7 free agentic AI training courses for business leaders

Agentic artificial intelligence (AI) training courses are on the rise as businesses continue to invest in and adopt this emerging branch of AI technology.

Agentic AI refers to AI systems designed not just to respond to commands but to initiate actions, make plans and adapt strategies based on their understanding of a given task or environment.

Unlike traditional software, agentic AI can break down complex objectives, seek out relevant information and coordinate steps toward a desired outcome, often with minimal human intervention.

Agentic AI marks a significant shift in how businesses can leverage technology. Unlike traditional AI tools that require step-by-step instructions or operate within narrow constraints, agentic AI systems are capable of autonomous decision-making, strategic goal pursuit and proactive execution.

The rise of agentic AI represents both an opportunity and a responsibility. The opportunity lies in unlocking new levels of efficiency, creativity and scalability. The responsibility is to ensure these agents are aligned with business goals, values and compliance standards – especially as they operate with increasing autonomy.

This requires business leaders to deepen their knowledge and understanding of agentic AI systems. Here are seven free agentic AI training courses that will help you stay ahead of the game and lead your business into an AI-powered future.

1. Understanding agentic AI – agentacademy.ai

Delivered by agentacademy.ai (by Digital Workplace), this course is positioned as a starting point for understanding how agentic AI works and how it can revolutionize process automation in enterprises. The self-faced course lasts between one and two hours and includes a shareable certificate upon completion.

It claims to teach the core differences between agentic AI and AI assistants, how users and agents interact in business scenarios, the components that power agentic AI and how it solves complex challenges across industries.

2. Getting started with agentic AI – Great Learning

This course is for anyone who wants to understand the basics of autonomous decision-making systems and real-world applications. Learners develop the skills to create autonomous agents and get hands-on with cutting-edge tools and frameworks.

The course covers everything from programming and debugging to deploying AI-driven solutions, providing practical training to create intelligent systems. Once they complete the course, participants receive a certificate to display their skills in agentic AI.

3. Agentic AI and AI agents: A primer for leaders – coursera

Agentic AI and AI agents: A primer for leaders outlines the fundamentals of agentic AI and AI agents. It aims to provide a clear understanding of how AI agents work, enabling participants to make informed decisions.

The course helps business leaders evaluate AI solutions, recognize opportunities for impact and avoid outdated or overhyped approaches. It also demonstrates how to develop hands-on experience creating simple yet powerful AI agents using custom GPTs.

4. Leading through AI agent disruption – LinkedIn Learning

In this short course, Andreas Welsch – an internationally-recognized advisor on scaling AI adoption in organizations – shows business leaders how to prepare for the challenges and opportunities of agentic AI that lead to AI transformation in their organizations. 

Learners are taught how to forecast emerging trends and future developments in agentic AI and their potential impact on business strategies. Upon completion, participants will be able to proactively adapt their leadership strategies to stay ahead of the competition and leverage new opportunities.

5. AI agentic design patterns with AutoGen – DeepLearning.AI

AI Agentic Design Patterns with AutoGen teaches how to build and customize multi-agent systems, enabling agents to take on different roles and collaborate to accomplish complex tasks using AutoGen. AutoGen is a framework that enables development of large language model (LLM) applications using multi-agents.

Participants learn how to build a two-agent chat that shows a conversation between two standup comedians, a sequence of chats between agents to provide a fun customer onboarding experience for a product, a high-quality blog post by using the agent reflection framework and a coding agent capable of generating the necessary code to plot stock gains for financial analysis.

By the end of the course, learners have hands-on experience with AutoGen’s core components and a solid understanding of agentic design patterns. They’ll also be ready to effectively implement multi-agent systems in their workflows.

6. AI agents and agentic AI with python and generative AI – coursera

This course covers building a complete AI agent framework in Python, creating each component to gain deep understanding of how agentic AI works. It also explores designing tool discovery systems and function calling mechanisms that allow agents to interact with external systems and perform meaningful actions as well as creating practical, production-ready agents for tasks like intelligent file exploration, documentation generation and coding.

7. Building agentic AI free course – Krish Naik Academy

Delivered by educator Krish Naik, this course explains how to build agentic AI applications with the help of frameworks such as Langflow, Phidata and Langgraph. It explores how agentic AI can learn from experience and feedback, adapt to changing circumstances, understand a user’s goal and the context of a problem, make decisions and solve complex problems.

Data governance in the age of generative AI & agentic AI: Industry report

Data Governance in the Age of Generative & Agentic AI Industry Report

As AI capabilities accelerate, strong data governance is no longer optional—it’s essential. This report explores how organizations are redefining governance strategies to keep pace with generative and agentic AI.

Inside, you'll discover:

• How data governance underpins AI success
• Key frameworks, KPIs, and metrics that matter
• Top challenges and success factors from real-world AI initiatives
• What the rise of agentic AI means for future governance models

Featuring insights from experts at EdgeVerve, Marks & Spencer, Navy Federal Credit Union, and more.

Download Now