Agentic Coding using Claude Code (Claude Code Developer) – Live Training
(Master agentic coding with Claude Code. Learn AI-powered software development, prompt engineering, code generation, debugging, Git workflows, automated testing, and AI-assisted development best practices.)
This Agentic Coding using Claude Code course is designed to take learners from the fundamentals to advanced AI-powered software development concepts using Claude Code. The training covers Claude Code setup, configuration, effective prompting, context management, code generation, code refactoring, debugging, and working with existing codebases. You will gain hands-on experience using AI agents to understand project structures, implement features, fix bugs, write and execute tests, and improve code quality. The course also covers Git integration, terminal workflows, custom commands, reusable skills, and Model Context Protocol (MCP) for extending AI capabilities. With Claude Code’s agentic development features, you will learn to streamline coding tasks, automate repetitive workflows, and build reliable software more efficiently. This live, hands-on training is ideal for developers looking to enhance their coding productivity and build practical skills in AI-assisted software development.
About the Instructor:
|
Arpan Ghosh is a seasoned technology leader with over 19 years of extensive IT industry experience, specializing in Artificial Intelligence, Generative AI, Agentic AI, Large Language Models (LLMs), and Machine Learning. He currently serves as Acting Director and Head of AI and Data Science at Modulr Finance, bringing strong expertise in AI innovation, technology strategy, and business transformation. With a strong foundation in AI and Data Science, Arpan has expertise in Python programming, Deep Learning, and intelligent AI-driven solutions. His professional experience aligns with the evolving landscape of agentic development, where AI systems can reason, use tools, execute tasks, and support complex software engineering workflows. In this Agentic Coding using Claude Code (Claude Code Developer) – Live Training, learners can explore modern AI-assisted development concepts, understand agentic coding workflows, and learn how AI coding tools can support software development, debugging, testing, and productivity. The training focuses on bridging the gap between AI concepts and practical software development applications, helping learners understand how to work with AI-powered coding assistants and build more efficient development workflows. With his extensive industry experience and focus on emerging AI technologies, Arpan brings valuable technical and strategic perspectives to learners looking to strengthen their understanding of Agentic AI and AI-assisted software development. |
Live Sessions Price:
For LIVE sessions – Offer price after discount is 300 USD 259 89 USD Or USD13000 INR 12900 INR 6900
OR
Free Demo On:
Indian Timings: 19th November @ 9:00 PM – 10:00 PM (IST)/
U.S Timings: 19th November @ 10:30 AM – 11:30 AM (EST)/
U.K Timings: 19th November @ 3:30 PM – 4:30 PM (BST)
Class Schedule:
For Participants in India: Monday to Friday @ 9:00 PM – 10:00 PM (IST)
For Participants in the US: Monday to Friday @ 10:30 AM – 11:30 AM (EST)
For Participants in the UK: Monday to Friday @ 3:30 PM – 4:30 PM (BST)
What student’s have to say about Trainer :
|
😊 Rahul: 😊 Sneha: 😊 Karthik: 😊 Priya: 😊 Vikram: 😊 Ananya: |
What will I Learn by end of this course?:
- Understand agentic coding concepts and the difference between vibe coding and agentic coding.
- Set up Claude Code and use AI-powered commands for software development.
- Write effective prompts to generate, modify, and optimize code using Claude Code.
- Build a complete Flask web application using Python, SQLite, and AI-assisted development.
- Implement CRUD operations, interactive dashboards, transaction filters, and analytics charts.
- Debug errors, review code, and refactor applications using Claude Code.
- Build multi-agent workflows and run parallel development tasks efficiently.
- Use CLAUDE.md, Git, and GitHub to manage project context and version control.
- Generate automated tests and develop advanced features using agentic coding techniques.
- Deploy applications to the cloud and manage end-to-end development workflows from planning to production.
Salient Features:
- 25 Hours of Live Training along with recorded videos
- one year access to the recorded videos
- Course Completion Certificate
Who can enroll in this course?
- Software Developers looking to learn agentic coding and build AI-powered applications using Claude Code.
- Full Stack Developers who want to accelerate development using AI-assisted coding and automation.
- Freshers and Computer Science Graduates aiming to start a career in AI-powered software development.
- AI Enthusiasts and Prompt Engineers interested in exploring agentic AI, AI agents, and autonomous coding workflows.
- DevOps and Platform Engineers who want to integrate Claude Code into development workflows and CI/CD pipelines.
- Working Professionals looking to improve productivity, automate coding tasks, debug applications, and upgrade their development skills using Claude Code.
Course syllabus:
Module 1: Foundations of Agentic Coding
1.1 Introduction to Agentic Coding
- What is Agentic Coding?
- Difference between Vibe Coding and Agentic Coding
- Why Claude Code is gaining popularity
- The shift from traditional developer to AI-powered builder
1.2 Claude Code Setup and First Commands
- Installing Claude Code
- Terminal basics and understanding the interface
- Running your first AI-assisted command
- Prerequisites: Python, Flask, and Git
1.3 Understanding the Agentic Loop
- How Claude Code reads and understands your codebase
- Task planning and step-by-step execution
- Understanding context windows and memory
- How Claude Code decides what to do next
1.4 Prompt Engineering for Claude Code
- Writing effective prompts for code generation
- Providing context and specifying constraints
- Iterating on AI-generated outputs
- Good prompts vs. bad prompts with practical examples
1.5 Project Introduction — Spendly Design
- Introduction to the Spendly expense tracker
- Dashboard and transaction management
- Analytics and filtering features
- Understanding the project architecture and features
Module 2: Building the Core Application
2.1 Scaffolding the Flask Application
- Creating the project structure using Claude Code
- Understanding app.py, templates, and static files
- Designing the expense-tracking database
- Integrating SQLite with Flask
2.2 Building CRUD Operations
- Create, Read, Update, and Delete operations
- Generating Flask routes using Claude Code
- Writing database queries and forms
- Understanding and validating AI-generated code
2.3 Building the Dashboard UI
- Generating HTML and CSS using Claude Code
- Creating dashboard summary cards
- Displaying recent transactions
- Working with templates and static files
2.4 Transactions Page and Filtering
- Building the transactions listing page
- Filtering transactions by date, category, and amount
- Implementing query logic using Claude Code
- Managing frontend filter states
2.5 Analytics and Charts
- Creating an analytics dashboard
- Generating charts using Chart.js or similar tools
- Implementing category-wise spending analysis
- Creating monthly spending summaries
2.6 Debugging with Claude Code
- Identifying and fixing application bugs
- Understanding error messages
- Providing debugging context to Claude Code
- Following an iterative debugging workflow
2.7 Code Review and Refactoring
- Reviewing code quality and maintainability
- Identifying potential security issues
- Refactoring existing code using Claude Code
- Improving application structure and readability
Module 3: Advanced Agentic Coding Features
3.1 Introduction to Multi-Agent Workflows
- Understanding multi-agent workflows
- Identifying when to use multiple agents
- Orchestrator and sub-agent patterns
- Coordinating parallel development tasks
3.2 Running Parallel Agents
- Setting up multiple Claude Code instances
- Assigning backend and frontend tasks to different agents
- Combining outputs from parallel agents
- Resolving code conflicts
3.3 CLAUDE.md — Teaching Claude Your Codebase
- Creating and configuring CLAUDE.md
- Providing persistent project context
- Documenting coding conventions and architecture decisions
- Defining project constraints and development guidelines
3.4 Git and GitHub with Claude Code
- Generating Git commit messages
- Creating pull requests
- Managing Git branches
- Integrating Claude Code into version control workflows
3.5 Writing Tests with Claude Code
- Generating unit tests
- Creating integration tests
- Testing Spendly application features
- Improving test coverage using Claude Code
3.6 Adding Advanced Features to Spendly
- Implementing budget alerts
- Adding recurring expense functionality
- Implementing CSV export
- Extending an existing application using agentic workflows
3.7 Context Management and Avoiding Pitfalls
- Managing Claude Code’s context window
- Knowing when to start a fresh session
- Summarizing long conversations
- Identifying common failure modes and avoiding them
Module 4: Deployment and Career Readiness
4.1 Preparing for Cloud Deployment
- Understanding deployment requirements for Flask applications
- Configuring production settings
- Managing environment variables
- Creating requirements.txt
- Choosing a cloud deployment platform
4.2 Deploying Spendly to the Cloud
- Preparing the application for deployment
- Configuring the production environment
- Connecting the database
- Verifying the deployed application
4.3 Real-World Agentic Workflow
- Understanding end-to-end agentic development
- Analyzing feature requests and planning implementation
- Building and testing application features
- Committing code and deploying the application
- Completing a full development workflow using Claude Code
4.4 Recap, Career Positioning, and What’s Next
- Reviewing key agentic coding concepts
- Showcasing agentic coding skills on your resume
- Understanding career opportunities and relevant roles
- Exploring next steps: LangGraph, MCP, and multi-agent systems
Course Features
- Lecture 0
- Quiz 0
- Duration 10 weeks
- Skill level All levels
- Language English
- Students 0
- Assessments Yes
