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Salesforce Lightning Front-End & Back-End Development with AI Integration Training focuses on mastering Lightning Web Components, Aura, Apex & real-world AI-enabled integrations. It is important as it equips learners to build intelligent, dynamic Salesforce applications that enhance automation & user experience. This training is ideal for Salesforce developers, CRM professionals & IT aspirants aiming to specialize in AI-powered Salesforce Lightning development.
Duration of Training : 45-50 Hours
Batch type : Weekdays/Weekends
Mode of Training : Classroom/Online/Corporate Training
Curriculum Designed by Experts
• Overview of Salesforce CRM Architecture
• Understanding Salesforce Lightning vs. Classic
• Lightning Experience Overview
• Components of Salesforce Lightning (App Builder, Components, Pages)
• Introduction to AI Capabilities in Salesforce (Einstein, GPT, and AI Cloud)
Assignment:
• Explore Salesforce Lightning Experience and customize a Lightning App.
Job-Oriented Scenario:
• Set up a Salesforce Developer Org and configure Lightning App navigation.
• Standard and Custom Objects
• Fields, Relationships, and Schema Builder
• Formula Fields, Roll-Up Summary, and Validation Rules
• Record Types, Page Layouts, and Field-Level Security
• SOQL & SOSL Queries
Assignment:
• Create custom objects and relationships for a Student Management Application.
Job Scenario:
• Design the data model for a customer support application using standard and custom objects.
• Apex Classes, Triggers, and Batch Apex
• Apex Best Practices & Governor Limits
• Exception Handling and Debugging
• Test Classes and Code Coverage
• Async Apex (Queueable, Schedulable, Future Methods)
Assignment:
• Create a Trigger to auto-update related records when an Account changes.
Job Scenario:
• Develop a batch process to auto-close inactive service cases.
• Attributes, Events, and Component Bundles
• Client-Server Communication with Apex Controller
• Introduction to Aura Framework
• Component & Application Architecture
• Aura vs. Lightning Web Components (LWC)
Assignment:
• Build an Aura component for dynamic record display and filtering.
Job Scenario:
• Develop a component for Account lookup and related contact listing.
• LWC Architecture & Lifecycle Hooks
• HTML, CSS, and JavaScript in LWC
• Decorators: @track, @api, @wire
• Using Apex in LWC (imperative & reactive calls)
• LWC Event Handling & Communication
• Conditional Rendering and Iteration
• Reusable LWC Components
• LWC Testing and Deployment
Assignment:
• Build an LWC for managing Employee Records with dynamic UI updates.
Job Scenario:
• Develop a real-time dashboard in LWC for Sales KPIs with drill-down filters.
• Lightning App Builder Overview
• Customizing Lightning Pages with Components
• Salesforce Flow Builder (Record-Triggered, Screen, Scheduled)
• Embedding LWCs in Flows
• Declarative vs. Programmatic Automation
Assignment:
• Create a Screen Flow that automates lead qualification using LWC input
components.
Job Scenario:
• Automate service case routing using Flow and LWC integration.
• REST & SOAP API Basics in Salesforce
• Callouts from Apex (Integration with External Systems)
• Named Credentials & Authentication (OAuth 2.0)
• Platform Events & Streaming API
• Integrating LWC with REST APIs
• Working with External Objects and Salesforce Connect
Assignment:
• Integrate Salesforce with an external HR application using REST API.
Job Scenario:
• Fetch product catalog data from a third-party API and display it in LWC.
• Introduction to Salesforce Einstein & AI Cloud
• Einstein Prediction Builder – No-Code AI Model Creation
• Einstein Discovery for Predictive Analytics
• Integrating Einstein GPT into Lightning Components
• Custom AI Integrations with OpenAI API (ChatGPT within Salesforce)
• Building Smart Recommendations with AI + Apex
• Using AI to Automate Case Classification & Next Best Action
Assignment:
• Build an Einstein Prediction Model for Lead Conversion Probability.
• Integrate a ChatGPT-powered conversational assistant into a Lightning App.
Job Scenario:
• Create an AI-driven component that suggests products based on customer
purchase history.
• Source Control Integration (Git, GitHub)
• Salesforce CLI and VS Code Setup
• Sandboxes, Change Sets, and Deployment via Metadata API
• Testing Strategies (Apex Test Classes, Jest for LWC)
• Continuous Integration using GitHub Actions or Azure DevOps
Assignment:
• Deploy a custom LWC + Apex project from Sandbox to Production using Change Set.
Job Scenario:
• Set up a CI/CD pipeline for automatic Salesforce deployments.
Project 1: AI-Enhanced Sales Dashboard
Front-End:Â Lightning Web Components
Back-End:Â Apex REST APIs + SOQL
AI Integration:Â Einstein GPT for predictive recommendations
Features:
• Visualize Sales KPIs with real-time updates.
• AI-based recommendations for upsell opportunities.
• Dashboard embedded with dynamic charts and filters.
Project 2:Â Customer Support Automation System
Front-End:Â LWC + Flow Integration
Back-End:Â Apex & Case Management APIs
AI Integration:Â Einstein Bots + ChatGPT API
Features:
• Automated case classification & prioritization using AI.
• Live chatbot integrated for self-service.
• Case assignment automation via Flows.
Project 3: HR Employee Performance Portal
Front-End:Â Aura + LWC Combo App
Back-End:Â Apex + REST Integration
AI Integration:Â Einstein Discovery for performance insights
Features:
• Employee appraisal tracking with KPI metrics.
• AI-driven insights on attrition risk and performance predictions.
• Secure user-based access with RLS and custom profiles.
• Build LWC components for multi-object data visualization.
• Integrate Salesforce with Power BI for advanced analytics.
• Create a ChatGPT-based assistant for CRM data lookup.
• Deploy AI-driven lead scoring using Einstein Prediction Builder.
• Automate customer follow-ups using Salesforce Flow & AI.
Section | Hours |
---|---|
Fundamentals & Data Modeling | 5 |
Apex & Integrations | 10 |
Lightning Development (Aura & LWC) | 12 |
AI & Einstein Modules | 8 |
Testing, DevOps & Deployment | 5 |
Projects & Assessments | 8–10 |
After completing this course, learners will be able to:
• Design scalable Salesforce Lightning Applications using LWC + Apex.
• Integrate AI (Einstein GPT, ChatGPT APIs) into Lightning Components.
• Build enterprise-level Lightning Apps with predictive analytics and automation.
• Confidently handle end-to-end Salesforce projects from UI to backend integration.
• Prepare for Salesforce Certified Platform Developer I & II and AI Cloud specializations.
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