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.
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Skills you'll gain
- AI Orchestration
- Application Deployment
- Cloud Deployment
- Maintainability
- AI Product Strategy
- LangGraph
- AI Workflows
- Test Automation
- Agentic Workflows
- Generative AI Agents
- CI/CD
- Microsoft Copilot
- Model Deployment
- Continuous Deployment
- Program Development
- LangChain
- DevOps
- Continuous Integration
- AI Enablement
- Agentic systems
Details to know
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December 2025
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There are 3 modules in this course
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.
What's included
4 videos2 readings1 assignment
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.
What's included
3 videos1 reading1 assignment
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.
What's included
4 videos1 reading3 assignments
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