SB
Spandana Bala
Salesforce Administrator
Hyderabad · India
Now at · Infosys
Class 014 · Salesforce & Agentforce with AI Agents · Enrolling
Now
Salesforce &
Agentforce
Master end-to-end Salesforce with Agentforce AI. Build admin and BA foundations, ship production code with Apex and Lightning Web Components, and deploy autonomous Agentforce agents across Sales and Service.
3mo
duration
30+
modules
4.7/5
class rating
100k+
enrolled
Where our Salesforce & Agentforce alumni work
Microsoft
Amazon
Salesforce
ServiceNow
Deloitte
Infosys
Accenture
TCS
Wipro
Capgemini
Cognizant
HCL
MicrosoftAmazonSalesforceServiceNowDeloitteInfosysAccentureTCSWiproCapgeminiCognizantHCL
What you leave with
Four things every Salesforce grad walks away with.
01
Agent-Ready skills
Build, deploy, and monitor Agentforce agents on the Atlas Reasoning Engine with Prompt Builder and Data Cloud grounding — not Trailhead demos.
02
A shipped project
A live multi-cloud Salesforce build (Sales + Service + Agentforce) deployed via DX and DevOps Center on a Developer Edition org with a public verification URL.
03
Verifiable credential
2026 Agent-Ready rubric aligned to Admin, Platform Developer I, AI Associate, and AI Specialist — graded 1–5 with a public verification URL.
04
Direct placement pipeline
GitHub + LinkedIn rewrite, Salesforce-tuned resume rebuild, and warm intros into our 1,000+ hiring partners staffing Salesforce + Agentforce roles.
3 months, four phases
From “updates records” to ships autonomous Agentforce agents..
WEEKS 1–3 · FOUNDATIONS
Platform Admin & Business Analysis
- Multi-cloud architecture, Profiles, Permission Sets, OWD, Sharing Rules
- Custom objects, fields, relationships, validation rules, Flow Builder
- Reports, dashboards, Einstein Analytics, Data Cloud essentials
- BA toolkit — requirements gathering, user stories, agile delivery, UAT
YOU SHIPA fully configured Salesforce org with a complete security model, custom data
model, and Flow-driven automation aligned to a documented business case.
WEEKS 4–7 · DEVELOPMENT
Apex + Lightning Web Components
- Apex syntax, SOQL/SOSL, triggers, async patterns (Future, Queueable, Batch)
- @InvocableMethod custom actions and Apex callouts for Agentforce
- LWC with @api / @track / @wire, lifecycle hooks, SLDS, Jest tests
- Lightning Message Service, NavigationMixin, Wire Adapters, LDS
YOU SHIPA production-grade custom app with Apex backend and LWC UI, deployed via
Salesforce DX and wired to a working Agentforce custom action.
WEEKS 8–10 · Testing & Integrations
Testing, REST/SOAP, and CI/CD
- Apex unit tests, Jest for LWC, Selenium / Provar / Copado for UI
- REST, SOAP, Bulk API, Composite API, OAuth 2.0, Named Credentials
- Platform Events, Change Data Capture, MuleSoft, External Services
- CI/CD with Salesforce DX, DevOps Center, GitHub Actions
YOU SHIPA fully tested Salesforce app with multi-system integrations and a Git-driven
CI/CD pipeline replacing manual change sets.
WEEKS 11–12 · Agentforce Sales + Service (full-width)
Deploy Agentforce agents that automate the full customer lifecycle across Sales and Service.
Use Atlas Reasoning Engine, the Einstein Trust Layer, Prompt Builder, and Data Cloud grounding. Build SDR Agents, Sales Coach, Autonomous Service Agents, and custom Agent actions wired through Flow. Your project connects platform, custom development, integrations, and Agentforce into one production-ready Salesforce solution with a public verification URL.
Partner orgs
(2026)48
Projects
deployed280+
→ Placement
offers82%
Course curriculum
Seven sections. 65+ modules. The AI-native Salesforce & Agentforce stack.
01
Salesforce Platform Admin
Foundational track covering platform architecture, security, data modeling,
automation with Flow, reports and dashboards, AI & Agentforce, DevOps, and admin productivity.
Aligns with the Salesforce Administrator (ADM 201) certification path.
Salesforce platform architecture and multi-tenant cloud infrastructure
Multi-cloud ecosystem — Sales, Service, Marketing, Commerce, Data Cloud
The Now Platform in the AI era — how Salesforce operates with Agentforce
Agentforce capabilities, Einstein intelligence, and Data Cloud integration
Developer org configuration and Personal Developer Edition setup
Admin career pathways and certification roadmap
Key learning outcomes — platform fundamentals, AI integration, modern admin
opportunities
Org Configuration — business hours, fiscal year, currencies, localization for
global ops
User Management — Profiles, Permission Sets, delegated administration, role-based
access
Security Framework — MFA, SSO, Organization-Wide Defaults (OWD), role hierarchy,
sharing rules
Data Protection — Object, Field, and Record-level security configurations
Security as the foundation of trust — every configuration decision impacts data
protection
Object Design — Standard and Custom objects, Schema Builder for visual
architecture
Field Configuration — field types, formulas, roll-up summaries, picklist
dependencies
Relationships — Master-Detail, Lookup, and Junction objects for complex
structures
Page Layouts — record types, validation rules, and UI customization
Data integrity, business logic automation, and performance considerations
Data Import — Data Import Wizard and Data Loader for bulk operations
Data Export — weekly export schedules, manual backup procedures, archiving
strategies
Quality Management — duplicate management, validation rules, data cleansing
AI Readiness — data completeness and consistency checks for intelligent
automation
AI-powered features require high-quality data — invest in cleansing to maximize
Agentforce value
Page Types — App, Home, and Record pages with dynamic components
Dynamic Forms — field-level visibility, conditional rendering, action
configuration
Custom Apps — navigation customization, branding, mobile-optimized deployment
Drag-and-drop interface and component library
Mobile responsiveness and dynamic visibility patterns
Record-Triggered Flows — automatic actions when records are created or updated
Scheduled Flows — time-based automation for batch processing
Screen Flows — guided user experiences with dynamic forms
Approval Processes — multi-step approval workflows with routing
Flow Elements — Assignment, Decision, Loop, CRUD operations
Legacy Migration — transitioning from Workflow Rules and Process Builder to Flow
Report Types — Tabular (lists), Summary (grouping), Matrix (cross-tab), Joined
(multi-object)
Advanced Features — filters, grouping, bucket fields, custom formulas, dynamic
dashboards
20+ dashboard components — charts, tables, metrics, gauges
Best practices for report design, filtering strategies, and dashboard composition
Delivering actionable insights to stakeholders
Architecture — Atlas Reasoning Engine, Einstein Trust Layer, licensing, and
Einstein Copilot setup with permissions
Agent Builder — Service and Sales agents with topics, instructions, and custom
actions using Flow
Prompt Builder — Templates, variables, grounding, and Data Cloud integration for
knowledge bases
Security & Deployment — Trust Layer, privacy, compliance, multi-channel
deployment, and performance monitoring
Agent Lifecycle: Setup (configure licensing) → Build (create agents with topics)
→ Test (validate responses) → Deploy (launch across web, mobile, Slack) → Monitor (track
performance)
Sandbox Management — Developer, Developer Pro, Partial Copy, and Full sandboxes
Change Sets — deployment connections, inbound/outbound change sets, dependency
management
DevOps Center — Git-based development, automated pipelines, version control
integration
Testing & Release — UAT, regression testing, test data management, release
monitoring
Deployment Tools — Change Sets, DevOps Center, Metadata API for reliable
deployments
Best practices — version control, testing strategies, release management
protocols
Chatter & Collaboration — social collaboration, groups, feeds, real-time
communication
Activity Management — tasks, events, calendar, Outlook and Gmail synchronization
Content Management — files, libraries, content delivery, version control
AppExchange — managed packages, app installation, third-party integration
Performance Optimisation — query optimisation and resource management
Certification Preparation — practice questions, study guides, project project
Project — Build an end-to-end Salesforce org with AI agent integration
02
Salesforce Apex with Agentforce
Deep dive into Apex development — from language fundamentals and collections
through SOQL queries, triggers, async patterns, custom APIs, testing, and ending with Agentforce
integration for building AI-powered backend solutions. Aligns with the Platform Developer I (PD I)
certification.
Force.com architecture — SaaS, PaaS, IaaS concepts and cloud computing models
Apex Syntax — data types, variables, operators, expressions
Access Modifiers — Private (defining class only), Public (namespace/app), Global
(all namespaces)
Control Flow — conditional statements, loops, switch statements
Building blocks for robust Salesforce applications
List Collections — ordered collections with add, remove, access methods
Set Collections — unordered unique values, set operations, duplicate prevention
Map Collections — key-value pairs, iteration techniques, efficient lookup
Nested collections for complex data structures
Performance tips — Maps for lookups, Sets for uniqueness, Lists for ordered data
Bulkification patterns and avoiding nested loops
Core DML — Insert (create records), Update (modify records), Delete (remove
records), Undelete (recover from recycle bin), Upsert & Merge (insert or update, combine
duplicates)
Exception Handling — DML exception types, error messages, graceful failure
Database Class — partial success with allOrNone, Database.insert/update/delete
methods
Governor Limits — understanding limits, bulkification patterns, large data volume
best practices
SOQL — SELECT statements, WHERE clauses, ORDER BY & LIMIT, Aggregate Functions
(COUNT, SUM, AVG, MIN, MAX, GROUP BY, HAVING)
SOSL — full-text search across multiple objects for keyword-based retrieval
When to use each — SOQL for precise filtering on known objects; SOSL for
cross-object text search
Parent-to-Child — query child records from parent using subqueries
Child-to-Parent — access parent fields from child records using dot notation
Multi-Level — traverse multiple relationship levels in a single query
Standard Objects — relationships like Account → Contacts → Opportunities
Custom Objects — relationship queries with __r suffix and junction objects
Polymorphic queries — fields referencing multiple object types (Owner, What)
Query optimization — selective filters, indexed fields, large data volume tuning
Trigger Events — Before Insert (validate before saving), After Insert (create
related records), Before Update (enforce business rules), After Update (update related records),
Delete & Undelete (handle deletion and restoration)
Context Variables — Trigger.new, Trigger.old, Trigger.newMap, Trigger.oldMap,
Trigger.isInsert, Trigger.isUpdate
Best Practices — one trigger per object, use handler classes, bulkify all
operations, prevent recursion with static variables
Trigger Framework — handler classes, helper methods, order of execution
Classes & Objects — fundamental building blocks of OOP
Methods — instance and static methods with overloading
Constructors — default and parameterised constructors for object initialisation
Inheritance — code reuse through parent-child relationships
Polymorphism — abstract classes, virtual methods, method overriding
Interfaces — contracts for implementing classes
Inner Classes — wrapper classes, enums, nested class structures
Exception Handling — try-catch-finally and custom exceptions
Future Methods — @future annotation for async processing and callouts with
separate governor limits
Batch Apex — Database.Batchable interface for processing large data volumes in
chunks
Queueable Apex — System.Queueable for chaining jobs and complex async logic
Scheduled Apex — Schedulable interface for time-based automation and recurring
jobs
REST Integration — HTTP callouts, JSON parsing, REST API consumption,
@RestResource web services
SOAP Integration — WSDL consumption, SOAP callouts, webService keyword,
enterprise auth
Platform Events — event-driven architecture for real-time integration
Authentication — OAuth, API keys, security best practices
Test Fundamentals — @isTest annotation, test methods, test data creation patterns
Test Data — @testSetup, test data factory pattern, System.assert methods
Coverage Analysis — achieving the 75% minimum requirement, testing all code paths
Mock Callouts — HttpCalloutMock for testing integrations without external
dependencies
Testing triggers, classes, controllers, and asynchronous Apex
Debugging Tools — debug logs, Developer Console, VS Code debugging, log analysis
Deployment — change sets, Metadata API, Salesforce DX, CI/CD with GitHub Actions
or Jenkins
Agent Builder — configure service and sales agents
Custom Actions — @InvocableMethod for Agentforce integration
Flow Integration — connect agents with business processes
Prompt Templates — grounding and data retrieval for context-aware responses
Agent API — programmatic agent control
Einstein GPT — generative AI integration, prompt engineering best practices,
model configuration
Security — data access patterns and performance considerations
Real-World Projects — customer service agents, sales assistants, business process
automation, analytics monitoring
03
Salesforce LWC & JavaScript
Full front-end development track — HTML5, CSS3 with SLDS, modern JavaScript
(ES6+), Lightning Web Components from basics through advanced patterns, and ending with Jest testing
plus Agentforce-powered AI components. Aligns with the Platform Developer I/II tracks.
Document Structure — HTML syntax, elements, proper document organization
Content Elements — text, lists, links, images, media, tables, forms
Semantic HTML5 — modern elements for meaningful structure and SEO
Accessibility — a11y basics, ARIA attributes, inclusive design
CSS Fundamentals — syntax, selectors, properties, box model, backgrounds,
borders, shadows
Layout Systems — display properties, positioning, Flexbox, CSS Grid, responsive
design with media queries
SLDS Integration — Lightning Design System utility classes, components, Shadow
DOM styling
Advanced CSS — animations, transitions, transforms, modern CSS features for
engaging interfaces
Creating responsive, beautiful interfaces consistent with the Salesforce design
language
Variables & Types — var, let, const declarations, data types, operators,
conditional logic
Functions — declarations, expressions, arrow functions, modern function patterns
Arrays & Objects — methods, iteration, manipulation, properties, destructuring,
spread operator
Modern JavaScript syntax that powers interactive Salesforce applications
Async JavaScript — Promises, async/await, error handling
Fetch API — HTTP requests and response handling
OOP — classes, prototypes, inheritance
Modules — imports, exports, code organization
Higher-Order Functions — closures, callbacks, functional programming patterns
Data Handling — JSON parsing, LocalStorage, SessionStorage, client-side data
management
Node.js & npm — package management and JavaScript runtime environment
Code Quality — ESLint and Prettier for consistent, error-free code
Version Control — Git fundamentals and GitHub collaboration workflows
Debugging — Chrome DevTools and VS Code debugging techniques
Enterprise-level development workflow setup
LWC Architecture — web standards, component structure, HTML templates, JavaScript
controllers, CSS styling
Development Setup — Salesforce CLI, VS Code extensions, Salesforce DX project
configuration
Core Concepts — Decorators (@api, @track, @wire), lifecycle hooks, event
handling, base components
LWC vs Aura — web standards alignment and migration considerations
Data Binding — reactive properties, @api decorator, getters, computed values for
dynamic interfaces
Conditional Rendering — if:true, if:false, lwc:if, lwc:elseif, lwc:else
List Rendering — for:each and iterator directives for displaying collections
efficiently
Forms & Validation — input handling, validation patterns, user feedback
mechanisms
Component Events — creating and dispatching custom events
Parent-Child Communication — patterns and data flow
Composition — slots and dynamic components (lwc:dynamic)
Lightning Data Service — wire service and LDS fundamentals
Wire Adapter — getRecord, getRecords, getFieldValue
Apex Integration — @AuraEnabled methods and wire Apex
Data Operations — create, update, delete with LDS
LMS (Lightning Message Service) — pub/sub for cross-component communication,
message channels
Platform Events — real-time event-driven architecture
Navigation — NavigationMixin, URL parameters with CurrentPageReference
Third-Party Libraries — integrating Chart.js, D3.js with static resources
Optimisation — performance tuning and caching
Security — Lightning Web Security (LWS), CRUD, FLS enforcement
Publish-subscribe patterns for loosely coupled architectures
Jest Testing — @salesforce/sfdx-lwc-jest setup, test writing, coverage
requirements
Test Scenarios — component rendering, user interactions, wire adapters, Apex
calls
Debugging — Chrome DevTools, VS Code debugging, log analysis
Deployment — Salesforce DX, DevOps Center, CI/CD pipelines
Agentforce Integration — build AI-powered LWC components, call Agentforce
actions, integrate Einstein Copilot, display AI responses
Winter '26 Features — Lightning Out 2.0 for external apps, Trusted Mode for
browser APIs, LWC in Screen Flows
Production Readiness — performance testing, security review, accessibility audit,
cross-browser and mobile testing
04
Salesforce Business Analyst
End-to-end Business Analyst track — agile foundations, stakeholder discovery,
BPMN process modeling, requirements documentation, prototyping, UAT, change management, and go-live
readiness. GenAI is woven through every module to accelerate documentation, requirements, and
insights. Aligns with the Salesforce Business Analyst certification.
BA Role — Modern business analyst responsibilities and career pathways
Agile & Scrum — Framework, roles, events, artifacts, ceremonies
User Stories — Epics, themes, acceptance criteria, backlog management
GenAI Tools — AI-powered requirements and documentation acceleration
Stakeholder Analysis — Power/Interest Grid, Influence/Impact Matrix, RACI Matrix
for effective engagement
User Personas — detailed personas and empathy maps to understand user needs and
motivations
Agile Interviews — discovery, contextual, and stand-up interviews for continuous
requirements gathering
Workshops — facilitation techniques, surveys, and GenAI for stakeholder
management
GenAI for Stakeholder Management — analyse feedback, generate interview
questions, synthesise insights
MoSCoW Method — Must/Should/Could/Won't have for clear stakeholder communication
WSJF Scoring — Weighted Shortest Job First for Agile prioritisation based on cost
of delay and duration
RICE Model — Reach, Impact, Confidence, Effort for data-driven decisions
Priority Levels — Critical (must-have for launch), High (should-have for
success), Medium (could-have for enhancement), Low (won't-have this release)
BPMN Modelling — Business Process Modeling Notation for standardised diagrams
As-Is Mapping — document current state to establish baseline understanding
SIPOC Analysis — Suppliers, Inputs, Process, Outputs, Customers for clarity
Value Stream Mapping — visualise material and information flow to identify waste
and bottlenecks
To-Be Design — create optimised future state with automation and efficiency
Customer Journey Mapping — end-to-end customer experience across touchpoints
Automation Opportunities — identify rule-based tasks suitable for RPA, workflow
engines, or AI
Hands-On Practice — create As-Is BPMN diagrams, design To-Be processes, conduct
Value Stream Mapping workshops
BRD — Business Requirements Document capturing high-level business needs and
objectives
FDD — Functional Design Document detailing system behaviour and user interactions
NFRs — Non-Functional Requirements for performance, security, and scalability
User Story Mapping — convert user stories to detailed functional requirements
Integration Scenarios — API requirements and system integration specifications
Data Modeling — schema design and data relationship documentation
Traceability — Requirements Traceability Matrix linking requirements to
objectives
GenAI Advantage — accelerate documentation, ensure consistency, generate
comprehensive requirement sets
Wireframing — low-fidelity layouts showing structure and content placement
Mockups — high-fidelity designs with colours, typography, branding
Prototypes — interactive models for usability testing and stakeholder validation
Validation — test with users and stakeholders to gather feedback and refine
designs
Design Thinking for BAs — Empathise, define, ideate, prototype, test
Prototyping Tools — Balsamiq for rapid wireframing, Figma for collaborative
design, interactive prototypes with clickable hotspots
GenAI for UI/UX — generate wireframe suggestions, design variations, and user
flow diagrams from requirements
Test Scenarios — write scenarios from requirements covering happy paths and edge
cases
UAT Planning — plan comprehensive testing approach with stakeholders and
environments
UAT Scripts — create detailed step-by-step testing instructions with expected
results
Facilitation — conduct testing sessions and document feedback in real-time
Defect Management — track and triage issues through resolution
Acceptance Criteria Validation — verify delivered functionality meets criteria
before sign-off
GenAI for Testing — auto-generate test cases from requirements, create test data
sets, produce testing documentation
Change Management — fundamentals, stakeholder communication planning, resistance
management
Training Materials — creating documentation, conducting sessions, GenAI for
content creation
User Adoption — strategies for driving engagement, communication cadence, channel
selection
Ensuring successful adoption through effective communication and resistance
management
Driving organisational transformation through systematic change management
Readiness Assessment — evaluate preparedness for deployment
Deployment Planning — coordinate cutover activities and timing
Super Care — intensive support during the initial post-launch period
Support Handoff — transition from project team to ongoing operations
Navigating the critical go-live phase with confidence
360° Business Value — comprehensive measurement of project impact and ROI
10+ KPI Types — diverse metrics for tracking success across dimensions
Continuous Improvement — optimisation through retrospectives and feedback
Data Analysis — SQL basics, Power BI, Tableau for reporting, GenAI for analysis
Process Optimisation — retrospectives, feedback loops, continuous improvement
methodologies
Career Growth — BA specialisations, certifications, professional development
pathways
05
Salesforce Testing
Comprehensive testing track covering Apex testing fundamentals, Lightning Web
Component testing with Jest, UI automation with Selenium and enterprise tools,
integration/security/performance testing, and AI-generated test cases with the Agentforce Testing
Center.
STLC — Software Testing Life Cycle phases and activities
QA vs QC — Quality Assurance and Quality Control distinctions
Testing Types — Functional, non-functional, regression, smoke, sanity
Salesforce Architecture — multi-tenancy, sandboxes, and release cycles
Coverage Requirements — 75% minimum required for production deployment; all code
paths must be tested
Test Classes — @isTest annotation, test methods, System.assert, test data factory
patterns
@testSetup for efficient test data creation
Advanced Testing — triggers, controllers, batch, scheduled, queueable, @future
Apex methods
Mock HTTP callouts using HttpCalloutMock for testing integrations without
external dependencies
Test code refactoring and maintenance for long-term quality
Manual Testing — Lightning Experience and Classic UI testing
LWC Testing — Jest framework for Lightning Web Components
Selenium — WebDriver automation and Page Object Model
Professional Tools — Provar, Copado, ACCELQ for enterprise testing
Cross-browser and cross-device test execution
Integration Testing — REST, SOAP, third-party apps, data migration, ETL
processes; Postman API testing for endpoint validation
Security Testing — Profiles, Permission Sets, OWD, sharing rules, Field-Level
Security (FLS); OWASP vulnerabilities and static code analysis
Performance Testing — JMeter, LoadRunner for load and performance testing
Governor limits, query optimisation
UAT and regression strategies
Agentforce Testing — AI-generated test cases and the Agentforce Testing Center
AI Agents — Einstein Copilot and Agentforce agent testing
Prompt Testing — prompt engineering validation
Frameworks — test automation frameworks and patterns
CI/CD Pipeline — Salesforce DX CLI, automated testing integration, DevOps Center,
best practices
DevOps Tools — Jenkins, GitHub Actions, Azure DevOps
Advanced Topics — multi-org testing, multi-cloud scenarios, AppExchange package
testing
Certification Prep — practice questions and real-world testing scenarios
06
Salesforce Integrations
Master enterprise integration patterns and the complete Salesforce API landscape
— REST, SOAP, Bulk, Streaming, Pub/Sub, GraphQL. Build custom Apex APIs, integrate with
SAP/Shopify/Stripe/ServiceNow/Slack, and complete with Agentforce 360 and MuleSoft Agent Fabric for
AI-driven enterprise connectivity.
Integration Patterns — request-response, fire-and-forget, batch sync, remote
call-in architectures
REST API — RESTful principles and HTTP methods
SOAP API — WSDL, Enterprise vs Partner
Bulk API — large data volume operations
Streaming API — real-time event notifications
Pub/Sub API — gRPC-based event streaming
GraphQL API — flexible query language (Pilot)
OAuth 2.0 — authentication flows, Connected Apps configuration
Optimisation — caching strategies, rate limiting, governor limit management
REST API Deep Dive — endpoints, CRUD, composite resources
SOAP API Deep Dive — WSDL, Enterprise vs Partner APIs
Bulk API 2.0 — jobs, operations, error handling
Platform Events — publishing, subscribing, event-driven architecture
Change Data Capture (CDC) — tracking record changes and streaming updates
Streaming API — PushTopics for real-time notifications, Pub/Sub API for gRPC
streaming
Implementation Workflow — pattern selection → API implementation → error handling
→ testing
Apex REST API — @RestResource, HTTP methods (@HttpGet, @HttpPost, @HttpPut,
@HttpPatch, @HttpDelete)
Apex SOAP API — webService keyword, WSDL generation, SOAP service development
Outbound Callouts — HTTP classes (Http, HttpRequest, HttpResponse), REST and SOAP
callouts
Named Credentials — secure callout configuration, authentication, async patterns
URL Mapping — path parameters, query strings, RESTful URL design
JSON Handling — serialization, deserialization, JSON parsing
SAP Integration — REST/SOAP APIs, OData services, ERP connectivity
Payment Gateways — Stripe, PayPal with PCI compliance and secure transactions
E-Commerce — Shopify integration, product catalog sync, order fulfillment
ServiceNow — incident creation, bi-directional sync, ITSM patterns
Slack Integration — webhooks, channels, interactive apps, real-time collaboration
Error Handling — retry logic with exponential backoff, circuit breaker pattern,
dead letter queues
Testing Integrations — mock HTTP callouts, HttpCalloutMock, Test.setMock(), async
testing
Agentforce 360 — AI agent integration with external systems
MuleSoft Agent Fabric — agent-to-agent interoperability
Agent Actions — external API integration for agents
Real-Time Data — live data for AI agent context
Integration Security — OAuth 2.0 hardening, API key management, Named
Credentials, External Credentials, HTTPS/TLS
Performance & Governance — bulkification, caching, pagination, API versioning,
documentation
Compliance — field-level encryption, audit trails, GDPR, data privacy regulations
Debugging — debug logs, Postman, Workbench, common integration issues (timeout,
authentication, JSON parsing)
07
Agentforce Sales (Formerly Sales Cloud)
AI-powered sales automation track — master the core Sales Cloud foundation
(Leads, Accounts, Contacts, Opportunities) and then deploy autonomous SDR Agents and Sales Coach
Agents that work 24/7 to qualify leads, engage prospects, and provide real-time coaching to sellers.
Leads — management, assignment rules, conversion, scoring, web-to-lead automation
Accounts — hierarchy, teams, planning, parent-child relationship management
Contacts — roles, hierarchy, multiple contacts, relationship tracking
Opportunities — stages, sales processes, teams, products, close date management
End-to-End Sales Process — Lead Generation → Opportunity Creation → Pipeline
Management → Quote & Close
Territory Management — models, assignment, hierarchies, forecasting for optimised
coverage
Sales Automation — workflow automation, approval processes, Sales Path, guidance,
cadences
SDR Agent — lead qualification and engagement, personalised multi-channel
outreach automation
Objection Handling — intelligent response generation
Next Best Action — AI-powered suggestions
Sales Coach Agent — real-time coaching and guidance for sellers, competitive
intel, deal insights and recommendations
Deployment Workflow — Configure SDR Agent (topics, instructions, qualification
criteria) → Integrate Data Cloud → Configure Sales Coach (coaching triggers, KPIs) → Deploy &
Monitor
Agentforce SDR and Sales Coach agents work 24/7, qualifying leads, engaging
prospects, and providing real-time coaching
08
Agentforce Service (Formerly Service Cloud)
Intelligent customer service track — master case management, knowledge bases,
omni-channel routing, and SLA management, then deploy Autonomous Service Agents with the Trust Layer
that resolve cases 24/7 with multi-turn conversations and seamless human handoff.
Cases — management, assignment rules, auto-response, escalation, web-to-case,
email-to-case
Knowledge — articles, types, templates, publishing workflow, categories, search
Service Console — navigation, keyboard shortcuts, macros, utility bar,
productivity tools
SLA Management — entitlement processes, milestone tracking, violation alerts
Case Lifecycle — Case Creation → Case Routing (assignment rules, omni-channel,
skills-based) → Case Resolution (knowledge articles, macros) → Case Closure (satisfaction,
feedback)
Service Agent Capabilities — autonomous case resolution, 24/7 support, knowledge
search, automatic case management, seamless human handoff
Topics & Instructions — resolution criteria, guardrails, knowledge base
integration
Service Topics — account management, order status, billing, technical
troubleshooting, intent classification
Agent Actions — create case, update case, search knowledge, escalate to human,
custom actions
Multi-Turn Conversations — natural dialogue flow with context retention for
complex inquiries
Trust & Compliance — Trust Layer, data security, GDPR, CCPA, HIPAA compliance,
audit trails
Tools you'll master
25+ Salesforce & AI tools, one production project.
Real-time projects
You don't watch videos. You ship software.
Three full-production projects, each threaded through the entire curriculum. By the project, you've built the whole stack around them.
Hero project · weeks 3–12
Service Cloud agent on Agentforce
Build an end-to-end Service Cloud workspace — Omni-Channel intake, Flow Builder routing, and an Agentforce agent grounded on Data Cloud + Atlas Reasoning that summarises cases, drafts replies, and closes tier-1 tickets without a human in the loop.
01Live Service Cloud org with Case, Account, and Contact workflows wired through Flow Builder and entitlements.
02Omni-Channel intake from web, email, WhatsApp, and Slack — routed to the right queue with skills-based assignment.
03Agentforce agent grounded on Data Cloud knowledge that summarises cases, drafts customer replies, and auto-fills work notes.
04Atlas Reasoning agent that closes recurring tier-1 cases — password resets, return RMAs, status questions — with zero human touch.
Outcome: ~58% case deflection
Avg. resolution: −45%
Reviewer: Summit Partner panel
Service CloudAgentforceData CloudAtlas ReasoningFlow Builder
Enterprise · weeks 6–11
Sales Cloud + Einstein revenue copilot
Ship an opportunity-to-cash flow on Sales Cloud with Einstein Prediction Builder forecasting close probability, an Agentforce SDR agent that drafts emails and books meetings, and a CPQ flow that configures quotes against live Data Cloud signals.
Sales CloudEinsteinAgentforceCPQ
Real-time · weeks 8–12
Data Cloud unification stream
Stream events from MuleSoft, Heroku, and external apps into Data Cloud, unify identities into a 360° profile, and auto-trigger Marketing Cloud journeys plus an Atlas Reasoning agent that explains every segment shift to ops.
Data CloudMuleSoftMarketing CloudAtlas Reasoning
Project · weeks 11–12
Your AI Salesforce agent in a real partner org.
Pick a real partner workflow. Deploy a production agent into a Salesforce org — Agentforce + Atlas Reasoning + Data Cloud — that handles cases, drafts updates, and accelerates service & sales resolution.
Download the real world project
Full scope, sample partner orgs, weekly milestones, and grading rubric — PDF, 14 pages.
2026: 220+ deployed76% → placement offers
Your instructor
Taught by engineers who shipped agentic AI to production.
MK
Manikanta Kona
Founder, Digital Lync · Principal Salesforce & Agentforce Architect
Salesforce · Agentforce · Atlas Reasoning · Data Cloud · Apex · LWC
"Salesforce at enterprise scale is where AI agents earn their keep — Agentforce
grounded on Data Cloud, Atlas Reasoning orchestrating Sales, Service, and Marketing as one fabric. That's the
bar I teach to, every cohort."
15 yrs
SALESFORCE
2,400+
LEARNERS
4.9 /5
RATING
Manikanta is the founder of Digital Lync and brings 15 years of enterprise platform architecture from AT&T, Salesforce, Cox Communications, and Broadcom — where he led Sales Cloud, Service Cloud, Marketing Cloud, and Data Cloud rollouts for Fortune-500 banks, telcos, and insurers. Most recently he architected production Agentforce + Atlas Reasoning deployments that replaced traditional triage tiers with autonomous case-handling.
His classes get you two things other programs don't give you: a founding architect who's shipped enterprise Salesforce + AI from inside the Fortune 500, and a curriculum rewritten every release — so when hiring managers ask about Data Cloud harmonisation, Agentforce sub-flows, or Atlas Reasoning orchestration, you've already built it. M.S. in Engineering, Purdue University.
RK
Ravi Krishna
Chief Technologist, Digital Lync · Agentforce Lead
Agentforce · Atlas Reasoning · Data Cloud · Apex · LWC · Flow Builder · OmniStudio
"Agentforce is where Salesforce stops being a CRM and starts being the
decision layer of the enterprise — Atlas Reasoning planning multi-step actions, Data Cloud feeding
grounded context in real time, and Apex/LWC turning agent decisions into production behaviour. That's
what I teach."
10 yrs
SALESFORCE & AGENTS
1,800+
LEARNERS
4.8 /5
RATING
Ravi is Chief Technologist at Digital Lync, where he leads the Agentforce and Salesforce engineering practice. After 8 years building production Apex, LWC, and integration pipelines on Sales Cloud and Service Cloud, he stepped into the Chief Technologist seat to wire Agentforce, the Atlas Reasoning Engine, and Data Cloud into the way revenue and service teams actually work — autonomous agents that resolve cases, qualify pipeline, and stitch together Sales, Service, Marketing, and Data Cloud without humans being the integration layer.
His Agentforce modules are built from real production rollouts, not slide decks. Expect to leave with working Agentforce Builder agents grounded on Data Cloud, Flow Builder orchestrations, OmniStudio guided flows, and Apex + LWC components that recruiters can actually verify in your dev org. Ten years on the Salesforce stack, eight of them shipping in production — Hyderabad-based, hands-on, and known for the unglamorous integration work everyone else skips.
HIRING PARTNERS · INDUSTRY VOICES
What Salesforce employers say about Digital Lync grads.
Real feedback from talent leaders at Salesforce Summit / Crest Partners and the firms hiring our Salesforce + Agentforce graduates.
Digital Lync grads ramp 40% faster on Agentforce projects than typical hires. Best Salesforce training pipeline in India.
Aakash Mehta, Partner Programme Lead, Salesforce
We've onboarded 80+ Digital Lync alumni in 18 months. Lowest ramp time we've seen for Salesforce plus Agentforce practices.
Anita Sharma, Senior Manager, Deloitte
The Salesforce programme is comprehensive — Admin, Platform Developer I & II, plus Agentforce flows. Grads come pre-trained for enterprise.
Rahul Bhatt, Solutions Lead, Mphasis
Their Service Cloud + Einstein track produces engineers who write production-grade Apex and Flow Builder flows on day one. Genuinely rare.
Deepak Pillai, Senior Architect, TCS
What sets Digital Lync apart is the Agentforce + Atlas Reasoning layer baked into the Salesforce track. Our enterprise clients ask for exactly this profile.
Suresh Menon, Practice Lead, Accenture
Their Salesforce Administrator + Platform Developer prep is rigorous, and the project Agentforce deployment on a real dev org is what closes interviews for us.
Vikram Iyer, Director, Infosys
Digital Lync's Salesforce grads close cases twice as fast in the first 90 days on Service Cloud + Einstein. Our internal metrics back this up clearly.
Lakshmi Nair, VP Engineering, Wipro
Best Salesforce + Agentforce pipeline we've sourced from in India. Their projects are production work on real dev orgs, not toy code.
Karthik Subramanian, Engineering Director, Cognizant
Strong Marketing Cloud and Experience Cloud foundation. Their Salesforce grads need almost zero ramp time on enterprise engagements with us.
Arun Joshi, Practice Director, Capgemini
We've placed 40+ Digital Lync alumni across our Salesforce and watsonx-on-Salesforce teams. Strong fundamentals, sharp on the Agentforce stack.
Sanjay Verma, Talent Director, IBM
Data Cloud + Einstein Prediction Builder is exactly the talent gap we've been struggling to close. Digital Lync is filling it for us reliably.
Anjali Desai, Practice Head, LTIMindtree
Their Salesforce track delivers consultants who navigate Sales Cloud, MuleSoft, and Flow Builder on customer engagements unsupervised.
Ramesh Iyer, Senior Manager, Tech Mahindra
Hired 25+ Digital Lync graduates for our Salesforce practice. Strong Apex, strong platform depth, sharp on the Agentforce layer.
Geetha Pillai, Talent Acquisition Lead, Cyient
Digital Lync grads who blend Agentforce with Azure OpenAI land production-ready on day one. Rare combination, well-trained.
Priya Reddy, Talent Lead, Microsoft
03Program certifications
An Agent‑Ready credential, not a participation trophy.
Digital Lync · Institute Certificate
Agent‑Ready Salesforce Engineer
Presented to
Spandana Bala
For the successful design, build, and production deployment of an AI agent on
the Salesforce Agentforce + Atlas Reasoning Engine + Data Cloud platform, evaluated against the 2026
Agent‑Ready rubric and Salesforce Administrator / Platform Developer I & II / Agentforce Specialist
competencies.
Manikanta Kona
CEO · Digital Lync
AGENT
READY
2026
READY
2026
01
Industry‑recognized
Co‑branded with the Salesforce Summit / Crest Partner ecosystem and mapped to
Salesforce Administrator, Platform Developer I & II, and Agentforce Specialist — names that
hiring managers already scan for on resumes.
02
Project artifact included
Every certificate carries your project project name, the partner org, and a link to
the deployed Agentforce + Atlas Reasoning + Data Cloud artifact — proof, not a promise.
03
Enhanced skill validation
Graded against the 2026 Agent‑Ready rubric: Sales/Service Cloud design, Flow Builder
+ Apex build, Agentforce deployment, safety and monitoring. No pass/fail — a level 1‑5 band.
04
Verifiable on a public URL
Each credential has a public verification page recruiters can check in 10 seconds — no PDF
back‑and‑forth.
04Job placement support
Your first Salesforce offer isn't a lottery ticket. It's a built process.
GitHub, LinkedIn, resume — and most importantly, warm intros into Salesforce Summit and
Crest Partners. Our placement team works your search like an account, not a helpdesk.
01 / GITHUB PROFILE
A portfolio, not a graveyard.
Guidance on building a GitHub that showcases your unlocked packages, Agentforce + Atlas Reasoning project, Flow Builder flows, Apex + LWC components, and a working dev org link — reviewed 1:1, not via template.
02 / RESUME PREP
Rewrite, don't proofread.
A one-page resume rebuilt around the Salesforce clouds you implemented (Sales, Service, Marketing, Data Cloud), the Agentforce agent you deployed, and the business outcome. Reviewed by engineers who've read 10,000+ resumes.
03 / LINKEDIN + INTROS
Where most opportunities actually live.
Profile tuning plus direct warm introductions into the Salesforce Summit + Crest Partner network — Deloitte, Accenture, Cognizant, Capgemini, Slalom, Persistent, IBM, Wipro. You leave with recruiter contacts, not a generic "good luck."
Salesforce alumni
Hundreds of Salesforce careers launched — here are eight.
NV
Naveen Vedala
Apex Developer
Hyderabad · India
Now at · TCS
TA
Tejashwini Addla
Agentforce Specialist
Hyderabad · India
Now at · Deloitte
TD
Tharunesh Dillikar
Service Cloud Consultant
Seattle · United States
Now at · Salesforce
MM
Mujahed Mohammed
Marketing Cloud Engineer
Hyderabad · India
Now at · Accenture
BK
Bhargav Kumar Murala
Data Cloud Architect
Hyderabad · India
Now at · Capgemini
SL
Sai Manasa Leburi
OmniStudio Developer
New York · United States
Now at · Slalom
RD
Rahul Dhamma
Sales Cloud Lead
Hyderabad · India
Now at · Cognizant
Our locations
Come chat with us — over coffee, or over Zoom.
One flagship campus in Hyderabad, plus online Salesforce classes running on Indian and US timezones.
Flagship campus
Hyderabad
2nd Floor, Hitech City Road · Above Domino's · Opp. Cyber Towers, Jai Hind Enclave ·
Hyderabad, Telangana
Call
+91 90003 29956
US desk
+1 858 666 6719
Hours
Mon–Sat · 9am–9pm
Online class
Global
Weekend and evening Salesforce cohorts running on IST and PST. Every online cohort ships
the same three production projects and the Agentforce + Atlas Reasoning + Data Cloud project as the
on‑campus track, with Trailhead modules running alongside live training.
Timezones
IST & PST
Format
Live + Trailhead + 1:1 mentorship
Next class
25 May 2026
FAQ
Questions we actually get — answered honestly.
Straight answers on prerequisites, the platform, certifications, and placement. If something's missing, book a 20-minute advisor call — no slides, no pitch.
Do I need a CS background or prior CRM/Sales experience?
No on both counts. About 40% of every cohort comes from non-CS streams — mechanical, electrical, BCom, BBA — and zero Salesforce or CRM exposure is assumed. Weeks 1–2 cover the platform data model, Setup, and declarative tooling from scratch. What you do need: consistency and 12–15 hours a week.
Do I get a real Salesforce dev org to build on?
Yes. Every learner provisions a free Developer Edition org and a scratch org from week 1 and keeps them for the full program. Every lab, project, and the project are built on your own live tenant — not a sandbox simulator — so the artifacts you ship are demonstrable to recruiters.
Are Salesforce Administrator and Platform Developer I & II covered?
Yes. The curriculum is mapped to Salesforce Administrator and Platform Developer I; the advanced track also preps Platform Developer II and the Agentforce Specialist credential. We run two full mock exams and reimburse the voucher fee on first-attempt pass.
Will I actually build with Agentforce, Atlas Reasoning, and Data Cloud?
You actually build. The Agentforce track is hands-on — you'll design agents in Agentforce Builder, ground them on Data Cloud, orchestrate multi-step actions on the Atlas Reasoning Engine, wire Einstein Prediction Builder for classification, and deploy your project agent into a real dev org. Nothing in the agent track is theory-only.
What's the time commitment per week?
Plan for 12–15 hours: 2 live classes × 2 hours, 1 lab × 3 hours on your dev org, and ~5 hours of project work. Saturday office hours with the TA team are optional, but most learners use them.
Is placement support really 1:1, and which companies hire?
Yes — a dedicated placement advisor from week 8, not a helpdesk. Salesforce hiring partners include Deloitte, Accenture, Cognizant, Capgemini, Slalom, Persistent, IBM, and Wipro, plus the wider Salesforce Summit / Crest Partner network. Resume, LinkedIn, mock interviews, and warm intros are individual.
Online, weekend, or on-campus?
All three. On-campus at the Hyderabad flagship, live online (IST and PST cohorts), and a weekend track for working professionals. Every format ships the same three projects and the same Agentforce + Data Cloud project — only the schedule changes.
What if I fall behind, or can't continue mid-class?
Freeze your seat for up to 90 days and rejoin the next class — no extra fee. TAs run catch-up sessions every Saturday for anyone more than a week behind, and recordings of every live session are available for the lifetime of your account.
Still have a question? Talk to an advisor — no slides, no pitch.
Class SF-022 starts 25 May 2026.
40 seats. 12 already claimed.
Book a 20-minute advisor call. We'll walk through the curriculum, match it to your current role, and show you two real projects from class 022.
