SB
Spandana Bala
Salesforce Administrator
Hyderabad · India
Now at · Infosys
Salesforce · Revenue Cloud · CPQ · Billing · Agentforce quoting · Enrolling now
Salesforce Revenue Cloud
A career-focused, hands-on program: build strong product catalog, pricing and quoting foundations on Revenue Cloud, then specialise in contracts, orders, billing, invoicing and revenue recognition — with Agentforce quoting agents and Data 360 the way finance and sales teams now run quote-to-cash.
100K+
alumni community
1,000+
hiring partners
4.8/5
avg class rating
12
partner centres
7
Digital Edify centres
Where our Salesforce & Agentforce alumni work
Microsoft
Amazon
Salesforce
ServiceNow
Deloitte
Infosys
Accenture
TCS
Wipro
Capgemini
Cognizant
HCL
MicrosoftAmazonSalesforceServiceNowDeloitteInfosysAccentureTCSWiproCapgeminiCognizantHCL
Direct answer
What is the Salesforce Revenue Cloud program?
A Revenue Cloud specialist configures the whole quote-to-cash lifecycle — catalog, pricing, quoting, contracts, orders, billing and revenue recognition — and now the Agentforce agents that quote, renew and collect. Most CPQ courses end at a quote PDF. This program ends only when your catalog prices correctly under rules and discounts, quotes flow to contracts, orders, invoices and recognised revenue, the ERP reconciles, and Agentforce quoting agents run under approval guardrails.
The complete delivery chain
Twelve links, one owner — end to end.
01CATALOG & PRICE
- •Product Catalog Management & bundles
- •Attributes, qualification & configuration rules
- •Price books, pricing procedures & discount schedules
- •Approvals & deal desk policy
02QUOTE & CONTRACT
- •Quote configurator & Transaction Manager
- •Quote documents, e-signature & templates
- •Contracts, obligations & amendments
- •Orders, assets & renewals
03BILL & RECOGNISE
- •Billing schedules, invoicing & payments
- •Usage, subscriptions & collections
- •Revenue recognition — ASC 606 / IFRS 15
- •ERP integration, reporting & Agentforce quoting
AI in Salesforce · Dreamforce '26
Quote-to-cash moved onto the core platform and agents. Revenue roles moved with it.
Revenue Cloud (Revenue Lifecycle Management)Core platform
The new Revenue Cloud built natively on the Salesforce platform — Product Catalog Management, pricing procedures, Transaction Manager, contracts, billing and revenue recognition on one data model. The direction of every new implementation.
Salesforce CPQ & Billing (legacy)Installed package
Still the engine of most existing quote-to-cash orgs and the skills many job posts ask for. Understanding it — and how to migrate it — is a hiring advantage.
Agentforce for RevenueNew '26
Quoting, renewal and collections agents that configure bundles, apply pricing and discount policy, draft quotes and chase invoices from a natural-language ask — inside approval guardrails.
Data 360 & Zero CopyGoverned context
Unified customer, usage and entitlement data with Zero Copy to Snowflake, BigQuery and AWS — grounding for usage billing, renewal agents and revenue forecasting.
Trust Layer, Guardian & ApprovalsGovernance layer
Masking, audit trail and Zero Data Retention across model providers plus approval and margin controls — the evidence finance and audit expect before an agent touches pricing.
Slackforce & Claudeforce for deal desksNew '26
Deal approvals, quote status and pipeline pinned into Slack channels, and Salesforce in Claude for sellers — quote-to-cash where sales and finance teams actually work.
What this means for your career: revenue cloud roles increasingly ask for Revenue Lifecycle Management, billing and revenue recognition alongside CPQ — the differentiator is an end-to-end quote-to-cash build that reconciles with finance and runs Agentforce quoting under guardrails, not a CPQ certificate alone.
Who should join
Built for people moving into quote-to-cash and revenue operations.
Salesforce admins & consultants
Sales operations & deal desk staff
Finance, billing & revenue accountants
CPQ specialists moving to Revenue Cloud
ERP / order-to-cash consultants
Graduates targeting RevOps roles
Prior experience: Salesforce or finance familiarity helps; no coding required. The program builds platform and catalog foundations before billing, revenue recognition and Agentforce quoting.
What you will be able to do
Run quote-to-cash — and let agents quote safely.
Model the catalogProduct Catalog Management — products, bundles, attributes, qualification and configuration rules.
Price and discountPrice books, pricing procedures, discount schedules, approvals and deal desk policy.
Quote and contractTransaction Manager, quote documents, e-signature, contracts, amendments and renewals.
Bill and recognise revenueBilling schedules, invoicing, payments, usage, ASC 606 / IFRS 15 and ERP reconciliation.
Run Agentforce for RevenueQuoting, renewal and collections agents with Prompt Builder and approval guardrails.
Migrate and governSalesforce CPQ to Revenue Cloud migration, DevOps Center releases, reporting and audit evidence.
Course curriculum
Twelve sections. 48 modules. Catalog → Price → Quote → Contract → Bill → Recognise.
01
Salesforce Platform & the 2026 Revenue Stack
Where Revenue Cloud sits in the four-layer stack, the products that exist today and where a revenue specialist works in each.
Leads, accounts, opportunities and products as revenue data
Customer 360 apps and how Revenue connects to Sales, Service and Commerce
Editions, licences and Revenue Cloud packaging
Revenue Cloud career pathways and certifications
Data 360 — integration, federation and harmonization
Customer 360 — apps, semantics and workflow intelligence
Agentforce — quoting, renewal and collections agents
AIforce — Claudeforce, Slackforce and Coworker for sellers and deal desks
Revenue Cloud (Revenue Lifecycle Management) on the core platform
Salesforce CPQ and Billing — installed packages
Industries CPQ / OmniStudio (overview)
Choosing the right product for a customer
Opportunities, products, price books and quotes in core
Flow Builder and approval processes basics
Reports and dashboards for pipeline and bookings
Setting up a Developer Edition org
Guardian and Zero Data Retention for pricing data
Einstein Trust Layer — masking, audit trail
Approval and margin controls as AI guardrails
What finance and audit will ask
02
Quote-to-Cash Process Foundations
Know the business process before you configure it.
Lead-to-quote, quote-to-order, order-to-cash
Roles — sales, deal desk, finance, legal, operations
Subscription, usage and one-time revenue models
KPIs — bookings, billings, ARR, DSO
List, contracted and negotiated pricing
Discounting policy and approval matrices
Deal desk operating model
Margin protection
Contract types, terms and obligations
Amendments, co-terming and renewals
E-signature and clause libraries
Compliance and audit trail
ASC 606 and IFRS 15 five-step model
Performance obligations and allocation
Deferred revenue and schedules
Why finance owns the last mile
03
Product Catalog Management
Model products so pricing, quoting and billing follow automatically.
Catalogs, categories and products
Product selling models — one-time, term, evergreen, usage
Product classifications and attributes
Product relationships and components
Bundles, options and component groups
Attribute-based configuration
Configuration rules and constraints
Testing the configurator
Product qualification rules
Availability by segment, region and channel
Decision tables in Revenue Cloud
Rule testing and documentation
Catalog design standards
Loading catalog data at scale
Versioning and change management
Catalog quality for agents
04
Pricing & Discounting
Pricing procedures that price right every time.
Standard and custom price books
Currency and multi-currency pricing
Tiered and volume pricing
Price book governance
Pricing procedures and steps
Pricing elements, adjustments and attribute-based pricing
Decision tables for pricing
Debugging pricing outcomes
Discount schedules and tiers
Promotions and coupons
Approval processes and advanced approvals
Margin visibility for sellers
Usage-based pricing and rate cards
Subscription terms and proration
Ramp deals and co-terming
Testing complex pricing scenarios
05
Quoting & Transaction Manager
From opportunity to signed quote.
Creating quotes from opportunities
Product Configurator and Transaction Manager
Quote line editing and adjustments
Quote validation
Document templates and generation
Terms and conditions
E-signature integration
Quote versioning
Approval routing on quotes
Deal desk collaboration in Slack
Escalations and SLAs
Audit trail
Quoting agent — bundle, price and draft from a natural-language ask
Actions on catalog, pricing and quote APIs
Approval guardrails and margin limits
Testing Center and go-live
06
Contracts, Orders & Asset Lifecycle
Turn signed quotes into contracts, orders and managed assets.
Contracts and contract line items
Obligations and entitlements
Contract activation and lifecycle
Reporting on contract value
Orders and order products from quotes
Order activation and fulfilment status
Order Management integration (overview)
Exceptions and holds
Asset creation and asset lifecycle
Amend, renew and cancel flows
Co-terming and mid-term changes
Renewal opportunities and forecasting
Renewal agent — identify, price and draft renewals
Grounding in asset and usage data from Data 360
Guardrails and human handoff
Measuring renewal uplift
07
Billing, Invoicing & Payments
Bill accurately and collect on time.
Billing policies and treatments
Billing schedules and schedule groups
Billing periods and proration
Billing for one-time, term and usage
Invoice generation and runs
Invoice lines, taxes and adjustments
Credit and debit memos
Invoice delivery
Payment gateways and methods
Payment application and allocation
Collections and dunning
Agentforce collections agent (overview)
Usage ingestion and rating
Rate cards and tiered usage
Usage summaries and invoicing
Data 360 for usage data
08
Revenue Recognition & Finance Integration
The last mile finance owns — make it reconcile.
Revenue treatments and policies
Revenue schedules and recognition rules
Deferred revenue and allocation
Period close
Bookings, billings and revenue reporting
Deferred revenue waterfall
Reconciling to ERP and GL
Audit evidence
Integrating SAP, Oracle, NetSuite and Workday Financials
MuleSoft and integration patterns
Data mapping and error handling
Testing end to end
Tax engines — Avalara, Vertex
Multi-currency and multi-entity
Regulatory and e-invoicing requirements
Controls and segregation of duties
09
Salesforce CPQ (Legacy) & Migration
Support the installed base and lead the migration.
Products, bundles and product rules
Price rules and discount schedules
Quote templates and approvals
Contracted pricing and renewals
Billing rules and invoice scheduling
Payments and revenue schedules
Common configurations
Known limitations
Assessment and migration strategy
Catalog and pricing migration
Coexistence and cutover
Change management for sellers and finance
CPQ Specialist exam objectives
Revenue Cloud Consultant objectives
Practice scenarios
Study plan
10
Agentforce for Revenue & AIforce
Run quote-to-cash with agents — and govern them.
Quoting, renewal and collections agents
Atlas Reasoning Engine, Koa and model choice
Flex Credits and consumption for revenue agents
Build vs job-ready agents
Topics, instructions and actions for quoting use cases
Flow and Apex actions on catalog, pricing, quote and billing APIs
Grounding in Data 360 usage and entitlement data
Testing Center and evaluation
Quote summaries and proposal narratives
Renewal and collections outreach
Versioning and approvals
Trust Layer and pricing confidentiality
Claudeforce — Salesforce in Claude for sellers
Slackforce Surfaces — deal desk and approvals in Slack
Agentforce Coworker in Revenue Cloud
Rollout and adoption
Approval and margin guardrails
Audit trail and Agent Fabric inventory
Segregation of duties for agents
Evidence for finance and audit
11
Analytics, Forecasting & RevOps
Prove bookings, billings and revenue — and forecast them.
Bookings, billings and ARR dashboards
Quote and discount analytics
Renewal and churn reporting
Executive dashboards
Collaborative forecasts and forecast types
Einstein forecasting and Revenue Intelligence
Tableau Next for revenue
Slackforce Surfaces for pipeline reviews
Sales, finance and operations alignment
Process governance and KPIs
Release management for pricing changes
Continuous improvement
12
Capstone, Certifications & Career
One end-to-end quote-to-cash build with agents, and a portfolio employers can verify.
Product catalog, pricing procedures and approvals
Quotes to contracts, orders, invoices and recognised revenue
Agentforce quoting and renewal agents under guardrails
ERP reconciliation, dashboards and a public verification URL
Revenue Cloud Consultant Accredited Professional
Salesforce CPQ Specialist
Administrator and Agentforce Specialist
Exam strategy and practice questions
Portfolio of catalog, pricing, billing and agent artefacts
Resume rewrite around quote-to-cash outcomes
Revenue Cloud interview scenarios
Warm introductions to hiring partners
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
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
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
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
Your AI Salesforce agent in a controlled project environment.
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 deployment contexts, project milestones, and grading rubric — PDF, 14 pages.
Production-style capstoneCareer support included
Your instructor
Taught by engineers who shipped agentic AI to production.
MK
Manikanta Kona
Founder, Digital Edify · 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 class."
15 yrs
SALESFORCE
2,400+
LEARNERS
4.8 /5
RATING
Manikanta is the founder of Digital Edify 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 Edify · 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 Edify, 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 Edify grads.
Real feedback from talent leaders at Salesforce Summit / Crest Partners and the firms hiring our Salesforce + Agentforce graduates.
Digital Edify 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 Edify 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 Edify 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 Edify'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 Edify 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 Edify 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 Edify graduates for our Salesforce practice. Strong Apex, strong platform depth, sharp on the Agentforce layer.
Geetha Pillai, Talent Acquisition Lead, Cyient
Digital Edify 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 Edify · 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 Edify
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.
Job roles
Roles this program prepares you for.
Revenue Cloud Consultant
Design and deliver quote-to-cash implementations on Revenue Cloud.
Salesforce CPQ Specialist / Administrator
Configure catalog, pricing, rules and quote templates.
Salesforce Billing Specialist
Own billing schedules, invoicing, payments and collections.
Revenue Recognition Analyst (Salesforce)
Configure and reconcile ASC 606 / IFRS 15 revenue schedules.
Deal Desk / Pricing Operations Analyst
Run pricing policy, approvals and discount governance.
Revenue Operations (RevOps) Manager
Align sales, finance and operations on one revenue system.
Agentforce for Revenue Specialist
Deploy quoting, renewal and collections agents under guardrails.
Quote-to-Cash Business Analyst
Translate revenue processes into Revenue Cloud configuration.
ERP Integration Consultant (Q2C)
Integrate Revenue Cloud with SAP, Oracle, NetSuite and Workday.
Revenue Cloud Solution Architect (career path)
Grow toward architecting enterprise quote-to-cash solutions.
What employers should see in your portfolio: that you can take quote-to-cash from catalog to recognised revenue — model products and pricing, quote and contract, bill and collect, reconcile with the ERP, and run Agentforce quoting and renewal agents inside approval guardrails.
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 8142998866
US desk
+1 256 388 7766
Hours
Mon–Sun · 7 AM–9 PM
Online class
Global
Weekend and evening Salesforce classes running on IST and PST. Every online class 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
Admissions
ENROLLING NOW
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 class comes from non-CS streams — mechanical, electrical, BCom, BBA — and zero Salesforce or CRM exposure is assumed. The opening modules cover the platform data model, Setup, and declarative tooling from scratch. What you do need is consistency and regular practice.
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 the start 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.
How is the learning workload structured?
The program combines live mentor-led classes, guided labs, project work, and optional support sessions. An advisor can explain the current class format before enrolment.
Is placement support really 1:1, and which companies hire?
Yes. Career support includes portfolio and profile preparation, interview practice, and role-fit introductions where available. Digital Edify does not guarantee an interview, offer, salary, employer, location, or timeline.
Online, weekend, or on-campus?
All three. On-campus at the Hyderabad flagship, live online (IST and PST classes), 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 learners needing additional support, 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.
One million AI‑native professionals by 2027.
Let's put you in that number.
Book a 20‑minute advisor call. We'll map your current role to the right program, talk honestly about timelines, and walk you through a real class's project.
