your comment!
Please enter your name here