This course teaches you how to move beyond basic prompting and start building production-grade AI workflows inside real Salesforce projects using Claude Code. This is a complete, end-to-end guide to mastering Claude Code for Salesforce development, from fundamentals to building a coordinated Salesforce Agent Team that can deliver a full user story.
If you are a Salesforce Developer, Salesforce Admin, Technical Architect, or AI enthusiast working in the Salesforce ecosystem, this course will show you how to leverage Claude Code, MCP (Model Context Protocol), and multi-agent systems to build faster, smarter, and more structured workflows.
What You Will Learn
Foundation and Setup:
- What Claude Code is and how it works inside a terminal-first workflow
- Step-by-step setup of Claude Code for Salesforce DX projects
- Essential slash commands and custom commands
- Efficient context management and token optimization
- Plan Mode vs Edit Mode and structured AI reasoning
Core Salesforce Development with Claude Code:
- Building Apex classes including Batch Apex
- Creating Validation Rules and Record-Triggered Flows
- Managing CLAUDE. md memory for persistent project context
- Using image mockups to generate Lightning Web Components
- Understanding Context, Tokens, Scope, and best practices for LLM-driven development
- Checkpoints and rollback strategies for safe AI-assisted coding
- Permission management using settings json for secure automation
Advanced AI Workflows and Productivity:
- Building reusable custom slash commands
- Running Claude safely with controlled read and write permissions
- Designing structured AI workflows instead of ad-hoc prompts
- Optimizing token usage and reducing unnecessary context consumption
MCP (Model Context Protocol) and Enterprise Integrations:
- Introduction to MCP architecture
- Enabling Salesforce MCP for intelligent deployments
- Connecting Claude Code with Salesforce, Jira, and GitHub
- Reading Jira user stories directly from Claude
- Creating Git branches and raising Pull Requests automatically
- Executing end-to-end workflows across multiple enterprise systems
This course teaches real-world DevOps workflows integrated with Salesforce DX, GitHub repositories, and Jira-based agile processes.
Multi-Agent Systems and Salesforce Agent Teams:
- Understanding Sub Agents in Claude Code
- Creating specialized Salesforce agents (Design, Admin, Dev)
- Defining workflows using claude . md
- Scaling from a core team to a 7-Agent Salesforce architecture
- Coordinating Design, Development, Testing, Code Review, DevOps, and Documentation agents
- Delivering a complete Salesforce user story using shared memory and structured collaboration
You will learn how to architect and orchestrate AI-driven Salesforce teams using modern agent-based workflows.
