Pluralsight – Agentic AI for Developers 2025-7

Agentic AI for Developers course. This course focuses on designing and implementing AI systems that can automate development and operations tasks. This course shows developers how to create agent-based AI systems that can reason, use tools, and solve real-world problems in the software development cycle. Participants will first learn the basic concepts of agent-based AI and how they differ from traditional machine learning and generative models. They will then learn how to use large language models, memory, and external APIs to build autonomous agents. Finally, they will learn how to prototype, evaluate, and deploy agent-based workflows. Upon completion of the course, participants will be able to build intelligent agents that help improve development productivity and business innovation.

What you will learn

• Fundamentals of Agent-Based AI: Participants will be introduced to the principles of agent-based AI and understand its differences from traditional ML models and generative models.
• Using tools: They learn how to use tools such as LLMs, memory, and external APIs to build autonomous agents.
• Building Intelligent Agents: Learn how to build agents that can solve development and operations tasks automatically.
• Prototyping and Deployment: Acquire the skills necessary to prototype, evaluate, and deploy agent-based workflows.

This course is suitable for people who:

• Software developers: People looking to learn how to build and integrate agent-based AI systems into their development processes.
• Ops Engineers: Those who want to leverage AI to automate and optimize operational tasks.
• Software Architects: People who seek to design advanced software systems with AI capabilities.
• Product managers: Those who want to understand the potential of agent-based AI to innovate their products.

Agentic AI for Developers Course Specifications

• Publisher:  Pluralsight
• Instructor: Bogdan Sucaciu
• Training level: Beginner
• Training duration: 1 hour and 26 minutes

Course topics

Course images

Sample course video

Download link

Download file – 256 MB

File(s) password: www.downloadly.ir

File size

256 MB