Advanced Claude AI
| Training Mode | Regular | Fasttrack | Crash |
|---|---|---|---|
| Classroom | Online | 45 Days | 20 Days | 10 Days |
Take your AI skills to the next level with the Advanced Claude AI Course at Next-G Education, Rohini, Delhi. This practical training program is designed for learners who want to go beyond basic AI prompting and explore advanced Claude capabilities, custom Skills, Model Context Protocol (MCP), AI assistant development.
Learn how to create reusable Claude Skills, connect AI assistants with external tools, develop custom MCP servers using Node.js. The course also introduces AI agent concepts, tool calling, multi-step workflows and responsible AI tool execution.
Through guided exercises and practical projects, students learn how these technologies can be applied to software development, business processes, research and productivity.
Whether you are a web developer, IT professional, freelancer or AI enthusiast with basic Claude knowledge, this course will help you develop practical skills for building more capable AI-assisted workflows.
Prerequisites: Basic JavaScript and Node.js knowledge will be helpful for MCP server development. Coding experience is required for the technical modules.
Who Should Join the Advanced Claude AI Course?
This course is suitable for:
-
Web Developers and Software Developers
-
PHP, Laravel and CodeIgniter Developers
-
JavaScript and Node.js Developers
-
IT Professionals
-
Freelancers and Consultants
-
Technical Entrepreneurs
-
AI Enthusiasts with Basic Claude Knowledge
-
Professionals interested in MCP and AI Tool Integrations
-
Learners interested in AI-assisted software development
Basic familiarity with Claude AI is recommended. Learners planning to complete the Node.js MCP development modules should have basic programming knowledge or be prepared to learn the required fundamentals.
Why Learn Advanced Claude AI?
As AI tools evolve, professionals increasingly need to understand how to customize AI assistants, connect external tools and integrate AI into technical workflows. The Advanced Claude AI Course introduces these capabilities through structured learning and hands-on projects.
You will explore:
-
Custom AI Workflows: Create reusable instructions and Skills for specialized tasks.
-
MCP Integrations: Understand how compatible AI applications can use external tools.
-
AI-Assisted Coding: Use Claude Code to support debugging, code generation and refactoring.
-
Custom Tool Development: Build MCP servers using Node.js.
-
AI Assistant Design: Explore tool calling, multi-step tasks and human approval.
-
Practical Projects: Apply your learning to software development and business use cases.
The course emphasizes practical implementation, critical evaluation and responsible use of AI-generated results.
Why Choose Next-G Education for Advanced Claude AI Training?
Next-G Education offers practical, instructor-guided training for learners who want to explore advanced AI tools and apply them to real-world tasks.
-
Structured, step-by-step learning
-
Practical assignments and guided projects
-
Hands-on experience with Claude Skills and Connectors
-
MCP configuration and custom server development
-
AI-assisted coding practice
-
Classroom and online learning options
-
Practical exposure to technical and business use cases
-
Guidance on testing and reviewing AI-generated outputs
Contact Next-G Education to enquire about course fees, batch timings and demo sessions.
Advanced Claude AI Course Syllabus
Module 1: Advanced Prompt Engineering & Context Engineering
What you'll learn: Design structured prompts and manage context effectively for complex research, development and business tasks. Learn to improve response quality through clear instructions, examples, constraints and structured outputs.
Topics Covered
-
Advanced Prompt Engineering Techniques
-
Role-Based and Instruction-Driven Prompting
-
Zero-Shot and Few-Shot Prompting
-
Context Engineering Fundamentals
-
XML-Based Prompt Structures
-
Structured Outputs and JSON
-
Prompt Templates and Reusable Instructions
-
Long-Context Management
-
Prompt Testing and Optimization
-
Evaluating AI-Generated Results
Practical: Build an advanced prompt library for research, software development and business analysis.
Module 2: Advanced Claude Projects & Knowledge Workflows
What you'll learn: Organize complex knowledge resources and build specialized Claude workspaces for research, technical documentation and business use cases.
Topics Covered
-
Advanced Project Instructions
-
Knowledge File Organization
-
Multiple Document Analysis
-
Building Domain-Specific Knowledge Workspaces
-
Research and Analysis Workflows
-
Technical Documentation Assistance
-
Reusable Project Templates
-
Context Management for Complex Tasks
-
Reviewing and Improving AI-Generated Results
Practical: Create a technical knowledge assistant using project instructions and reference documents.
Module 3: Advanced Claude Artifacts & Prototyping
What you'll learn: Use Claude Artifacts to create interactive prototypes, dashboards and lightweight tools. Learn how to review generated code, refine functionality and test outputs.
Topics Covered
-
Advanced Artifact Creation
-
Interactive HTML and JavaScript Tools
-
Dashboard and Data Visualization Prototypes
-
Interactive Calculators
-
Reports and Data Presentation
-
Mini Web Application Prototypes
-
Reviewing Generated Code
-
Refining Interfaces and Functionality
-
Testing and Sharing Artifacts, Where Supported
Practical: Develop an interactive dashboard or a working prototype for a business requirement.
Module 4: Custom Claude Skills Development
What you'll learn: Develop reusable Skills that guide Claude through specialized tasks using structured instructions and supporting resources. Learn to create, test and improve custom Skills for repeatable workflows.
Topics Covered
-
Claude Skills Architecture
-
Understanding SKILL.md
-
Writing Custom Skill Instructions
-
Organizing Reference Files
-
Designing Reusable Task Workflows
-
Creating SEO and Content Writing Skills
-
Developing Business Productivity Skills
-
Testing and Troubleshooting Skills
-
Improving Skill Reliability
-
Managing Skill Availability and Configuration
Practical: Build and test a custom SEO Content Writing Skill with defined instructions and quality checks.
Module 5: Advanced Claude Connectors & Integrations
What you'll learn: Explore how Claude Connectors make supported external information sources and applications available within Claude. Understand integration capabilities, permissions and limitations.
Topics Covered
-
Connector Architecture and Capabilities
-
Connecting Supported Applications
-
Google Drive and Document Workflows
-
Gmail and Calendar Use Cases, Where Supported
-
GitHub and Development Workflows, Where Supported
-
Slack, Notion and Microsoft 365 Integrations, Where Available
-
Authentication and Access Permissions
-
Data Privacy and Security
-
Troubleshooting Connector Issues
-
Understanding Connector Limitations
Practical: Configure a supported integration and build a document research or technical information workflow.
Module 6: MCP — Model Context Protocol
What you'll learn: Understand how the Model Context Protocol enables compatible AI applications to discover and use external tools and data sources. Learn the architecture, communication flow and security considerations involved in MCP integrations.
Topics Covered
-
Introduction to Model Context Protocol
-
MCP Hosts, Clients and Servers
-
Understanding MCP Architecture
-
Tools, Resources and Prompts
-
Local and Remote MCP Servers
-
MCP Configuration
-
Tool Discovery and Execution
-
Tool Arguments and Responses
-
Authentication and Permissions
-
MCP Security and Troubleshooting
-
Connecting Compatible Applications to MCP Servers
Practical: Configure a compatible MCP integration and use its available tools through Claude.
Module 7: Node.js MCP Server Development
What you'll learn: Develop a custom MCP server using Node.js and the MCP SDK. Learn how to expose selected functionality through tools that compatible AI applications can discover and invoke.
Topics Covered
-
Node.js Environment Setup
-
Installing the MCP SDK
-
Creating Your First MCP Server
-
Defining Custom MCP Tools
-
Tool Arguments and Validation
-
Tool Responses and Error Handling
-
Creating Multiple Tools
-
Stdio Transport
-
Connecting an MCP Server to Claude Desktop
-
Debugging and Testing MCP Tools
-
Database Integration Concepts
-
Safe, Read-Only Database Access
-
Server Configuration and Security
Practical: Develop a custom MCP server with multiple tools for a selected business or database use case.
Module 8: Custom AI Tools & MCP Integrations
What you'll learn: Learn how to extend AI assistant capabilities by connecting compatible applications with external tools and services. Understand how custom tools can support business workflows, research and data access.
Topics Covered
- Introduction to Custom AI Tools
- Understanding Tool Calling
- MCP Tools and Integrations
- Connecting AI Assistants to External Services
- Tool Arguments and Validation
- Structured Tool Responses
- Error Handling and Troubleshooting
- API Integration Fundamentals
- Security and Access Permissions
- Testing Tool-Based Workflows
Practical: Design a tool-based AI assistant workflow using an available MCP integration.
Module 9: AI Agents & Multi-Step Workflows
What you'll learn: Understand how AI assistants can plan tasks, use connected tools and complete multi-step workflows with appropriate validation and human oversight.
Topics Covered
- AI Agent Fundamentals
- AI Assistants vs AI Agents
- Tool Calling and Tool Selection
- Task Planning and Multi-Step Execution
- Context and State Management
- Memory Concepts
- Connecting Agents to External Tools
- Human-in-the-Loop Approval
- Error Handling and Result Validation
- AI Agent Security and Reliability
- Business AI Assistant Use Cases
Practical: Build a customer support assistant prototype using available tools and defined safety rules.
Advanced Claude AI Capstone ProjectsStudents will complete practical projects that demonstrate their understanding of advanced Claude features and integrations.
-
Custom SEO Skill: Develop a reusable Skill for structured SEO content creation.
-
Business Knowledge Assistant: Create a Claude Project using organized reference documents.
-
MCP Integration: Connect Claude to a compatible MCP server and use its tools.
-
Custom MCP Server: Build a Node.js MCP server with multiple tools.
-
AI Research Assistant: Design a tool-using workflow for research and information analysis.
-
Customer Support Assistant: Build a prototype with tool access and human oversight.
Learning Outcomes
After completing the Advanced Claude AI Course, students will be able to:
-
Apply advanced Prompt Engineering and Context Engineering techniques.
-
Build structured Claude Projects and knowledge workflows.
-
Create interactive prototypes using Claude Artifacts.
-
Develop and test custom Claude Skills.
-
Configure supported Connectors and understand their permissions.
-
Explain MCP architecture and configure compatible integrations.
-
Develop custom MCP servers and tools using Node.js.
-
Understand AI agent architecture and tool calling.
-
Design practical AI assistant prototypes for business and technical use cases.
-
Apply appropriate validation, security and human oversight to AI-assisted workflows.
Course Scope: This course focuses on advanced Claude capabilities, MCP, Node.js tool development, Claude API workflows, webhooks.
Advanced Claude AI Course FAQs
What is the Advanced Claude AI Course?
The Advanced Claude AI Course teaches learners how to customize Claude workflows, develop Skills, configure MCP integrations, build Node.js MCP servers, use Claude Code and understand tool-using AI assistants.
What is the difference between Basic and Advanced Claude AI?
The Basic Claude AI Course focuses on using Claude for prompting, research, Projects, Artifacts, Skills and Connectors. The Advanced course focuses on custom Skills, MCP, server development, Claude Code and AI assistant development.
Do I need coding knowledge for this course?
Basic Claude usage does not require coding. However, the Node.js MCP server development and Claude Code practical modules involve technical work. Basic JavaScript and Node.js knowledge is recommended.
What is MCP in Claude AI?
Model Context Protocol (MCP) is a protocol that enables compatible AI applications to connect with external tools and data sources through MCP servers.
Will I learn to create my own MCP server?
Yes. The syllabus includes Node.js environment setup, MCP SDK installation, tool creation, argument validation, tool responses, multiple tools and connecting a server to a compatible Claude application.
Is Claude Code included in the course?
Yes. Students learn how Claude Code can assist with codebase exploration, code generation, debugging, refactoring and testing workflows.
Will I learn AI agent development?
The course introduces AI agent concepts, tool calling, multi-step workflows, context management and human oversight through a practical assistant prototype.
Is n8n automation included?
Complete n8n automation is not part of this course. Claude API integration with n8n, webhooks, Google Sheets automation and CRM workflows are covered separately in the Claude AI with n8n Automation Course.
Who can join the Advanced Claude AI Course?
Developers, IT professionals, freelancers and learners who want to explore advanced Claude features and technical integrations can join. Basic Claude familiarity is recommended.
Where is the Advanced Claude AI Course available?
The course is offered by Next-G Education in Rohini, Delhi. Contact the institute to confirm current classroom and online batch availability.
How can I enquire about fees and batch timings?
Contact Next-G Education to get information about current fees, upcoming batches and demo sessions.
