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AI Agent Developer | Coursera
You’ll learn to design agent architectures, implement tool use and memory, build custom GPTs, and apply best practices for responsible, trustworthy AI. By the end, you’ll be able to create and deploy intelligent software agents for real-world tasks across a range of industries.
Agentic AI Development with OpenCode - Coursera
By course end, participants will have mastered AI-driven development processes, enabling them to deploy reliable, repeatable, and efficient agent workflows across projects with confidence. This course is ideal for software engineers, developers, and AI practitioners seeking structured AI integration.
Best Agentic AI Courses & Certificates [2026] | Coursera
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.
Building AI Agents and Agentic Workflows | Coursera
You’ll start with LangGraph, creating agents that support memory, iteration, conditional logic, and retrieval-augmented generation (Agentic RAG). Next, you’ll explore self-improving agents that use reflection and reasoning, and design multi-agent systems that collaborate through orchestration.
AI Agents: From Foundations to Applications | Coursera
AI Agents : From Foundations to Applications. This three-course specialization takes AI practitioners, developers, and researchers through the full lifecycle of AI agent development — from understanding intelligent agent theory to implementing and deploying autonomous, learning-driven systems.
Master AI Coding Agents for Advanced Software Development
This Specialization teaches you how to use three leading AI coding agents — Google Antigravity, Claude Code, and OpenClaw — to speed up development, automate tasks, and build real software projects.
Agentic AI Content for Practitioners: Software - Coursera
You'll master frameworks like LangChain and LangGraph for test automation, learn to integrate AI agents with GitHub Copilot in CI/CD pipelines, and develop comprehensive deployment strategies that avoid the common pitfalls causing 40% of agentic AI projects to fail.
Agentic AI Engineering | Coursera
It is designed for developers and AI engineers who want to move beyond single-prompt interactions and build dependable, multi-step AI workflows. You’ll start with the foundations of Agentic AI, learning how agents reason, use tools, and manage context.
Build Powerful AI Agents with OpenAI Tools - Coursera
Each course builds toward real-world agent applications, from creating custom tools and multi-agent workflows to deploying production-grade agents with modern UI frameworks.
Master Agentic AI: Core Principles & Real-World PC
Learn agent design, MLOps, and security governance with hands-on projects for ML/AI practitioners. Design modular agent architectures and translate goals into reward signals for aligned behavior. Build CI/CD and retraining pipelines that detect drift and promote vetted models to production.
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