Autonomous AI agents are getting more popular daily; nevertheless, most professionals have no idea what they’re, how they work, or how one can construct one. If you ought to know more about these AI agents and construct one which can talk, reason, and act in your behalf, now’s the perfect time to study these autonomous AI systems. In this text, there are 9 popular courses to begin learning about AI agents. We divided this text into 3 sections: Beginners, Intermediate, and Advanced courses.
These 9 courses listed in this text will enable you start with AI agents and construct practical, scalable AI agents very quickly. There’s something here for everybody to enable you level up your skills, whether you are an entire beginner or have technical skills and knowledge.
Here are the 9 popular courses to begin learning about AI agents:
Beginner Courses
1. Deep Learning.AI: AI Python for Beginners
This four-part course is designed for many who need to learn Python for practical AI applications, no matter their programming experience. It takes a hands-on approach, guiding you thru the means of constructing AI-powered tools from day one. With the assistance of an AI chatbot, you will get immediate feedback and support as you learn.
- Practical Projects: Build custom recipe generators, smart to-do lists, and vacation planners.
- Foundational Skills: Learn essential programming concepts like variables, functions, loops, and data structures.
- Data Analysis: Work along with your own data, extracting insights from text files and structured data.
- API Integration: Learn to access real-time information through APIs and use popular third-party packages for data evaluation.
Enroll now!
2. Vanderbilt University: Agentic AI and AI Agents for Leaders Specialization
This specialization course is for leaders who want to grasp and implement Agentic AI of their organizations. It focuses on strategic decision-making and driving innovation through AI agents. You’ll gain the talents to design, evaluate, and deploy AI tools which have a real-world impact.
- Leadership Focus: Understand how one can drive innovation and strategic decision-making with AI.
- Custom GPTs: Design basic AI agents using custom GPTs to tackle authentic challenges.
- Human-in-the-Loop: Build agents that mix human oversight with AI efficiency.
- Real-World Impact: Learn to harness automation for practical applications in your organization.
Enroll now!
3. LangChain: Basics of LangGraph
This course will introduce you to LangGraph, a framework for constructing agentic and multi-agent applications. It’s separate from the important LangChain package and is designed to offer developers more precision and control over their agentic workflows.
- LangGraph Framework: Learn the fundamentals of this powerful framework for constructing agentic applications.
- Multi-Agent Applications: Understand how one can create and manage applications with multiple agents.
- Precision and Control: Add the next degree of control to your agentic workflows.
- Practical Introduction: Get a simple introduction to a key tool within the AI agent ecosystem.
Enroll now!
Intermediate Courses
4. Langchain and Tavily: AI Agents in LangGraph
In this course, you will learn to construct a highly controllable AI agent from scratch using Python and a big language model (LLM). You’ll then rebuild it using LangGraph, gaining a deep understanding of its components and how one can create flow-based applications.
- Build from Scratch: Create an agent from the bottom up to grasp the division of tasks between the LLM and the code.
- Agentic Search: Learn about agentic search that returns multiple answers in an agent-friendly format.
- Persistence: Implement state management in your agents, allowing for conversation switching and reloading previous states.
- Human-in-the-Loop: Incorporate human oversight into your agent systems for higher control.
Enroll now!
5. Anthropic: MCP: Build Rich-Context AI Apps with Anthropic
DeepLearning.AI, in partnership with Anthropic, created this course that introduces you to Model Context Protocol (MCP), an open protocol that standardizes how LLMs access external tools and data. You’ll learn how one can construct rich-context AI applications with minimal integration work.
- Model Context Protocol (MCP): Understand how MCP simplifies connecting AI applications to external data sources.
- Client-Server Architecture: Learn the core components of MCP’s client-server architecture.
- Build and Deploy: Create a chatbot, make it MCP-compatible, and deploy an MCP server.
- Ecosystem Integration: Connect your chatbot to a growing ecosystem of MCP servers.
Enroll now!
6. Llamaindex: Building Agentic RAG with Llamaindex
Taught by the co-founder and CEO of LlamaIndex, this course teaches you how one can construct research agents expert in tool use, reasoning, and decision-making along with your data. You’ll learn to construct an autonomous research agent that may intelligently understand and analyze information.
- Agentic RAG: Build a router that may pick the fitting query engine for a given task.
- Tool Calling: Add tool calling to your agent, allowing the LLM to infer which function to execute.
- Multi-Document Agent: Extend your research agent to handle multiple documents without delay.
- Debugging: Learn how one can debug your agents to guide their actions effectively.
Enroll now!
Advanced Courses
7. Arize: Evaluating AI Agents
Another course by DeepLearning.AI, but this time made in partnership with Arize AI, which may teach you how one can systematically assess and improve your AI agent’s performance. You’ll learn how one can structure your evaluations to discover areas for improvement and refine your agent’s performance.
- Systematic Evaluation: Learn to evaluate the performance of every component of your agent.
- Observability: Add observability to your agent to visualise and debug its steps.
- Evaluator Selection: Choose the fitting evaluators, testing examples, and metrics for every component.
- Structured Experiments: Run experiments to enhance your agent’s performance by exploring changes to the prompt, model, or logic.
Enroll now!
8. AGI Inc: Building AI Browser Agents
Taught by the co-founders of AGI Inc, this course shows you how one can construct AI agents that may interact with web sites. You’ll learn the way these agents use visual and structural data to reason and take actions, and how one can make them more robust and reliable.
- Web Automation: Build an agent that may scrape web sites and return structured data.
- Autonomous Agents: Create an agent that may execute multiple tasks, like filling out forms and signing up for newsletters.
- AgentQ Framework: Explore a framework that permits agents to self-correct through a mixture of advanced algorithms.
- Future of Web Agents: Understand the important thing aspects shaping the evolution of AI agents, including hardware, algorithms, and data availability.
Enroll now!
9. Guardrails AI: Self and reliable AI via Guardrails
This course, taught by the co-founder and CEO of GuardrailsAI, shows you how one can construct protected and reliable AI applications. You’ll learn to create guardrails that mitigate common failure modes of LLMs, resembling hallucinations and revealing sensitive information.
- Mitigate Failure Modes: Learn to stop common issues like hallucinations and going off-topic.
- Input and Output Guards: Create guardrails to validate and confirm your application’s responses.
- PII Protection: Add a guardrail to detect and redact personally identifiable information.
- Production-Ready Applications: Build robust applications ready for real-world use in regulated industries.
Enroll now!
In Conclusion:
Autonomous AI agents are getting more popular daily, as we speak, and if you ought to learn more about AI agents and construct one yourself, the courses mentioned above are amazing resources and a fantastic start for each technical and non-technical professionals. If you invest your time properly in learning these industry-standard resources, you will be well-equipped with the knowledge and skills to construct an intelligent, autonomous AI agent. Don’t let this chance pass you by; start learning and constructing today.
