SB
Spandana Bala
Salesforce Administrator
Hyderabad · India
Now at · Infosys
Salesforce · Marketing Cloud · Data 360 · Agentforce for Marketing · Enrolling now
Salesforce Marketing Cloud
A career-focused, hands-on program: build strong Marketing Cloud Engagement, journey and email foundations, then specialise in Marketing Cloud Growth and Advanced on Data 360, Account Engagement and Personalization — with Agentforce for Marketing agents and Slackforce Surfaces the way marketing teams now run campaigns.
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 Marketing Cloud program?
A Marketing Cloud specialist turns customer data into governed, measurable cross-channel journeys — and now runs them with Agentforce for Marketing agents grounded in Data 360. Most Marketing Cloud courses end at sending an email. This program ends only when your journeys run on unified profiles across email, mobile, web and ads, your segments and content are built with Agentforce and Einstein, and your campaign results are reported through Marketing Cloud Intelligence and Slackforce Surfaces.
The complete delivery chain
Twelve links, one owner — end to end.
01DATA & AUDIENCE
- •Data extensions, Contact Builder & Data 360 profiles
- •Segments, SQL queries & Einstein segmentation
- •Consent, preferences & deliverability
- •Lead scoring & grading in Account Engagement
02BUILD & ORCHESTRATE
- •Email, mobile & content with AMPscript
- •Journey Builder & Flow-based journeys
- •Automation Studio & Engagement Studio
- •Agentforce Campaign & content agents
03PERSONALISE & MEASURE
- •Personalization & real-time decisions
- •Einstein send-time, engagement & content selection
- •Intelligence, Tableau Next & Slackforce Surfaces
- •Attribution, ROI & optimisation loops
AI in Salesforce · Dreamforce '26
Marketing Cloud moved onto Data 360 and agents. Marketer roles moved with it.
Marketing Cloud Growth & AdvancedCore platform edition
The new Marketing Cloud built natively on the Salesforce platform and Data 360 — Flow-based journeys, unified profiles, Einstein and Agentforce built in. The direction of travel for every new implementation.
Marketing Cloud EngagementEnterprise channels
Email Studio, Journey Builder, Mobile Studio, Automation Studio, AMPscript and SQL — still the engine of most enterprise B2C programs and the skills most job posts ask for.
Agentforce for MarketingNew '26
Campaign, segment and content agents that draft briefs, build audiences, generate and test creative and optimise journeys from a natural-language goal — the new Marketing agents announced with Agentforce 360.
Data 360 & Zero CopyGoverned context
Unified profiles, Calculated Insights and segments activated to Marketing Cloud, ads and commerce, with Zero Copy to Snowflake, BigQuery and AWS. The grounding that decides whether personalisation is right.
Personalization & EinsteinReal-time decisions
Web and mobile personalisation, next-best-action, Einstein send-time optimisation, engagement scoring and content selection — decisions made per customer in the moment.
Slackforce Surfaces & IntelligenceNew '26
Campaign performance pinned live into Slack channels, Marketing Cloud Intelligence and Tableau Next dashboards — marketing reporting where teams actually work.
What this means for your career: marketing cloud roles increasingly ask for Data 360, Marketing Cloud Growth and Agentforce for Marketing alongside Engagement, AMPscript and SQL — the differentiator is a portfolio of journeys running on unified data with agent-built segments and measurable revenue, not a certificate alone.
Who should join
Built for people moving into data-driven, AI-era marketing technology.
Digital & email marketers
Marketing operations & CRM specialists
Salesforce admins moving into Marketing Cloud
Campaign managers & agency staff
Marketers from HubSpot, Braze, Adobe or Mailchimp
Graduates targeting martech roles
Prior experience: marketing or CRM familiarity helps; no coding required. AMPscript and SQL are taught from scratch before Data 360, Growth edition and Agentforce for Marketing.
What you will be able to do
Run the journeys — and let agents scale them safely.
Build & send across channelsEmail Studio, Content Builder, Mobile Studio, Journey Builder and Automation Studio.
Personalise with codeAMPscript, SSJS basics and SQL queries on data extensions and Data 360.
Run Marketing Cloud Growth & AdvancedFlow-based journeys, unified profiles, Einstein and Agentforce on the core platform.
Deliver B2B with Account EngagementLead scoring, grading, Engagement Studio and Sales Cloud alignment.
Use Agentforce for MarketingCampaign, segment and content agents with Prompt Builder and brand guardrails.
Measure & optimiseIntelligence, Tableau Next, Slackforce Surfaces, attribution, deliverability and compliance.
Course curriculum
Twelve sections. 50 modules. Data → Build → Orchestrate → Personalise → Measure.
01
Salesforce Platform & the 2026 Marketing Stack
Where Marketing Cloud sits in the four-layer stack, the editions that exist today and where a marketing specialist works in each.
Leads, contacts, accounts and campaigns as marketing data
Customer 360 apps and how marketing connects to Sales, Service and Commerce
Editions, licences, super messages and Data 360 credits
Marketing Cloud career pathways and certifications
Data 360 — integration, federation and harmonization
Customer 360 — apps, semantics and workflow intelligence
Agentforce — Marketing agents in the digital workforce
AIforce — Claudeforce, Slackforce and Coworker for marketing teams
Marketing Cloud Growth and Advanced on the core platform
Marketing Cloud Engagement (ExactTarget lineage)
Account Engagement (Pardot), Personalization and Intelligence
Choosing the right edition for a customer
Navigating Lightning, campaigns and campaign members
Reports, dashboards and list views
Flow Builder basics for Growth edition journeys
Setting up a Developer Edition org
Guardian and Zero Data Retention for generated content
Einstein Trust Layer — masking, toxicity, audit
Brand safety and consent as AI guardrails
What legal and brand teams will ask
02
Marketing Cloud Engagement Setup & Administration
Accounts, users, sending and the configuration every campaign inherits.
Enterprise 2.0 accounts and business units
Users, roles and permissions
Marketing Cloud Connect to Sales and Service Cloud
Setup and administration checklists
Sender Authentication Package, SPF, DKIM and DMARC
IP warming and reputation
Reply mail management and bounce handling
List hygiene and deliverability monitoring
All Subscribers, lists and publication lists
Preference centres and profile centres
Unsubscribe handling and suppression
GDPR, DPDP, CAN-SPAM and CASL obligations
Connecting Sales and Service Cloud
Synchronised data extensions
Sending to Salesforce reports and campaigns
Tracking data back to CRM
03
Email Studio & Content Builder
Build, test and send email that renders, delivers and converts.
Content blocks, templates and layouts
Images, folders and approvals
Dynamic content and personalisation strings
Mobile-responsive design
Send flows, send classifications and delivery profiles
A/B testing and test sends
Send logs and tracking
Triggered sends
Einstein Send Time Optimization
Einstein Engagement Scoring and Frequency
Einstein Content Selection and Copy Insights
Reading Einstein recommendations
Generating subject lines, body copy and variants with Agentforce
Prompt Builder templates grounded in brand and campaign data
Brand guardrails and approval flows
Testing generated content
04
Data Model, Data Extensions & SQL
The data foundation — model it well and every journey, segment and agent works.
Data extensions vs lists
Sendable, standard and filtered data extensions
Contact Builder, attribute groups and data designer
Contact model and Contact Key strategy
SELECT, JOIN and WHERE on data extensions
Data views — _Sent, _Open, _Click, _Bounce, _Job
Segmentation and suppression queries
Performance and troubleshooting
Import activities and file transfers
Automation Studio schedules and triggers
Scripts, filters and verification activities
Error handling and notifications
Deduplication and identity in Marketing Cloud
Data retention policies
Data quality for AI — why bad data breaks agents
Documentation and naming standards
05
AMPscript, SSJS & Personalisation Code
Personalise at scale — the skill that separates senior Marketing Cloud roles.
Syntax, variables and functions
Lookup, LookupRows and data extension functions
Conditional content and loops
Debugging AMPscript
Personalisation from related data
Date, string and encryption functions
CloudPages and landing pages
Smart Capture forms
SSJS core and platform libraries
WSProxy for API calls
Guide Template Language basics
When to use AMPscript vs SSJS
Using Agentforce Coworker and Claude to draft and explain AMPscript
Reviewing and testing generated code
Common pitfalls in AI-generated personalisation
Documentation and reuse
06
Journey Builder & Mobile Studio
Orchestrate cross-channel journeys that respond to customer behaviour.
Entry sources — data extensions, API events, Salesforce data
Activities — email, SMS, push, wait, decision split
Journey settings and contact re-entry
Testing and validating journeys
Einstein splits and Path Optimizer
Sales and Service Cloud activities — create lead, update contact, create case
Journey versioning and analytics
Transactional messaging API
MobileConnect and keywords
MobilePush and in-app messaging
WhatsApp-first business messaging
Mobile compliance and opt-in
Welcome, nurture, win-back and lifecycle journeys
Mapping journeys to customer stages
KPIs per journey
Governance of journey sprawl
07
Marketing Cloud Growth & Advanced on Data 360
The new Marketing Cloud on the core platform — where new implementations are heading.
Architecture on the Salesforce platform and Data 360
Editions, features and licensing
Campaigns, content and brand in the core UI
Migration considerations from Engagement
Building journeys with Flow Builder
Segments as entry and decision points
Email, SMS and WhatsApp in Flow journeys
Testing and monitoring flows
Data streams, unified profiles and segments
Zero Copy — Snowflake, BigQuery, AWS — for marketing data
Calculated Insights for lifetime value and engagement
Activation to Marketing Cloud, ads and commerce
Einstein segment creation and content generation
Agentforce Campaign Agent — brief to journey
Guardrails, approvals and brand controls
Measuring agent-built campaigns
Engagement vs Growth decision framework
Coexistence patterns
Data migration and journey rebuild
Stakeholder communication
08
Account Engagement (Pardot) & B2B Marketing
Lead-to-revenue for B2B — scoring, nurture and sales alignment.
Prospects, lists and segmentation
Forms, landing pages and tracking
Sales Cloud connector and sync
Business units and permissions
Scoring models and grading profiles
Automation rules, dynamic lists and completion actions
Lead assignment and MQL handoff
Einstein Behavior Scoring
Engagement programs and branching logic
Email templates and A/B testing
Account-based marketing basics
Reporting on nurture performance
B2BMA dashboards and campaign influence
Multi-touch attribution
Working with sales and Piper / Hunter agents
Pipeline reporting
09
Personalization & Real-Time Decisions
Decide per customer, in the moment, across web, mobile and app.
Marketing Cloud Personalization (Interaction Studio lineage) and Data 360 Personalization
Sitemaps, catalogs and events
Segments and triggers
Architecture and privacy
Web templates and campaigns
Mobile SDK and in-app personalisation
Server-side campaigns and APIs
Testing and QA
Einstein Decisions and recipes
Next-best-action and offer arbitration
Real-time triggers from Data 360 data actions
Measuring lift
Personalization with Journey Builder and Growth journeys
Ads and commerce activation
Consistency across channels
Governance of decisions
10
Agentforce for Marketing & AIforce
Run marketing with agents — and govern them.
Marketing agents announced with Agentforce 360
Campaign, segment and content agents — what they do
Atlas Reasoning Engine, Koa and model choice
Flex Credits and consumption for marketing agents
Topics, instructions and actions for marketing use cases
Flow and prompt template actions
Grounding in Data 360 and brand content
Testing Center and go-live criteria
Brand-grounded prompt templates
Segment descriptions and creative briefs
Versioning and approvals
Trust Layer and brand safety
Claudeforce — Salesforce in Claude for marketers
Slackforce Surfaces — live campaign performance in Slack
Agentforce Coworker in Marketing Cloud
Rollout, adoption and governance
Consent, personalisation ethics and dark patterns
Bias in segmentation and content
Agent Fabric inventory and policy
Governance evidence for brand and legal
11
Analytics, Intelligence & Optimisation
Prove it worked — and make the next campaign better.
Standard reports and tracking
Analytics Builder and Datorama Reports
Journey and email analytics
Exporting to CRM and BI
Intelligence (Datorama) data streams and harmonisation
Cross-channel dashboards
Tableau Next and Tableau Knowledge for marketing
Slackforce Surfaces for leadership
Attribution models and campaign influence
ROI and CAC / LTV reporting
A/B and multivariate testing programs
Optimisation loops
Deliverability monitoring and remediation
Compliance audits and consent evidence
Runbooks and incident handling
Release management in Marketing Cloud
12
Capstone, Certifications & Career
One end-to-end campaign program on unified data, with agents, and a portfolio employers can verify.
Unified audience in Data 360 with Zero Copy source and segments
Cross-channel journey in Journey Builder and a Flow-based journey in Growth edition
Content and segments built with Agentforce for Marketing under brand guardrails
Intelligence dashboard and Slackforce Surface with a public verification URL
Marketing Cloud Email Specialist
Marketing Cloud Administrator and Account Engagement Specialist
Marketing Cloud Consultant and Data Cloud Consultant (stretch)
Agentforce Specialist and AI Associate
Portfolio of journeys, code, dashboards and agent evaluations
Resume rewrite around campaign and revenue outcomes
Marketing 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.
Marketing Cloud Specialist / Developer
Build emails, journeys, AMPscript and SQL across Engagement.
Marketing Cloud Administrator
Own setup, users, deliverability, connectors and governance.
Marketing Cloud Consultant
Design and deliver Marketing Cloud implementations for partners.
Marketing Automation Specialist (Account Engagement)
Scoring, nurture and B2B lead-to-revenue programs.
Marketing Data 360 / CDP Specialist
Unified profiles, segments and activation for marketing.
Personalization Specialist
Web, mobile and real-time decisioning campaigns.
Agentforce for Marketing Specialist
Run campaign, segment and content agents under brand guardrails.
Marketing Operations Manager
Own the martech stack, processes and reporting.
Marketing Analytics Specialist (Intelligence)
Cross-channel dashboards, attribution and ROI.
Marketing Cloud Solution Architect (career path)
Grow toward architecting multi-cloud marketing solutions.
What employers should see in your portfolio: that you can take a campaign program from data to revenue — unify the audience in Data 360, build and personalise content with AMPscript and Agentforce, orchestrate cross-channel journeys, run B2B nurture in Account Engagement, and prove ROI through Intelligence and Slackforce Surfaces.
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.
