Optimize Software Development with Agentic AI is an intermediate-level course designed for software developers, DevOps engineers, and technical leaders who want to harness the power of autonomous AI agents in their development workflows. As Gartner predicts that 33% of enterprise software applications will include agentic AI by 2028, this course provides the strategic foundation and practical skills needed to implement AI agents successfully. 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. Through real-world case studies from Microsoft, McKinsey, and leading tech companies, hands-on exercises, and interactive coaching, you'll build the expertise to transform your development processes with intelligent automation. Whether you're optimizing testing workflows, enhancing CI/CD pipelines, or building resilient DevOps operations, this course equips you with the knowledge and tools to lead the next generation of AI-enhanced software development.
Agentic AI Content for Practitioners: Software
Agentic AI Content for Practitioners: Software
位教师：Hurix Digital
访问权限由 New York State Department of Labor 提供
您将获得的技能
- Test Automation
- Application Deployment
- DevOps
- LangChain
- Maintainability
- Microsoft Copilot
- LangGraph
- Program Development
- AI Product Strategy
- AI Workflows
- Agentic systems
- Cloud Deployment
- CI/CD
- AI Enablement
- Continuous Deployment
- Generative AI Agents
- Agentic Workflows
- AI Orchestration
- Continuous Integration
- Model Deployment
- 技能部分已折叠。显示 13 项技能，共 20 项。
要了解的详细信息
了解顶级公司的员工如何掌握热门技能
该课程共有3个模块
This foundational lesson introduces learners to agentic AI in software development, focusing on frameworks like LangChain and LangGraph for test automation. Learners will explore how autonomous AI agents can revolutionize testing processes, examine real-world implementations, and understand the strategic considerations for successful adoption in development teams.
涵盖的内容
4个视频2篇阅读材料1个作业
This lesson focuses on the strategic integration of AI agents with GitHub Copilot in continuous integration and deployment pipelines. Learners will explore how to leverage Microsoft's latest agentic AI capabilities, understand the technical considerations for seamless integration, and design workflows that enhance code quality while maintaining deployment velocity.
涵盖的内容
3个视频1篇阅读材料1个作业
This final lesson focuses on the strategic deployment and long-term management of AI agents in DevOps environments. Learners will explore deployment strategies, monitoring approaches, and team adoption methodologies. The lesson emphasizes building resilient, scalable AI-enhanced DevOps practices while avoiding common pitfalls that lead to project failure.
涵盖的内容
4个视频1篇阅读材料3个作业
位教师
提供方
人们为什么选择 Coursera 来帮助自己实现职业发展
Felipe M.
Jennifer J.
Larry W.
Chaitanya A.
¹ 本课程的部分作业采用 AI 评分。对于这些作业，将根据 Coursera 隐私声明使用您的数据。