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Claude Code Mastery: AI-Augmented Software Engineering

  • IntermediateLevel

  • 168+Students Enrolled

  • 6 Hrs Duration

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About this Course

  • This comprehensive 7-week program covers everything needed to integrate Claude Code into professional workflows. From foundational mental models through advanced multi-agent system
  • Hands-on projects mirror real engineering challenges: test automation, CI/CD pipeline integration, debugging workflows, security governance, and production deployment patterns.
  • Learn how to build AI orchestration systems with proper safety controls, context management, and enterprise governance patterns that teams actually use in production.

Course Benefits

  • Ship measurably faster. Apply AI-assisted workflows to boilerplate, debugging, and test generation instead of handwriting them.
  • A portfolio that proves it. 10+ hands-on projects, 5 mini assignments, and a deployed capstone — concrete artifacts, not certificates of attendance.
  • Skills that are actively hired for. Subagents, MCP integration, and AI CI/CD governance are recent additions to job descriptions, and few candidates have them.
  • Enterprise credibility. You'll be able to answer the security, guardrail, and audit questions that block AI adoption at most companies.

Learning Outcomes

Prompt Engineering

Design reliable Claude systems with robust prompts and clear specs

Workflow Automation

Connect Claude to tools, CI/CD, GitHub, Docker, and APIs securely

Multi-Agent Systems

Build scalable agents with guardrails, governance, and recovery

Who Should Enroll

  • Backend and frontend engineers who want to cut time spent on boilerplate, debugging, and manual testing.
  • DevOps and platform engineers integrating AI into CI/CD pipelines, deployment, and failure recovery.
  • Tech leads and architects who need enterprise guardrails, security governance, and multi-agent patterns.
  • Engineering managers who must justify AI spend with ROI models and real productivity measurement.

Course Curriculum

A comprehensive journey through AI-augmented software engineering fundamentals, advanced prompt techniques, workflow automation, and enterprise-scale deployment patterns with hands-on projects.

tools

Get your Claude Code environment running and understand the mental models that make AI-augmented engineering effective. Learn how Claude reasons about code, design patterns, and architectural decisions.

  1. 1. Setup Instructions Live Demo

This video introduces the core mental models behind Claude Code and explains how it approaches software engineering tasks. You will learn how Claude interprets repository context, selects and reasons over files, manages context windows, and breaks complex problems into smaller steps. The module also highlights common failure modes such as hallucinations, incomplete context, and incorrect assumptions, helping you understand how to guide Claude toward reliable engineering outcomes.

  1. 1. Mental Models and How Claude Codes

This video provides a practical overview of Claude Code’s core capabilities for working with real-world codebases. You will explore how to navigate unfamiliar repositories, trace workflows across modules, understand architecture and business logic, analyze dependencies, and identify potential bug-prone areas. The module demonstrates how to use Claude Code systematically for code exploration and problem-solving rather than relying on trial-and-error prompts.

  1. 1. Exploring Claude Code Core Capabilities

This video explores advanced prompt engineering techniques for building reliable, reusable, and production-ready AI workflows. You will learn how to structure prompts using schemas, role-based instructions, validation loops, and guardrails to improve consistency and reduce unexpected outputs. The module focuses on moving beyond one-off prompts toward maintainable prompt systems that can be tested, refined, and reused across enterprise AI applications.

  1. 1. Prompt Engineering & Spec-Driven Development

Get this Course Now

With this course you’ll get

  • 6 Hours

    Duration

  • Ashwin Goyal & + 1 More

    Instructor

  • Intermediate

    Level

Certificate of completion

Earn a professional certificate upon course completion

  • Industry-Recognized Credential
  • Career Advancement Credential
  • Shareable Achievement
certificate

Frequently Asked Questions

Looking for answers to other questions?

This course is for intermediate-level engineers. You should have 2+ years of software development experience and be comfortable with command-line tools and Git. No prior AI experience is required.

No, Claude Code requires either a Claude subscription or Anthropic API access, billed separately by Anthropic. The course is free; the tool has its own cost. Check Anthropic's current pricing page before you start, and plan for API or subscription spend during the hands-on modules.

You need some form of access to Claude Code to do the practical work. A standard subscription tier is sufficient for most modules; the multi-agent and large-codebase modules consume more usage, so factor that in.

Modules are published in three Thursday drops: Modules 1–2 first, Modules 3–4 the following Thursday, and Modules 5–7 the Thursday after that. Once released, a module stays available permanently.

Claude Chat is a conversational interface. Claude Code is an agentic coding tool that runs in your terminal or IDE with access to your actual project. It can read files across the repository, plan multi-step changes, edit code, run tests, and commit. Module 1 covers this distinction in depth.

Yes! Upon completion, you'll receive an industry-recognized certification from Analytics Vidhya that you can add to your resume and LinkedIn profile.

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