SB
Spandana Bala
Salesforce Administrator
Hyderabad · India
Now at · Infosys
Salesforce · Platform Owner · Product Owner · CoE Lead · Enrolling now
Salesforce Platform Owner
A leadership-focused program: build strong platform governance, roadmap and Center of Excellence foundations, then own licensing and consumption, release management and AI governance across Agentforce 360, Data 360 and the new AIforce layer — and prove value to the board.
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 Platform Owner program?
A Salesforce Platform Owner is accountable for the whole platform — its roadmap, governance, cost, risk and the value it returns — and now for the digital workforce and AIforce interfaces running on it. Most Salesforce courses train people to build. This program trains the person who decides what gets built, who pays for it, how it is released and governed, and how its value is reported to the board — across Customer 360, Data 360, Agentforce 360 and AIforce.
The complete delivery chain
Twelve links, one owner — end to end.
01DIRECT
- •Platform vision, strategy & roadmap
- •Operating model & Center of Excellence
- •Stakeholder alignment & prioritisation
- •Business cases & funding
02GOVERN
- •Design authority, standards & architecture review
- •Licensing, Flex Credits & consumption control
- •Release management & technical debt
- •AI governance — Guardian, Agent Fabric, AIforce policies
03REALISE
- •Adoption & change management
- •KPIs, dashboards & value reporting
- •Vendor, partner & renewal management
- •Continuous improvement & innovation pipeline
AI in Salesforce · Dreamforce '26
Salesforce became a digital-labour platform. Someone has to own it.
AIforceNew '26
Salesforce now runs inside Claude, Slack and the Lightning Coworker on existing permissions with Zero Data Retention. No pricing or GA date yet — the owner decides pilot scope, policy and when to commit.
Agentforce 360 & Flex CreditsConsumption economics
Seven job-ready agents — Piper, Hunter, Casey, Paige, Fin, Carter, Marshall — priced on actions and conversations. Forecasting and controlling consumption is now a core ownership skill.
Salesforce Guardian & Trust LayerGovernance layer
Zero Data Retention across Anthropic, AWS, Google, NVIDIA and OpenAI models, masking, toxicity detection and audit trails — the controls the owner signs off and evidences.
Agent Fabric & Enterprise AI HarnessNew '26
Agent inventory, policy and interoperability today; a unified Harness experience expected early FY28. Owners set the policy Agent Fabric enforces.
Data 360 & Zero CopyFoundation layer
Unified profiles and Zero Copy federation to Snowflake, BigQuery and AWS. Data ownership, consent and lineage decisions sit with the platform owner and data governance board.
Koa & model choiceReasoning layer
Salesforce's CRM reasoning model built with NVIDIA, alongside Claude, Gemini, Bedrock and OpenAI. Model strategy, cost and risk appetite are ownership decisions.
What this means for your career: platform owner, product owner and CoE lead roles now ask for AI governance, consumption control and value reporting alongside roadmap and release management — the differentiator is a governed platform with agents in production and a board-ready value story, not a list of features shipped.
Who should join
Built for people stepping up to own the platform.
Senior Salesforce admins & consultants
Business analysts & product owners
IT / applications managers
Sales, service & marketing operations leaders
Project & delivery managers
Newly appointed platform or CoE leads
Prior experience: 1–2 years around Salesforce or enterprise applications recommended. No coding. The program builds platform and governance foundations before AI governance and value realisation.
What you will be able to do
Own the platform — and answer for its value.
Set vision & roadmapPlatform strategy, quarterly roadmaps, prioritisation frameworks and stakeholder alignment.
Run a Center of ExcellenceOperating model, design authority, standards, intake and demand management.
Control licences & consumptionEditions, add-ons, Flex Credits, Digital Wallet forecasting, renewals and negotiation.
Govern releases & riskRelease calendar, DevOps Center, environments, technical debt, security and compliance.
Govern AI & AIforceAgentforce policies, Guardian, Agent Fabric, Claudeforce and Slackforce rollout decisions.
Prove valueKPIs, adoption metrics, business cases, ROI models and board-level reporting.
Course curriculum
Twelve sections. 51 modules. Direct → Govern → Realise.
01
Salesforce Platform & the 2026 Stack for Owners
What you own: the four-layer stack, how it is licensed and where the risks and the value sit.
Leads, accounts, opportunities, cases — the business processes the platform runs
Customer 360 apps: Sales, Service, Field, Marketing, Commerce, Revenue, Industries
Editions, add-ons, AppExchange and AgentExchange
Salesforce release cycle and roadmap signals
Data 360 — integration, federation and harmonization
Customer 360 — apps, semantics and workflow intelligence
Agentforce — the digital workforce and Flex Credit economics
AIforce — Claudeforce, Slackforce, Coworker and the Headless Toolkit
Security model — profiles, permission sets, sharing
Data model, Flow and Lightning at a decision-making level
Sandboxes, environments and deployment basics
Reading Setup, Optimizer and Lightning Usage
What Guardian and Zero Data Retention commit to
Einstein Trust Layer controls and audit evidence
Model partners — Anthropic, AWS, Google, NVIDIA, OpenAI, Koa
Questions from legal, security and the board — and the answers
02
The Platform Owner Role & Operating Model
Define the role, the mandate and the operating model the whole organisation works to.
Accountabilities and decision rights across roles
RACI for build, run, change and govern
Working with partners, MSPs and internal teams
Career path to Head of Salesforce and CoE Director
Choosing an operating model for org size and structure
Single-org vs multi-org strategy
Business-led vs IT-led ownership
Transitioning between models
CoE charter, roles and funding
Design authority and architecture review board
Standards, guidelines and reusable assets
Measuring CoE effectiveness
Request intake and triage
Steering committee, change advisory and design forums
Decision logs and escalation paths
Communicating decisions
Platform policies — security, data, automation, AI
Naming, documentation and metadata standards
Living documentation and knowledge management
Onboarding admins, developers and partners
03
Product Management for Salesforce
Treat the platform as a product — vision, roadmap, backlog and measurable outcomes.
Linking platform strategy to business strategy
Vision statements and north-star metrics
Capability maps across Customer 360
Strategy reviews and refresh cadence
Quarterly and annual roadmaps
MoSCoW, WSJF, RICE and cost-of-delay
Balancing run, grow and transform
Roadmap communication to stakeholders
Epics, features and user stories at owner level
Sprint reviews, release planning and acceptance
Working with scrum teams and partners
Jira, Azure DevOps and DevOps Center work items
Stakeholder maps and engagement plans
Executive summaries and decision papers
Handling conflicting priorities
Presenting to the C-suite
Building a business case — costs, benefits, risks
Capex vs opex and chargeback models
Funding CoE, run and change
Securing budget for agents and AI
04
Licensing, Consumption & Vendor Management
Understand what you pay for, forecast what you will consume and negotiate well.
Editions, user licences, permission set licences and add-ons
Platform licences, Experience Cloud and Industries
Sandbox, storage and API allocations
Reading an order form
Flex Credits, conversations and actions pricing
Data 360 consumption credits and Digital Wallet
Forecasting agent and data consumption
Guardrails to stop runaway spend
Licence utilisation reporting and reclamation
Right-sizing profiles and permission set licences
True-ups, audits and compliance
Storage and API optimisation
Renewal timelines and preparation
Negotiation levers and benchmarks
MSAs, SLAs and success plans
Managing partners, ISVs and MSPs
05
Architecture & Design Authority
Make and defend the big decisions without writing code.
Solution, data and integration architecture basics
Reading an architecture diagram and design document
Declarative vs code vs AppExchange decisions
Well-Architected framework — trusted, easy, adaptable
Single vs multi-org decisions
Environment strategy and sandbox management
Data ownership, master data and Data 360 placement
Integration landscape and MuleSoft
Running an architecture review board
Design principles and decision records
Reviewing partner and vendor designs
Exceptions and waivers
Identifying and quantifying technical debt
Salesforce Optimizer, Health Check and Security Center
Debt paydown roadmaps
Deprecations and end-of-life planning
06
Release Management & DevOps Governance
Ship change safely and predictably across teams and partners.
Release cadence and calendar design
Aligning with Salesforce seasonal releases
Freeze periods and business calendars
Release communication
DevOps Center — projects, work items, pipelines
Git-based delivery and third-party tools overview
Environment promotion and validation
Deploying agents, prompts and Flows
Change advisory and approval workflows
Test strategy and UAT ownership
Agentforce Testing Center in the release gate
Rollback and hotfix policy
Reading release notes and preview sandboxes
Release readiness assessments
Feature adoption planning
Retiring legacy features
07
Security, Risk & Compliance
Own the risk register and the evidence, not just the settings.
Security ownership and shared responsibility
Risk identification, scoring and treatment
Health Check, Security Center and Shield decisions
Incident response and escalation
SSO, MFA and identity governance
Privileged access and admin sprawl
Access reviews and certification
Agent users and AIforce access
GDPR, DPDP, CCPA and sector regulations
Consent management and Data Use Purposes
Retention, deletion and data residency
Privacy impact assessments for agents
Setup Audit Trail, Event Monitoring and logs
SOC 2, ISO 27001 and industry frameworks
Building an audit evidence pack
Working with internal audit and regulators
08
AI Governance — Agentforce 360
Decide what agents may do, prove they do it, and control what they cost. Aligns with the Agentforce Specialist certification at owner level.
Atlas Reasoning Engine, Koa and model choice
Job-ready agents — Piper, Hunter, Casey, Paige, Fin, Carter, Marshall
Employee vs customer-facing agents and their risk profiles
Build vs buy vs AgentExchange decisions
Identifying and scoring agent use cases
Value, risk and consumption modelling
Pilot design and success criteria
Scaling from pilot to production
Trusted AI principles into policy
Scope, topics, actions and escalation policy
Human-in-the-loop and approval controls
Incident and rollback procedures for agents
Einstein Trust Layer controls and audit trail
Salesforce Guardian and Zero Data Retention commitments
Testing Center results as go-live evidence
Reporting AI governance to the board
Agent Fabric — inventory, policy and interoperability
Agentforce Command Center — sessions, cost and quality
Enterprise AI Harness roadmap
Budgets, alerts and Flex Credit governance
09
AIforce Strategy & Adoption
Decide where Salesforce shows up — Claude, Slack, Coworker — and govern it.
AIforce as the live interface layer above the stack
Claudeforce, Slackforce, Agentforce Coworker and Headless Toolkit
Permissions inheritance and Zero Data Retention
Beta status, pricing unknowns and when to commit
Salesforce in Claude — plugin from AgentExchange into Claude Enterprise
The 37 sales skills and target teams
Policy for actions from Claude and approval controls
Pilot metrics and scale decisions
Slack CRM, Slackbot and Slackforce Surfaces
Channel design, data exposure and governance
Adoption plans for Slack-first teams
Measuring usage and value
ADKAR and Prosci applied to Salesforce and AI
Champions networks and training strategy
Adoption dashboards and Lightning Usage app
Handling resistance and feedback loops
Human plus agent workforce design
Role redesign and reskilling
Ethics, communication and employee trust
Reporting digital labour outcomes
10
Data 360 Ownership & Analytics
Own the data the platform and its agents depend on.
Data 360 concepts — streams, harmonization, unified profiles
Zero Copy to Snowflake, BigQuery and AWS — governance implications
Consumption credits and Digital Wallet
Where Data 360 fits in the roadmap
Data ownership, stewardship and quality KPIs
Master data and system-of-record decisions
Consent, lineage and Agent Fabric policies
Working with data engineering and architecture
Executive dashboards and KPI frameworks
Tableau Next and Tableau Knowledge overview
Slackforce Surfaces for leadership rituals
Agent performance reporting
Why grounding fails on dirty data
Data quality metrics and remediation programs
Funding data quality work
Evidence for AI governance
11
Value Realisation & Leadership
Prove the platform pays for itself — and lead the team that runs it.
Linking platform metrics to business outcomes
Value trees and leading vs lagging indicators
Baselines and benefit tracking
Agent containment, pipeline and CSAT as value metrics
Total cost of ownership and ROI models
Value realisation reviews
Board and steering committee reporting
Storytelling with data
Team design — admins, developers, BAs, architects, partners
Hiring, career paths and certification plans
Performance and capability development
Building an AI-ready team
Innovation intake and experimentation budget
Evaluating new Salesforce releases and AgentExchange
Retrospectives and platform health reviews
Refreshing strategy annually
12
Capstone, Certifications & Career
One platform charter, one AI governance framework, one board deck — and a portfolio to prove it.
Platform operating model, CoE charter and 12-month roadmap
Licence and consumption forecast including Flex Credits
AI governance framework for Agentforce and AIforce with policy, evidence and pilot plan
Board-ready value report with a public verification URL
Salesforce Certified Administrator
Salesforce Certified Business Analyst and AI Associate
Agentforce Specialist
Strategy Designer and Application Architect (stretch)
Portfolio of charters, roadmaps, governance frameworks and value reports
Resume rewrite around ownership outcomes
Platform owner and CoE lead interview case studies
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.
Salesforce Platform Owner
Accountable for roadmap, governance, cost, risk and value of the platform.
Salesforce Product Owner
Own the backlog and translate business value into platform outcomes.
Salesforce CoE Lead / Manager
Run the Center of Excellence, design authority and standards.
Head of Salesforce / CRM Platform Lead
Lead the team, partners and strategy for the whole CRM estate.
AI Governance Lead (Agentforce & AIforce)
Own agent policy, Guardian evidence and AIforce rollout decisions.
Salesforce Program / Delivery Manager
Run releases, partners and multi-team delivery.
Business Applications Manager
Own Salesforce alongside the wider enterprise application portfolio.
Salesforce Licensing & Vendor Manager
Control licences, Flex Credits, renewals and negotiations.
Revenue / Service Operations Leader
Own the platform from the business side with governance discipline.
Salesforce Strategy Designer / Director (career path)
Grow toward enterprise platform strategy and leadership roles.
What employers should see in your portfolio: that you can own a platform end to end — set the roadmap, run the CoE, control licences and Flex Credits, govern releases and risk, put Agentforce and AIforce under policy with evidence, and report value the board accepts.
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.
