Why Salesforce Development is One of the Most Lucrative Programming Specialisations in India
Here is a number that surprises most people outside the Salesforce world: according to the IDC, the Salesforce ecosystem is projected to create 9.3 million new jobs and generate $1.8 trillion in new business revenues globally by 2028. India is a major driver of that projection — Salesforce implementation partners based in Pune, Bangalore, Hyderabad, and Mumbai collectively employ tens of thousands of Salesforce professionals and are hiring continuously. In that ecosystem, developers who can write Apex and build Lightning Web Components occupy one of the highest-demand and highest-compensation positions.
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The reason Salesforce Developer skills command a premium is straightforward. Every company that uses Salesforce starts with the Admin configuration layer — the declarative tools. But most serious enterprise implementations eventually hit requirements that configuration alone cannot meet. A company wants a custom pricing engine that calculates discounts based on thirty variables. An integration with a legacy ERP system that the standard connectors cannot handle. A custom user interface component for a specialised workflow that does not fit any standard Salesforce page layout. A scheduled batch job that processes a million records nightly and updates downstream systems. All of these require Apex code and, increasingly, Lightning Web Components. The developers who can write that code are among the most sought-after people in the Salesforce talent market.
What makes this accessible at Aapvex is the curriculum design. We do not assume you already know Java. We start from programming fundamentals — what a variable is, what a loop does, what object-oriented programming means — and teach Apex as a language in that context. Students who have some Java or similar language background will move faster through the early modules. Students who are new to programming will take longer but absolutely can get there with consistent effort. Either way, by the end you will be writing production-quality Apex code, building LWC components, and integrating Salesforce with external systems — the skills that the market is paying ₹12–22 LPA for with 2–3 years of experience. Call 7796731656 today.
500+
Students Placed
4.9★
Google Rating
9
Course Modules
₹22L+
Experienced Dev Salary
Technologies & Tools Covered in This Course
Apex Language
Core Salesforce programming
SOQL & SOSL
Database query languages
Apex Triggers
Event-driven automation
Async Apex
Batch, Future, Queueable
LWC
Modern UI components
REST API
External integrations
SOAP API
Enterprise integrations
Apex Testing
Unit tests & code coverage
Visualforce
Legacy page development
VS Code + SF CLI
Development environment
Salesforce DX
Source-driven development
Git + GitHub
Version control for SF code
Full Course Curriculum — 9 Modules
1
Salesforce Platform Review & Development Environment Setup
A Salesforce Developer needs the Admin foundation to be solid before any code is written — because Apex operates on the data model, respects the security model, and is deployed through the metadata framework that Admins use. This module consolidates the Admin knowledge that developers need and sets up the development environment that professional Salesforce developers use.
The Salesforce data model is reviewed from a developer's perspective: objects as database tables, fields as columns, and the specific data types in Apex that map to each Salesforce field type (String for Text, Integer/Decimal for Number, Boolean for Checkbox, Date/DateTime, Id for Salesforce record IDs). The Governor Limits framework is introduced as the single most important conceptual constraint in Salesforce development — the system of per-transaction resource limits (100 SOQL queries, 150 DML statements, 6MB heap, 10s CPU time) that every Apex developer must design around from the first line of code. Salesforce DX (Developer Experience) is set up: Visual Studio Code with the Salesforce Extension Pack installed, Salesforce CLI authenticated to the Developer org, project structure understood (force-app/main/default directory structure, .sfdx and .sf configuration), and the basic SFDX workflow (pull metadata from org, develop locally, push back to org). Git is configured for version control of Salesforce code — the same discipline of committing all changes and working through pull requests applies to Salesforce development as to any other codebase.
The Salesforce data model is reviewed from a developer's perspective: objects as database tables, fields as columns, and the specific data types in Apex that map to each Salesforce field type (String for Text, Integer/Decimal for Number, Boolean for Checkbox, Date/DateTime, Id for Salesforce record IDs). The Governor Limits framework is introduced as the single most important conceptual constraint in Salesforce development — the system of per-transaction resource limits (100 SOQL queries, 150 DML statements, 6MB heap, 10s CPU time) that every Apex developer must design around from the first line of code. Salesforce DX (Developer Experience) is set up: Visual Studio Code with the Salesforce Extension Pack installed, Salesforce CLI authenticated to the Developer org, project structure understood (force-app/main/default directory structure, .sfdx and .sf configuration), and the basic SFDX workflow (pull metadata from org, develop locally, push back to org). Git is configured for version control of Salesforce code — the same discipline of committing all changes and working through pull requests applies to Salesforce development as to any other codebase.
2
Apex Fundamentals — Syntax, Data Types, Collections & OOP
Apex is a strongly typed, object-oriented programming language with syntax very similar to Java. For someone with prior Java experience this module is a fast orientation. For someone new to programming this is the foundation everything else builds on — and it is taught at the pace and with the scaffolding that new programmers need to genuinely understand, not just copy-paste.
Apex primitives are covered first: Integer, Long, Double, Decimal (the correct type for financial calculations), String (and its extensive built-in methods — substring, contains, startsWith, split, format), Boolean, Date, Time, DateTime, and Id (Salesforce's 15/18-character record identifier). Collections are the most important Apex data structures for developer work: List (ordered, allows duplicates — the most used collection), Set (unordered, no duplicates — used for deduplication and existence checks), and Map (key-value pairs — used constantly for efficient record lookups and governor limit-friendly query patterns). The for loop patterns — traditional index loop, list iteration loop, and SOQL for loop (iterating directly over query results to avoid heap limit issues with large datasets) — are all practised. Object-Oriented Programming in Apex covers class definition, instance variables, constructors, instance methods, static methods and variables, access modifiers (public, private, protected, global, with sharing, without sharing), and interfaces. A real business scenario — a custom pricing engine class that calculates tiered discounts based on quantity and customer tier — is built step by step to apply OOP concepts in a Salesforce business context.
Apex primitives are covered first: Integer, Long, Double, Decimal (the correct type for financial calculations), String (and its extensive built-in methods — substring, contains, startsWith, split, format), Boolean, Date, Time, DateTime, and Id (Salesforce's 15/18-character record identifier). Collections are the most important Apex data structures for developer work: List (ordered, allows duplicates — the most used collection), Set (unordered, no duplicates — used for deduplication and existence checks), and Map (key-value pairs — used constantly for efficient record lookups and governor limit-friendly query patterns). The for loop patterns — traditional index loop, list iteration loop, and SOQL for loop (iterating directly over query results to avoid heap limit issues with large datasets) — are all practised. Object-Oriented Programming in Apex covers class definition, instance variables, constructors, instance methods, static methods and variables, access modifiers (public, private, protected, global, with sharing, without sharing), and interfaces. A real business scenario — a custom pricing engine class that calculates tiered discounts based on quantity and customer tier — is built step by step to apply OOP concepts in a Salesforce business context.
3
SOQL, SOSL & DML — Querying and Manipulating Salesforce Data
Every useful Apex class either reads data from or writes data to the Salesforce database. SOQL is how you read it, DML is how you write it, and getting both right — efficiently, with governor limits in mind — is a core developer competency tested heavily in the PD1 exam and every Salesforce developer technical interview.
SOQL (Salesforce Object Query Language) is covered from basic queries through advanced patterns. The basic SELECT/FROM/WHERE structure is established, then expanded: ORDER BY for sorting, LIMIT for constraining result size, OFFSET for pagination, aggregate functions (COUNT, SUM, AVG, MAX, MIN, GROUP BY, HAVING), relationship queries (parent-to-child subqueries like
SOQL (Salesforce Object Query Language) is covered from basic queries through advanced patterns. The basic SELECT/FROM/WHERE structure is established, then expanded: ORDER BY for sorting, LIMIT for constraining result size, OFFSET for pagination, aggregate functions (COUNT, SUM, AVG, MAX, MIN, GROUP BY, HAVING), relationship queries (parent-to-child subqueries like
SELECT Id, Name, (SELECT LastName FROM Contacts) FROM Account and child-to-parent dot notation like SELECT Account.Name FROM Contact), and semi-joins and anti-joins for set-based filtering. Dynamic SOQL — building query strings at runtime — is used for flexible search requirements. SOSL (Salesforce Object Search Language) is covered for its unique capability of searching text across multiple objects simultaneously in a single statement. DML operations — Insert, Update, Upsert, Delete, Undelete, Merge — are performed both on individual sObjects and on collections (the bulk approach that respects governor limits). The Database class methods (Database.insert with allOrNone=false for partial success scenarios, Database.SaveResult for checking individual record success/failure) are used for scenarios requiring more control than direct DML. The critical developer habit of never putting SOQL queries or DML inside loops — the number one source of governor limit violations in poorly written Apex — is drilled through multiple debugging exercises where limit violations are created and then fixed by restructuring the code.
4
Apex Triggers — Design Patterns, Bulkification & Handler Architecture
Apex Triggers are the most powerful and most frequently misused feature in Salesforce development. A trigger runs automatically when a database operation occurs on a Salesforce object — and it can do things that no Flow or declarative tool can match. It can also bring a Salesforce org to its knees if written badly. This module teaches triggers the right way from the very beginning.
Trigger syntax is established first: the trigger declaration (trigger TriggerName on ObjectName (before insert, after insert, before update, after update, before delete, after delete, after undelete)), the context variables (Trigger.new for the new versions of records, Trigger.old for the old versions, Trigger.newMap and Trigger.oldMap for map access by Id, Trigger.isInsert, Trigger.isUpdate, and so on), and the difference between before triggers (records not yet committed to database — can modify field values) and after triggers (records committed — Id is available, but cannot modify triggering records directly). Bulkification is the most important trigger concept and the one most frequently tested in PD1 interviews: triggers must work correctly when 200 records are processed simultaneously (Salesforce's batch size in bulk operations), which means they must never contain SOQL queries or DML inside for loops. The bulkification pattern is drilled repeatedly: collect all Ids first, run one SOQL query outside the loop to get all related records, process in a Map, then perform one DML operation at the end. The Trigger Handler pattern — keeping the trigger file itself to a single line that calls a handler class — is implemented for every trigger exercise, because it separates business logic from the trigger event mechanism, making code testable, readable, and extensible. Trigger order of execution is explained: the sequence of before triggers, validation rules, Flow before-save actions, Apex after triggers, Flow after-save actions, and other automation that runs when a record is saved — and the specific cases where order matters for debugging.
Trigger syntax is established first: the trigger declaration (trigger TriggerName on ObjectName (before insert, after insert, before update, after update, before delete, after delete, after undelete)), the context variables (Trigger.new for the new versions of records, Trigger.old for the old versions, Trigger.newMap and Trigger.oldMap for map access by Id, Trigger.isInsert, Trigger.isUpdate, and so on), and the difference between before triggers (records not yet committed to database — can modify field values) and after triggers (records committed — Id is available, but cannot modify triggering records directly). Bulkification is the most important trigger concept and the one most frequently tested in PD1 interviews: triggers must work correctly when 200 records are processed simultaneously (Salesforce's batch size in bulk operations), which means they must never contain SOQL queries or DML inside for loops. The bulkification pattern is drilled repeatedly: collect all Ids first, run one SOQL query outside the loop to get all related records, process in a Map, then perform one DML operation at the end. The Trigger Handler pattern — keeping the trigger file itself to a single line that calls a handler class — is implemented for every trigger exercise, because it separates business logic from the trigger event mechanism, making code testable, readable, and extensible. Trigger order of execution is explained: the sequence of before triggers, validation rules, Flow before-save actions, Apex after triggers, Flow after-save actions, and other automation that runs when a record is saved — and the specific cases where order matters for debugging.
5
Apex Testing — Unit Tests, Test Data Factories & Code Coverage
Salesforce requires a minimum of 75% code coverage by unit tests before any Apex code can be deployed to a production org. But code coverage alone is not the goal — good unit tests that verify actual behaviour are what make Salesforce applications reliable and maintainable. Writing quality Apex tests is a skill tested heavily in PD1 and one of the most practically valuable things a Salesforce developer can learn.
The Apex test framework is introduced: @isTest annotation, Test.startTest() and Test.stopTest() for isolating the code under test and resetting governor limits, System.assert(), System.assertEquals(), and System.assertNotEquals() for verifying expected behaviour. Test isolation — why Apex tests run in a data-isolated environment that does not see org data, and how to create the test data they need — is established. Test Data Factories are the professional approach to test data management: a single @isTest utility class that provides standardised test record creation methods used across all test classes, rather than each test class independently creating its own inconsistent test data. Test classes are written for the trigger handler and Apex classes built in previous modules — covering positive test scenarios (expected data produces expected results), negative test scenarios (invalid data produces expected errors), and bulk test scenarios (200 records to verify bulkification). The @testSetup annotation for efficient shared test data creation is used. Running code coverage reports in VS Code and Developer Console, identifying which specific lines are not covered, and understanding what 75% means in the deployment context are all covered. The Salesforce testing philosophy — that tests should verify business logic, not just execute code — is discussed with examples of tests that achieve 90% coverage but catch zero bugs versus tests that achieve 60% coverage but validate every critical business scenario.
The Apex test framework is introduced: @isTest annotation, Test.startTest() and Test.stopTest() for isolating the code under test and resetting governor limits, System.assert(), System.assertEquals(), and System.assertNotEquals() for verifying expected behaviour. Test isolation — why Apex tests run in a data-isolated environment that does not see org data, and how to create the test data they need — is established. Test Data Factories are the professional approach to test data management: a single @isTest utility class that provides standardised test record creation methods used across all test classes, rather than each test class independently creating its own inconsistent test data. Test classes are written for the trigger handler and Apex classes built in previous modules — covering positive test scenarios (expected data produces expected results), negative test scenarios (invalid data produces expected errors), and bulk test scenarios (200 records to verify bulkification). The @testSetup annotation for efficient shared test data creation is used. Running code coverage reports in VS Code and Developer Console, identifying which specific lines are not covered, and understanding what 75% means in the deployment context are all covered. The Salesforce testing philosophy — that tests should verify business logic, not just execute code — is discussed with examples of tests that achieve 90% coverage but catch zero bugs versus tests that achieve 60% coverage but validate every critical business scenario.
6
Asynchronous Apex — Future, Batch, Queueable & Scheduled Jobs
Synchronous Apex has tight limits: 100 SOQL queries, 150 DML operations, 10 seconds CPU time, 6MB heap. For most business logic, these limits are perfectly adequate. But for processing large volumes of records, making callouts to external web services, or running operations on a schedule — synchronous processing is not the right tool. Asynchronous Apex provides higher limits and different execution contexts for exactly these scenarios.
Future Methods are the simplest form of asynchronous Apex: annotated with @future, they run in a separate transaction with higher limits and are most commonly used for making HTTP callouts to external systems (which cannot be made from a synchronous trigger context) or for performing mixed DML operations (which are restricted in trigger contexts). Limitations — cannot be called from another Future method, cannot return values — are understood and worked around. Batch Apex is the powerful tool for processing millions of records: the Batchable interface with its start(), execute(), and finish() methods processes records in configurable chunks of up to 200 at a time, each chunk getting its own set of governor limits. A Batch Apex job that identifies and archives Opportunities older than two years — processing potentially hundreds of thousands of records in chunks of 200 — is built complete with Database.executeBatch() invocation and scope size selection. Queueable Apex provides a middle ground between Future and Batch: it can be chained (a Queueable can enqueue another Queueable from its execute method), accepts non-primitive parameters, and supports monitoring via AsyncApexJob. Scheduled Apex uses the Schedulable interface to execute code on a cron-like schedule — a nightly data quality check job that runs at 11 PM every day is built, scheduled programmatically and through the Salesforce UI. The async job monitoring and management tools (Setup → Apex Jobs, Setup → Scheduled Jobs) are used for practical job management.
Future Methods are the simplest form of asynchronous Apex: annotated with @future, they run in a separate transaction with higher limits and are most commonly used for making HTTP callouts to external systems (which cannot be made from a synchronous trigger context) or for performing mixed DML operations (which are restricted in trigger contexts). Limitations — cannot be called from another Future method, cannot return values — are understood and worked around. Batch Apex is the powerful tool for processing millions of records: the Batchable interface with its start(), execute(), and finish() methods processes records in configurable chunks of up to 200 at a time, each chunk getting its own set of governor limits. A Batch Apex job that identifies and archives Opportunities older than two years — processing potentially hundreds of thousands of records in chunks of 200 — is built complete with Database.executeBatch() invocation and scope size selection. Queueable Apex provides a middle ground between Future and Batch: it can be chained (a Queueable can enqueue another Queueable from its execute method), accepts non-primitive parameters, and supports monitoring via AsyncApexJob. Scheduled Apex uses the Schedulable interface to execute code on a cron-like schedule — a nightly data quality check job that runs at 11 PM every day is built, scheduled programmatically and through the Salesforce UI. The async job monitoring and management tools (Setup → Apex Jobs, Setup → Scheduled Jobs) are used for practical job management.
7
Lightning Web Components (LWC) — Building Custom Salesforce UI
Lightning Web Components is Salesforce's modern UI development framework — built on HTML, CSS, and JavaScript ES6+ web standards rather than proprietary abstractions. If you have any web development background, LWC will feel familiar. If you do not, this module teaches the JavaScript and web concepts you need specifically in the context of building Salesforce components.
The LWC file structure is established: the component bundle consisting of an HTML template file (the UI markup using Salesforce's template syntax for conditional rendering and iteration), a JavaScript controller file (the component's behaviour — properties, event handlers, lifecycle hooks), a CSS file (component-scoped styles), and an XML metadata file (component configuration — where it can be placed, what properties it exposes to App Builder). The HTML template syntax is covered:
The LWC file structure is established: the component bundle consisting of an HTML template file (the UI markup using Salesforce's template syntax for conditional rendering and iteration), a JavaScript controller file (the component's behaviour — properties, event handlers, lifecycle hooks), a CSS file (component-scoped styles), and an XML metadata file (component configuration — where it can be placed, what properties it exposes to App Builder). The HTML template syntax is covered:
lwc:if and lwc:else for conditional rendering, for:each for iterating over collections, property binding with {variableName}, and event handling with onclick, onchange, and custom events. JavaScript in LWC covers the @track, @api, and @wire decorators that are the core of LWC reactivity: @track for internal reactive state, @api for exposing properties to parent components and App Builder, and @wire for connecting to Salesforce data and Apex methods reactively. LWC Data Services — Lightning Data Service (LDS) and the @wire adapter for standard CRUD without writing Apex — are used for simple record operations. Wire service adapters for getRecord, getFieldValue, getRelatedListRecords, and getPicklistValues are implemented. Custom events for parent-child component communication and the Lightning Message Service for cross-component communication are both practised. A full feature component — a custom Account relationship visualiser that displays related Contacts and Opportunities in a single LWC with filterable table and expandable details — is built as the module project.
8
Salesforce REST & SOAP API Integration
No modern enterprise Salesforce implementation lives in isolation. It integrates with ERP systems, marketing platforms, financial systems, logistics software, and custom applications. Integration is where senior Salesforce developers spend a significant portion of their time — and it is one of the most distinctly high-value skills in Salesforce development because it requires both Salesforce expertise and general API/integration knowledge.
Salesforce REST API is introduced as the primary integration interface: making authenticated API calls to Salesforce from external systems using OAuth 2.0 (the Connected App setup, OAuth flows — Web Server Flow, User-Agent Flow, and JWT Bearer Flow for server-to-server authentication). Core REST API operations — querying records (GET /services/data/v59.0/query?q=SELECT+Id,Name+FROM+Account), creating records (POST), updating records (PATCH), deleting records (DELETE), and the Composite API for batching multiple operations — are practised using Postman. Making HTTP callouts from Apex to external REST APIs is implemented: the Http, HttpRequest, and HttpResponse classes, setting headers and request bodies, parsing JSON responses using JSON.deserialize() and JSON.deserializeUntyped(), and the Remote Site Settings required for Apex callouts. Mock HTTP responses in unit tests (using StaticResourceCalloutMock and HttpCalloutMock implementations) are built for testing callout code without actually calling external endpoints. SOAP API is introduced for legacy enterprise integration scenarios: WSDL generation, WSDL2Apex for generating client proxy classes, and the use cases where SOAP is preferred over REST. Platform Events — Salesforce's event-driven integration pattern built on the Pub/Sub model — are implemented for real-time integration: publishing events from Apex and subscribing to them from both LWC and external systems. Change Data Capture (CDC) is introduced as the mechanism for streaming real-time record change notifications to external systems.
Salesforce REST API is introduced as the primary integration interface: making authenticated API calls to Salesforce from external systems using OAuth 2.0 (the Connected App setup, OAuth flows — Web Server Flow, User-Agent Flow, and JWT Bearer Flow for server-to-server authentication). Core REST API operations — querying records (GET /services/data/v59.0/query?q=SELECT+Id,Name+FROM+Account), creating records (POST), updating records (PATCH), deleting records (DELETE), and the Composite API for batching multiple operations — are practised using Postman. Making HTTP callouts from Apex to external REST APIs is implemented: the Http, HttpRequest, and HttpResponse classes, setting headers and request bodies, parsing JSON responses using JSON.deserialize() and JSON.deserializeUntyped(), and the Remote Site Settings required for Apex callouts. Mock HTTP responses in unit tests (using StaticResourceCalloutMock and HttpCalloutMock implementations) are built for testing callout code without actually calling external endpoints. SOAP API is introduced for legacy enterprise integration scenarios: WSDL generation, WSDL2Apex for generating client proxy classes, and the use cases where SOAP is preferred over REST. Platform Events — Salesforce's event-driven integration pattern built on the Pub/Sub model — are implemented for real-time integration: publishing events from Apex and subscribing to them from both LWC and external systems. Change Data Capture (CDC) is introduced as the mechanism for streaming real-time record change notifications to external systems.
9
Visualforce, Deployment & Platform Developer I Certification Preparation
The final module covers Visualforce for legacy system work (still very common in existing implementations), professional deployment practices using change sets and Salesforce DX, and complete PD1 examination preparation with timed mock exams.
Visualforce — the older server-side markup language for building Salesforce UI — is covered because tens of thousands of existing Salesforce implementations have significant Visualforce codebases that developers are expected to maintain and enhance. Visualforce page syntax (
Visualforce — the older server-side markup language for building Salesforce UI — is covered because tens of thousands of existing Salesforce implementations have significant Visualforce codebases that developers are expected to maintain and enhance. Visualforce page syntax (
<apex:page>, standard controller and custom controller usage, <apex:form>, <apex:inputField>, <apex:outputField>, <apex:dataTable>), Visualforce controllers (standard, standard extensions, and fully custom controllers), and the Visualforce-to-LWC migration pattern used for modernising legacy UI are all covered. Deployment using Change Sets is reviewed from a developer's perspective — adding the correct metadata types (Apex Classes, Apex Triggers, LWC bundles, CustomField, Profile changes) to outbound change sets and validating before deploying. Salesforce DX deployment using sf project deploy start is practised as the modern approach. The PD1 examination preparation covers the six exam topics — Salesforce Fundamentals (7%), Data Modelling (13%), Process Automation (11%), Logic and Process Control (22%), User Interface (25%), Testing, Debugging and Deployment (22%) — mapped to course content. Two full 65-question timed mock exams are run with detailed review of every question, focusing particularly on common trick questions about governor limits, trigger order of execution, and the specific LWC decorators.
Projects You Will Build in This Course
⚙️ Apex Trigger Suite — Account & Opportunity
Account trigger: auto-populate industry based on billing country. Opportunity trigger: create follow-up task on stage change, update account last activity date. Both using full handler pattern with unit tests achieving 90%+ coverage.
🔄 Batch Apex Data Archival Job
Batch job processing all Opportunities closed more than 2 years ago — moves them to a custom Archive__c object, deletes originals, sends completion report email. Tested, schedulable, with error logging.
🎨 LWC Account 360 Dashboard Component
Custom LWC component showing related Contacts, open Opportunities, and recent Cases in a single tabbed interface using @wire and Apex controller. Deployed on Account record page via App Builder.
🔗 REST API Integration — Weather Service
Apex callout to a public REST weather API triggered from LWC. Displays current weather for Account's billing city on the record page. Complete with HTTP mock for unit testing the callout.
📡 Platform Events — Real-Time Stock Alert
Inventory update Platform Event published from external system, subscribed in Apex trigger to update product availability fields and trigger replenishment notifications in Salesforce.
🏆 PD1 Mock Exam Pass (Capstone)
Complete and pass the Platform Developer I certification exam. The course includes full preparation, timed mock exams, and personalised feedback on areas needing review before the real exam.
Career Roles After Salesforce Developer Training
Salesforce Developer (Junior/Mid)
₹6–10 LPA (Fresher) · ₹12–22 LPA (3 yrs)
Writes Apex triggers, classes, batch jobs, and LWC components. The most in-demand technical Salesforce role. High volume of hiring at Salesforce implementation partners across Pune.
Salesforce Technical Lead
₹18–30 LPA · Senior engineering role
Leads development teams, architects technical solutions, reviews code, and manages deployments. The natural progression from Senior Developer with 5+ years. Very high compensation at large SI firms.
Salesforce Integration Specialist
₹10–18 LPA (Entry) · ₹22–38 LPA (senior)
Specialises in connecting Salesforce with other enterprise systems — ERP, marketing platforms, financial systems. Combines Salesforce API expertise with general integration architecture knowledge.
Full-Stack Salesforce Developer
₹12–22 LPA (Entry) · ₹25–42 LPA (senior)
Handles both Apex backend logic and LWC frontend development. The most flexible and highly paid individual Salesforce developer profile — valued at every Salesforce implementation firm.
Who Should Join This Salesforce Developer Course?
- Salesforce Admins who have completed ADM 201 training and want to advance into the technical developer role with significantly higher salary
- Java developers who want to transition into Salesforce development — Java background makes Apex extremely easy to pick up
- JavaScript developers who want to add Salesforce LWC to their skillset and access Salesforce's booming market
- IT professionals from testing, support, or business analysis backgrounds who want to transition into a technical Salesforce development role
- Fresh CS/IT graduates who want to enter the IT sector through a specialisation that commands higher salaries than generalist programming roles
Prerequisites: Salesforce Admin fundamentals (either from our ADM 201 course or equivalent practical experience with Salesforce). Basic programming exposure is helpful but not mandatory — the course builds Apex from programming fundamentals. Call 7796731656 to discuss your background.
What Students Say
"I was a Java developer for three years and heard from a colleague that Salesforce developers earn significantly more for similar technical complexity. He was right. The Aapvex course was perfectly designed for my background — the Apex fundamentals module went quickly because Java knowledge transferred directly, and I could focus more energy on the Salesforce-specific concepts: governor limits, trigger patterns, SOQL. The LWC module was genuinely excellent — the @wire decorator and reactive data binding were new concepts that the trainer explained with excellent clarity. I passed PD1 on my first attempt with 82% and joined a Salesforce implementation partner at ₹13.5 LPA — a ₹4 LPA jump from my Java role. The course fee paid for itself in the first two months of salary difference."— Kiran M., Salesforce Developer, SI Partner, Pune (Java Dev ₹9.5 LPA → SF Dev ₹13.5 LPA)
"I had finished the Salesforce Admin course six months before and wanted to move into development. The Aapvex Developer course was a natural continuation — the trainer knew we had all come from the Admin course and built the development concepts directly on that foundation rather than re-explaining Admin basics. The governor limits and bulkification module was where I learned the most — the exercises where we deliberately caused governor limit errors and then fixed them by restructuring the code were the best practical learning I have had in any course. The batch Apex project (the data archival job) is now deployed in a client org at work. Salary went from ₹7 LPA as a Salesforce Admin to ₹11 LPA as a Salesforce Developer within eight months."— Ananya P., Salesforce Developer, IT Services Company, Pune (Admin ₹7 LPA → Developer ₹11 LPA)
Batch Schedule
- Weekend Batch: Saturday and Sunday, 5 hours per day. Completes in 14–16 weeks. Most popular format. Ideal for working Salesforce Admins upskilling to Developer role.
- Weekday Batch: Monday to Friday, 2 hours per day. Completes in 16 weeks. Best for full-time students or those who can dedicate daily focused learning time to development work.
- Live Online Batch: Real-time Zoom sessions with VS Code screen sharing and shared Developer orgs. Same trainer, mock exams, and placement support. Pan-India availability.
Call 7796731656 or WhatsApp 7796731656 to check the next batch and reserve your seat.
Frequently Asked Questions — Salesforce Developer Course Pune
What is the fee for the Salesforce Developer course at Aapvex Pune?
The Salesforce Developer (Apex and LWC) course starts from ₹15,999. Competitors charge ₹35,000–60,000 for comparable training. No-cost EMI is available. Call 7796731656 for current batch pricing.
What is a Governor Limit in Salesforce and why is it so important?
Governor Limits are the runtime limits Salesforce enforces on every Apex transaction to prevent any single customer from consuming excessive shared platform resources. The most critical ones are: 100 SOQL queries per synchronous transaction, 150 DML statements, 6MB heap size, and 10 seconds CPU time. Writing code that respects these limits through bulkification — processing records in collections rather than one at a time, querying outside loops, performing DML in bulk — is the defining skill of a good Salesforce developer and a major focus of this course.
Do I need to know JavaScript to learn LWC?
Basic JavaScript knowledge is helpful, but not required as a prerequisite. The course introduces the JavaScript concepts needed for LWC in the context of building components — ES6 arrow functions, template literals, destructuring, the class syntax, Promises, and async/await are all explained as you encounter them in LWC code. Students with prior JavaScript or Java experience move faster through this module. Those without programming background find this the most challenging module but absolutely achievable with consistent practice.
What is the Trigger Handler pattern and why should I use it?
The Trigger Handler pattern means your trigger file contains only one line — a call to a handler class method. All the business logic lives in the handler class, not in the trigger file. This matters because: (1) trigger files cannot be directly unit tested with proper isolation — but handler classes can; (2) keeping logic in classes allows it to be called from other places (Batch, API, etc.) not just trigger events; (3) it makes the code dramatically more readable and maintainable. Every trigger in this course is built using the handler pattern from the start — it is a professional habit we establish immediately rather than showing the anti-pattern first.
What is the difference between Aura Components and Lightning Web Components?
Aura is Salesforce's older proprietary component framework that was introduced before modern JavaScript web standards matured. LWC is Salesforce's newer framework built on standard web technologies (HTML, CSS, JavaScript ES6+) — it is faster, more lightweight, and aligned with how web development works outside of Salesforce. Salesforce's strategic direction is LWC — all new development should use LWC. Aura is still supported for existing implementations but is not being enhanced. This course focuses on LWC with Aura covered briefly as context for the components you might encounter in existing codebases.
How do I enrol in the Salesforce Developer course at Aapvex Pune?
Call or WhatsApp 7796731656 for batch dates, fees, and a quick assessment of whether your current background is ready for the Developer course or whether the Admin course should come first. Fill the Contact form and we call back within 2 hours. Walk-in counselling sessions at our Pune centre are free and without commitment.