SB
Spandana Bala
Salesforce Administrator
Hyderabad · India
Now at · Infosys
Salesforce · Solution Architect · Technical Architect · CTA pathway · Enrolling now
Salesforce Solution / Technical Architect
An architect-level program: build strong data, security, integration and identity architecture foundations, then design Agentforce 360, Data 360 and AIforce solutions that pass Well-Architected review — and defend them in front of a review board the way a CTA candidate does.
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 Solution / Technical Architect program?
A Salesforce architect designs the whole solution — data, security, integration, identity, development and now AI — so it scales, stays governed and can be built by the team in front of them. Most architecture courses end at diagrams and certification dumps. This program ends only when you have designed, documented and defended a multi-cloud solution with Agentforce agents grounded in Data 360, an AIforce and MCP interoperability plan, and a Well-Architected review that passes.
The complete delivery chain
Twelve links, one owner — end to end.
01DISCOVER & FRAME
- •Business capabilities, NFRs & constraints
- •Current-state landscape & system inventory
- •Architecture principles & decision records
- •Risk, assumptions & trade-off analysis
02DESIGN
- •Data, sharing & security architecture
- •Integration, identity & event architecture
- •Agentforce, Data 360 & AIforce design
- •Development standards, DevOps & environments
03GOVERN & DELIVER
- •Well-Architected review & design authority
- •Build oversight, code & config review
- •Performance, LDV & observability
- •Handover, roadmap & continuous architecture
AI in Salesforce · Dreamforce '26
Four layers, five model providers, one design. Architecture got harder.
Headless 360 & the Headless ToolkitNew '26
The platform exposed as APIs, 60+ MCP tools and CLI. Architects now design which capabilities are exposed to Claude, Slack, Coworker and third-party agents — and under which permissions.
Enterprise AI Harness & Agent FabricNew '26
Agent inventory, policy and interoperability today; a unified Harness experience expected early FY28. Multi-agent and agent-to-agent design is now an architecture domain.
Multi-model strategy — Koa, Claude, Gemini, Bedrock, OpenAIReasoning layer
Salesforce Koa (built with NVIDIA) alongside Anthropic, Google, AWS and OpenAI, all behind Salesforce Guardian with Zero Data Retention. Model selection, cost and fallback are design decisions.
Agentforce 360Digital workforce
Seven job-ready agents plus custom agents on the Atlas Reasoning Engine — topics, actions, Agent Script and Testing Center. Architects define action contracts, guardrails and escalation paths.
Data 360 & Zero CopyFoundation layer
Unified profiles, Zero Copy to Snowflake, BigQuery, Databricks and AWS (Glue, S3 Iceberg, Aurora, RDS, SageMaker), Informatica and MuleSoft. Grounding architecture decides agent accuracy.
Well-Architected & TrustGovernance layer
Salesforce Well-Architected — trusted, easy, adaptable — plus Trust Layer, Guardian and Shield. The review framework this program uses for every design.
What this means for your career: architect roles now ask for Agentforce, Data 360 and AI interoperability design alongside classic data, security and integration architecture — the differentiator is a defended, documented solution with agents in production, not a wall of certifications.
Who should join
Built for experienced practitioners stepping up to architecture.
Senior Salesforce developers
Senior admins & functional consultants
Technical leads & team leads
Integration & MuleSoft engineers
Architects from other platforms
Consultants targeting CTA
Prior experience: 3+ years on Salesforce or equivalent enterprise platforms recommended. The program assumes admin and developer fundamentals and builds architecture depth from there.
What you will be able to do
Design the whole solution — and defend it.
Design data & sharing architectureData models, LDV strategy, sharing, territory and Shield encryption decisions.
Design integration & identityPatterns, APIs, Platform Events, MuleSoft, SSO, OAuth and identity flows.
Architect Agentforce & Data 360Agent topology, action contracts, grounding, Trust Layer, Zero Copy and Agent Fabric.
Design for AIforce & MCPHeadless Toolkit exposure, MCP servers, multi-model strategy and interoperability.
Govern build & DevOpsStandards, environment strategy, DevOps Center, packaging and review gates.
Present & defendArchitecture artefacts, decision records and review-board presentations.
Course curriculum
Twelve sections. 53 modules. Discover → Design → Govern → Defend.
01
Salesforce Platform & the 2026 Stack for Architects
The four-layer stack as an architecture landscape, the Well-Architected framework and the artefacts an architect produces.
Multi-tenant architecture, metadata and governor limits as design constraints
Customer 360 apps and their architectural boundaries
Editions, licences and consumption as design inputs
Release cycle, API versioning and deprecation planning
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
Trusted, easy, adaptable — the pillars and their questions
Anti-patterns and their remediation
Using Well-Architected in design reviews
Mapping Well-Architected to enterprise frameworks — TOGAF, Zachman
CTA domains — system, data, security, integration, identity, development lifecycle, communication
Context, container and component diagrams
Architecture decision records and trade-off tables
Documentation standards and templates
Guardian and Zero Data Retention commitments per model provider
Trust Layer request path — grounding, masking, toxicity, audit
Designing for data residency and regulated industries
Threat modelling AI features
02
Solution Architecture & Requirements Framing
From business capability to solution options — the front end of every architecture.
Capability maps and value streams
Discovery workshops for architecture
Non-functional requirements — performance, scale, availability, compliance
Assumptions, constraints and risk registers
Declarative vs code vs AppExchange vs external
Build vs buy vs Agentforce job-ready agents
Weighted option analysis
Presenting options to decision makers
Org strategy decision framework
Multi-org data sharing and Salesforce-to-Salesforce alternatives
Mergers, divestitures and consolidation
Data 360 as the cross-org unifying layer
Industries clouds and OmniStudio architecture
Field Service, Marketing, Commerce and Revenue Cloud touchpoints
Experience Cloud architecture and licensing
Cross-cloud data and process consistency
03
Data Architecture & Large Data Volumes
Model for scale from day one — the domain most designs fail.
Conceptual, logical and physical models
Standard vs custom object decisions
Relationship design and skinny tables awareness
Master data and system-of-record decisions
LDV thresholds and symptoms
Indexes, selective queries and query plans
Data skew — ownership, lookup and account skew
Archiving, Big Objects and external objects
Migration strategy and sequencing
Bulk API 2.0, Data Loader and ETL tools
Validation, reconciliation and rollback
Cutover planning
Data ownership and stewardship models
Duplicate management architecture
Retention, deletion and residency
Data quality as an AI grounding prerequisite
DLOs, DMOs and the Customer 360 Data Model
Identity resolution design
Zero Copy — Snowflake, BigQuery, Databricks, AWS Glue, S3 Iceberg, Aurora, RDS, SageMaker
Informatica, MuleSoft and the Metadata Platform placement
04
Security & Sharing Architecture
Design access that scales to thousands of users and hundreds of agents.
OWD, role hierarchy and sharing rule design
Territory Management architecture
Apex managed sharing and implicit sharing
Sharing recalculation and performance
Permission-set-led access model
Permission set groups, muting and session-based permissions
Restriction and scoping rules
Access reviews and least privilege
Shield Platform Encryption design and trade-offs
Event Monitoring and Field Audit Trail
Security Center and Health Check baselines
Regulated industry patterns — HIPAA, PCI, GDPR, DPDP
Agent users, permission sets and action-level access
Permissions inheritance for Claudeforce, Slackforce and Coworker
Trust Layer, masking and Zero Data Retention in the design
Threat modelling prompt injection and data exfiltration
05
Identity & Access Management Architecture
SSO, OAuth and identity for employees, customers, partners and agents.
SAML, OpenID Connect and OAuth 2.0 flows
Identity providers and service providers
Salesforce as IdP vs SP
Session and token lifecycles
SSO with Okta, Entra ID and Ping
MFA and login flows
Just-in-time provisioning and SCIM
Delegated authentication
Experience Cloud identity and social sign-on
Customer Identity licensing and scale
Registration, passwordless and consent
Identity for Agentforce customer-facing agents
Connected apps and OAuth scopes design
JWT bearer, client credentials and named credentials
Identity for MCP servers and AIforce surfaces
Auditing non-human access
06
Integration Architecture
Patterns, protocols and platforms — the second most common failure domain.
Request-reply, fire-and-forget, batch, remote call-in, UI update
Synchronous vs asynchronous trade-offs
Idempotency, retries and error handling
Choosing between native, MuleSoft and iPaaS
REST, SOAP, Bulk 2.0, Composite and GraphQL APIs
Apex callouts, named credentials and limits
API-led connectivity and versioning
Rate limits and API consumption planning
Platform Events, Change Data Capture and Pub/Sub API
Event bus design, replay and ordering
Streaming to Kafka, AWS and Azure
Event-driven agent triggers
Anypoint Platform architecture
API-led connectivity — system, process, experience APIs
MuleSoft agent actions and Agent Fabric
Informatica for data integration and quality
Mutual TLS, OAuth and secrets management
Logging, tracing and monitoring integrations
Error queues and reconciliation
Integration testing strategy
07
Development Lifecycle & Technical Architecture
Set the standards developers build to and the pipeline they ship through.
Separation of concerns — service, domain, selector layers
Trigger frameworks and async design
LWC composition, LMS and performance
Code review standards and Code Analyzer
Sandbox topology and refresh cadence
Scratch orgs and source-driven development
Release trains and freeze periods
Deploying agents, prompts and Data 360 metadata
DevOps Center pipelines and Git strategy
GitHub Actions, Gearset and Copado overview
Unlocked and managed packages
Quality gates including Agentforce Testing Center
Test strategy across unit, integration, UAT and performance
Performance testing on Salesforce
Event Monitoring, logging and APM
Operational runbooks
Agentforce Vibes and the Salesforce Development plugin for Claude Code
Standards for AI-generated code review
Headless Toolkit and CLI in the pipeline
Guardrails for developer use of AI
08
Agentforce 360 Architecture
Design the digital workforce — topology, contracts, grounding, trust and cost. Aligns with the Agentforce Specialist certification at architect depth.
Atlas Reasoning Engine — planning, topic selection and action execution
Koa and multi-model choice — Anthropic, Google, AWS Bedrock, OpenAI
Job-ready agents — Piper, Hunter, Casey, Paige, Fin, Carter, Marshall
Employee vs customer-facing runtime and channels
Single agent vs multi-agent designs
Topic decomposition and scope boundaries
Agent-to-agent and Agent Fabric interoperability
Escalation, handoff and human-in-the-loop design
Designing deterministic, idempotent action contracts
Agent Script for controlled behaviour
External Services and MuleSoft actions
Bulk safety and limits inside agent actions
Retrievers, search indexes and Data Library
Prompt Builder grounding patterns
Data quality and consent prerequisites
Measuring and improving answer accuracy
Trust Layer controls in the design
Testing Center and evaluation strategy
Command Center observability
Flex Credit modelling and cost guardrails
09
AIforce, MCP & Multi-Model Architecture
Design Salesforce for a world where it is called from Claude, Slack and other agents.
AIforce as the live interface layer above the stack
Headless Toolkit — APIs, 60+ MCP tools and CLI
Permissions inheritance and Zero Data Retention
Beta status and architecture roadmap
MCP protocol fundamentals
Exposing Salesforce capabilities as MCP tools
Custom MCP servers and skills for Claude and Coworker
Publishing and governing tools on AgentExchange
Salesforce in Claude — plugin, MCP server and the 37 sales skills
Slack CRM, Slackbot and Slackforce Surfaces
Data exposure, channel and approval design
Pilot-to-scale architecture
Koa vs Claude vs Gemini vs Bedrock vs OpenAI — selection criteria
Cost, latency, quality and fallback design
Model governance and change control
Enterprise AI Harness readiness
Agent Fabric and cross-vendor agent interoperability
Informatica MCP servers with Bedrock AgentCore and Amazon Quick
ServiceNow, Workday and Microsoft agent touchpoints
Designing agent-to-agent trust boundaries
10
Architecture Governance & Design Authority
Run the review board, keep the estate healthy and manage change.
Charter, cadence and decision rights
Review checklists based on Well-Architected
Decision records and exceptions
Working with the platform owner and CoE
Debt identification and quantification
Optimizer, Health Check and Security Center
Remediation roadmaps
Deprecations and end-of-life
Reviewing partner designs
AppExchange and AgentExchange evaluation
Security review and ISV due diligence
Contracting for architecture quality
Architecture roadmaps and target states
Tracking Salesforce releases and roadmap signals
Innovation evaluation and proofs of concept
Communicating architecture to leadership
11
Communication, Presentation & Review Board Practice
The CTA-style skills that turn a good design into an approved one.
Telling the solution story for executives and engineers
Diagrams that communicate — system landscape, data model, integration, role hierarchy
Written solution documents
Handling questions and objections
Timed scenario analysis
Whiteboard solution design
Presentation and Q&A
Feedback and iteration
Scenario with Agentforce, Data 360 and AIforce requirements
Designing trust, grounding and interoperability under time pressure
Presentation and defence
Feedback and iteration
Technical leadership without authority
Mentoring and capability building
Working with sales and pre-sales
Ethics and professional judgement
12
Capstone, Certifications & Career
One enterprise architecture, defended in front of a board, with a portfolio employers can verify.
Multi-cloud solution across Sales, Service and Experience Cloud
Data, security, integration and identity architecture with LDV strategy
Agentforce agents grounded in Data 360 with MCP exposure to Claude and Slack
Well-Architected review, decision records and a defended presentation with a public verification URL
Application Architect — Data Architect, Sharing and Visibility Designer
System Architect — Integration Architect, Identity and Access Management Architect, Development Lifecycle and Deployment Architect
Agentforce Specialist and Data Cloud Consultant
Certified Technical Architect (CTA) review board pathway
Architecture portfolio — diagrams, ADRs, review outcomes
Resume rewrite around architecture outcomes
Architect interview case studies and whiteboard 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.
Salesforce Solution Architect
Design end-to-end solutions across clouds, data, integration and AI.
Salesforce Technical Architect
Own technical design, standards, DevOps and code architecture.
Agentforce / AI Solution Architect
Design agent topology, grounding, trust and MCP interoperability.
Salesforce Data Architect
Data models, LDV, migration and Data 360 architecture.
Salesforce Integration Architect
API, event and MuleSoft architecture across the enterprise.
Identity & Security Architect (Salesforce)
Sharing, Shield, SSO, OAuth and agent identity design.
Enterprise Architect — CRM & AI
Place Salesforce within the wider enterprise and AI landscape.
Pre-Sales / Solution Engineer (Architecture)
Design and present solutions in sales cycles.
Design Authority / Architecture Lead
Run review boards and governance for the Salesforce estate.
Certified Technical Architect (career path)
Progress toward the CTA review board.
What employers should see in your portfolio: that you can take a business problem to a defended architecture — frame it, design data, security, integration and identity, architect Agentforce and Data 360 with AIforce and MCP interoperability, pass a Well-Architected review, and present it to a board.
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.
