AI & Dev

The Agentic Engineer: Mastering Claude Code for the SDLC

Intermediate
Claude Code Context Management MCP Integrations Subagents & Skills CI/CD Automation
The Agentic Engineer: Mastering Claude Code for the SDLC Four days, hands-on labs

Overview

This course provides developers and engineers with the implementation strategies and best practices for building production-ready agentic systems using Claude Code. Participants explore advanced context management, secure integration, and real-world patterns for automating the software development lifecycle, moving beyond basic chat-based interactions to efficient, reliable, and autonomous workflows.

Who Is This For

  • Core technology teams integrating AI-powered coding assistants safely into global workflows
  • Software developers, AI/ML engineers, and technical managers

Prerequisites

  • Strong programming proficiency, such as Python or JavaScript
  • Familiarity with command-line tools and Git workflows
  • Prior foundational generative AI experience using Claude through the API or Claude.ai
  • Basic understanding of prompt engineering

Learning Path

  • 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 such as unit testing and legacy migrations
  • Apply production patterns for auditing AI-generated code and monitoring for security vulnerabilities

By the end: You can run Claude Code as a governed, production-ready part of your software development lifecycle.

What You'll Receive

  • Hands-on lab exercises and a sample code repository to keep
  • Course slides and reference guides for every module
  • Session recordings for review after class
  • Certificate of completion
  • A post-course support window for follow-up questions

Delivery Options

Online Classes

Live, interactive sessions from anywhere. Small batches for personalized attention.

1-to-1 Coaching

Personalized mentorship with flexible scheduling tailored to your goals.

Enterprise Training

Customized programs for teams, delivered online or on-site, scoped to your stack.

Learn More

Your Instructor

Taught by a practicing engineer with hands-on experience building and scaling test automation, CI/CD, and AI-assisted tooling across enterprise teams. Every session is delivered by the instructor - no recordings-only courses, no junior stand-ins - with real-world examples drawn from production projects.

Frequently Asked Questions

This course is pitched at Intermediate level - you should have strong programming proficiency, Git and command-line familiarity, and prior experience using Claude. We can advise on readiness during a free consultation.

Both. We deliver live online classes, 1-to-1 coaching, and on-site or remote enterprise sessions for teams.

Yes. For enterprise engagements we tailor examples, exercises, and the detailed outline to your application, tools, and timeline.

Yes - a certificate of completion is provided at the end of the course.

Strong programming proficiency, such as Python or JavaScript; Familiarity with command-line tools and Git workflows; Prior foundational generative AI experience using Claude through the API or Claude.ai; Basic understanding of prompt engineering.

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