SB
Spandana Bala
Salesforce Administrator
Hyderabad · India
Now at · Infosys
Salesforce · FDE · Agentforce 360 · Data 360 · AIforce · Squad residency · Enrolling now
Salesforce Forward Deployed AI Engineer
A customer-embedded, hands-on program: own the journey from an ambiguous customer problem to a trusted, adopted agentic solution — scope the mission, build Agentforce 360 agents grounded in Data 360, connect them through AIforce and MCP, and ship to production with Trust Layer governance, evaluation evidence and adoption metrics.
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 does a Salesforce Forward Deployed AI Engineer do?
They embed with the customer and own the agentic build end to end: scope the mission with sponsors, design against Salesforce Well-Architected, build Agentforce 360 agents grounded in Data 360, connect them through AIforce, MCP and MuleSoft, and launch to production under the Trust Layer and Salesforce Guardian with evaluation evidence and adoption metrics. Most Salesforce AI courses stop at a demo agent. This program ends only when you can ship an agentic solution a customer runs in production — and prove it is safe, governed and paying back.
The complete delivery chain
Twelve links, one owner — end to end.
01DISCOVER & VISION-LOCK
- •Sponsor, stakeholder & process discovery
- •Agent use-case scoring & Flex Credit economics
- •Data readiness & grounding assessment
- •Guardrails, success metrics & acceptance criteria
02BUILD & CONNECT
- •Agent Builder topics, actions & Agent Script
- •Prompt Builder grounded in Data 360
- •Flows, Apex actions, MuleSoft & MCP tools
- •Claudeforce, Slackforce & Coworker enablement
03EVALUATE & LAUNCH
- •Testing Center, evals & red-teaming
- •Trust Layer, Guardian & Agent Fabric registration
- •DevOps Center release, rollback & hypercare
- •Adoption, Command Center & 90-day value review
AI in Salesforce · Dreamforce '26
The platform went agent-first. Someone has to ship it in production.
Agentforce 360Digital workforce
Seven job-ready agents — Piper, Hunter, Casey, Paige, Fin, Carter, Marshall — plus custom agents on the Atlas Reasoning Engine with topics, actions, Agent Script and Testing Center. The FDE makes them work in a real customer org.
AIforce & the Headless ToolkitNew '26
Salesforce inside Claude, Slack and the Lightning Coworker, exposed as APIs, 60+ MCP tools and CLI on existing permissions with Zero Data Retention. FDEs design what is exposed and build custom MCP servers and skills.
Data 360 & Zero CopyGoverned context
Unified profiles, retrievers and Data Library grounding; Zero Copy to Snowflake, BigQuery, Databricks and AWS (Glue, S3 Iceberg, Aurora, RDS, SageMaker). Grounding quality decides agent accuracy.
Koa & multi-model choiceReasoning layer
Salesforce's CRM reasoning model built with NVIDIA alongside Anthropic, Google, AWS Bedrock and OpenAI. FDEs evaluate models per use case for quality, latency and Flex Credit cost.
Trust Layer, Guardian & Agent FabricGovernance layer
Masking, toxicity detection, audit trail, Zero Data Retention, agent inventory and policy — the evidence customers audit before an agent goes live, and the Enterprise AI Harness roadmap behind it.
Agentforce Vibes & Claude Code pluginAI-assisted build
Natural-language building on the platform plus the Salesforce Development plugin for Claude Code with 40+ skills. FDEs use them to move faster, then review and harden what they generate.
What this means for your career: every Agentforce rollout now needs someone who can select the use case, build and ground the agent, wire interoperability, and prove it safe — forward deployed AI engineers who ship agents into customer production with evaluation and adoption evidence command a premium over admin-only or developer-only profiles.
Who should join
Built for people moving into customer-embedded agentic delivery.
Salesforce developers & admins moving into AI
Integration & MuleSoft engineers
Software engineers targeting FDE / Applied AI roles
Salesforce consultants & solution engineers
Data & ML engineers entering CRM
Agentforce practitioners going to production
Prior experience: basic programming or Salesforce admin experience helps. The program builds platform, Flow and Apex foundations before Agentforce engineering, Data 360 grounding and production delivery.
What you will be able to do
Build the agent — and ship it in the customer's production.
Scope & vision-lock agent missionsDiscovery, use-case scoring, Flex Credit economics, guardrails and acceptance criteria with sponsors.
Engineer Agentforce agentsAgent Builder, Flow and Apex actions, Agent Script, Prompt Builder and Testing Center.
Ground in Data 360Unified profiles, Zero Copy sources, retrievers and Data Library that make agents accurate.
Connect through AIforce & MCPHeadless Toolkit, custom MCP servers, Claudeforce, Slackforce, MuleSoft and Agent Fabric.
Evaluate & governEvaluation sets, red-teaming, Trust Layer, Guardian, Command Center and Agent Fabric registration.
Launch & prove valueDevOps Center releases, rollback plans, adoption programs and 90-day value reviews.
Course curriculum
Twelve sections. 50 modules. Vision-lock → Build → Ground → Connect → Prove → Launch.
01
Salesforce Platform & the 2026 Stack for FDEs
The four-layer stack as a delivery landscape, and where the forward deployed AI engineer works in it.
Leads, accounts, opportunities, cases — the processes agents act on
Customer 360 apps: Sales, Service, Field, Marketing, Commerce, Revenue, Industries
Editions, Flex Credits, AppExchange and AgentExchange
Release cycle and API versioning
Data 360 — integration, federation and harmonization
Customer 360 — apps, semantics and workflow intelligence
Agentforce — digital workforce and action layer
AIforce — Claudeforce, Slackforce, Coworker and the Headless Toolkit
Developer Edition with Agentforce and Data 360 enabled
Sandbox strategy for customer engagements
Production-shaped lab data and separation of duties
sf CLI, VS Code and Code Builder
FDE vs developer vs consultant vs architect
Customer-embedded delivery and mission ownership
Working with sponsors, platform owners and partners
Career path and certification map
Guardian and Zero Data Retention with model providers
Trust Layer request path — grounding, masking, toxicity, audit
Koa and model partners — Anthropic, AWS, Google, NVIDIA, OpenAI
What an FDE must evidence before go-live
02
Platform Configuration Essentials
The configuration every agent inherits — security, data model, Lightning and automation.
Users, profiles and permission-set-led access
OWD, role hierarchy and sharing rules
Agent users and Einstein Agent permission sets
Auditing access before an agent acts
Objects, fields, relationships and record types
Validation rules and formulas
Duplicate management and Data Loader
Data quality as a grounding prerequisite
Lightning App Builder and record pages
Dynamic forms and actions
Agentforce Coworker in Lightning
Service Console and Sales workspaces
Record-triggered, screen and autolaunched flows
Approvals and Flow Orchestration
Flows as agent actions — inputs, outputs, guardrails
Debugging, fault paths and versioning
03
Apex, LWC & Integration Essentials
Enough code to build the actions agents call and integrate the customer's estate.
Apex fundamentals, SOQL and DML
Invocable methods for Flow and Agentforce
Bulk safety, sharing and security in actions
Testing and coverage
LWC fundamentals and Lightning Data Service
Calling Apex from LWC
Agent-facing and Coworker experiences
Design system basics
Callouts, named and external credentials
Exposing Apex REST services
External Services from OpenAPI specs as agent actions
Error handling and observability
Platform Events and Change Data Capture
MuleSoft Anypoint and agent actions
Integration patterns — request-reply, events, batch
Security and secrets for integrations
04
Sales & Service Cloud for Agent Delivery
The two clouds most agent missions land in — know the process before you automate it.
Leads, accounts, opportunities, products and forecasting
Sales processes and stages
Where Piper and Hunter plug in
Pipeline KPIs for agents
Cases, Omni-Channel, knowledge and SLAs
Service Console and Messaging channels
Where Casey, Paige and Fin plug in
Containment and CSAT metrics
Experience Cloud sites for customer-facing agents
Field Service and Industries agents
Cross-cloud process consistency
Licensing implications
Salesforce delivery phases and gates
Well-Architected — trusted, easy, adaptable
OOB-first and declarative-first decisions
Partner delivery models
05
Agentforce 360 Engineering
Build agents that do real work — topics, actions, scripts, prompts and tests.
Atlas Reasoning Engine — planning and action selection
Koa and multi-model choice
Job-ready agents — Piper, Hunter, Casey, Paige, Fin, Carter, Marshall
Employee vs customer-facing runtime and channels
Creating agents and defining scope
Topics, classification descriptions and instructions
Standard vs custom topics
Testing conversations in the Builder
Action contracts — inputs, outputs, descriptions
Wiring Flow and invocable Apex actions
Prompt template and External Services actions
Confirmation, approval and read-only guardrails
What Agent Script adds over instructions
Defining control flow and allowed actions
Testing and versioning scripts
Script vs Flow vs Apex decisions
Prompt templates and merge fields
Grounding with Apex, Flow and Data 360
Prompt template actions
Evaluating and versioning prompts
Single vs multi-agent topologies
Agent-to-agent and Agent Fabric interoperability
Escalation, human handoff and Slack notifications
Failure handling and fallbacks
06
Data 360 Grounding
Unified, governed customer data is what decides whether an agent works.
Data streams, DLOs, DMOs and the Customer 360 Data Model
Data spaces and permissions
Identity resolution and unified profiles
Consumption credits and Digital Wallet
Zero Copy — Snowflake, BigQuery, Databricks, AWS Glue, S3 Iceberg, Aurora, RDS, SageMaker
Ingestion API, connectors and MuleSoft
Informatica and the Metadata Platform
Choosing federation vs ingestion
Vector search and retrievers over DMOs and knowledge
Agentforce Data Library for files and Knowledge
Chunking, embedding and hybrid search
Measuring retrieval quality
Calculated Insights with SQL
Segments and activation
Enrichments back to CRM for agents and reps
Data actions triggering agents
Assessing customer data readiness
Before/after accuracy evaluation
Consent, privacy and residency in grounding
Remediation plans
07
AIforce, MCP & Interoperability
Make Salesforce agents work from Claude, Slack and other agents — safely.
AIforce as the live interface layer
Headless Toolkit — APIs, 60+ MCP tools and CLI
Permissions inheritance and Zero Data Retention
Beta status and roadmap
MCP protocol basics
Exposing Apex REST, Flows and agent actions as MCP tools
Building skills for Claude and Coworker
Publishing and governing on AgentExchange
Salesforce in Claude — plugin, MCP server and 37 sales skills
Slack CRM, Slackbot and Slackforce Surfaces
Data exposure, channel and approval design
Pilot-to-scale rollout
Agent Fabric and third-party agents
Salesforce + ServiceNow and Workday handoffs
Informatica MCP servers with Bedrock AgentCore
Designing shared value metrics
08
Evaluation, Testing & Observability
Prove it works before the customer finds out it does not.
Golden datasets and evaluation sets
Accuracy, safety, latency and Flex Credit cost metrics
Offline vs online evaluation
Acceptance criteria for agents and prompts
Generating test cases from utterances
Batch testing and reading results
Regression across releases
Release gates
Prompt injection and jailbreak testing
Data leakage and permission bypass tests
Bias and harmful output checks
Documenting findings and fixes
Agentforce Command Center — sessions, quality, cost
Event Monitoring and logs
Alerting and incident response for agents
Consumption guardrails
09
Trust, Governance & Agent Fabric
The layer customers audit against — learn the controls and the evidence.
Dynamic grounding and secure retrieval
Masking, demasking and toxicity detection
Audit trail and Zero Data Retention evidence
Model governance and change control
Agent inventory, policies and interoperability
Registering internal and third-party agents
Harness roadmap and readiness
Governance reporting
EU AI Act, NIST AI RMF and ISO 42001 basics
Privacy, consent and residency
Security Center, Shield and access reviews for agent identities
Audit evidence packs
AI governance board and decision rights
Working with platform owners, CoE and architects
Policies for building vs buying agents
Reporting to leadership
10
Forward Deployed Delivery — Vision-Lock to Production
The engagement model — how you embed, deliver and hand over.
Sponsor and stakeholder discovery
Agent use-case scoring and Flex Credit economics
Data readiness and grounding assessment
Vision-lock document and success metrics
Epics, stories and acceptance criteria for agents
Sprint planning and WSJF prioritisation
UAT design for agents
Demo and feedback loops
Git-backed DevOps Center pipelines
Deploying agents, prompts, Flows and Data 360 metadata
Feature flags, staged rollouts and rollback
Hypercare
Adoption metrics and change management
Value dashboards and KPIs
90-day review and next-wave backlog
Handover to run teams
11
Squad Residency
Work as a squad on a live customer-style mission with hiring-partner mentors.
Squad roles and rituals
Receiving an ambiguous customer brief
Vision-lock with a sponsor
Working agreements
Two-week build sprints
Mentor reviews from hiring partners
Design and code reviews
Demo days
Evaluation, red-team and Trust Layer evidence
Agent Fabric registration and governance sign-off
Go-live and hypercare
Value report
12
Capstone, Certifications & Career
One customer-embedded agentic mission, shipped with evidence, and a portfolio employers can verify.
Vision-lock pack with use-case scoring and guardrails
Multi-agent Agentforce solution grounded in Data 360 via Zero Copy
MCP exposure to Claude and Slack with Agent Fabric interoperability
Evaluation, red-team results, Trust Layer evidence and a value dashboard with a public verification URL
Agentforce Specialist
Platform Developer I and AI Associate
Data Cloud Consultant
Application Architect pathway (stretch)
Portfolio of agents, evaluations and delivery artefacts
Resume rewrite around shipped AI outcomes
FDE and Applied AI interview practice
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.
Forward Deployed AI Engineer (Salesforce)
Embed with customers to design, build and ship governed Agentforce solutions.
Agentforce Engineer / Developer
Build agents, actions, Agent Script and prompt templates in production.
Agentforce Solution Consultant
Run engagements from vision-lock to production launch.
Salesforce AI Integration Engineer
Data 360, MuleSoft, MCP servers and AIforce connectivity.
Data 360 Grounding Specialist
Retrievers, Data Library and unified profiles that make agents accurate.
AI Governance & Trust Specialist (Salesforce)
Trust Layer, Guardian, Agent Fabric evidence and compliance.
Applied AI / GenAI Solutions Engineer
Integrate LLM and agent capabilities into CRM workflows safely.
Salesforce Developer (AI-native)
Apex, LWC and Flow with Agentforce Vibes and Claude Code.
Salesforce Technical Consultant
Deliver Sales, Service and agent configuration for partner engagements.
Agentforce Solution Architect (career path)
Grow toward architecting multi-agent, multi-platform solutions.
What employers should see in your portfolio: that you can take an agentic mission from vision-lock to production — score the use case, build and ground the agent in Data 360, connect it through AIforce and MCP, evaluate and red-team it, evidence Trust Layer and Agent Fabric governance, release through DevOps Center, and prove value at the 90-day review.
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.
