This course provides developers and engineers with the implementation strategies and best practices for building production-ready agentic systems using Claude Code. Participants will explore advanced context management, secure integration and real-world patterns for automating the software development lifecycle. The course focuses on moving beyond basic chat-based interactions to create efficient, reliable, and autonomous workflows. While introducing an agentic framework for organizational alignment, the course emphasizes hands-on mastery of Claude Code’s native features, such as custom Skills and Checkpoints.
Prerequisites:
To get the most out of this session, participants should have:
- Strong experience and programming proficiency (e.g., Python, JavaScript)
- Familiarity with command-line tools and Git workflows
- Prior foundational generative AI experience using Claude (via API or Claude.ai)Â
- Basic understanding of prompt engineering
NOTE: Pluralsight requires each participant to have access to the Generative AI tool(s) used in this course. Where Customer does not provide that access, Pluralsight will provide it and AI lab fees will apply.
Purpose
| Build production-ready agentic systems using Claude Code |
Audience
| Core Technology Teams seeking to integrate AI-powered coding assistants safely into global workflows |
Role
| Software Developers | AI/ML Engineers | Technical Managers |
Skill level
| Intermediate |
Style
| Lecture | Hands-on Activities | Labs |
Duration
| 4 days |
Related technologies
| AI/ML | Generative AI | Git |
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Learning Objectives
- Set up Claude Code for daily task delegation and autonomous refactoring
- Apply context-management strategies to handle large-scale applications without data leakage
- Use MCP to securely connect agents to internal data and external APIs
- Design reliable agentic patterns to handle complex work-like unit testing and legacy migrations
- Apply production patterns for auditing AI-generated code and monitoring for security vulnerabilities
