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Agentic AI Courses

Agentic AI courses can help you learn how autonomous systems plan tasks, make decisions, and interact with tools or environments. You can build skills in agent workflows, reasoning patterns, orchestration methods, and evaluating agent behavior. Many courses introduce tools such as Python libraries, APIs, and frameworks that support creating agents capable of completing multi-step tasks.


More to explore:

Popular Agentic AI Courses and Certifications


  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM RAG and Agentic AI

    Skills you'll gain: Prompt Engineering, AI Orchestration, AI Workflows, LangChain, Retrieval-Augmented Generation, Agentic Workflows, Tool Calling, LangGraph, LLM Application, Agentic systems, Multimodal Prompts, Generative AI, AI Security, Generative AI Agents, Vector Databases, Generative Model Architectures, OpenAI API, Responsible AI, Embeddings, Software Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    780 reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Agentic AI and AI Agents for Leaders

    Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI Agents, Agentic Workflows, Prompt Patterns, Generative AI, AI Orchestration, Workflow Management, AI Enablement, Agentic systems, LLM Application, Productivity, OpenAI, AI Personalization, Business Process Automation, AI Product Strategy, Large Language Modeling, Automation, Artificial Intelligence, Expense Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    9.3K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    I

    IBM

    Build AI Agents using MCP

    Skills you'll gain: AI Security, Responsible AI, Authorization (Computing), JSON, VPN Clients

    4.8
    Rating, 4.8 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    Agentic AI Engineering

    Skills you'll gain: LangChain, LangGraph, Model Context Protocol, AI Workflows, LLM Application, AI Orchestration, Agentic Workflows, Generative AI Agents, Tool Calling, Model Deployment, Data Transformation, Retrieval-Augmented Generation, Agentic systems, Generative AI, Middleware, Gemini, Scalability, Artificial Intelligence, Prompt Engineering, Responsible AI

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Master Agentic AI: Core Principles & Real-World PC

    Skills you'll gain: Threat Modeling, Feature Engineering, Anomaly Detection, Data Visualization, MLOps (Machine Learning Operations), Agentic Workflows, AI Security, A/B Testing, Open Web Application Security Project (OWASP), Software Engineering, Data Ethics, Responsible AI, Technical Communication, Secure Coding, Agentic systems, AI Orchestration, DevSecOps, Continuous Monitoring, CI/CD, Reinforcement Learning

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Building AI Agents and Agentic Workflows

    Skills you'll gain: AI Orchestration, AI Workflows, LangChain, Agentic Workflows, Tool Calling, LangGraph, LLM Application, Agentic systems, Generative AI Agents, Responsible AI, Retrieval-Augmented Generation, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Application Design, Prompt Engineering, Large Language Modeling, Context Management, Software Design Patterns, Software Development, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    218 reviews

    Intermediate · Specialization · 1 - 3 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Prompt Engineering Basics

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, AI Workflows, Context Management, Decision Making

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.8K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Agentic AI with LangChain and LangGraph

    Skills you'll gain: LangGraph, Agentic Workflows, AI Orchestration, AI Workflows, Generative AI Agents, Agentic systems, LangChain, LLM Application, Responsible AI, Retrieval-Augmented Generation, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Software Development, Python Programming, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    78 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Agentic AI and AI Agents: A Primer for Leaders

    Skills you'll gain: Generative AI Agents, Agentic Workflows, AI Orchestration, Workflow Management, AI Enablement, Agentic systems, Artificial Intelligence, Business Process Automation, Generative AI, AI Product Strategy, Automation, AI Personalization, Prompt Engineering, Tool Calling, Emerging Technologies, Responsible AI

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.2K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    AI Agent Developer

    Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI Agents, AI Orchestration, Prompt Patterns, Generative AI, LangChain, OpenAI API, Ideation, Verification And Validation, Data Presentation, AI Workflows, LLM Application, Productivity, OpenAI, AI Personalization, Document Management, Responsible AI, AI Enablement, Software Development

    4.8
    Rating, 4.8 out of 5 stars
    ·
    9.8K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    Status: AI skills
    AI skills
    D

    DeepLearning.AI

    Design, Develop, and Deploy Multi-Agent Systems with CrewAI

    Skills you'll gain: AI Orchestration, Agentic Workflows, Generative AI Agents, Agentic systems, LLM Application, Automation, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, System Monitoring, Workflow Management, Tool Calling, Continuous Monitoring, Scalability, Prompt Engineering, Code Review, User Feedback

    4.5
    Rating, 4.5 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    AI Agents and Agentic AI in Python: Powered by Generative AI

    Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI Agents, AI Orchestration, Prompt Patterns, LangChain, OpenAI API, AI Workflows, LLM Application, Productivity, OpenAI, AI Enablement, Agentic systems, Generative AI, Artificial Intelligence, Large Language Modeling, AI Security, Tool Calling, Creativity, Application Development

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8.1K reviews

    Beginner · Specialization · 3 - 6 Months

1234…324

In summary, here are 10 of our most popular agentic ai courses

  • IBM RAG and Agentic AI: IBM
  • Agentic AI and AI Agents for Leaders: Vanderbilt University
  • Build AI Agents using MCP: IBM
  • Agentic AI Engineering: Edureka
  • Master Agentic AI: Core Principles & Real-World PC: Coursera
  • Building AI Agents and Agentic Workflows: IBM
  • Generative AI: Prompt Engineering Basics: IBM
  • Agentic AI with LangChain and LangGraph: IBM
  • Agentic AI and AI Agents: A Primer for Leaders: Vanderbilt University
  • AI Agent Developer: Vanderbilt University

Frequently Asked Questions about Agentic Ai

Agentic AI refers to artificial intelligence systems that can act autonomously and make decisions based on their programming and learned experiences. This technology is important because it enhances efficiency, reduces human error, and can operate in complex environments where human intervention may be limited or impractical. As businesses increasingly adopt AI solutions, understanding agentic AI becomes crucial for professionals aiming to stay relevant in a rapidly evolving job market.‎

Careers in agentic AI are diverse and growing. You could pursue roles such as AI Engineer, Data Scientist, Machine Learning Engineer, or AI Product Manager. These positions often involve designing, implementing, and managing AI systems that leverage agentic capabilities. Additionally, roles in strategic leadership, particularly those focusing on AI integration within organizations, are becoming more prevalent as companies seek to harness the power of autonomous systems.‎

To excel in agentic AI, you should focus on developing a strong foundation in programming languages such as Python, as well as understanding machine learning algorithms and data analysis techniques. Familiarity with AI frameworks and tools, such as TensorFlow or PyTorch, is also beneficial. Additionally, skills in problem-solving, critical thinking, and project management will enhance your ability to work effectively in this field.‎

Some of the best online courses for agentic AI include the IBM RAG and Agentic AI Professional Certificate and the Agentic AI and AI Agents for Leaders Specialization. These programs provide comprehensive insights into the principles and applications of agentic AI, equipping you with the knowledge needed to thrive in this domain.‎

Yes. You can start learning agentic AI on Coursera for free in two ways:

  1. Preview the first module of many agentic AI courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in agentic AI, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn agentic AI, start by exploring introductory courses that cover the basics of AI and machine learning. Engage with hands-on projects to apply your knowledge practically. Utilize resources like the Agentic AI and AI Agents: A Primer for Leaders course to gain insights into the strategic implications of agentic AI in business contexts. Consistent practice and staying updated with industry trends will further enhance your learning journey.‎

Topics typically covered in agentic AI courses include the fundamentals of AI and machine learning, the architecture of AI agents, decision-making processes, and the ethical considerations surrounding autonomous systems. Courses may also explore practical applications, such as using agentic AI for automation in various sectors, including HR and customer service.‎

For training and upskilling employees in agentic AI, the Building AI Agents and Agentic Workflows Specialization is an excellent choice. This program focuses on practical skills and real-world applications, making it suitable for organizations looking to integrate AI solutions effectively into their operations.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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