Claude Code Course Online

8 Lesson

35 Hours

Add to Wishlist

Enroll in igmGuru's Claude Code Course and learn to build, automate, and ship software faster using Anthropic's agentic coding assistant. From CLAUDE.md setup to MCP integrations and GitHub workflows, this hands-on program turns AI-assisted development into a practical, job-ready skill - no prior AI experience required.

Enroll Now

Claude Code Course Overview

Claude Code is reshaping how developers write, review, and deploy software, with adoption climbing fast among engineering teams worldwide. igmGuru's Claude Code training for beginners and professionals walks you through real project setups, agentic workflows, subagents, and tool integrations. By the end, you'll be confident running Claude Code inside live development pipelines, not just demos.

Claude Code Students Also Learn

Agentic AI

GenAI

LangChain Course

Prompt Engineering

Prerequisites

Basic understanding of software development concepts
Familiarity with at least one programming language (e.g., Python, JavaScript, Java, Go, etc.)
Working knowledge of Git and version control workflows
Experience using command-line interfaces (CLI)
Understanding of basic software development lifecycle (SDLC)
Ability to read and understand existing codebases

What Will You Learn

Understand what Claude Code is and how it differs from traditional AI coding assistants
Install, configure, and operate Claude Code using the CLI
Navigate, analyze, and modify large codebases efficiently using AI assistance
Apply structured prompting techniques for reliable and deterministic code generation
Break down complex engineering tasks into multi-step, agent-driven workflows
Generate production-quality code, refactor legacy systems, and improve code readability
Automate unit, integration, and regression test creation
Debug failing builds, tests, and runtime errors using Claude Code
Use tools and shell commands safely through Claude Code
Integrate external tools and services using Model Context Protocol (MCP)
Automate Git workflows including commits, pull requests, and code reviews
Detect bugs, performance issues, and potential security flaws early
Perform large-scale refactors across repositories and monorepos
Optimize developer productivity using repeatable AI-powered workflows

Course Objectives

Understand the architecture behind Claude Code and how AI coding agents interact with codebases
Set up and configure CLAUDE.md files for project, user, and team-level instructions
Learn the tool-use system that lets Claude Code handle multi-step programming tasks
Build and manage custom slash commands, skills, and subagents
Integrate Claude Code with MCP (Model Context Protocol) servers for extended functionality
Connect Claude Code to GitHub for automated code review and PR workflows
Apply context management strategies for long, complex coding sessions
Use hooks to automate logging, safety checks, and repetitive development tasks
Practice real-world agentic workflows including plan, execute, and review cycles

Who is This Course For?

This course is designed for anyone looking to integrate AI into their software development process.

Software developers and engineers
DevOps and automation professionals
Product managers exploring AI-assisted workflows
Computer science students and fresh graduates
Freelancers and tech consultants
Engineering team leads adopting AI tools
Anyone preparing for a Claude Code certification

Tools and Technologies Covered

Claude Code CLI
CLAUDE.md configuration files
Model Context Protocol (MCP) servers
GitHub and Git
Slash commands and custom skills
Subagents and hooks
Claude Code SDK
VS Code / JetBrains integrations
CI/CD pipelines

Career Outcomes

Completing this training opens doors across AI-driven engineering roles.

AI-Assisted Software Developer
Claude Code / Agentic AI Developer
DevOps Engineer (AI Tooling)
AI Workflow Automation Specialist
Technical Consultant - Generative AI Tools
Engineering Team Lead (AI-Augmented Development)

Why Choose igmGuru for This Training?

igmGuru combines industry-relevant curriculum with hands-on mentorship to make your learning practical and outcome-focused.

Live, instructor-led sessions with real project work
Curriculum updated to match current Claude Code releases and trends
Hands-on labs covering MCP, subagents, and GitHub integration
Flexible weekday and weekend batches
Lifetime access to recorded sessions and course material
Dedicated doubt-clearing and post-training support
Industry-recognized course completion certificate
Resume and interview preparation assistance

Claude Code Trainer

Rithika Mohan

Ex-Netflix

Rithika is a software engineer and AI workflow consultant with over 15 years of experience in full-stack development, DevOps automation, and applied Generative AI. Over the last few years, she has worked extensively with agentic coding tools, helping engineering teams at startups and enterprises integrate Claude Code into their daily development pipelines, from CLAUDE.md configuration to MCP server deployment and CI/CD automation.

Expertise:

Claude Code architecture & tool-use systems
Model Context Protocol (MCP) server integration
CLAUDE.md configuration & subagent design
GitHub workflow automation & CI/CD pipelines
Python, JavaScript, and AI-assisted software development

Highlights:

15+ years of industry experience in software engineering and AI tooling
Hands-on experience deploying Claude Code in production environments
Trained professionals from companies across IT, fintech, and product engineering
Known for breaking down complex agentic AI concepts into practical, job-ready skills

Key Features

1 On 1 Training Option Available
24 X 7 Lifetime Support & Access
Small Batches Upto 10 Participants
Experienced & Professional Trainers
100% Job Assistance
Flexible Schedule

Claude Code Course Curriculum

Lesson 1 - Introduction & Fundamentals

1. Course overview, learning outcomes, and real-world use cases

2. What Claude Code is and how it differs from traditional IDE copilots

3. Installation, setup, and CLI/IDE integration

4. Understanding Claude Code’s agent-based architecture

5. Project structure awareness and safe execution model

Lesson 2 - Tools & Methodologies

1. Claude Code CLI commands and configuration

2. Model Context Protocol (MCP) fundamentals

3. Prompt-driven development methodology

4. White-box code understanding with AI assistance

5. File navigation, repo scanning, and dependency mapping

6. Best practices for AI-assisted software engineering

Lesson 3 - Context Management & Code Understanding

1. Managing long-running context across sessions

2. Source-code exploration and architectural analysis

3. Identifying logic flows, edge cases, and design gaps

4. Refactoring legacy code with Claude Code

5. Understanding tests, configs, and build systems via prompts

Lesson 4 - Code Generation & Refactoring

1. Generating production-ready code from requirements

2. Refactoring code safely with step-by-step reasoning

3. Writing idiomatic code across multiple languages

4. Converting pseudocode and specs into working implementations

5. Improving performance, readability, and maintainability

Lesson 5 - Debugging, Testing & Validation

1. AI-assisted debugging workflows

2. Reading stack traces and runtime errors with Claude Code

3. Generating unit, integration, and end-to-end tests

4. Test-driven development (TDD) with Claude Code

5. Identifying race conditions, edge cases, and logical bugs

Lesson 6 - Automation, Hooks & Tooling Extensions

1. Creating custom Claude Code tools and hooks

2. Automating repetitive engineering tasks

3. Integrating linters, formatters, and static analyzers

4. CI/CD workflow automation using Claude Code

5. Using MCP to connect external services and APIs

Lesson 7 - Secure & Responsible Coding with Claude Code

1. Detecting security flaws and unsafe patterns in source code

2. Dependency risk analysis and vulnerability awareness

3. Secure prompt design and output validation

4. Preventing hallucinations and unsafe automation

5. Code review automation and policy enforcement

Lesson 8 - Practical Projects & Advanced Workflows

1. Building a full project end-to-end with Claude Code

2. Multi-step task orchestration using agents

3. Combining analysis, generation, testing, and deployment

4. Scaling Claude Code usage for teams

5. Best practices for real-world production adoption

Talk To Us

We are happy to help you

1-800-7430-173 (US Toll Free)

+91 7240740740 (India)

Drop Us a Query

Fields marked * are mandatory

Name

Phone Number

Comments

Request For Live Demo Class

Claude Code Training Fees and Batch Details

Online Class Room Program

US $ 799.00

100% Money Back Guarantee

Duration : 35 Hrs
Plus Self Paced

Classes Starting From

Fast Track Batch 08 Jul 2026
Weekday Batch 13 Jul 2026
Weekend Batch 11 Jul 2026

Corporate Training

Customized Training Delivery Model
Flexible Training Schedule Options
Industry Experienced Trainers
24x7 Support

Trusted By Top Companies Worldwide

Want to know Today's Offer

Claude Code Certification

We provide a Course Completion Certificate to all learners who successfully complete the Claude Code Training. This certificate validates your understanding of AI-assisted software development concepts and hands-on experience with Claude Code workflows.

FAQs: Claude Code Online Course

Q1. Do I need prior AI or machine learning experience to join this course?

No. Basic coding and Git knowledge are enough- the course builds your AI workflow skills from the ground up.

Q2. Is Claude Code free to use during the training?

You'll need access to Claude Code (free or paid tier) to complete hands-on labs; igmGuru trainers will guide you on setup.

Q3. Will I get a certificate after completing this course?

Yes, you'll receive an igmGuru course completion certificate recognizing your Claude Code proficiency.

Q4. Is this course suitable for non-developers like product managers?

Yes, the course is structured so both technical and semi-technical learners can follow along and apply the concepts.

Q5. What is MCP, and will it be covered in this training?

MCP (Model Context Protocol) lets Claude Code connect to external tools and data sources, and it's a core part of this curriculum.

Q6. How long is the Claude Code course?

The course runs for 30 hours, including live sessions, hands-on labs, and project work.

Q7. Will I work on real projects during the training?

Yes, the course includes practical assignments and real-world project simulations, not just theory.

1-800-7430-173

(US Toll Free)

+91-7240-740-740

(India)