SB
Spandana Bala
Salesforce Administrator
Hyderabad · India
Now at · Infosys
Salesforce · Admin · Agentforce Specialist · AIforce-ready · Enrolling now
Salesforce Admin, Agentforce & AIforce
A career-focused, no-code program: build strong Salesforce administration, security and Flow automation foundations, then configure and govern Agentforce 360 agents, Data 360 and the new AIforce layer — Salesforce inside Claude, Slack and the Lightning Coworker.
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 Admin & Agentforce program?
A Salesforce Admin & Agentforce specialist configures, secures and automates the Salesforce platform — and now deploys and governs the AI agents and AIforce interfaces that run on it. Most admin courses end at profiles, Flows and dashboards. This program ends only when your org runs job-ready Agentforce agents grounded in Data 360, with Salesforce reachable from Claude and Slack, and governance evidence from Agent Fabric and Salesforce Guardian.
The complete delivery chain
Twelve links, one owner — end to end.
01CONFIGURE
- •Users, profiles, permission sets & sharing
- •Objects, fields, relationships & data quality
- •Lightning apps, pages & dynamic forms
- •Flow Builder automation & approvals
02DEPLOY AGENTS
- •Agent Builder topics, instructions & actions
- •Prompt Builder grounded in Data 360
- •Piper, Hunter, Casey & Paige on Sales & Service
- •Claudeforce, Slackforce & Coworker enablement
03GOVERN
- •Einstein Trust Layer & Salesforce Guardian
- •Agent Fabric inventory & Command Center
- •Testing Center, DevOps Center & releases
- •Adoption, KPIs & value reporting
AI in Salesforce · Dreamforce '26
The platform got a new layer. Admin roles moved with it.
AIforceLive interface layer
Salesforce now comes to where people work — Claude, Slack and the Lightning Coworker — running on existing permissions with Zero Data Retention. Admins enable, scope and audit it.
Claudeforce & SlackforceNew '26
Salesforce in Claude ships as a prebuilt MCP plugin with 37 sales skills installed from AgentExchange; Slack CRM and Slackforce Surfaces let teams update records and pin live views without opening Salesforce.
Agentforce 360Digital workforce
Seven job-ready agents — Piper, Hunter, Casey, Paige, Fin, Carter, Marshall — plus Agent Builder for your own. Configured through topics, instructions and Flow actions, not code.
Koa & model choiceReasoning layer
Salesforce's first CRM reasoning model built with NVIDIA, alongside Anthropic, Google, AWS Bedrock and OpenAI — admins pick and govern the model behind each agent.
Data 360Governed context
Unified profiles and Zero Copy federation across Snowflake, BigQuery and AWS — the grounding that decides whether an agent answers correctly or hallucinates.
Salesforce Guardian & Agent FabricGovernance layer
Zero Data Retention, Einstein Trust Layer, Agent Fabric inventory and the Enterprise AI Harness — the controls employers now audit admins against.
What this means for your career: admin roles increasingly ask for Agentforce configuration, Data 360 grounding and AI governance — the differentiator is deploying agents with tests, guardrails and adoption evidence, not just clean profiles and dashboards.
Who should join
Built for people moving into AI-era Salesforce administration.
Fresh graduates & career switchers
Existing Salesforce admins adding Agentforce
Sales, service & CRM operations staff
IT support & helpdesk professionals
Business analysts & power users
Admins from other CRMs or ITSM tools
Prior experience: none required. No coding. The program builds CRM and platform foundations before Agentforce, Data 360 and AIforce.
What you will be able to do
Run the org — and ship its AI safely.
Secure & configure the orgUsers, profiles, permission sets, sharing, objects, fields and Lightning apps.
Automate with FlowRecord-triggered, screen and scheduled flows, approvals and orchestration — also as agent actions.
Build & deploy Agentforce agentsTopics, instructions, actions and prompt templates; Piper, Casey and Paige on Sales & Service Cloud.
Ground agents in Data 360Unified profiles, Zero Copy sources and Calculated Insights feeding prompts and agents.
Enable AIforceSalesforce in Claude, Slack CRM, Slackforce Surfaces and the Lightning Coworker for a pilot team.
Govern & releaseTrust Layer, Guardian, Agent Fabric, Testing Center, Command Center and DevOps Center.
Course curriculum
Twelve sections. 61 modules. Data 360 → Customer 360 → Agentforce → AIforce.
01
Salesforce Platform & the 2026 Stack
How Salesforce is layered today and where the admin works in it — Data 360, Customer 360, Agentforce and AIforce. Org types, navigation, Trailhead and the vocabulary employers now use.
What a CRM does — leads, accounts, contacts, opportunities, cases
Salesforce clouds and the Customer 360 apps: Sales, Service, Field, Marketing, Commerce, Revenue, Industries
Editions, licences and the AppExchange / AgentExchange marketplaces
Admin career pathways and the certification roadmap
Data 360 — integration, federation and harmonization
Customer 360 — apps, semantics and workflow intelligence
Agentforce — the digital workforce of job-ready agents
AIforce — the live interface layer: Claudeforce, Slackforce, Coworker, Headless Toolkit
App Launcher, navigation bar, global search and favourites
Setup menu, Quick Find and Object Manager
Home page, record pages, related lists and activity timeline
Personal settings, display density and accessibility options
Creating a Developer Edition org and enabling Agentforce
Sandbox types: Developer, Developer Pro, Partial, Full
Trailhead Playgrounds and hands-on challenges
Release cycle — Spring, Summer, Winter and preview sandboxes
What Salesforce Guardian protects and how Zero Data Retention works with model providers
Einstein Trust Layer: dynamic grounding, data masking, toxicity detection, audit trail
Model partners — Anthropic, AWS, Google, NVIDIA, OpenAI and Salesforce Koa
Where trust settings live in Setup and what an admin is accountable for
02
Org Setup, Security & Access
The security model that every agent, integration and AIforce surface inherits. Get this right and everything above it stays governed.
Company information, business hours, fiscal year, currencies and locales
Creating, deactivating and freezing users; licence types and feature licences
Login hours, login IP ranges and trusted IP ranges
Delegated administration and user management best practice
Standard vs custom profiles and the minimum-access model
Permission sets, permission set groups and muting permissions
Object, field, app, tab and system permissions
User access policies and the permission-set-led access model
Organization-Wide Defaults — private, public read-only, read/write
Role hierarchy and grant access using hierarchies
Criteria-based and owner-based sharing rules, public groups, queues
Manual sharing, team sharing and troubleshooting record access
Field-level security and page-layout visibility
Multi-factor authentication and single sign-on basics
Session settings, password policies and login flows
Health Check and remediating security risks
Agentforce agent users and the Einstein Agent permission sets
Connected apps, OAuth scopes and API access for AIforce surfaces
How Claudeforce and Slackforce inherit the requesting user's permissions
Auditing who can act on Salesforce from outside the UI
03
Data Modeling & Data Management
Objects, relationships and clean data — the metadata that AIforce and agents reason over.
Standard objects and when to create custom objects
Field types, picklists, dependent picklists and global value sets
Record types, page layouts and business processes
Object Manager and naming conventions
Lookup vs master-detail relationships and their behaviour
Many-to-many with junction objects
Hierarchical and external lookups
Visualising and editing the data model in Schema Builder
Formula fields — text, number, date and logical functions
Validation rules and error placement
Roll-up summary fields and their limits
Cross-object formulas and troubleshooting
Data Import Wizard vs Data Loader vs Dataloader.io
Insert, update, upsert, delete and export with external IDs
Duplicate rules, matching rules and merge
Mass transfer, mass delete and the Recycle Bin
How agents and prompt templates read CRM fields
Completeness, consistency and freshness metrics for AI-ready data
Data quality dashboards and stewardship routines
Case study: an agent answering wrong because of duplicate accounts
04
Lightning Apps & User Experience
Apps, pages and dynamic forms — plus the Agentforce Coworker now sitting inside Lightning.
Creating Lightning apps, navigation items and app branding
Custom tabs, web tabs and Visualforce tabs
Utility bar items — notes, history, Agentforce panel
Assigning apps to profiles
Building record pages with standard and custom components
Dynamic Forms — field sections with visibility rules
Dynamic Actions and component visibility filters
Page assignment by app, record type and profile
List views, filters, inline editing and sharing
Kanban and split views
Path and guidance for success
In-app guidance prompts and walkthroughs
Salesforce mobile app navigation and branding
Mobile-optimised record pages and quick actions
Mobile-only components and offline considerations
Testing with the Mobile Publisher preview
What Agentforce Coworker does inside the Lightning interface
Enabling Coworker, assigning permissions and scoping data access
Configuring the Coworker panel on record pages and the utility bar
Driving adoption and measuring usage
05
Flow Builder & Automation
Flow is the automation backbone and the way agents take action. Every agent action later in the course is a Flow you build here.
Flow types and when to use each
Record-triggered flows — before-save vs after-save, entry conditions
Scheduled flows and scheduled paths
Platform-event-triggered flows
Screen elements, input validation and conditional visibility
Reactive screen components and choice sets
Launching screen flows from pages, actions and utility bar
Designing guided processes for reps and agents
Approval processes, approvers, steps and actions
Flow Orchestration — stages, steps and interactive work items
Email alerts, templates and notifications
Migrating legacy Workflow Rules and Process Builder
Debug mode, rollback and debug logs
Fault paths, custom error messages and transaction control
Versioning, activation and Flow Trigger Explorer
Governor limits, bulkification and performance
Autolaunched flows as Agentforce actions
Designing inputs, outputs and instructions the agent understands
Guardrails: confirmation, approval and read-only actions
Testing an agent action end to end
06
Reports, Dashboards & Analytics
Operational reporting for admins, and the analytics surfaces agents and Slackforce now draw on.
Standard and custom report types
Tabular, summary, matrix and joined reports
Filters, cross filters, bucketing and row-level formulas
Report folders and sharing
Dashboard components, filters and running user
Dynamic dashboards and view-as permissions
Subscriptions, conditional alerts and Chatter posting
Embedding dashboards on Lightning pages
Tableau Next inside the Salesforce platform
Tableau Knowledge and the semantic layer for AI
Connecting CRM data to Tableau dashboards
Where admins hand off to analysts
Agent session, topic and action reporting
Containment rate, escalation rate and CSAT for agents
Building an Agentforce performance dashboard
Reporting on Coworker, Claude and Slack usage
07
Agentforce 360 Fundamentals
Build your first agent: topics, instructions, actions, prompts and the reasoning engine underneath. Aligns with the Agentforce Specialist certification.
How an agent plans and reasons: Atlas Reasoning Engine
Koa, Salesforce's CRM reasoning model built with NVIDIA
Choosing models — Anthropic, Google, AWS Bedrock, OpenAI — and Zero Data Retention
Employee agents vs customer-facing agents
Creating an agent, defining its job and scope
Topics, classification descriptions and instructions
Standard topics vs custom topics
Testing conversations in the Agent Builder preview
Action types and how the agent selects them
Adding Flow actions built in Section 05
Prompt template actions and external API actions (overview)
Action instructions, inputs and outputs
Sales email, field generation and flex prompt templates
Grounding with record merge fields, related lists and Data 360
Prompt versioning and activation
Using templates from Lightning pages and agents
Dynamic grounding and secure data retrieval
Data masking and demasking
Toxicity detection and feedback
Audit trail and Data 360 storage of prompts and responses
Generating test cases from topics and utterances
Running batch tests and reading results
Fixing misclassified topics and weak instructions
Go-live checklist for an agent
08
Job-Ready Agents for Sales & Service
Configure the packaged digital workforce on Sales Cloud and Service Cloud foundations.
Lead capture, assignment, conversion and web-to-lead
Accounts, contacts, opportunities, products and price books
Sales processes, stages and forecasting
Activities, email integration and Einstein Activity Capture
Piper — inbound lead qualification and meeting booking
Hunter — outbound prospecting and sequences
Configuring channels, topics and handoff to reps
Measuring pipeline generated by agents
Case management, assignment and escalation rules
Omni-Channel routing, queues and presence
Knowledge articles, data categories and article lifecycle
Entitlements, milestones and SLAs
Deploying Casey on Messaging for In-App and Web
Voice, SMS and WhatsApp channels
Agentforce Voice and speech settings
Escalation to human agents in Service Console
Paige — employee IT and HR requests in Slack and Lightning
Fin — multi-step customer experience workflows
Configuring knowledge, actions and approvals for employee agents
Choosing between packaged agents and a custom agent
Escalation topics and transfer-to-agent actions
Case and lead creation on handoff
Notifying teams in Slack channels
Reviewing transcripts and improving instructions
09
Data 360 for Admins
Unified, governed customer data is what decides whether an agent works. Admin-level Data 360 without the engineering depth.
Data 360 (formerly Data Cloud) and its place in the stack
Data streams, data lake objects and data model objects
Identity resolution and unified individual profiles
Data spaces and permissions
What Zero Copy means and why it matters for agents
Connecting Snowflake, BigQuery, Redshift and S3 sources
New AWS reach: Glue and S3 Iceberg tables, Aurora, RDS, SageMaker Lakehouse
Informatica and MuleSoft connectors — where admins hand off
Building calculated insights like lifetime value
Segments and segment membership
Activation targets — Sales, Service, Marketing
Related-list and copy-field enrichments back to CRM
Data 360 retrievers and search indexes
Grounding prompt templates with unified data
Agentforce Data Library and knowledge grounding
Testing answer quality before and after grounding
Integration options: MuleSoft, Informatica, native connectors
Agent Fabric and Tableau Knowledge in the Data 360 layer
The Metadata Platform as the source of truth
Working with data engineers and architects
10
AIforce — Salesforce Outside the UI
The new live interface layer announced at Dreamforce '26. Admins now enable, scope and govern Salesforce usage inside Claude, Slack and the Lightning Coworker.
Headless 360 and the Headless Toolkit: APIs, MCP tools and CLI
How AIforce sits above Agentforce, Customer 360 and Data 360
No new permissions model — how existing access applies
Availability, beta status and what to tell stakeholders
Installing the Salesforce in Claude plugin into Claude Enterprise
Prebuilt MCP server, authentication and Zero Data Retention settings
The 37 sales skills — prospecting to pipeline hygiene
Rolling out to a pilot team and gathering feedback
Connecting Slack and Salesforce; Slack CRM setup
Creating accounts, logging notes and updating records from Slack
Slackforce Surfaces — live, shared views pinned to channels
Slackbot reasoning across Slack and Salesforce context
Coworker vs Claude vs Slack — choosing surfaces per team
Training plans and adoption metrics
Feedback loops and iterating instructions
Communicating governance to leadership
Verifying Zero Data Retention with each model provider
Audit trails for actions taken from Claude and Slack
Approval and confirmation controls for write actions
Incident response when an agent acts incorrectly
11
Governance, Observability & Trust
Employers audit against this layer. Learn the controls and the evidence.
Registering internal and third-party agents
Policies, permissions and agent-to-agent interoperability
MCP interoperability with external agents
Governance reporting for leadership
The Harness components available today
Unified experience expected early FY28
Preparing an org for the Harness
What changes for admins and what does not
Session volumes, topics and outcomes
Cost tracking and consumption
Quality signals and feedback review
Alerting on failures and drift
Security Center dashboards and policies
Event Monitoring and login forensics
Shield Platform Encryption and Field Audit Trail (overview)
Setup Audit Trail and change tracking
Salesforce's trusted AI principles applied to an org
Pre-deployment checklist for agents
Evidence pack — tests, approvals, audit logs, KPIs
Presenting governance to auditors and stakeholders
12
DevOps, Release & Admin Productivity
Move configuration and agents safely between orgs, and stay current with three releases a year.
Sandbox strategy and refresh cadence
Outbound and inbound change sets
DevOps Center — projects, work items, pipelines and Git
Deployment validation and rollback
Metadata types for agents, topics and prompt templates
Moving Data 360 configuration between orgs
Post-deployment activation checklist
Regression testing with Testing Center
Reading release notes and preview sandboxes
Release readiness live and Trailhead modules
Optimizer and Lightning Usage app
Feature adoption plans
Agentforce Vibes and natural-language building
Salesforce Development plugin for Claude Code — what developers get
Using AI to draft formulas, flows and documentation
Boundaries: what admins should still review by hand
Capstone: Sales + Service org with Piper and Casey live, Claude and Slack enabled, governance evidence
Salesforce Certified Administrator exam prep
Agentforce Specialist and AI Associate exam prep
Portfolio, verification URL and interview preparation
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 Administrator
Own users, security, data model, Flows, reports and releases.
Agentforce Administrator / Specialist
Build, deploy and monitor Agentforce agents and prompt templates.
Sales Cloud Administrator
Run lead-to-cash configuration with Piper and Hunter agents.
Service Cloud Administrator
Run case-to-resolution with Omni-Channel and Casey agents.
AI Adoption & Governance Admin
Enable AIforce surfaces and evidence Trust Layer and Guardian controls.
Data 360 Administrator
Manage data streams, unified profiles and agent grounding.
Employee Experience Admin (IT & HR)
Deploy Paige and Coworker for internal service in Slack and Lightning.
Salesforce Release / DevOps Admin
Run DevOps Center pipelines, sandboxes and release readiness.
Salesforce Analyst / Reporting Admin
Build dashboards and agent performance reporting with Tableau Next.
Salesforce Consultant (career path)
Grow toward functional consulting and solution design roles.
What employers should see in your portfolio: that you can take an org from setup to governed AI — secure it, model the data, automate with Flow, deploy job-ready agents grounded in Data 360, enable Claude and Slack for a team, release through DevOps Center, and keep every agent inside the Trust Layer.
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.
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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.
